Abstract
Fundamental constants are a cornerstone of our physical laws. Any constant varying in space and/or time would reflect the existence of an almost massless field that couples to matter. This will induce a violation of the universality of free fall. Thus, it is of utmost importance for our understanding of gravity and of the domain of validity of general relativity to test for their constancy. We detail the relations between the constants, the tests of the local position invariance and of the universality of free fall. We then review the main experimental and observational constraints that have been obtained from atomic clocks, the Oklo phenomenon, solar system observations, meteorite dating, quasar absorption spectra, stellar physics, pulsar timing, the cosmic microwave background and big bang nucleosynthesis. At each step we describe the basics of each system, its dependence with respect to the constants, the known systematic effects and the most recent constraints that have been obtained. We then describe the main theoretical frameworks in which the lowenergy constants may actually be varying and we focus on the unification mechanisms and the relations between the variation of different constants. To finish, we discuss the more speculative possibility of understanding their numerical values and the apparent finetuning that they confront us with.
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1 Introduction
Fundamental constants appear everywhere in the mathematical laws we use to describe the phenomena of Nature. They seem to contain some truth about the properties of the physical world while their real nature seem to evade us.
The question of the constancy of the constants of physics was probably first addressed by Dirac [155, 156] who expressed, in his “Large Numbers hypothesis”, the opinion that very large (or small) dimensionless universal constants cannot be pure mathematical numbers and must not occur in the basic laws of physics. He suggested, on the basis of this numerological principle, that these large numbers should rather be considered as variable parameters characterizing the state of the universe. Dirac formed five dimensionless ratios among which^{Footnote 1} δ ≡ H_{0}ħ/m_{p}c^{2} ∼ 2h × 10^{−42} and \(\epsilon \equiv G{\rho _0}/H_0^2 \sim 5{h^{ 2}} \times {10^{ 4}}\) and asked the question of which of these ratios is constant as the universe evolves. Usually, δ varies as the inverse of the cosmic time while ϵ varies also with time if the universe is not described by an Einsteinde Sitter solution (i.e., when a cosmological constant, curvature or radiation are included in the cosmological model). Dirac then noticed that α_{G}/μα_{EM}, representing the relative magnitude of electrostatic and gravitational forces between a proton and an electron, was of the same order as H_{0}e^{2}/m_{e}c^{2} = δα_{EMμ} representing the age of the universe in atomic units so that his five numbers can be “harmonized” if one assumes that α_{G} and δ vary with time and scale as the inverse of the cosmic time.
This argument by Dirac is indeed not a physical theory but it opened many doors in the investigation on physical constants, both on questioning whether they are actually constant and on trying to understand the numerical values we measure.
First, the implementation of Dirac’s phenomenological idea into a fieldtheory framework was proposed by Jordan [268], who realized that the constants have to become dynamical fields and proposed a theory where both the gravitational and finestructure constants can vary ([497] provides a summary of some earlier attempts to quantify the cosmological implications of Dirac’s argument). Fierz [195] then realized that in such a case, atomic spectra will be spacetimedependent so that these theories can be observationally tested. Restricting to the subcase in which only G can vary led to definition of the class of scalartensor theories, which were further explored by Brans and Dicke [67]. This kind of theory was further generalized to obtain various functional dependencies for G in the formalization of scalartensor theories of gravitation (see, e.g., [124]).
Second, Dicke [151] pointed out that in fact the density of the universe is determined by its age, this age being related to the time needed to form galaxies, stars, heavy nuclei. … This led him to formulate that the presence of an observer in the universe places constraints on the physical laws that can be observed. In fact, what is meant by observer is the existence of (highly?) organized systems and this principle can be seen as a rephrasing of the question “why is the universe the way it is?” (see [252]). Carter [82, 83], who actually coined the term “anthropic principle” for it, showed that the numerological coincidences found by Dirac can be derived from physical models of stars and the competition between the weakness of gravity with respect to nuclear fusion. Carr and Rees [80] then showed how one can scale up from atomic to cosmological scales only by using combinations of α_{EM}, α= and m_{e}/m_{p}.
To summarize, Dirac’s insight was to question whether some numerical coincidences between very large numbers, that cannot be themselves explained by the theory in which they appear, was a mere coincidence or whether it can reveal the existence of some new physical laws. This gives three main roads of investigation

how do we construct theories in which what were thought to be constants are in fact dynamical fields,

how can we constrain, experimentally or observationally, the spacetime dependencies of the constants that appear in our physical laws

how can we explain the values of the fundamental constants and the finetuning that seems to exist between their numerical values.
While “varying constants” may seem, at first glance, to be an oxymoron, it has to be considered merely as jargon to be understood as “revealing new degrees of freedom, and their coupling to the known fields of our theory”. The tests on the constancy of the fundamental constants are indeed very important tests of fundamental physics and of the laws of Nature we are currently using. Detecting any such variation will indicate the need for new physical degrees of freedom in our theories, that is new physics.
The necessity of theoretical physics on deriving bounds on their variation is, at least, threefold:

1.
it is necessary to understand and to model the physical systems used to set the constraints. In particular one needs to relate the effective parameters that can be observationally constrained to a set of fundamental constants;

2.
it is necessary to relate and compare different constraints that are obtained at different spacetime positions. This often requires a spacetime dynamics and thus to specify a model as well as a cosmology;

3.
it is necessary to relate the variations of different fundamental constants.
Therefore, we shall start in Section 2 by recalling the link between the constants of physics and the theories in which they appear, as well as with metrology. From a theoretical point of view, the constancy of the fundamental constants is deeply linked with the equivalence principle and general relativity. In Section 2 we will recall this relation and in particular the link with the universality of free fall. We will then summarize the various constraints that exist on such variations, mainly for the fine structure constant and for the gravitational constant in Sections 3 and 4, respectively. We will then turn to the theoretical implications in Section 5 in describing some of the arguments backing up the fact that constants are expected to vary, the main frameworks used in the literature and the various ways proposed to explain why they have the values we observe today. We shall finish by a discussion on their spatial variations in Section 6 and by discussing the possibility to understand their numerical values in Section 7.
Various reviews have been written on this topic. We will refer to the review [500] as FVC and we mention the following later reviews [31, 47, 72, 119, 226, 281, 278, 501, 395, 503, 505] and we refer to [356] for the numerical values of the constants adopted in this review.
2 Constants and Fundamental Physics
2.1 About constants
Our physical theories introduce various structures to describe the phenomena of Nature. They involve various fields, symmetries and constants. These structures are postulated in order to construct a mathematicallyconsistent description of the known physical phenomena in the most unified and simple way.
We define the fundamental constants of a physical theory as any parameter that cannot be explained by this theory. Indeed, we are often dealing with other constants that in principle can be expressed in terms of these fundamental constants. The existence of these two sets of constants is important and arises from two different considerations. From a theoretical point of view we would like to extract the minimal set of fundamental constants, but often these constants are not measurable. From a more practical point of view, we need to measure constants, or combinations of constants, which allow us to reach the highest accuracy.
Therefore, these fundamental constants are contingent quantities that can only be measured. Such parameters have to be assumed constant in this theoretical framework for two reasons:

from a theoretical point of view: the considered framework does not provide any way to compute these parameters, i.e., it does not have any equation of evolution for them since otherwise it would be considered as a dynamical field,

from an experimental point of view: these parameters can only be measured. If the theories in which they appear have been validated experimentally, it means that, at the precisions of these experiments, these parameters have indeed been checked to be constant, as required by the necessity of the reproducibility of experimental results.
This means that testing for the constancy of these parameters is a test of the theories in which they appear and allow to extend our knowledge of their domain of validity. This also explains the definition chosen by Weinberg [526] who stated that they cannot be calculated in terms of other constants “…not just because the calculation is too complicated (as for the viscosity of water) but because we do not know of anything more fundamental”.
This has a series of implications. First, the list of fundamental constants to consider depends on our theories of physics and, thus, on time. Indeed, when introducing new, more unified or more fundamental, theories the number of constants may change so that this list reflects both our knowledge of physics and, more important, our ignorance. Second, it also implies that some of these fundamental constants can become dynamical quantities in a more general theoretical framework so that the tests of the constancy of the fundamental constants are tests of fundamental physics, which can reveal that what was thought to be a fundamental constant is actually a field whose dynamics cannot be neglected. If such fundamental constants are actually dynamical fields it also means that the equations we are using are only approximations of other and more fundamental equations, in an adiabatic limit, and that an equation for the evolution of this new field has to be obtained.
The reflections on the nature of the constants and their role in physics are numerous. We refer to the books [29, 215, 510, 509] as well as [59, 165, 216, 393, 521, 526, 538] for various discussions of this issue that we cannot develop at length here. This paragraph summarizes some of the properties of the fundamental constants that have attracted some attention.
2.1.1 Characterizing the fundamental constants
Physical constants seem to play a central role in our physical theories since, in particular, they determined the magnitudes of the physical processes. Let us sketch briefly some of their properties. How many fundamental constants should be considered? The set of constants, which are conventionally considered as fundamental [213] consists of the electron charge e, the electron mass m_{e}, the proton mass m_{p}, the reduced Planck constant ħ, the velocity of light in vacuum c, the Avogadro constant N_{a}, the Boltzmann constant k_{ B }, the Newton constant G, the permeability and permittivity of space, ε_{0} and μ_{0}. The latter has a fixed value in the SI system of unit (μ_{0} = 4π × 10^{−7} H m^{−1}), which is implicit in the definition of the Ampere; ε_{0} is then fixed by the relation ε_{0}μ_{0} = c^{−2}.
However, it is clear that this cannot correspond to the list of the fundamental constants, as defined earlier as the free parameters of the theoretical framework at hand. To define such a list we must specify this framework. Today, gravitation is described by general relativity, and the three other interactions and the matter fields are described by the standard model of particle physics. It follows that one has to consider 22 unknown constants (i.e., 19 unknown dimensionless parameters): the Newton constant G, 6 Yukawa couplings for the quarks (h_{ u }, h_{ d }, h_{ c }, h_{ s }, h_{ t }, h_{ b }) and 3 for the leptons (h_{e}, h_{ μ }, h_{ τ }), 2 parameters of the Higgs field potential (\((\hat \mu, \lambda)\), λ), 4 parameters for the CabibboKobayashiMaskawa matrix (3 angles θ_{ ij } and a phase δ_{CKM}), 3 coupling constants for the gauge groups SU(3)_{ c } × SU(2)_{ L } × U(1)_{ Y } (g_{1}, g_{2}, g_{3} or equivalently g_{2}, g_{3} and the Weinberg angle θ_{W}), and a phase for the QCD vacuum (θ_{QCD}), to which one must add the speed of light c and the Planck constant h. See Table 1 for a summary and their numerical values.
Again, this list of fundamental constants relies on what we accept as a fundamental theory. Today we have many hints that the standard model of particle physics has to be extended, in particular to include the existence of massive neutrinos. Such an extension will introduce at least seven new constants (3 Yukawa couplings and 4 MakiNakagawaSakata (MNS) parameters, similar to the CKM parameters). On the other hand, the number of constants can decrease if some unifications between various interaction exist (see Section 5.3.1 for more details) since the various coupling constants may be related to a unique coupling constant α_{ U } and an energy scale of unification M_{ U } through
where the b_{ i } are numbers, which depend on the explicit model of unification. Note that this would also imply that the variations, if any, of various constants shall be correlated.
Relation to other usual constants. These parameters of the standard model are related to various constants that will appear in this review (see Table 2). First, the quartic and quadratic coefficients of the Higgs field potential are related to the Higgs mass and vev, \({m_H} = \sqrt { {{\hat \mu}^2}/2}\) and \(\upsilon = \sqrt { {{\hat \mu}^2}/\lambda}\). The latter is related to the Fermi constant \({G_{\rm{F}}} = {({\upsilon ^2}\sqrt 2)^{ 1}}\), which imposes that v = (246.7 ± 0.2) GeV while the Higgs mass is badly constrained. The masses of the quarks and leptons are related to their Yukawa coupling and the Higgs vev by \(m = h\upsilon/\sqrt 2\). The values of the gauge couplings depend on energy via the renormalization group so that they are given at a chosen energy scale, here the mass of the Zboson, m_{ z }. g_{1} and g_{2} are related by the Weinberg angle as g_{1} = g_{2} tan θ_{W}. The electromagnetic coupling constant is not g_{1} since SU(2)_{ L } × U(1)_{ Y } is broken to U(1)_{elec} so that it is given by
Defining the finestructure constant as \({\alpha _{{\rm{EM}}}} = g_{{\rm{EM}}}^2/\hbar c\), the (usual) zero energy electromagnetic fine structure constant is α_{EM} = 1/137.03599911(46) is related to α_{EM}(m_{ Z }) = 1/(127.918 ± 0.018) by the renormalization group equations. In particular, it implies that \({\alpha _{{\rm{EM}}}} \sim \alpha ({m_z}) + {2 \over {9\pi}}\ln \left({{{m_z^{20}} \over {m_{\rm{u}}^4m_{\rm{c}}^4{m_{\rm{d}}}{m_{\rm{s}}}{m_{\rm{b}}}m_{\rm{e}}^3m_\mu ^3m_\tau ^3}}} \right)\). We define the QCD energy scale, Λ_{QCD}, as the energy at which the strong coupling constant diverges. Note that it implies that Λ_{QCD} also depends on the Higgs and fermion masses through threshold effects.
More familiar constants, such as the masses of the proton and the neutron are, as we shall discuss in more detail below (see Section 5.3.2), more difficult to relate to the fundamental parameters because they depend not only on the masses of the quarks but also on the electromagnetic and strong binding energies.
Are some constants more fundamental? As pointedout by LévyLeblond [328], all constants of physics do not play the same role, and some have a much deeper role than others. Following [328], we can define three classes of fundamental constants, class A being the class of the constants characteristic of a particular system, class B being the class of constants characteristic of a class of physical phenomena, and class C being the class of universal constants. Indeed, the status of a constant can change with time. For instance, the velocity of light was initially a class A constant (describing a property of light), which then became a class B constant when it was realized that it was related to electromagnetic phenomena and, to finish, it ended as a type C constant (it enters special relativity and is related to the notion of causality, whatever the physical phenomena). It has even become a much more fundamental constant since it now enters in the definition of the meter [413] (see Ref. [510] for a more detailed discussion). This has to be contrasted with the proposition of Ref. [538] to distinguish the standard model free parameters as the gauge and gravitational couplings (which are associated to internal and spacetime curvatures) and the other parameters entering the accommodation of inertia in the Higgs sector.
Relation with physical laws. LévyLeblond [328] proposed to rank the constants in terms of their universality and he proposed that only three constants be considered to be of class C, namely G, ħ and c. He pointed out two important roles of these constants in the laws of physics. First, they act as concept synthesizer during the process of our understanding of the laws of nature: contradictions between existing theories have often been resolved by introducing new concepts that are more general or more synthetic than older ones. Constants build bridges between quantities that were thought to be incommensurable and thus allow new concepts to emerge. For example c underpins the synthesis of space and time while the Planck constant allowed to related the concept of energy and frequency and the gravitational constant creates a link between matter and spacetime. Second, it follows that these constants are related to the domains of validity of these theories. For instance, as soon as velocity approaches c, relativistic effects become important, relativistic effects cannot be negligible. On the other hand, for speed much below c, Galilean kinematics is sufficient. Planck constant also acts as a referent, since if the action of a system greatly exceeds the value of that constant, classical mechanics will be appropriate to describe this system. While the place of c (related to the notion of causality) and ħ (related to the quantum) in this list are well argued, the place of G remains debated since it is thought that it will have to be replaced by some mass scale.
Evolution. There are many ways the list of constants can change with our understanding of physics. First, new constants may appear when new systems or new physical laws are discovered; this is, for instance, the case of the charge of the electron or more recently the gauge couplings of the nuclear interactions. A constant can also move from one class to a more universal class. An example is that of the electric charge, initially of class A (characteristic of the electron), which then became class B when it was understood that it characterizes the strength of the electromagnetic interaction. A constant can also disappear from the list, because it is either replaced by more fundamental constants (e.g., the Earth acceleration due to gravity and the proportionality constant entering Kepler law both disappeared because they were “explained” in terms of the Newton constant and the mass of the Earth or the Sun) or because it can happen that a better understanding of physics teaches us that two hitherto distinct quantities have to be considered as a single phenomenon (e.g., the understanding by Joule that heat and work were two forms of energy led to the fact that the Joule constant, expressing the proportionality between work and heat, lost any physical meaning and became a simple conversion factor between units used in the measurement of heat (calories) and work (Joule)). Nowadays the calorie has fallen in disuse. Indeed demonstrating that a constant is varying will have direct implications on our list of constants.
In conclusion, the evolution of the number, status of the constants can teach us a lot about the evolution of the ideas and theories in physics since it reflects the birth of new concepts, their evolution and unification with other ones.
2.1.2 Constants and metrology
Since we cannot compute them in the theoretical framework in which they appear, it is a crucial property of the fundamental constants (but in fact of all the constants) that their value can be measured. The relation between constants and metrology is a huge subject to which we just draw the attention on some selected aspects. For more discussions, see [56, 280, 278].
The introduction of constants in physical laws is also closely related to the existence of systems of units. For instance, Newton’s law states that the gravitational force between two masses is proportional to each mass and inversely proportional to the square of their separation. To transform the proportionality to an equality one requires the use of a quantity with dimension of m^{3} kg^{−1} s^{−2} independent of the separation between the two bodies, of their mass, of their composition (equivalence principle) and on the position (local position invariance). With an other system of units the numerical value of this constant could have simply been anything. Indeed, the numerical value of any constant crucially depends on the definition of the system of units.
Measuring constants. The determination of the laboratory value of constants relies mainly on the measurements of lengths, frequencies, times, … (see [414] for a treatise on the measurement of constants and [213] for a recent review). Hence, any question on the variation of constants is linked to the definition of the system of units and to the theory of measurement. The behavior of atomic matter is determined by the value of many constants. As a consequence, if, e.g., the finestructure constant is spacetime dependent, the comparison between several devices such as clocks and rulers will also be spacetime dependent. This dependence will also differ from one clock to another so that metrology becomes both device and spacetime dependent, a property that will actually be used to construct tests of the constancy of the constants.
Indeed a measurement is always a comparison between two physical systems of the same dimensions. This is thus a relative measurement, which will give as result a pure number. This trivial statement is oversimplifying since in order to compare two similar quantities measured separately, one needs to perform a number of comparisons. In order to reduce the number of comparisons (and in particular to avoid creating every time a chain of comparisons), a certain set of them has been included in the definitions of units. Each units can then be seen as an abstract physical system, which has to be realized effectively in the laboratory, and to which another physical system is compared. A measurement in terms of these units is usually called an absolute measurement. Most fundamental constants are related to microscopic physics and their numerical values can be obtained either from a pure microscopic comparison (as is, e.g., the case for m_{e}/m_{p}) or from a comparison between microscopic and macroscopic values (for instance to deduce the value of the mass of the electron in kilogram). This shows that the choice of the units has an impact on the accuracy of the measurement since the pure microscopic comparisons are in general more accurate than those involving macroscopic physics. This implies that only the variation of dimensionless constants can be measured and in case such a variation is detected, it is impossible to determine, which dimensional constant is varying [183].
It is also important to stress that in order to deduce the value of constants from an experiment, one usually needs to use theories and models. An example [278] is provided by the Rydberg constant. It can easily be expressed in terms of some fundamental constants as \({R_\infty} = \alpha _{{\rm{EM}}}^2{m_{\rm{e}}}c/2h\). It can be measured from, e.g., the triplet 1s − 2s transition in hydrogen, the frequency of which is related to the Rydberg constant and other constants by assuming QED so that the accuracy of R_{∞} is much lower than that of the measurement of the transition. This could be solved by defining R_{∞} 4ν_{H}(1s − 2s)/3c but then the relation with more fundamental constants would be more complicated and actually not exactly known. This illustrates the relation between a practical and a fundamental approach and the limitation arising from the fact that we often cannot both exactly calculate and directly measure some quantity. Note also that some theoretical properties are plugged in the determination of the constants.
As a conclusion, let us recall that (i) in general, the values of the constants are not determined by a direct measurement but by a chain involving both theoretical and experimental steps, (ii) they depend on our theoretical understanding, (iii) the determination of a selfconsistent set of values of the fundamental constants results from an adjustment to achieve the best match between theory and a defined set of experiments (which is important because we actually know that the theories are only good approximation and have a domain of validity) (iv) that the system of units plays a crucial role in the measurement chain, since for instance in atomic units, the mass of the electron could have been obtained directly from a mass ratio measurement (even more precise!) and (v) fortunately the test of the variability of the constants does not require a priori to have a highprecision value of the considered constants.
System of units. Thus, one needs to define a coherent system of units. This has a long, complex and interesting history that was driven by simplicity and universality but also by increasing stability and accuracy [29, 509].
Originally, the sizes of the human body were mostly used to measure the length of objects (e.g., the foot and the thumb gave feet and inches) and some of these units can seem surprising to us nowadays (e.g., the span was the measure of hand with fingers fully splayed, from the tip of the thumb to the tip of the little finger!). Similarly weights were related to what could be carried in the hand: the pound, the ounce, the dram.… Needless to say, this system had a few disadvantages since each country, region has its own system (for instance in France there was more than 800 different units in use in 1789). The need to define a system of units based on natural standard led to several propositions to define a standard of length (e.g., the mille by Gabriel Mouton in 1670 defined as the length of one angular minute of a great circle on the Earth or the length of the pendulum that oscillates once a second by Jean Picard and Christiaan Huygens). The real change happened during the French Revolution during which the idea of a universal and non anthropocentric system of units arose. In particular, the Assemblée adopted the principle of a uniform system of weights and measures on 8 May 1790 and, in March 1791 a decree (these texts are reprinted in [510]) was voted, stating that a quarter of the terrestrial meridian would be the basis of the definition of the meter (from the Greek metron, as proposed by Borda): a meter would henceforth be one ten millionth part of a quarter of the terrestrial meridian. Similarly the gram was defined as the mass of one cubic centimeter of distilled water (at a precise temperature and pressure) and the second was defined from the property that a mean solar day must last 24 hours.
To make a long story short, this led to the creation of the metric system and then of the signature of La convention du mètre in 1875. Since then, the definition of the units have evolved significantly. First, the definition of the meter was related to more immutable systems than our planet, which, as pointed out by Maxwell in 1870, was an arbitrary and inconstant reference. He then suggested that atoms may be such a universal reference. In 1960, the International Bureau of Weights and Measures (BIPM) established a new definition of the meter as the length equal to 1650763 wavelengths, in a vacuum, of the transition line between the levels 2p_{10} and 5d_{5} of krypton86. Similarly the rotation of the Earth was not so stable and it was proposed in 1927 by André Danjon to use the tropical year as a reference, as adopted in 1952. In 1967, the second was also related to an atomic transition, defined as the duration of 9162631770 periods of the transition between the two hyperfine levels of the ground state of caesium133. To finish, it was decided in 1983, that the meter shall be defined by fixing the value of the speed of light to c = 299792458 m s^{−1} and we refer to [55] for an up to date description of the SI system. Today, the possibility to redefine the kilogram in terms of a fixed value of the Planck constant is under investigation [279].
This summary illustrates that the system of units is a human product and all SI definitions are historically based on nonrelativistic classical physics. The changes in the definition were driven by the will to use more stable and more fundamental quantities so that they closely follow the progress of physics. This system has been created for legal use and indeed the choice of units is not restricted to SI. SI systems and the number of basic units. The International System of Units defines seven basic units: the meter (m), second (s) and kilogram (kg), the Ampere (A), Kelvin (K), mole (mol) and candela (cd), from which one defines secondary units. While needed for pragmatic reasons, this system of units is unnecessarily complicated from the point of view of theoretical physics. In particular, the Kelvin, mole and candela are derived from the four other units since temperature is actually a measure of energy, the candela is expressed in terms of energy flux so that both can be expressed in mechanical units of length [L], mass [M] and time [T]. The mole is merely a unit denoting numbers of particles and has no dimension.
The status of the Ampere is interesting in itself. The discovery of the electric charge [Q] led to the introduction of a new units, the Coulomb. The Coulomb law describes the force between two charges as being proportional to the product of the two charges and to the inverse of the distance squared. The dimension of the force being known as [MLT^{−2}], this requires the introduction of a new constant ε_{0} (which is only a conversion factor), with dimensions [Q^{2}M^{−1}L^{−3}T^{2}] in the Coulomb law, and that needs to be measured. Another route could have been followed since the Coulomb law tells us that no new constant is actually needed if one uses [M^{1/2}L^{3/2}T^{−1}] as the dimension of the charge. In this system of units, known as Gaussian units, the numerical value of ε_{0} is 1. Hence the Coulomb can be expressed in terms of the mechanical units [L], [M] and [T], and so will the Ampere. This reduces the number of conversion factors, that need to be experimentally determined, but note that both choices of units assume the validity of the Coulomb law. Natural units. The previous discussion tends to show that all units can be expressed in terms of the three mechanical units. It follows, as realized by Johnstone Stoney in 1874^{Footnote 2}, that these three basic units can be defined in terms of 3 independent constants. He proposed [27, 267] to use three constants: the Newton constant, the velocity of light and the basic units of electricity, i.e., the electron charge, in order to define, from dimensional analysis a “natural series of physical units” defined as
where the ε_{0} factor has been included because we are using the SI definition of the electric charge. In such a system of units, by construction, the numerical value of G, e and c is 1, i.e., \(c = 1 \times {\ell _{\rm{S}}}\cdot t_{\rm{S}}^{ 1}\) etc.
A similar approach to the definition of the units was independently proposed by Planck [418] on the basis of the two constants a and b entering the Wien law and G, which he reformulated later [419] in terms of c, G and ħ as
The two systems are clearly related by the finestructure constant since e^{2}/4πε_{0} = α_{EM}hc.
Indeed, we can construct many such systems since the choice of the 3 constants is arbitrary. For instance, we can construct a system based on (e, m_{e}, h), that we can call the Bohr units, which will be suited to the study of the atom. The choice may be dictated by the system, which is studied (it is indeed far fetched to introduce G in the construction of the units when studying atomic physics) so that the system is well adjusted in the sense that the numerical values of the computations are expected to be of order unity in these units.
Such constructions are very useful for theoretical computations but not adapted to measurement so that one needs to switch back to SI units. More important, this shows that, from a theoretical point of view, one can define the system of units from the laws of nature, which are supposed to be universal and immutable. Do we actually need 3 natural units? is an issue debated at length. For instance, Duff, Okun and Veneziano [165] respectively argue for none, three and two (see also [535]). Arguing for no fundamental constant leads to consider them simply as conversion parameters. Some of them are, like the Boltzmann constant, but some others play a deeper role in the sense that when a physical quantity becomes of the same order as this constant, new phenomena appear; this is the case, e.g., of ħ and c, which are associated respectively to quantum and relativistic effects. Okun [392] considered that only three fundamental constants are necessary, as indicated by the International System of Units. In the framework of quantum field theory + general relativity, it seems that this set of three constants has to be considered and it allows to classify the physical theories (with the famous cube of physical theories). However, Veneziano [514] argued that in the framework of string theory one requires only two dimensionful fundamental constants, c and the string length λ_{ s }. The use of ħ seems unnecessary since it combines with the string tension to give λ_{ s }. In the case of the NambuGoto action \(S/\hbar = (T/\hbar)\int {{\rm{d}(Area)}} \equiv \lambda _{\mathcal S}^{ 2}\int {\rm{d}(Area)}\) and the Planck constant is just given by \(\lambda _{\mathcal S}^{ 2}\). In this view, ħ has not disappeared but has been promoted to the role of a UV cutoff that removes both the infinities of quantum field theory and singularities of general relativity. This situation is analogous to pure quantum gravity [388] where ħ and G never appear separately but only in the combination \({\ell _{{\rm{P1}}}} = \sqrt {G\hbar/{c^3}}\) so that only c and ℓ_{Pl} are needed. Volovik [520] made an analogy with quantum liquids to clarify this. There an observer knows both the effective and microscopic physics so that he can judge whether the fundamental constants of the effective theory remain fundamental constants of the microscopic theory. The status of a constant depends on the considered theory (effective or microscopic) and, more interestingly, on the observer measuring them, i.e., on whether this observer belongs to the world of lowenergy quasiparticles or to the microscopic world. Fundamental parameters. Once a set of three independent constants has been chosen as natural units, then all other constants are dimensionless quantities. The values of these combinations of constants does not depend on the way they are measured, [110, 164, 437], on the definition of the units etc.… It follows that any variation of constants that will leave these numbers unaffected is actually just a redefinition of units.
These dimensionless numbers represent, e.g., the mass ratio, relative magnitude of strength etc.… Changing their values will indeed have an impact on the intensity of various physical phenomena, so that they encode some properties of our world. They have specific values (e.g., α_{EM} ∼ 1/137, m_{p}/m_{e} ∼ 1836, etc.) that we may hope to understand. Are all these numbers completely contingent, or are some (why not all?) of them related by relations arising from some yet unknown and more fundamental theories. In such theories, some of these parameters may actually be dynamical quantities and, thus, vary in space and time. These are our potential varying constants.
2.2 The constancy of constants as a test of general relativity
The previous paragraphs have yet emphasize why testing for the consistency of the constants is a test of fundamental physics since it can reveal the need for new physical degrees of freedom in our theory. We now want to stress the relation of this test with other tests of general relativity and with cosmology.
2.2.1 General relativity
The tests of the constancy of fundamental constants take all their importance in the realm of the tests of the equivalence principle [540]. Einstein general relativity is based on two independent hypotheses, which can conveniently be described by decomposing the action of the theory as S = S_{grav} + S_{matter}.
The equivalence principle has strong implication for the functional form of S_{grav}. This principle includes three hypotheses:

the universality of free fall,

the local position invariance,

the local Lorentz invariance.
In its weak form (that is for all interactions but gravity), it is satisfied by any metric theory of gravity and general relativity is conjectured to satisfy it in its strong form (that is for all interactions including gravity). We refer to [540] for a detailed description of these principles. The weak equivalence principle can be mathematically implemented by assuming that all matter fields are minimally coupled to a single metric tensor g_{ μν }. This metric defines the length and times measured by laboratory clocks and rods so that it can be called the physical metric. This implies that the action for any matter field, ψ say, can be written as
This metric coupling ensures in particular the validity of the universality of freefall. Since locally, in the neighborhood of the worldline, there always exists a change of coordinates so that the metric takes a Minkowskian form at lowest order, the gravitational field can be locally “effaced” (up to tidal effects). If we identify this neighborhood to a small lab, this means that any physical properties that can be measured in this lab must be independent of where and when the experiments are carried out. This is indeed the assumption of local position invariance, which implies that the constants must take the same value independent of the spacetime point where they are measured. Thus, testing the constancy of fundamental constants is a direct test of this principle and therefore of the metric coupling. Interestingly, the tests we are discussing in this review allow one to extend them much further than the solar scales and even in the early universe, an important information to check the validity of relativity in cosmology.
As an example, the action of a pointparticle reads
with v^{μ} ≡ dx^{μ}/dt. The equation of motion that one derives from this action is the usual geodesic equation
where u^{μ} = dx^{μ}/cdτ, τ being the proper time; ∇_{ μ } is the covariant derivative associated with the metric g_{ μν } and a^{ν} is the 4acceleration. Any metric theory of gravity will enjoy such a matter Lagrangian and the worldline of any test particle shall be a geodesic of the spacetime with metric g_{ μν }, as long as there is no other long range force acting on it (see [190] for a detailed review of motion in alternative theories of gravity).
Note that in the Newtonian limit g_{00} = −1 − 2Φ_{ N }/c^{2} where Φ_{ N } is the Newtonian potential. It follows that, in the slow velocity limit, the geodesic equation reduces to
hence defining the Newtonian acceleration g_{ N }. Recall that the proper time of a clock is related to the coordinate time by \({\rm{d}}\tau = \sqrt { {g_{00}}} {\rm{d}}t\). Thus, if one exchanges electromagnetic signals between two identical clocks in a stationary situation, the apparent difference between the two clocks rates will be
at lowest order. This is the universality of gravitational redshift.
The assumption of a metric coupling is actually well tested in the solar system:

First, it implies that all nongravitational constants are spacetime independent, which have been tested to a very high accuracy in many physical systems and for various fundamental constants; this is the subject of this review.

Second, the isotropy has been tested from the constraint on the possible quadrupolar shift of nuclear energy levels [99, 304, 422] proving that different matter fields couple to a unique metric tensor at the 10^{−27} level.

Third, the universality of free fall can be tested by comparing the accelerations of two test bodies in an external gravitational field. The parameter η_{12} defined as
$${\eta _{12}} \equiv 2{{\vert {{\bf{a}}_1}  {{\bf{a}}_2}\vert} \over {\vert {{\bf{a}}_1} + {{\bf{a}}_2}\vert}},$$(5)can be constrained experimentally, e.g., in the laboratory by comparing the acceleration of a beryllium and a copper mass in the Earth gravitational field [4] to get
$${\eta _{{\rm{Be,Cu}}}} = {(}  1.9 \pm 2.5{)} \times {10^{ 12}}.$$(6)Similarly the comparison of Earthcorelike and Moonmantlelike bodies gave [23]
$${\eta _{{\rm{Earth,Moon}}}} = {(}0.1 \pm 2.7 \pm 1.7{)} \times {10^{ 13}},$$(7)and experiments with torsion balance using test bodies composed of tellurium an bismuth allowed to set the constraint [450]
$${\eta _{{\rm{Te,Bi}}}} = {(}0.3 \pm 1.8{)} \times {10^{ 13}}.$$(8)The Lunar Laser ranging experiment [543], which compares the relative acceleration of the Earth and Moon in the gravitational field of the Sun, also set the constraints
$${\eta _{{\rm{Earth,Moon}}}} = {(}  1.0 \pm 1.4{)} \times {10^{ 13}}.$$(9)Note that since the core represents only 1/3 of the mass of the Earth, and since the Earth’s mantle has the same composition as that of the Moon (and thus shall fall in the same way), one loses a factor of three, so that this constraint is actually similar to the one obtained in the lab. Further constraints are summarized in Table 3. The latter constraint also contains some contribution from the gravitational binding energy and thus includes the strong equivalence principle. When the laboratory result of [23] is combined with the LLR results of [542] and [365], one gets a constraints on the strong equivalence principle parameter, respectively
$${\eta _{{\rm{SEP}}}} = (3 \pm 6) \times {10^{ 13}}\;\;{\rm{and}}\;\;{\eta _{{\rm{SEP}}}} = ( 4 \pm 5) \times {10^{ 13}}.$$Large improvements are expected thanks to existence of two dedicated space mission projects: Microscope [493] and STEP [355].

Fourth, the Einstein effect (or gravitational redshift) has been measured at the 2 × 10^{−4} level [517]. We can conclude that the hypothesis of metric coupling is extremely welltested in the solar system.
The second building block of general relativity is related to the dynamics of the gravitational sector, assumed to be dictated by the EinsteinHilbert action
This defines the dynamics of a massless spin2 field \(g_{\mu \nu}^{\ast}\), called the Einstein metric. General relativity then assumes that both metrics coincide, \({g_{\mu \nu}} = g_{\mu \nu}^{\ast}\) (which is related to the strong equivalence principle), but it is possible to design theories in which this is indeed not the case (see the example of scalartensor theories below; Section 5.1.1) so that general relativity is one out of a large family of metric theories.
The variation of the total action with respect to the metric yields the Einstein equations
where \({T^{\mu \nu}} \equiv \left({2/\sqrt { g}} \right)\delta {S_{{\rm{matter}}}}/\delta {g_{\mu \nu}}\) is the matter stressenergy tensor. The coefficient 8πG/c^{4} is determined by the weakfield limit of the theory that should reproduce the Newtonian predictions.
The dynamics of general relativity can be tested in the solar system by using the parameterized postNewtonian formalism (PPN). Its is a general formalism that introduces 10 phenomenological parameters to describe any possible deviation from general relativity at the first postNewtonian order [540, 541] (see also [60] for a review on higher orders). The formalism assumes that gravity is described by a metric and that it does not involve any characteristic scale. In its simplest form, it reduces to the two Eddington parameters entering the metric of the Schwartzschild metric in isotropic coordinates
Indeed, general relativity predicts β^{PPN} = γ^{PPN} = 1.
These two phenomenological parameters are constrained (1) by the shift of the Mercury perihelion [457], which implies that ∣2γ^{PPN} − β^{PPN} − 1∣ < 3 × 10^{−3}, (2) the Lunar laser ranging experiments [543], which implies that ∣4β^{PPN} − γ^{PPN} − 3∣ = (4.4 ± 4.5) × 10^{−4} and (3) by the deflection of electromagnetic signals, which are all controlled by γ^{PPN}. For instance the very long baseline interferometry [459] implies that ∣γ^{PPN} − 1∣ = 4 × 10^{−4}, while the measurement of the time delay variation to the Cassini spacecraft [53] sets γ^{PPN} − 1 = (2.1 ± 2.3) × 10^{−5}.
The PPN formalism does not allow to test finite range effects that could be caused, e.g., by a massive degree of freedom. In that case one expects a Yukawatype deviation from the Newton potential,
that can be probed by “fifth force” experimental searches. λ characterizes the range of the Yukawa deviation of strength α. The constraints on (λ, α) are summarized in [256], which typically shows that α < 10^{−2} on scales ranging from the millimeter to the solar system size.
General relativity is also tested with pulsars [125, 189] and in the strong field regime [425]. For more details we refer to [129, 495, 540, 541]. Needless to say that any extension of general relativity has to pass these constraints. However, deviations from general relativity can be larger in the past, as we shall see, which makes cosmology an interesting physical system to extend these constraints.
2.2.2 Varying constants and the universality of free fall
As the previous description shows, the constancy of the fundamental constants and the universality are two pillars of the equivalence principle. Dicke [152] realized that they are actually not independent and that if the coupling constants are spatially dependent then this will induce a violation of the universality of free fall.
The connection lies in the fact that the mass of any composite body, starting, e.g., from nuclei, includes the mass of the elementary particles that constitute it (this means that it will depend on the Yukawa couplings and on the Higgs sector parameters) but also a contribution, E_{binding}/c^{2}, arising from the binding energies of the different interactions (i.e., strong, weak and electromagnetic) but also gravitational for massive bodies. Thus, the mass of any body is a complicated function of all the constants, m[α_{ i }].
It follows that the action for a point particle is no more given by Equation (2) but by
where α_{ j }, is a list of constants including α_{EM} but also many others and where the index A in m_{ A } recalls that the dependency in these constants is a priori different for bodies of different chemical composition. The variation of this action gives the equation of motion
It follows that a test body will not enjoy a geodesic motion. In the Newtonian limit g_{00} = − 1 + 2Φ_{ N }/c2, and at first order in v/c, the equation of motion of a test particle reduces to
so that in the slow velocity (and slow variation) limit it reduces to
where we have introduce the sensitivity of the mass A with respect to the variation of the constant α_{ i } by
This simple argument shows that if the constants depend on time then there must exist an anomalous acceleration that will depend on the chemical composition of the body A.
This anomalous acceleration is generated by the change in the (electromagnetic, gravitational, …) binding energies [152, 246, 386] but also in the Yukawa couplings and in the Higgs sector parameters so that the α_{ i }dependencies are a priori compositiondependent. As a consequence, any variation of the fundamental constants will entail a violation of the universality of free fall: the total mass of the body being space dependent, an anomalous force appears if energy is to be conserved. The variation of the constants, deviation from general relativity and violation of the weak equivalence principle are in general expected together.
On the other hand, the composition dependence of δa_{ A } and thus of η_{ AB } can be used to optimize the choice of materials for the experiments testing the equivalence principle [118, 120, 122] but also to distinguish between several models if data from the universality of free fall and atomic clocks are combined [143].
From a theoretical point of view, the computation of η_{ AB } will requires the determination of the coefficients f_{ Ai }. This can be achieved in two steps by first relating the new degrees of freedom of the theory to the variation of the fundamental constants and then relating them to the variation of the masses. As we shall see in Section 5, the first issue is very model dependent while the second is especially difficult, particularly when one wants to understand the effect of the quark mass, since it is related to the intricate structure of QCD and its role in low energy nuclear reactions.
As an example, the mass of a nuclei of charge Z and atomic number A can be expressed as
where E_{S} and E_{EM} are respectively the strong and electromagnetic contributions to the binding energy. The BetheWeizäcker formula allows to estimate the latter as
if we decompose the proton and neutron masses as [230] m_{(p,n)} = u_{3} + b_{(u,d)}m_{u} + b_{(d,u)}m_{d} + B_{(p,n)}α_{EM} where u_{3} is the pure QCD approximation of the nucleon mass (b_{u}, b_{d} and B(_{n,p})/u_{3} being pure numbers), it reduces to
with N = A − Z, the neutron number. For an atom, one would have to add the contribution of the electrons, Zm_{e}. This form depends on strong, weak and electromagnetic quantities. The numerical coefficients B_{(n,p)} are given explicitly by [230]
Such estimations were used in the first analysis of the relation between variation of the constant and the universality of free fall [135, 166] but the dependency on the quark mass is still not well understood and we refer to [120, 122, 157, 159, 208] for some attempts to refine this description.
For macroscopic bodies, the mass has also a negative contribution
from the gravitational binding energy. As a conclusion, from (17) and (19), we expect the mass to depend on all the coupling constant, m(α_{EM}, α_{W}, α_{S}, α_{G}, …). We shall discuss this issue in more detail in Section 5.3.2.
Note that varying coupling constants can also be associated with violations of local Lorentz invariance and CPT symmetry [298, 52, 242].
2.2.3 Relations with cosmology
Most constraints on the time variation of the fundamental constants will not be local and related to physical systems at various epochs of the evolution of the universe. It follows that the comparison of different constraints requires a full cosmological model.
Our current cosmological model is known as the ΛCDM (see [409] for a detailed description, and Table 4 for the typical value of the cosmological parameters). It is important to recall that its construction relies on 4 main hypotheses: (H1) a theory of gravity; (H2) a description of the matter components contained in the Universe and their nongravitational interactions; (H3) symmetry hypothesis; and (H4) a hypothesis on the global structure, i.e., the topology, of the Universe. These hypotheses are not on the same footing since H1 and H2 refer to the physical theories. However, these hypotheses are not sufficient to solve the field equations and we must make an assumption on the symmetries (H3) of the solutions describing our Universe on large scales while H4 is an assumption on some global properties of these cosmological solutions, with same local geometry. But the last two hypothesis are unavoidable because the knowledge of the fundamental theories is not sufficient to construct a cosmological model [504].
The ΛCDM model assumes that gravity is described by general relativity (H1), that the Universe contains the fields of the standard model of particle physics plus some dark matter and a cosmological constant, the latter two having no physical explanation at the moment. It also deeply involves the Copernican principle as a symmetry hypothesis (H3), without which the Einstein equations usually cannot been solved, and assumes most often that the spatial sections are simply connected (H4). H2 and H3 imply that the description of the standard matter reduces to a mixture of a pressureless and a radiation perfect fluids. This model is compatible with all astronomical data, which roughly indicates that Ω_{Λ0} ≃ 0.73, Ω_{mat0} ≃ 0.27, and Ω_{K0} ≃ 0. Thus, cosmology roughly imposes that \(\vert {\Lambda _0}\vert \leq H_0^2\), that is \({\ell _\Lambda} \leq H_0^{ 1} \sim {10^{26}}{\rm{m}} \sim {\rm{1}}{{\rm{0}}^{41}}{\rm{Ge}}{{\rm{V}}^{{ 1}}}\).
Hence, the analysis of the cosmological dynamics of the universe and of its large scale structures requires the introduction of a new constant, the cosmological constant, associated with a recent acceleration of the cosmic expansion, that can be introduced by modifying the EinsteinHilbert action to
This constant can equivalently be introduced in the matter action. Note, however, that it is disproportionately small compared to the natural scale fixed by the Planck length
Classically, this value is no problem but it was pointed out that at the quantum level, the vacuum energy should scale as M^{4}, where M is some energy scale of highenergy physics. In such a case, there is a discrepancy of 60–120 order of magnitude between the cosmological conclusions and the theoretical expectation. This is the cosmological constant problem [528].
Two approaches to solve this problem have been considered. Either one accepts such a constant and such a finetuning and tries to explain it on anthropic ground. Or, in the same spirit as Dirac, one interprets it as an indication that our set of cosmological hypotheses have to be extended, by either abandoning the Copernican principle [508] or by modifying the local physical laws (either gravity or the matter sector). The way to introduce such new physical degrees of freedom were classified in [502]. In that latter approach, the tests of the constancy of the fundamental constants are central, since they can reveal the coupling of this new degree of freedom to the standard matter fields. Note, however, that the cosmological data still favor a pure cosmological constant.
Among all the proposals quintessence involves a scalar field rolling down a runaway potential hence acting as a fluid with an effective equation of state in the range −1 ≤ w ≤ 1 if the field is minimally coupled. It was proposed that the quintessence field is also the dilaton [229, 434, 499]. The same scalar field then drives the time variation of the cosmological constant and of the gravitational constant and it has the property to also have tracking solutions [499]. Such models do not solve the cosmological constant problem but only relieve the coincidence problem. One of the underlying motivation to replace the cosmological constant by a scalar field comes from superstring models in which any dimensionful parameter is expressed in terms of the string mass scale and the vacuum expectation value of a scalar field. However, the requirement of slow roll (mandatory to have a negative pressure) and the fact that the quintessence field dominates today imply, if the minimum of the potential is zero, that it is very light, roughly of order m ∼ 10^{−33} eV [81].
Such a light field can lead to observable violations of the universality of free fall if it is nonuniversally coupled to the matter fields. Carroll [81] considered the effect of the coupling of this very light quintessence field to ordinary matter via a coupling to the electromagnetic field as \(\phi {F^{\mu \nu}}{{\tilde F}_{\mu \nu}}\). Chiba and Kohri [96] also argued that an ultralight quintessence field induces a time variation of the coupling constant if it is coupled to ordinary matter and studied a coupling of the form ΦF^{μν}F_{ μν }, as, e.g., expected from KaluzaKlein theories (see below). This was generalized to quintessence models with a couplings of the form Z(ϕ)F^{μν}F_{ μν } [11, 112, 162, 315, 314, 347, 404, 531] and then to models of runaway dilaton [133, 132] inspired by string theory (see Section 5.4.1). The evolution of the scalar field drives both the acceleration of the universe at late time and the variation of the constants. As pointed in [96, 166, 532] such models are extremely constrained from the bound on the universality of freefall (see Section 6.3).
We have two means of investigation:

The field driving the time variation of the fundamental constants does not explain the acceleration of the universe (either it does not dominate the matter content today or its equation of state is not negative enough). In such a case, the variation of the constants is disconnected from the dark energy problem. Cosmology allows to determine the dynamics of this field during the whole history of the universe and thus to compare local constraints and cosmological constraints. An example is given by scalartensor theories (see Section 5.1.1) for which one can compare, e.g., primordial nucleosynthesis to local constraints [134]. However, in such a situation one should take into account the effect of the variation of the constants on the astrophysical observations since it can affect local physical processes and bias, e.g., the luminosity of supernovae and indirectly modify the distance luminosityredshift relation derived from these observations [33, 435].

The field driving the time variation of the fundamental constants is also responsible for the acceleration of the universe. It follows that the dynamics of the universe, the level of variation of the constants and the other deviations from general relativity are connected [348] so that the study of the variation of the constants can improve the reconstruction of the equation state of the dark energy [20, 162, 389, 404].
In conclusion, cosmology seems to require a new constant. It also provides a link between the microphysics and cosmology, as foreseen by Dirac. The tests of fundamental constants can discriminate between various explanations of the acceleration of the universe. When a model is specified, cosmology also allows to set stringer constraints since it relates observables that cannot be compared otherwise.
3 Experimental and Observational Constraints
This section focuses on the experimental and observational constraints on the nongravitational constants, that is assuming α_{G} remains constant. We use the convention that Δα = α − α_{0} for any constant α, so that Δα < 0 refers to a value smaller than today.
The various physical systems that have been considered can be classified in many ways. We can classify them according to their lookback time and more precisely their spacetime position relative to our actual position. This is summarized in Figure 1. Indeed higher redshift systems offer the possibility to set constraints on a larger time scale, but this is at the expense of usually involving other parameters such as the cosmological parameters. This is, in particular, the case of the cosmic microwave background or of primordial nucleosynthesis. The systems can also be classified in terms of the physics they involve. For instance, atomics clocks, quasar absorption spectra and the cosmic microwave background require only to use quantum electrodynamics to draw the primary constraints while the Oklo phenomenon, meteorites dating and nucleosynthesis require nuclear physics.
For any system, setting constraints goes through several steps. First we have some observable quantities from which we can draw constraints on primary constants, which may not be fundamental constants (e.g., the BBN parameters, the lifetime of βdecayers, …). These primary parameters must then be related to some fundamental constants such as masses and couplings. In a last step, the number of constants can be reduced by relating them in some unification schemes. Indeed each step requires a specific modelization and hypothesis and has its own limitations. This is summarized on Table 5.
3.1 Atomic clocks
3.1.1 Atomic spectra and constants
The laboratory constraints on the time variation of fundamental constants are obtained by comparing the longterm behavior of several oscillators and rely on frequency measurements. The atomic transitions have various dependencies in the fundamental constants. For instance, for the hydrogen atom, the gross, fine and hyperfinestructures are roughly given by
respectively, where the Rydberg constant set the dimension. g_{p} is the proton gyromagnetic factor and \(\bar \mu = {m_{\rm{e}}}/{m_{\rm{P}}}\). In the nonrelativistic approximation, the transitions of all atoms have similar dependencies but two effects have to be taken into account. First, the hyperfinestructures involve a gyromagnetic factor g_{ i } (related to the nuclear magnetic moment by μi = g_{ i }μ_{ N }, with μ_{ N } = eħ/2m_{ p }c), which are different for each nuclei. Second, relativistic corrections (including the Casimir contribution), which also depend on each atom (but also on the type of the transition) can be included through a multiplicative function F_{rel}(α_{EM}). It has a strong dependence on the atomic number Z, which can be illustrated on the case of alkali atoms, for which
The developments of highly accurate atomic clocks using different transitions in different atoms offer the possibility to test a variation of various combinations of the fundamental constants.
It follows that at the lowest level of description, we can interpret all atomic clocks results in terms of the gfactors of each atoms, g_{ i }, the electron to proton mass ration μ and the finestructure constant α_{EM}. We shall parameterize the hyperfine and finestructures frequencies as follows.
The hyperfine frequency in a given electronic state of an alkalilike atom, such as ^{133}Cs, ^{87}Rb, ^{199}Hg^{+}, is
where g_{ i } = μ_{ i }/μ_{N} is the nuclear g factor. A_{hfs} is a numerical factor depending on each particular atom and we have set F_{rel} = F_{hfs}(α). Similarly, the frequency of an electronic transition is wellapproximated by
where, as above, A_{elec} is a numerical factor depending on each particular atom and F_{elec} is the function accounting for relativistic effects, spinorbit couplings and manybody effects. Even though an electronic transition should also include a contribution from the hyperfine interaction, it is generally only a small fraction of the transition energy and thus should not carry any significant sensitivity to a variation of the fundamental constants.
The importance of the relativistic corrections was probably first emphasized in [423] and their computation through relativistic Nbody calculations was carried out for many transitions in [170, 174, 175, 198]. They can be characterized by introducing the sensitivity of the relativistic factors to a variation of α_{EM},
Table 6 summarizes the values of some of them, as computed in [175, 210]. Indeed a reliable knowledge of these coefficients at the 1% to 10% level is required to deduce limits to a possible variation of the constants. The interpretation of the spectra in this context relies, from a theoretical point of view, only on quantum electrodynamics (QED), a theory, which is well tested experimentally [280] so that we can safely obtain constraints on (α_{EM}, μ,g_{ i }), still keeping in mind that the computation of the sensitivity factors required numerical Nbody simulations.
From an experimental point of view, various combinations of clocks have been performed. It is important to analyze as many species as possible in order to ruleout speciesdependent systematic effects. Most experiments are based on a frequency comparison to caesium clocks. The hyperfine splitting frequency between the F = 3 and F = 4 levels of its ^{2}S_{1/2} ground state at 9.192 GHz has been used for the definition of the second since 1967. One limiting effect, that contributes mostly to the systematic uncertainty, is the frequency shift due to cold collisions between the atoms. On this particular point, clocks based on the hyperfine frequency of the ground state of the rubidium at 6.835 GHz, are more favorable.
3.1.2 Experimental constraints
We present the latest results that have been obtained and refer to Section III.B.2 of FCV [500] for earlier studies. They all rely on the developments of new atomic clocks, with the primarily goal to define better frequency standards.

Rubidium: The comparison of the hyperfine frequencies of the rubidium and caesium in their electronic ground state between 1998 and 2003, with an accuracy of order 10^{−15}, leads to the constraint [346]
$${{\rm{d}} \over {{\rm{d}}t}}\ln \left({{{{\nu _{{\rm{Rb}}}}} \over {{\nu _{{\rm{Cs}}}}}}} \right) = {(}0.2 \pm 7.0{)} \times {10^{ 16}}{\rm{y}}{{\rm{r}}^{1}}.$$(24)With one more year of experiment, the constraint dropped to [58]
$${{\rm{d}} \over {{\rm{d}}t}}\ln \left({{{{\nu _{{\rm{Rb}}}}} \over {{\nu _{{\rm{Cs}}}}}}} \right) = {(}  0.5 \pm 5.3{)} \times {10^{ 16}}{\rm{y}}{{\rm{r}}^{1}}.$$(25)From Equation (21), and using the values of the sensitivities κ_{ α }, we deduce that comparison constrains
$${{{\nu _{{\rm{Cs}}}}} \over {{\nu _{{\rm{Rb}}}}}} \propto {{{g_{{\rm{Cs}}}}} \over {{g_{{\rm{Rb}}}}}}\alpha _{{\rm{EM}}}^{0.49}.$$ 
Atomic hydrogen: The 1s–2s transition in atomic hydrogen was compared tp the ground state hyperfine splitting of caesium [196] in 1999 and 2003, setting an upper limit on the variation of ν_{H} of (−29±57) Hz within 44 months. This can be translated in a relative drift
$${{\rm{d}} \over {{\rm{d}}t}}\ln \left({{{{\nu _{\rm{H}}}} \over {{\nu _{{\rm{Cs}}}}}}} \right) = ( 32 \pm 63) \times {10^{ 16}}{\rm{y}}{{\rm{r}}^{1}}.$$(26)Since the relativistic correction for the atomic hydrogen transition nearly vanishes, we have ν_{H} ∼ R_{∞} so that
$${{{\nu _{{\rm{Cs}}}}} \over {{\nu _{\rm{H}}}}} \propto {g_{{\rm{Cs}}}}\bar \mu \alpha _{{\rm{EM}}}^{2.83}.$$ 
Mercury: The ^{199}Hg^{+} ^{2}S_{1/2} − ^{2}D_{5/2} optical transition has a high sensitivity to α_{EM} (see Table 6) so that it is well suited to test its variation. The frequency of the ^{199}Hg^{+} electric quadrupole transition at 282 nm was compared to the ground state hyperfine transition of caesium during a two year period, which lead to [57]
$${{\rm{d}} \over {{\rm{d}}t}}\ln \left({{{{\nu _{{\rm{Hg}}}}} \over {{\nu _{{\rm{Cs}}}}}}} \right) = {(}0.2 \pm 7{)} \times {10^{ 15}}{\rm{y}}{{\rm{r}}^{1}}.$$(27)This was improved by a comparison over a 6 year period [214] to get
$${{\rm{d}} \over {{\rm{d}}t}}\ln \left({{{{\nu _{{\rm{Hg}}}}} \over {{\nu _{{\rm{Cs}}}}}}} \right) = {(}3.7 \pm 3.9{)} \times {10^{ 16}}{\rm{y}}{{\rm{r}}^{1}}.$$(28)While ν_{Cs} is still given by Equation (21), ν_{Hg} is given by Equation (22). Using the sensitivities of Table 6, we conclude that this comparison test the stability of
$${{{\nu _{{\rm{Cs}}}}} \over {{\nu _{{\rm{Hg}}}}}} \propto {g_{{\rm{Cs}}}}\bar \mu \alpha _{{\rm{EM}}}^{6.05}.$$ 
Ytterbium: The ^{2}S_{1/2} − ^{2}D_{3/2} electric quadrupole transition at 688 THz of ^{171}Yb^{+} was compared to the ground state hyperfine transition of cesium. The constraint of [408] was updated, after comparison over a six year period, which lead to [407]
$${{\rm{d}} \over {{\rm{d}}t}}\ln \left({{{{\nu _{{\rm{Yb}}}}} \over {{\nu _{{\rm{Cs}}}}}}} \right) = {(}  0.78 \pm 1.40{)} \times {10^{ 15}}{\rm{y}}{{\rm{r}}^{1}}.$$(29)Proceeding as previously, this tests the stability of
$${{{\nu _{{\rm{Cs}}}}} \over {{\nu _{{\rm{Yb}}}}}} \propto {g_{{\rm{Cs}}}}\bar \mu \alpha _{{\rm{EM}}}^{1.93}.$$ 
Strontium: The comparison of the ^{1}S_{0} −^{3}P_{0} transition in neutral ^{87}Sr with a cesium clock was performed in three independent laboratories. The combination of these three experiments [61] leads to the constraint
$${{\rm{d}} \over {{\rm{d}}t}}\ln \left({{{{\nu _{{\rm{Sr}}}}} \over {{\nu _{{\rm{Cs}}}}}}} \right) = {(}  1.0 \pm 1.8{)} \times {10^{ 15}}{\rm{y}}{{\rm{r}}^{1}}.$$(30)Proceeding as previously, this tests the stability of
$${{{\nu _{{\rm{Cs}}}}} \over {{\nu _{{\rm{Sr}}}}}} \propto {g_{{\rm{Cs}}}}\bar \mu \alpha _{{\rm{EM}}}^{2.77}.$$ 
Atomic dyprosium: It was suggested in [175, 174] (see also [173] for a computation of the transition amplitudes of the low states of dyprosium) that the electric dipole (E1) transition between two nearly degenerate oppositeparity states in atomic dyprosium should be highly sensitive to the variation of α_{EM}. It was then demonstrated [384] that a constraint of the order of 10^{−18}/yr can be reached. The frequencies of nearly of two isotopes of dyprosium were monitored over a 8 months period [100] showing that the frequency variation of the 3.1MHz transition in ^{163}Dy and the 235MHz transition in ^{162}Dy are 9.0 ± 6.7 Hz/yr and −0.6 ± 6.5 Hz/yr, respectively. These provide the constraint
$${{{\alpha _{{\rm{\dot EM}}}}} \over {{\alpha _{{\rm{EM}}}}}} = {(}  2.7 \pm 2.6{)} \times {10^{ 15}}{\rm{y}}{{\rm{r}}^{1}},$$(31)at 1σ level, without any assumptions on the constancy of other fundamental constants.

Aluminium and mercury singleion optical clocks: The comparison of the ^{1}S_{0} − ^{3}P_{0} transition in ^{27}Al^{+} and ^{2}S_{1/2} − ^{2}D_{5/2} in ^{199}Hg^{+} over a year allowed to set the constraint [440]
$${{\rm{d}} \over {{\rm{d}}t}}\ln \left({{{{\nu _{{\rm{Al}}}}} \over {{\nu _{{\rm{Hg}}}}}}} \right) = {(}  5.3 \pm 7.9{)} \times {10^{ 17}}{\rm{y}}{{\rm{r}}^{1}}.$$(32)Proceeding as previously, this tests the stability of
$${{{\nu _{{\rm{Hg}}}}} \over {{\nu _{{\rm{Al}}}}}} \propto \alpha _{{\rm{EM}}}^{ 3.208},$$which directly set the constraint
$${{{\alpha _{{\rm{\dot EM}}}}} \over {{\alpha _{{\rm{EM}}}}}} = {(}  1.6 \pm 2.3{)} \times {10^{ 17}}{\rm{y}}{{\rm{r}}^{1}},$$(33)since it depends only on α_{EM}.
While the constraint (33) was obtained directly from the clock comparison, the other studies need to be combined to disentangle the contributions of the various constants. As an example, we first use the bound (33) on α_{EM}, we can then extract the two following bounds
on a time scale of a year. We cannot lift the degeneracies further with this clock comparison, since that would require a constraint on the time variation of μ. All these constraints are summarized in Table 7 and Figure 2.
A solution is to consider diatomic molecules since, as first pointed out by Thomson [488], molecular lines can provide a test of the variation of μ. The energy difference between two adjacent rotational levels in a diatomic molecule is inversely proportional to Mr^{−2}, r being the bond length and M the reduced mass, and the vibrational transition of the same molecule has, in first approximation, a \(\sqrt M\) dependence. For molecular hydrogen M = m_{p}/2 so that the comparison of an observed vibrorotational spectrum with a laboratory spectrum gives an information on the variation of m_{p} and m_{n}. Comparing pure rotational transitions with electronic transitions gives a measurement of μ. It follows that the frequency of vibrorotation transitions is, in the BornOppenheimer approximation, of the form
where c_{elec}, c_{vib} and c_{rot} are some numerical coefficients.
The comparison of the vibrorotational transition in the molecule SF6 was compared to a caesium clock over a twoyear period, leading to the constraint [464]
where the second error takes into account uncontrolled systematics. Now, using again Table 6, we deduce that
It can be combined with the constraint (26), which enjoys the same dependence to cesium to infer that
Combined with Equation (34), we can obtain independent constraints on the time variation of g_{Cs}, g_{Rb} and μ.
3.1.3 Physical interpretation
The theoretical description must be pushed further if ones wants to extract constraints on constant more fundamental than the nuclear magnetic moments. This requires one to use quantum chromodynamics. In particular, it was argued than within this theoretical framework, one can relate the nucleon gfactors in terms of the quark mass and the QCD scale [198]. Under the assumption of a unification of the three nongravitational interaction (see Section 6.3), the dependence of the magnetic moments on the quark masses was investigated in [210]. The magnetic moments, or equivalently the gfactors, are first related to the ones of the proton and a neutron to derive a relation of the form
[198, 210] argued that these gfactors mainly depend on the light quark mass m_{q} = ½(m_{u} + m_{d}) and m_{s}, respectively for the up, down and strange quarks, that is in terms of X_{q} = m_{q}/Λ_{QCD} and X_{s} = m_{s}/Λ_{QCD}. Using a chiral perturbation theory, it was deduced, assuming Λ_{QCD} constant, that
so that for a hyperfine transition
Both coefficients can be computed, leading to the possibility to draw constraints on the independent time variation of X_{q}, X_{s} and X_{e}.
To simplify, we may assume that X_{q} ∝ X_{s}, which is motivated by the Higgs mechanism of mass generation, so that the dependence in the quark masses reduces to κ = ½ (κ_{q} + κ_{s}). For instance, we have
for hyperfine transition, one further needs to take into account the dependence in μ that can be described [204] by
so that the hyperfine frequencies behaves as
in the approximation X_{q} ∝ X_{s} and where X_{e} ≡ m_{e}/Λ_{QCD}. This allows one to get independent constraints on the independent time variation of X_{e}, X_{q} and α_{EM}. Indeed, these constraints are modeldependent and, as an example, Table III of [210] compares the values of the sensitivity κ when different nuclear effects are considered. For instance, it can vary from 0.127, 0.044 to 0.009 for the cesium according to whether one includes only valence nucleon, nonvalence nonnucleon or effect of the quark mass on the spinspin interaction. Thus, it is a very promising framework, which still needs to be developed and the accuracy of which must be quantified in detail.
3.1.4 Future evolutions
Further progresses in a near future are expected mainly through three types of developments:

New systems: Many new systems with enhanced sensitivity [171, 200, 202, 205, 421] to some fundamental constants have recently been proposed. Other atomic systems are considered, such as, e.g., the hyperfine transitions in the electronic ground state of cold, trapped, hydrogenlike highly charged ions [44, 199, 448], or ultracold atom and molecule systems near the Feshbach resonances [98], where the scattering length is extremely sensitive to μ.
Concerning diatomic molecules, it was shown that this sensitivity can be enhanced in transitions between narrow close levels of different nature [13, 15]. In such transitions, the fine structure mainly depends on the finestructure constant, ν_{fs} ∼ (Zα_{EM})^{2}R_{∞}c, while the vibrational levels depend mainly on the electrontoproton mass ratio and the reduced mass of the molecule, \({\nu _{\rm{V}}} \sim M_r^{ 1/2}{{\bar \mu}^{1/2}}{R_\infty}c\). There could be a cancellation between the two frequencies when ν = ν_{hf} − nν_{v} ∼ 0 with n a positive integer. It follows that δν/ν will be proportional to K = ν_{hf}/ν so that the sensitivity to α_{EM} and μ can be enhanced for these particular transitions. A similar effect between transistions with hyperfinestructures, for which the sensitivity to α_{EM} can reach 600 for instance for ^{139}La^{32}S or silicon monobrid [42] that allows one to constrain \({\alpha _{{\rm{EM}}}}{{\bar \mu}^{ 1/4}}\).
Nuclear transitions, such as an optical clock based on a very narrow ultraviolet nuclear transition between the ground and first excited states in the ^{229}Th, are also under consideration. Using a Walecka model for the nuclear potential, it was concluded [199] that the sensitivity of the transition to the finestructure constant and quark mass was typically
$${{\delta \omega} \over \omega} \sim {10^5}\left({4{{\delta {\alpha _{{\rm{EM}}}}} \over {{\alpha _{{\rm{EM}}}}}} + {{\delta {X_{\rm{q}}}} \over {{X_{\rm{q}}}}}  10{{\delta {X_{\rm{s}}}} \over {{X_{\rm{s}}}}}} \right),$$which roughly provides a five order of magnitude amplification, which can lead to a constraint at the level of 10^{−24}/yr on the time variation of X_{q}. Such a method is promising and would offer different sensitivities to systematic effects compared to atomic clocks. However, this sensitivity is not clearly established since different nuclear calculations do not agree [46, 247].

Atomic clocks in space (ACES): An improvement of at least an order of magnitude on current constraints can be achieved in space with the PHARAO/ACES project [433, 444] of the European Spatial Agency. PHARAO (Projet d’Horloge Atomique par Refroidissement d’Atomes en Orbite) combines laser cooling techniques and a microgravity environment in a satellite orbit. It aims at achieving time and frequency transfer with stability better than 10^{−16}.
The SAGAS (Search for anomalous gravitation using atomic sensor) project aims at flying highly sensitive optical atomic clocks and cold atom accelerometers on a solar system trajectory on a time scale of 10 years. It could test the constancy of the finestructure constant along the satellite worldline, which, in particular, can set a constraint on its spatial variation of the order of 10^{−9} [433, 547].

Theoretical developments: We remind one more time that the interpretation of the experiments requires a good theoretical understanding of the systems but also that the constraints we draw on the fundamental constants such as the quark masses are conditional to our theoretical modeling, hence on hypothesis on a unification scheme as well as nuclear physics. The accuracy and the robustness of these steps need to be determined, e.g., by taking the dependence in the nuclear radius [154].
3.2 The Oklo phenomenon
3.2.1 A natural nuclear reactor
Oklo is the name of a town in the Gabon republic (West Africa) where an openpit uranium mine is situated. About 1.8 × 10^{9} yr ago (corresponding to a redshift of ∼ 0.14 with the cosmological concordance model), in one of the rich vein of uranium ore, a natural nuclear reactor went critical, consumed a portion of its fuel and then shut a few million years later (see, e.g., [509] for more details). This phenomenon was discovered by the French Commissariat à l’Énergie Atomique in 1972 while monitoring for uranium ores [382]. Sixteen natural uranium reactors have been identified. Well studied reactors include the zone RZ2 (about 60 boreholes, 1800 kg of ^{235}U fissioned during 8.5 × 10^{5} yr) and zone RZ10 (about 13 boreholes, 650 kg of ^{235}U fissioned during 1.6 × 10^{5} yr).
The existence of such a natural reactor was predicted by P. Kuroda [303] who showed that under favorable conditions, a spontaneous chain reaction could take place in rich uranium deposits. Indeed, two billion years ago, uranium was naturally enriched (due to the difference of decay rate between ^{235}U and ^{238}U) and ^{235}U represented about 3.68% of the total uranium (compared with 0.72% today and to the 3–5% enrichment used in most commercial reactors). Besides, in Oklo the conditions were favorable: (1) the concentration of neutron absorbers, which prevent the neutrons from being available for the chain fission, was low; (2) water played the role of moderator (the zones RZ2 and RZ10 operated at a depth of several thousand meters, so that the water pressure and temperature was close to the pressurized water reactors of 20 Mpa and 300°C) and slowed down fast neutrons so that they can interact with other ^{235}U and (3) the reactor was large enough so that the neutrons did not escape faster than they were produced. It is estimated that the Oklo reactor powered 10 to 50 kW. This explanation is backed up by the substantial depletion of ^{235}U as well as a correlated peculiar distribution of some rareearth isotopes. These rareearth isotopes are abundantly produced during the fission of uranium and, in particular, the strong neutron absorbers like \(_{62}^{149}{\rm{Sm,}}\,_{63}^{151}{\rm{Eu,}}\,_{64}^{155}{\rm{Gd}}\) and \(_{64}^{155}{\rm{Gd}}\) are found in very small quantities in the reactor.
From the isotopic abundances of the yields, one can extract information about the nuclear reactions at the time the reactor was operational and reconstruct the reaction rates at that time. One of the key quantity measured is the ratio \(_{62}^{149}{\rm{Sm/}}_{62}^{147}{\rm{Sm}}\) of two light isotopes of samarium, which are not fission products. This ratio of order of 0.9 in normal samarium, is about 0.02 in Oklo ores. This low value is interpreted [465] by the depletion of \(_{62}^{149}{\rm{Sm}}\) by thermal neutrons produced by the fission process and to which it was exposed while the reactor was active. The capture cross section of thermal neutron by \(_{62}^{149}{\rm{Sm}}\)
is dominated by a capture resonance of a neutron of energy of about 0.1 eV (E_{ r } = 97.3 meV today). The existence of this resonance is a consequence of an almost cancellation between the electromagnetic repulsive force and the strong interaction.
Shlyakhter [465] pointed out that this phenomenon can be used to set a constraint on the time variation of fundamental constants. His argument can be summarized as follows.

First, the cross section σ(_{n, γ}) strongly depends on the energy of a resonance at E_{ r } = 97.3 meV.

Geochemical data allow to determine the isotopic composition of various element, such as uranium, neodynium, gadolinium and samarium. Gadolinium and neodium allow to determine the fluence (integrated flux over time) of the neutron while both gadolinium and samarium are strong neutron absorbers.

From these data, one deduces the value of the averaged value of the cross section on the neutron flux, \({{\hat \sigma}_{149}}\). This value depends on hypothesis on the geometry of the reactor zone.

The range of allowed value of \({{\hat \sigma}_{149}}\) was translated into a constraint on E_{ r }. This step involves an assumption on the form and temperature of the neutron spectrum.

E_{ r } was related to some fundamental constant, which involve a model of the nucleus.
In conclusion, we have different steps, which all involve assumptions:

Isotopic compositions and geophysical parameters are measured in a given set of borehold in each zone. A choice has to be made on the sample to use, in order, e.g., to ensure that they are not contaminated.

With hypothesis on the geometry of the reactor, on the spectrum and temperature of the neutron flux, one can deduce the effective value of the cross sections of neutron absorbers (such as samarium and gadolinium). This requires one to solve a network of nuclear reactions describing the fission.

One can then infer the value of the resonance energy E_{ r }, which again depends on the assumptions on the neutron spectrum.

E_{ r } needs to be related to fundamental constant, which involves a model of the nucleus and high energy physics hypothesis.
We shall now detail the assumptions used in the various analyses that have been performed since the pioneering work of [465].
3.2.2 Constraining the shift of the resonance energy
Cross sections. The cross section of the neutron capture (38) strongly depends on the energy of a resonance at E_{ r } = 97.3 meV and is well described by the BreitWigner formula
where g_{0} = (2J + 1)(2s + 1)^{−1}(2I + 1)^{−1} is a statistical factor, which depends on the spin of the incident neutron s = 1/2, of the target nucleus I, and of the compound nucleus J. For the reaction (38), we have g_{0} = 9/16. The total width Γ ≡ Γ_{n} + Γ_{ γ } is the sum of the neutron partial width Γ_{n} = 0.533 meV (at E_{ r } = 97.3 meV and it scales as \(\sqrt E\) in the center of mass) and of the radiative partial width Γ_{ γ } = 60.5 meV. \(_{64}^{155}{\rm{Gd}}\) has a resonance at E_{ r } = 26.8 meV with Γ_{n} = 0.104 meV, Γ_{ γ } = 108 meV and g = 5/8 while \(_{64}^{157}{\rm{Gd}}\) has a resonance at E_{ r } = 31.4 meV with Γ_{n} = 0.470 meV, Γ_{ γ } = 106 meV and g = 5/8.
As explained in the previous Section 3.2.1, this cross section cannot be measured from the Oklo data, which allow only to measure its value averaged on the neutron flux n(v, T), T being the temperature of the moderator. It is conventionally defined as
where the velocity v_{0} = 2200 m · s^{−1} corresponds to an energy E_{0} = 25.3 meV and \(\upsilon = \sqrt {2E/{m_n}}\), instead of
When the cross section behaves as σ = σ_{0}v_{0}/v, which is the case for nuclei known as “1/vabsorbers”, \(\hat \sigma = {\sigma _0}\) and does not depend on the temperature, whatever the distribution n(v). In a similar way, the effective neutron flux defined
which differs from the true flux
However, since \(\bar \sigma \phi = \hat \sigma \hat \phi\), the reaction rates are not affected by these definitions.
Extracting the effective cross section from the data. To “measure” the value of \({\hat \sigma}\) from the Oklo data, we need to solve the nuclear reaction network that controls the isotopic composition during the fission.
The samples of the Oklo reactors were exposed [382] to an integrated effective fluence \(\int {\hat \phi {\rm{d}}t}\) of about 10^{21} neutron · cm−^{2} = 1 kb−^{1}. It implies that any process with a cross section smaller than 1 kb can safely be neglected in the computation of the abundances. This includes neutron capture by \(_{62}^{144}{\rm{Sm}}\) and \(_{62}^{148}{\rm{Sm}}\), as well as by \(_{64}^{155}{\rm{Gd}}\) and \(_{64}^{157}{\rm{Gd}}\). On the other hand, the fission of \(_{92}^{235}{\rm{U}}\), the capture of neutron by \(_{60}^{143}{\rm{Nd}}\) and by \(_{62}^{149}{\rm{Sm}}\) with respective cross sections σ_{5} ≃ 0.6 kb, σ_{143} ∼ 0.3 kb and σ_{149} ≥ 70 kb are the dominant processes. It follows that the equations of evolution for the number densities N_{147}, N_{148}, N_{149} and N_{235} of \(_{62}^{147}{\rm{Sm,}}\,_{62}^{148}{\rm{Sm,}}\,_{62}^{149}{\rm{Sm}}\) and \(_{92}^{235}{\rm{U}}\) takes the form
where y_{ i } denotes the yield of the corresponding element in the fission of \(_{92}^{235}{\rm{U}}\) and \({{\hat \sigma}_5}\) is the fission cross section. This system can be integrated under the assumption that the cross sections and the neutron flux are constant and the result compared with the natural abundances of the samarium to extract the value of \({{\hat \sigma}_{149}}\) at the time of the reaction. Here, the system has been closed by introducing a modified absorption cross section [123] \(\sigma _5^{\ast}\) to take into account both the fission, capture but also the formation from the αdecay of \(_{94}^{239}{\rm{Pu}}\). One can instead extend the system by considering \(_{94}^{239}{\rm{Pu}}\), and \(_{92}^{235}{\rm{U}}\) (see [234]). While most studies focus on the samarium, [220] also includes the gadolinium even though it is not clear whether it can reliably be measured [123]. They give similar results.
By comparing the solution of this system with the measured isotopic composition, one can deduce the effective cross section. At this step, the different analyses [465, 415, 123, 220, 305, 416, 234] differ from the choice of the data. The measured values of \({{\hat \sigma}_{149}}\) can be found in these articles. They are given for a given zone (RZ2, RZ10 mainly) with a number that correspond to the number of the borehole and the depth (e.g., in Table 2 of [123], SC391383 means that we are dealing with the borehole number 39 at a depth of 13.83 m). Recently, another approach [416, 234] was proposed in order to take into account of the geometry and details of the reactor. It relies on a fullscale MonteCarlo simulation and a computer model of the reactor zone RZ2 [416] and both RZ2 and RZ10 [234] and allows to take into account the spatial distribution of the neutron flux.
Determination of E_{ r }. To convert the constraint on the effective cross section, one needs to specify the neutron spectrum. In the earlier studies [465, 415], a Maxwell distribution,
was assumed for the neutron with a temperature of 20°C, which is probably too small. Then v_{0} is the mean velocity at a temperature \({T_0} = {m_{\rm{n}}}\upsilon _0^2/2{k_{\rm{B}}} = 20.4^\circ {\rm{C}}\). [123, 220] also assume a Maxwell distribution but let the moderator temperature vary so that they deduce an effective cross section \(\hat \sigma ({R_r},T)\). They respectively restricted the temperature range to 180°C < T < 700°C and 200°C < T < 400°C, based on geochemical analysis. The advantage of the Maxwell distribution assumption is that it avoids to rely on a particular model of the Oklo reactor since the spectrum is determined solely by the temperature.
It was then noted [305, 416] that above an energy of several eV, the neutron spectrum shifted to a 1/E tail because of the absorption of neutrons in uranium resonances. Thus, the distribution was adjusted to include an epithermal distribution
with \({n_{{\rm{epi}}}} = \upsilon _c^2/{\upsilon ^2}\) for v > v_{ c } and vanishing otherwise. v_{ c } is a cutoff velocity that also needs to be specified. The effective cross section can then be parameterized [234] as
where g(T) is a measure of the departure of σ from the 1/v behavior, I is related to the resonance integral of the cross section and r_{0} is the Oklo reactor spectral index. It characterizes the contribution of the epithermal neutrons to the cross section. Among the unknown parameters, the most uncertain is probably the amount of water present at the time of the reaction. [234] chooses to adjust it so that r_{0} matches the experimental values.
These hypothesis on the neutron spectrum and on the temperature, as well as the constraint on the shift of the resonance energy, are summarized in Table 8. Many analyses [220, 416, 234] find two branches for ΔE_{ r } = E_{ r } − E_{r0}, with one (the left branch) indicating a variation of E_{ r }. Note that these two branches disappear when the temperature is higher since \(\hat \sigma ({E_r},T)\) is more peaked when T decreases but remain in any analysis at low temperature. This shows the importance of a good determination of the temperature. Note that the analysis of [416] indicates that the curves \(\hat \sigma (T,{E_r})\) lie appreciably lower than for a Maxwell distribution and that [220] argues that the left branch is hardly compatible with the gadolinium data.
3.2.3 From the resonance energy to fundamental constants
The energy of the resonance depends a priori on many constants since the existence of such resonance is mainly the consequence of an almost cancellation between the electromagnetic repulsive force and the strong interaction. But, since no full analytical understanding of the energy levels of heavy nuclei is available, the role of each constant is difficult to disentangle.
In his first analysis, Shlyakhter [465] stated that for the neutron, the nucleus appears as a potential well with a depth V_{0} ≃ 50 MeV. He attributed the change of the resonance energy to a modification of the strong interaction coupling constant and concluded that Δg_{S}/g_{S} ∼ ΔE_{ r }/V_{0}. Then, arguing that the Coulomb force increases the average internuclear distance by about 2.5% for A ∼ 150, he concluded that Δα_{EM}/α_{EM} ∼ 20Δg_{S}/g_{S}, leading to ∣α_{ĖM}/α_{EM}∣ < 10^{−17} yr^{−1}, which can be translated to
The following analysis focused on the finestructure constant and ignored the strong interaction. Damour and Dyson [123] related the variation of E_{ r } to the finestructure constant by taking into account that the radiative capture of the neutron by \(_{62}^{149}{\rm{Sm}}\) corresponds to the existence of an excited quantum state of \(_{62}^{150}{\rm{Sm}}\) (so that \({E_r} = E_{150}^{\ast}  {E_{149}}  {m_n}\)) and by assuming that the nuclear energy is independent of α_{EM}. It follows that the variation of α_{EM} can be related to the difference of the Coulomb binding energy of these two states. The computation of this latter quantity is difficult and must be related to the meansquare radii of the protons in the isotopes of samarium. In particular this analysis [123] showed that the BetheWeizäcker formula overestimates by about a factor the 2 the α_{EM}sensitivity to the resonance energy. It follows from this analysis that
which, once combined with the constraint on ΔE_{ r }, implies
at 2σ level, corresponding to the range −6.7 × 10^{−17} yr^{−1} < α_{ĖM}/α_{EM} < 5.0 × 10^{−17} yr^{−1} if α_{ĖM} is assumed constant. This tight constraint arises from the large amplification between the resonance energy (∼ 0.1 eV) and the sensitivity (∼ 1 MeV). The reanalysis of these data and also including the data of [220] with gadolinium, found the favored result α_{ĖM}/α_{EM} = (−0.2 ± 0.8) × 10^{−17} yr^{−1}, which corresponds to
and the other branch (indicating a variation; see Table 8) leads to α_{ĖM}/α_{EM} = (4.9 ± 0.4) × 10^{−17} yr^{−1}. This nonzero result cannot be eliminated.
The more recent analysis, based on a modification of the neutron spectrum lead respectively to [416]
and [234]
at a 95% confidence level, both using the formalism of [123].
Olive et al. [399], inspired by grand unification model, reconsider the analysis of [123] by letting all gauge and Yukawa couplings vary. Working within the Fermi gas model, the overriding scale dependence of the terms, which determine the binding energy of the heavy nuclei was derived. Parameterizing the mass of the hadrons as m_{ i } ∝ Λ_{QCD}(1 + κ_{ i }m_{ q }/Λ_{QCD} + …), they estimate that the nuclear Hamiltonian was proportional to m_{q}/Λ_{QCD} at lowest order, which allows to estimate that the energy of the resonance is related to the quark mass by
Using the constraint (48), they first deduced that
then, assuming that \({\alpha _{{\rm{EM}}}} \propto m_{\rm{q}}^{50}\) on the basis of grand unification (see Section 6.3 for details), they concluded that
Similarly, [207, 467, 212] related the variation of the resonance energy to the quark mass. Their first estimate [207] assumes that it is related to the pion mass, m_{ π }, and that the main variation arises from the variation of the radius R ∼ 5fm + 1/m_{ π } of the nuclear potential well of depth V_{0}, so that
assuming that R ≃ 1.2A^{1/3}r_{0}, r_{0} being the internucleon distance.
Then, in [467], the nuclear potential was described by a Walecka model, which keeps only the σ (scalar) and ω (vector) exchanges in the effective nuclear force. Their masses was related to the mass m_{s} of the strange quark to get \({m_\sigma} \propto m_{\rm{s}}^{0.54}\) and \({m_\omega} \propto m_{\rm{s}}^{0.15}\). It follows that the variation of the potential well can be related to the variation of m_{ σ } and m_{ ω } and thus on m_{q} by \(V \propto m_{\rm{q}}^{ 3.5}\). The constraint (48) then implies that
By extrapolating from light nuclei where the Nbody calculations can be performed more accurately, it was concluded [208] that the resonance energy scales as ΔE_{ r } ∼ 10(ΔlnX_{q} − 0.1Δln α_{EM}), so that the the constraints from [416] would imply that \(\Delta \ln ({X_{\rm{q}}}/\alpha _{{\rm{EM}}}^{0.1}) < 7 \times {10^{ 9}}\).
In conclusion, these last results illustrate that a detailed theoretical analysis and quantitative estimates of the nuclear physics (and QCD) aspects of the resonance shift still remain to be carried out. In particular, the interface between the perturbative QCD description and the description in term of hadron is not fully understand: we do not know the exact dependence of hadronic masses and coupling constant on Λ_{QCD} and quark masses. The second problem concerns modeling nuclear forces in terms of the hadronic parameters.
At present, the Oklo data, while being stringent and consistent with no variation, have to be considered carefully. While a better understanding of nuclear physics is necessary to understand the full constantdependence, the data themselves require more insight, particularly to understand the existence of the leftbranch.
3.3 Meteorite dating
Longlived α or βdecay isotopes may be sensitive probes of the variation of fundamental constants on geological times ranging typically to the age of the solar system, t ∼ (4–5) Gyr, corresponding to a mean redshift of z ∼ 0.43. Interestingly, it can be compared with the shallow universe quasar constraints. This method was initially pointed out by Wilkinson [539] and then revived by Dyson [168]. The main idea is to extract the α_{EM}dependence of the decay rate and to use geological samples to bound its time variation.
The sensitivity of the decay rate of a nucleus to a change of the finestructure constant is defined, in a similar way as for atomic clocks [Equation (23)], as
λ is a function of the decay energy Q. When Q is small, mainly due to an accidental cancellation between different contributions to the nuclear binding energy, the sensitivity s_{ a } maybe strongly enhanced. A small variation of the fundamental constants can either stabilize or destabilize certain isotopes so that one can extract bounds on the time variation of their lifetime by comparing laboratory data to geophysical and solar system probes.
Assume some meteorites containing an isotope X that decays into Y are formed at a time t_{*}. It follows that
if one assumes the decay rate constant. If it is varying then these relations have to be replaced by
so that the value of N_{ X } today can be interpreted with Equation (56) but with an effective decay rate of
From a sample of meteorites, we can measure {N_{ X }(t_{0}), N_{ Y }(t_{0})} for each meteorite. These two quantities are related by
so that the data should lie on a line (since N_{X*} is a priori different for each meteorite), called an “isochron”, the slope of which determines \(\bar \lambda ({t_0}  {t_\ast})\). It follows that meteorites data only provides an average measure of the decay rate, which complicates the interpretation of the constraints (see [219, 218] for explicit examples). To derive a bound on the variation of the constant we also need a good estimation of t_{0} − t_{*}, which can be obtained from the same analysis for an isotope with a small sensitivity s_{α}, as well as an accurate laboratory measurement of the decay rate.
3.3.1 Long lived αdecays
The αdecay rate, λ, of a nucleus \(_Z^A{\rm{X}}\) of charge Z and atomic number A,
is governed by the penetration of the Coulomb barrier that can be described by the Gamow theory. It is well approximated by
where \(\upsilon/c = \sqrt {Q/2{m_{\rm{P}}}{c^2}}\) is the escape velocity of the α particle. Λ is a function that depends slowly on α_{EM} and Q. It follows that the sensitivity to the finestructure constant is
The decay energy is related to the nuclear binding energies B(A, Z) of the different nuclei by
with B_{ α } = B(4, 2). Physically, an increase of α_{EM} induces an increase in the height of the Coulomb barrier at the nuclear surface while the depth of the nuclear potential well below the top remains the same. It follows that αparticle escapes with a greater energy but at the same energy below the top of the barrier. Since the barrier becomes thiner at a given energy below its top, the penetrability increases. This computation indeed neglects the effect of a variation of α_{EM} on the nucleus that can be estimated to be dilated by about 1% if α_{EM} increases by 1%.
As a first insight, when focusing on the finestructure constant, one can estimate s_{ α } by varying only the Coulomb term of the binding energy. Its order of magnitude can be estimated from the BetheWeizäcker formula
Table 9 summarizes the most sensitive isotopes, with the sensitivities derived from a semiempirical analysis for a spherical nucleus [399]. They are in good agreement with the ones derived from Equation (61) (e.g., for ^{238}U, one would obtain s_{ α } = 540 instead of s_{ α } = 548).
The sensitivities of all the nuclei of Table 9 are similar, so that the best constraint on the time variation of the finestructure constant will be given by the nuclei with the smaller Δλ/λ.
Wilkinson [539] considered the most favorable case, that is the decay of \(_{92}^{238}{\rm{U}}\) for which s_{ α } = 548 (see Table 9). By comparing the geological dating of the Earth by different methods, he concluded that the decay constant λ of ^{238}U, ^{235}U and ^{232}Th have not changed by more than a factor 3 or 4 during the last 3–4 × 10^{9} years from which it follows
This constraint was revised by Dyson [168] who claimed that the decay rate has not changed by more than 20%, during the past 2 × 10^{9} years, which implies
Uranium has a short lifetime so that it cannot be used to set constraints on longer time scales. It is also used to calibrate the age of the meteorites. Therefore, it was suggested [399] to consider ^{147}Sm. Assuming that Δλ_{147}/λ_{147} is smaller than the fractional uncertainty of 7.5 × 10^{−3} of its halflife
As for the Oklo phenomena, the effect of other constants has not been investigated in depth. It is clear that at lowest order both Q and m_{p} scales as Λ_{QCD} so that one needs to go beyond such a simple description to determine the dependence in the quark masses. Taking into account the contribution of the quark masses, in the same way as for Equation (53), it was argued that \(\lambda \propto X_{\rm{q}}^{300  2000}\), which leads to ∣ΔlnX_{q}∣ ≲ 10^{−5}. In a grand unify framework, that could lead to a constraint of the order of ∣Δln α_{EM}∣ ≲ 2 × 10−^{7}.
3.3.2 Long lived βdecays
Dicke [150] stressed that the comparison of the rubidiumstrontium and potassiumargon dating methods to uranium and thorium rates constrains the variation of α_{EM}.
As long as longlived βdecay isotopes are concerned for which the decay energy Q is small, we can use a nonrelativistic approximation for the decay rate
respectively for β^{−}decay and electron capture. Λ_{±} are functions that depend smoothly on α_{EM} and which can thus be considered constant, p_{+} = ℓ + 3 and p_{−} = 2ℓ + 2 are the degrees of forbiddenness of the transition. For highZ nuclei with small decay energy Q, the exponent p becomes \(p = 2 + \sqrt {1  \alpha _{{\rm{EM}}}^2{Z^2}}\) and is independent of ℓ. It follows that the sensitivity to a variation of the finestructure constant is
The second factor can be estimated exactly as for αdecay. We note that Λ_{±} depends on the Fermi constant and on the mass of the electron as \({\Lambda _ \pm} \propto G_F^2m_{\rm{e}}^5{Q^p}\). This dependence is the same for any βdecay so that it will disappear in the comparison of two dating methods relying on two different βdecay isotopes, in which case only the dependence on the other constants appear again through the nuclear binding energy. Note, however, that comparing a α to a βdecay may lead to interesting constraints.
We refer to Section III.A.4 of FVC [500] for earlier constraints derived from rubidiumstrontium, potassiumargon and we focus on the rheniumosmium case,
first considered by Peebles and Dicke [406]. They noted that the very small value of its decay energy Q = 2.6 keV makes it a very sensitive probe of the variation of α_{EM}. In that case p ≃ 2.8 so that s_{ α } ≃ −18000; a change of 10^{−2}% of α_{EM} will induce a change in the decay energy of order of the keV, that is of the order of the decay energy itself. Peebles and Dicke [406] did not have reliable laboratory determination of the decay rate to put any constraint. Dyson [167] compared the isotopic analysis of molybdenite ores (λ_{187} = (1.6 ± 0.2) × 10^{−11} yr^{−1}), the isotopic analysis of 14 iron meteorites (λ_{187} = (1.4 ± 0.3) × 10^{−11} yr^{−1}) and laboratory measurements of the decay rate (λ_{187} = (1.1 ± 0.1) × 10^{−11} yr^{−1}). Assuming that the variation of the decay energy comes entirely from the variation of α_{EM}, he concluded that ∣Δα_{EM}/α_{EM}∣ < 9 × 10^{−4} during the past 3 × 10^{9} years. Note that the discrepancy between meteorite and lab data could have been interpreted as a timevariation of α_{EM}, but the laboratory measurement were complicated by many technical issues so that Dyson only considered a conservative upper limit.
The modelization and the computation of s_{ α } were improved in [399], following the same lines as for αdecay.
if one considers only the variation of the Coulomb energy in Q. A similar analysis [147] leads to \(\Delta \ln {\lambda _{187}} \simeq {10^4}\Delta \ln \left[ {\alpha _{{\rm{EM}}}^{ 2.2}X_{\rm{q}}^{ 1.9}{{({X_{\rm{d}}}  {X_{\rm{u}}})}^{0.23}}X_{\rm{e}}^{ 0.058}} \right]\).
The dramatic improvement in the meteoric analysis of the Re/Os ratio [468] led to a recent reanalysis of the constraints on the fundamental constants. The slope of the isochron was determined with a precision of 0.5%. However, the Re/Os ratio is inferred from iron meteorites the age of which is not determined directly. Models of formation of the solar system tend to show that iron meteorites and angrite meteorites form within the same 5 million years. The age of the latter can be estimated from the ^{207}Pb^{208}Pb method, which gives 4.558 Gyr [337] so that λ_{187} = (1.666 ± 0.009) × 10^{−11} yr^{−1}. Thus, we could adopt [399]
However, the meteoritic ages are determined mainly by ^{238}U dating so that effectively we have a constraint on the variation of λ_{187}/λ_{238}. Fortunately, since the sensitivity of ^{238}U is much smaller than the one of the rhenium, it is safe to neglect its effect. Using the recent laboratory measurement [333] (λ_{187} = (−1.639 ± 0.025) × 10^{−11} yr^{−1}), the variation of the decay rate is not given by the dispersion of the meteoritic measurement, but by comparing to its value today, so that
The analysis of Ref. [400], following the assumption of [399], deduced that
at a 95% confidence level, on a typical time scale of 5 Gyr (or equivalently a redshift of order z ∼ 0.2).
As pointed out in [219, 218], these constraints really represents a bound on the average decay rate \({\bar \lambda}\) since the formation of the meteorites. This implies in particular that the redshift at which one should consider this constraint depends on the specific functional dependence λ(t). It was shown that welldesigned time dependence for λ can obviate this limit, due to the time average.
3.3.3 Conclusions
Meteorites data allow to set constraints on the variation of the fundamental constants, which are comparable to the ones set by the Oklo phenomenon. Similar constraints can also bet set from spontaneous fission (see Section III.A.3 of FVC [500]) but this process is less well understood and less sensitive than the α and βdecay processes and.
From an experimental point of view, the main difficulty concerns the dating of the meteorites and the interpretation of the effective decay rate.
As long as we only consider α_{EM}, the sensitivities can be computed mainly by considering the contribution of the Coulomb energy to the decay energy, that reduces to its contribution to the nuclear energy. However, as for the Oklo phenomenon, the dependencies in the other constants, X_{q}, G_{F}, μ…, require a nuclear model and remain very modeldependent.
3.4 Quasar absorption spectra
3.4.1 Generalities
Quasar (QSO) absorption lines provide a powerful probe of the variation of fundamental constants. Absorption lines in intervening clouds along the line of sight of the QSO give access to the spectra of the atoms present in the cloud, that it is to paleospectra. The method was first used by Savedoff [447] who constrained the time variation of the finestructure constraint from the doublet separations seen in galaxy emission spectra. For general introduction to these observations, we refer to [412, 474, 271].
Indeed, one cannot use a single transition compared to its laboratory value since the expansion of the universe induces a global redshifting of all spectra. In order to tackle down a variation of the fundamental constants, one should resort on various transitions and look for chromatic effects that can indeed not be reproduce by the expansion of the universe, which acts chromatically on all wavelengths.
To achieve such a test, one needs to understand the dependencies of different types of transitions, in a similar way as for atomic clock experiments. [175, 169] suggested to use the convenient formulation
in order to take into account the dependence of the spectra on the finestructure constant. ω is the energy in the restframe of the cloud, that is at a redshift z, ω_{0} is the energy measured today in the laboratory. q and q_{2} are two coefficients that determine the frequency dependence on a variation of α_{EM} and that arise from the relativistic corrections for the transition under consideration. The coefficient q is typically an order of magnitude larger than q_{2} so that the possibility to constrain a variation of the finestructure constant is mainly determined by q. These coefficients were computed for a large set of transitions, first using a relativistic HartreeFock method and then using manybody perturbation theory. We refer to [175, 45, 14] for an extensive discussion of the computational methods and a list of the qcoefficients for various transitions relevant for both quasar spectra and atomic clock experiments. Figure 3 summarizes some of these results. The uncertainty in q are typically smaller than 30 cm^{−1} for Mg, Si, Al and Zn, but much larger for Cr, Fe and Ni due to their more complicated electronic configurations. The accuracy for ω_{0} from dedicated laboratory measurements now reach 0.004 cm^{−1}. It is important to stress that the form (70) ensures that errors in the qcoefficients cannot lead to a non zero detection of Δα_{EM}.
The shift between two lines is easier to measure when the difference between the qcoefficients of the two lines is large, which occurs, e.g., for two levels with large q of opposite sign. Many methods were developed to take this into account. The alkali doublet method (AD) focuses on the finestructure doublet of alkali atoms. It was then generalized to the manymultiplet method (MM), which uses correlations between various transitions in different atoms. As can be seen on Figure 3, some transitions are almost insensitive to a variation of α_{EM}. This is the case of Mg II, which can be used as an anchor, i.e., a reference point. To obtain strong constraints one can either compare transitions of light atoms with those of heavy atoms (because the α_{EM} dependence of the ground state scales as Z^{2}) or compare s − p and d − p transitions in heavy elements (in that case, the relativistic correction will be of opposite signs). This latter effect increases the sensitivity and strengthens the method against systematic errors. However, the results of this method rely on two assumptions: (i) ionization and chemical homogeneity and (ii) isotopic abundance of Mg II close to the terrestrial value. Even though these are reasonable assumptions, one cannot completely rule out systematic biases that they could induce. The AD method completely avoids the assumption of homogeneity because, by construction, the two lines of the doublet must have the same profile. Indeed the AD method avoids the implicit assumption of the MM method that chemical and ionization inhomogeneities are negligible. Another way to avoid the influence of small spectral shift due to ionization inhomogeneities within the absorber and due to possible nonzero offset between different exposures was to rely on different transitions of a single ion in individual exposure. This method has been called the Single ion differential alpha measurement method (SIDAM).
Most studies are based on optical techniques due to the profusion of strong UV transitions that are redshifted into the optical band (this includes AD, MM, SIDAM and it implies that they can be applied only above a given redshift, e.g., Si IV at z > 1.3, Fe IIλ1608 at z > 1) or on radio techniques since radio transitions arise from many different physical effects (hyperfine splitting and in particular HI 21 cm hyperfine transition, molecular rotation, Lambdadoubling, etc). In the latter case, the line frequencies and their comparisons yield constraints on different sets of fundamental constants including α_{EM}, g_{p} and μ. Thus, these techniques are complementary since systematic effects are different in optical and radio regimes. Also the radio techniques offer some advantages: (1) to reach high spectral resolution (< 1 km/s), alleviating in particular problems with line blending and the use of, e.g., masers allow to reach a frequency calibration better than roughly 10 m/s; (2) in general, the sensitivity of the line position to a variation of a constant is higher; (3) the isotopic lines are observed separately, while in optical there is a blend with possible differential saturations (see, e.g., [109] for a discussion).
Let us first emphasize that the shifts in the absorption lines to be detected are extremely small. For instance a change of α_{EM} of order 10^{−5} corresponds a shift of at most 20 mÅ for a redshift of z ∼ 2, which would corresponds to a shift of order ∼ 0.5 km/s, or to about a third of a pixel at a spectral resolution of \(R \sim 40000\), as achieved with Keck/HIRES or VLT/UVES. As we shall discuss later, there are several sources of uncertainty that hamper the measurement. In particular, the absorption lines have complex profiles (because they result from the propagation of photons through a highly inhomogeneous medium) that are fitted using a combination of Voigt profiles. Each of these components depends on several parameters including the redshift, the column density and the width of the line (Doppler parameter) to which one now needs to add the constants that are assumed to be varying. These parameters are constrained assuming that the profiles are the same for all transitions, which is indeed a nontrivial assumption for transitions from different species (this was one of the driving motivations to use the transition from a single species and of the SIDAM method). More important, the fit is usually not unique. This is not a problem when the lines are not saturated but it can increase the error on α_{EM} by a factor 2 in the case of strongly saturated lines [91].
3.4.2 Alkali doublet method (AD)
The first method used to set constraint on the time variation of the finestructure constant relies on finestructure doublets splitting for which
It follows that the relative separation is proportional \({\alpha _{{\rm{EM}}}},\Delta \nu/\bar \nu \propto \alpha _{{\rm{EM}}}^2\) so that the variation of the fine structure constant at a redshift z can be obtained as
where c_{ r } ∼ 1 is a number taking into account the relativistic corrections. This expression is indeed a simple approach of the alkali doublet since one should, as for atomic clocks, take into account the relativistic corrections more precisely. Using the formulation (70), one can deduce that
where the δq are the differences between the qcoefficients for the doublet transitions.
Several authors have applied the AD method to doublets of several species such as, e.g., C IV, N V, O VI, Mg II, Al III, Si II, Si IV. We refer to Section III.3 of FVC [500] for a summary of their results (see also [318]) and focus on the three most recent analysis, based on the SiIV doublet. In this particular case, q = 766 (resp. 362) cm^{−1} and q_{2} = 48 (resp. −8) cm^{−1} for Si IV λ1393 (resp. λ1402) so that c_{ r } = 0.8914. The method is based on a χ^{2} minimization of multiple component Voigt profile fits to the absorption features in the QSO spectra. In general such a profile depends on three parameters, the column density N, the Doppler width (b) and the redshift. It is now extended to include Δα_{EM}/α_{EM}. The fit is carried out by simultaneously varying these parameters for each component.

Murphy et al. [377] analyzed 21 Keck/HIRES Si IV absorption systems toward 8 quasars to obtain the weighted mean of the sample,
$$\Delta {\alpha _{{\rm{EM}}}}/{\alpha _{{\rm{EM}}}} = {(}  0.5 \pm 1.3{)} \times {10^{ 5}},\quad 2.33 < z < 3.08,$$(71)with a mean redshift of z = 2.6. The S/N ratio of these data is in the range 15–40 per pixel and the spectral resolution is R ∼ 34000.

Chand et al. [91] analyzed 15 Si IV absorption systems selected from a ESOUVES sample containing 31 systems (eliminating contaminated, saturated or very broad systems; in particular a lower limit on the column density was fixed so that both lines of the doublets are detected at more than 5σ) to get the weighted mean,
$$\Delta {\alpha _{{\rm{EM}}}}/{\alpha _{{\rm{EM}}}} = {(}  0.15 \pm 0.43{)} \times {10^{ 5}},\quad 1.59 < z < 2.92.$$(72)The improvement of the constraint arises mainly from a better S/N ratio, of order 60–80 per pixel, and resolution R ∼ 45000. Note that combining this result with the previous one (71 in a weighted mean would lead to Δα_{EM}/α_{EM} = (−0.04 ± 0.56) × 10^{−5} in the range 1.59 < z < 3.02

The analysis [349] of seven CIV systems and two Si IV systems in the direction of a single quasar, obtained by the VLTVES (during the science verification) has led to
$$\Delta {\alpha _{{\rm{EM}}}}/{\alpha _{{\rm{EM}}}} = {(}  3.09 \pm 8.46{)} \times {10^{ 5}},\quad 1.19 < z < 1.84.$$(73)This is less constraining than the two previous analyses, mainly because the qcoefficients are smaller for CIV (see [410] for the calibration of the laboratory spectra)
One limitation may arise from the isotopic composition of silicium. Silicium has three naturally occurring isotopes with terrestrial abundances ^{28}Si:^{29}Si:^{30}Si = 92.23:4.68:3.09 so that each absorption line is a composite of absorption lines from the three isotopes. However, it was shown that this effect of isotopic shifts [377] is negligible in the case of Si IV.
3.4.3 Many multiplet method (MM)
A generalization of the AD method, known as the manymulptiplet was proposed in [176]. It relies on the combination of transitions from different species. In particular, as can be seen on Figure 3, some transitions are fairly unsensitive to a change of the finestructure constant (e.g., Mg II or MgI, hence providing good anchors) while others such as Fe II are more sensitive. The first implementation [522] of the method was based on a measurement of the shift of the Fe II (the rest wavelengths of which are very sensitive to α_{EM}) spectrum with respect to the one of MgII. This comparison increases the sensitivity compared with methods using only alkali doublets. Two series of analyses were performed during the past ten years and lead to contradictory conclusions. The accuracy of the measurements depends on how well the absorption line profiles are modeled.
Keck/HIRES data. The MMmethod was first applied in [522] who analyzed one transition of the Mg II doublet and five Fe II transitions from three multiplets. Using 30 absorption systems toward 17 quasars, they obtained
This was the first claim that a constant may have varied during the evolution of the universe. It was later confirmed in a reanalysis [376, 524] of the initial sample and by including new optical QSO data to reach 28 absorption systems with redshift z = 0.5–1.8 plus 18 damped Lymanα absorption systems towards 13 QSO plus 21 Si IV absorption systems toward 13 QSO. The analysis used mainly the multiplets of Ni II, Cr II and Zn II and Mg I, Mg I, Al II, Al III and Fe II was also included. The most recent analysis [369] relies on 128 absorption spectra, later updated [367] to include 143 absorption systems. The more robust estimates is the weighted mean
The resolution for most spectra was R ∼ 45000 and the S/N per pixel ranges from 4 to 240, with most spectral regions with S/N∼ 30. The wavelength scale was calibrated by mean of a thoriumargon emission lamp. This calibration is crucial and its quality is discussed in [368, 374] for the Keck/HIRES (see also [236]) as well as [534] for the VLT/UVES measurements.
The lowz (z < 1.8) and highz rely on different ions and transitions with very different α_{EM}dependencies. At lowz, the Mg transitions are used as anchors against which the large positive shifts in the Fe II can be measured. At highz, different transitions are fitted (Fe II, S II, Cr II, Ni II, Zn II, Al II, Al III). The two subsamples respond differently to simple systematic errors due to their different arrangement of qcoefficients in wavelength space. The analysis for each sample give the weighted mean
with respectively 77 and 66 systems.
Hunting systematics. While performing this kind of observations a number of problems and systematic effects have to be taken into account and controlled. (1) Errors in the determination of laboratory wavelengths to which the observations are compared. (2) While comparing wavelengths from different atoms one has to take into account that they may be located in different regions of the cloud with different velocities and hence with different Doppler shifts. (3) One has to ensure that there is no transition not blended by transitions of another system. (4) The differential isotopic saturation has to be controlled. Usually quasar absorption systems are expected to have lower heavy element abundances. The spatial inhomogeneity of these abundances may also play a role. (5) Hyperfine splitting can induce a saturation similar to isotopic abundances. (6) The variation of the velocity of the Earth during the integration of a quasar spectrum can also induce differential Doppler shift. (7) Atmospheric dispersion across the spectral direction of the spectrograph slit can stretch the spectrum. It was shown that, on average, this can, for low redshift observations, mimic a negative Δα_{EM}/α_{EM}, while this is no more the case for high redshift observations (hence emphasizing the complementarity of these observations). (8) The presence of a magnetic field will shift the energy levels by Zeeman effect. (9) Temperature variations during the observation will change the air refractive index in the spectrograph. In particular, flexures in the instrument are dealt with by recording a calibration lamp spectrum before and after the science exposure and the signaltonoise and stability of the lamp is crucial (10) Instrumental effects such as variations of the intrinsic instrument profile have to be controlled.
All these effects have been discussed in detail in [374, 376] to argue that none of them can explain the current detection. This was recently complemented by a study on the calibration since adistortion of the wavelength scale could lead to a nonzero value of Δα_{EM}. The quality of the calibration is discussed in [368] and shown to have a negligible effect on the measurements (a similar result has been obtained for the VLT/UVES data [534]).
As we pointed out earlier, one assumption of the method concerns the isotopic abundances of Mg II that can affect the lowz sample since any changes in the isotopic composition will alter the value of effective restwavelengths. This isotopic composition is assumed to be close to terrestrial ^{24}Mg:^{25}Mg:^{26}Mg = 79:10:11. No direct measurement of r_{Mg} = (^{26}Mg + ^{25}Mg)/^{24}Mg in QSO absorber is currently feasible due to the small separation of the isotopic absorption lines. However, it was shown [231], on the basis of molecular absorption lines of MgH that r_{Mg} generally decreases with decreasing metallicity. In standard models it should be near 0 at zero metallicity since type II supernovae are primarily producers of ^{24}Mg. It was also argued that ^{13}C is a tracer of ^{25}Mg and was shown to be low in the case of HE 05154414 [321]. However, contrary to this trend, it was found [552] that r_{Mg} can reach high values for some giant stars in the globular cluster NGC 6752 with metallicity [Fe/H] ∼ −1.6. This led Ashenfelter et al. [18] to propose a chemical evolution model with strongly enhanced population of intermediate (2–8 M_{⊙}) stars, which in their asymptotic giant branch phase are the dominant factories for heavy Mg at low metallicities typical of QSO absorption systems, as a possible explanation of the lowz Keck/HIRES observations without any variation of α_{EM}. It would require that r_{Mg} reaches 0.62, compared to 0.27 (but then the UVES/VLT constraints would be converted to a detection). Care needs to be taken since the star formation history can be different ine each region, even in each absorber, so that one cannot a priori use the bestfit obtained from the Keck data to the UVES/VLT data. However, such modified nucleosynthetic history will lead to an overproduction of elements such as P, Si, Al, P above current constraints [192], but this later model is not the same as the one of Ref. [18] that was tuned to avoid these problems.
In conclusion, no compelling evidence for a systematic effect has been raised at the moment.
VLT/UVES data. The previous results, and their importance for fundamental physics, led another team to check this detection using observations from UVES spectrograph operating on the VLT. In order to avoid as much systematics as possible, and based on numerical simulations, they apply a series of selection criteria [90] on the systems used to constrain the time variation of the finestructure constant: (1) consider only lines with similar ionization potentials (Mg II, Fe II, Si II and Al II) as they are most likely to originate from similar regions in the cloud; (2) avoid absorption lines contaminated by atmospheric lines; (3) consider only systems with hight enough column density to ensure that all the mutiplets are detected at more than 5σ; (4) demand than at least one of the anchor lines is not saturated to have a robust measurement of the redshift; (5) reject strongly saturated systems with large velocity spread; (6) keep only systems for which the majority of the components are separated from the neighboring by more than the Doppler shift parameter.
The advantage of this choice is to reject most complex or degenerate systems, which could result in uncontrolled systematics effects. The drawback is indeed that the analysis will be based on less systems.
Refs. [90, 470] analyzed the observations of 23 absorption systems, fulfilling the above criteria, in direction of 18 QSO with a S/N ranging between 50 and 80 per pixel and a resolution R > 44000. They concluded that
hence giving a 3σ constraint on a variation of α_{EM}.
This analysis was challenged by Murphy, Webb and Flambaum [372, 371, 370]. Using (quoting them) the same reduced data, using the same fits to the absorption profiles, they claim to find different individual measurements of Δα_{EM}/α_{EM} and a weighted mean,
which differs from the above cited value. The main points that were raised are (1) the fact that some of the uncertainties on Δα_{EM}/α_{EM} are smaller than a minimum uncertainty that they estimated and (2) the quality of the statistical analysis (in particular on the basis of the χ^{2} curves). These arguments were responded in [471] The revision [471] of the VLT/UVES constraint rejects two more than 4σ deviant systems that were claimed to dominate the reanalysis [371, 370] and concludes that
emphasizing that the errors are probably larger.
On the basis of the articles [372, 371, 370] and the answer [471], it is indeed difficult (without having played with the data) to engage one of the parties. This exchange has enlightened some differences in the statistical analysis.
To finish, let us mention that [361] reanalyzed some systems of [90, 470] by means of the SIDAM method (see below) and disagree with some of them, claiming for a problem of calibration. They also claim that the errors quoted in [367] are underestimated by a factor 1.5.
Regressional MM (RMM). The MM method was adapted to use a linear regression method [427]. The idea is to measure the redshift z_{ i } deduced from the transition i and plot z_{ i } as a function of the sensitivity coefficient. If Δα_{EM} ≠ 0 then there should exist a linear relation with a slope proportional to Δα_{EM}/α_{EM}. On a single absorption system (VLT/UVES), on the basis of FeII transition, they concluded that
compared to Δα_{EM}/α_{EM} = (0.1 ± 1.7) × 10^{−6} that is obtained with the standard MM technique on the same data. This is also consistent with the constraint (79) obtained on the same system with the HARPS spectrograph.
Open controversy. At the moment, we have to face a situation in which two teams have performed two independent analyses based on data sets obtained by two instruments on two telescopes. Their conclusions do not agree, since only one of them is claiming for a detection of a variation of the finestructure constant. This discrepancy between VLT/UVES and Keck/Hires results is yet to be resolved. In particular, they use data from a different telescopes observing a different (Southern/Northern) hemisphere.
Ref. [236] provides an analysis of the wavelength accuracy of the Keck/HIRES spectrograph. An absolute uncertainty of Δz ∼ 10^{−5}, corresponding to Δλ ∼ 0.02 Å with daily drift of Δz ∼ 5 × 10^{−6} and multiday drift of Δz ∼ 2 × 10^{−5}. While the cause of this drift remains unknown, it is argued [236] that this level of systematic uncertainty makes it difficult to use the Keck/HIRES to constrain the time variation of α_{EM} (at least for a single system or a small sample since the distortion pattern pertains to the echelle orders as they are recorded on the CDD, that is it is similar from exposure to exposure, the effect on Δα_{EM}/α_{EM} for an ensemble of absorbers at different redshifts would be random since the transitions fall in different places with respect to the pattern of the disortion). This needs to be confirmed and investigated in more detail. We refer to [373] for a discussion on the Keck wavelength calibration error and [534] for the VLT/UVES as well as [86] for a discussion on the ThAr calibration.
On the one hand, it is appropriate that one team has reanalyzed the data of the other and challenged its analysis. This would indeed lead to an improvement in the robustness of these results. Indeed a similar reverse analysis would also be appropriate. On the other hand both teams have achieved an amazing work in order to understand and quantify all sources of systematics. Both developments, as well as the new techniques, which are appearing, should hopefully set this observational issue. Today, it is unfortunately premature to choose one data set compared to the other.
A recent data [523] set of 60 quasar spectra (yielding 153 absorption systems) for the VLT was used and split at z = 1.8 to get
in agreement with the former study [471], while at higher redshift
This higher component exhibits a positive variation of α_{EM}, that is of opposite sign with respect to the previous Keck/HIRES detection [367]
It was pointed out that the Keck/HIRES and VLT/UVES observations can be made consistent in the case the fine structure constant is spatially varying [523]. Indeed, one can note that they do not correspond to the same hemisphere and invoke a spatial variation. [523] concludes that the distribution of α_{EM} is well represented by a spatial dipole, significant at 4.1σ, in the direction right ascension 17.3 ± 0.6 hours and declination −61 ± 9 deg (see also [50, 48]). This emphasizes the difficulty in comparing different data sets and shows that the constraints can easily be combined as long as they are compatible with no variation but one must care about a possible spatial variation otherwise.
3.4.4 Single ion differential measurement (SIDAM)
This method [320] is an adaptation of the MM method in order to avoid the influence of small spectral shifts due to ionization inhomogeneities within the absorbers as well as to nonzero offsets between different exposures. It was mainly used with Fe II, which provides transitions with positive and negative qcoefficients (see Figure 3). Since it relies on a single ion, it is less sensitive to isotopic abundances, and in particular not sensitive to the one of Mg.
The first analysis relies on the QSO HE 05154414 that was used in [427] to get the constraint (77). An independent analysis [361] of the same system gave a weighted mean
at 1σ. The same system was studied independently, using the HARPS spectrograph mounted on the 3.6 m telescope at La Silla observatory [92]. The HARPS spectrograph has a higher resolution that UVES; R ∼ 112000. Observations based on Fe II with a S/N of about 30–40 per pixel set the constraint
The second constraint [325, 361] is obtained from an absorption system toward Q 1101264,
These constraints do not seem to be compatible with the results of the Keck/HIRES based on the MM method. A potential systematic uncertainty, which can affect these constraints is the relative shift of the wavelength calibration in the blue and the red arms of UVES where the distant Fe lines are recorded simultaneously (see, e.g., [359] for a discussion of the systematics of this analysis).
3.4.5 HI21 cm vs. UV: \(x = \alpha _{{\rm{EM}}}^2{g_p}/\mu\)
The comparison of UV heavy element transitions with the hyperfine HI transition allows to extract [496]
since the hyperfine transition is proportional to \(\alpha _{{\rm{EM}}}^2{g_p}{\mu ^{ 1}}{R_\infty}\) while optical transitions are simply proportional to R_{∞}. It follows that constraints on the time variation of x can be obtained from high resolution 21 cm spectra compared to UV lines, e.g., of Si II, Fe II and/or Mg II, as first performed in [548] in z ∼ 0.524 absorber.
Using 9 absorption systems, there was no evidence for any variation of x [494],
This constraint was criticised in [275] on the basis that the systems have multiple components and that it is not necessary that the strongest absorption arises in the same component in both type of lines. However, the error analysis of [494] tries to estimate the effect of the assumption that the strongest absorption arises in the same component.
Following [147], we note that the systems lie in two widelyseparated ranges and that the two samples have completely different scatter. Therefore it can be split into two samples of respectively 5 and 4 systems to get
In such an approach two main difficulties arise: (1) the radio and optical source must coincide (in the optical QSO can be considered pointlike and it must be checked that this is also the case for the radio source), (2) the clouds responsible for the 21 cm and UV absorptions must be localized in the same place. Therefore, the systems must be selected with care and today the number of such systems is small and are actively looked for [411].
The recent detection of 21 cm and molecular hydrogen absorption lines in the same damped Lymanα system at z_{abs} = 3.174 towards SDSS J1337+3152 constrains [472] the variation x to
This system is unique since it allows for 21 cm, H_{2} and UV observation so that in principle one can measure α_{EM}, x and μ independently. However, as the H_{2} column density was low, only Werner band absorption lines are seen so that the range of sensitivity coefficients is too narrow to provide a stringent constraint, Δμ/μ < 4 × 10^{−4}. It was also shown that the H_{2} and 21 cm are shifted because of the inhomogeneity of the gas, hence emphasizing this limitation. [411] also mentioned that 4 systems at z = 1.3 sets Δx/x = (0.0 ± 1.5) × 10^{−6} and that another system at z = 3.1 gives δx/x = (0.2 ± 0.5) × 10^{−6}. Note also that the comparison [274] with CI at z ∼ 1.4–1.6 towards Q0458020 and Q2337011, yields Δx/x = (6.8 ± 1.0) × 10^{−6} over the band o redshift 0 < 〈z〉 ≤ 1.46, but this analysis ignores an important wavelength calibration estimated to be of the order of 6.7 × 10^{−6}. It was argued that, using the existing constraints on Δμ/μ, this measurement is inconsistent with claims of a smaller value of α_{EM} from the manymultiplet method, unless fractional changes in g_{ p } are larger than those in α_{EM} and μ.
3.4.6 HI vs. molecular transitions: \(y \equiv {g_{\rm{P}}}\alpha _{{\rm{EM}}}^2\)
The HI 21 cm hyperfine transition frequency is proportional to \({g_{\rm{P}}}{\mu ^{ 1}}\alpha _{{\rm{EM}}}^2{R_\infty}\) (see Section 3.1.1). On the other hand, the rotational transition frequencies of diatomic are inversely proportional to their reduced mass M. As on the example of Equation (35) where we compared an electronic transition to a vibrorotational transition, the comparison of the hyperfine and rotational frequencies is proportional to
where the variation of M/m_{p} is usually suppressed by a large factor of the order of the ratio between the proton mass and nucleon binding energy in nuclei, so that we can safely neglect it.
The constraint on the variation of y is directly determined by comparing the redshift as determined from HI and molecular absorption lines,
This method was first applied [513] to the CO molecular absorption lines [536] towards PKS 1413+135 to get
The most recent constraint [375] relies on the comparison of the published redshifts of two absorption systems determined both from HI and molecular absorption. The first is a system at z = 0.6847 in the direction of TXS 0218+357 for which the spectra of CO(12), ^{13}CO(12), C^{18}O(12), CO(23), HCO^{+}(12) and HCN(12) are available. They concluded that
The second system is an absorption system in direction of PKS 1413+135 for which the molecular lines of CO(12), HCO^{+}(12) and HCO^{+}(23) have been detected. The analysis led to
[78] obtains the constraints ∣Δy/y∣ < 3.4 × 10^{−5} at z ∼ 0.25 and z ∼ 0.685.
The radio domain has the advantage of heterodyne techniques, with a spectral resolution of 10^{6} or more, and dealing with cold gas and narrow lines. The main systematics is the kinematical bias, i.e., that the different lines do not come exactly from the same material along the line of sight, with the same velocity. To improve this method one needs to find more sources, which may be possible with the radio telescope ALMA^{Footnote 3}.
3.4.7 OH — 18 cm: \(F = {g_{\rm{P}}}{(\alpha _{{\rm{EM}}}^2\mu)^{1.57}}\)
Using transitions originating from a single species, like with SIDAM, allows to reduce the systematic effects. The 18 cm lines of the OH radical offers such a possibility [95, 272].
The ground state, ^{2}Π_{3}/_{2}J = 3/2, of OH is split into two levels by Λdoubling and each of these doubled level is further split into two hyperfinestructure states. Thus, it has two “main” lines (ΔF = 0) and two “satellite” lines (ΔF =1). Since these four lines arise from two different physical processes (Λdoubling and hyperfine splitting), they enjoy the same Rydberg dependence but different g_{p} and α_{EM} dependencies. By comparing the four transitions to the HI hyperfine line, one can have access to
and it was also proposed to combine them with HCO^{+} transitions to lift the degeneracy.
Using the four 18 cm OH lines from the gravitational lens at z ∼ 0.765 toward PMN J01340931 and comparing the HI 21 cm and OH absorption redshifts of the different components allowed to set the constraint [276]
where the second error is due to velocity offsets between OH and HI assuming a velocity dispersion of 3 km/s. A similar analysis [138] in a system in the direction of PKS 1413+135 gave
3.4.8 Far infrared finestructure lines: \({F\prime} = \alpha _{{\rm{EM}}}^2\mu\)
Another combination [300] of constants can be obtained from the comparison of far infrared finestructure spectra with rotational transitions, which respectively behaves as \({R_\infty}\alpha _{{\rm{EM}}}^2\) and \({R_\infty}\bar \mu = {R_\infty}/\mu\), so that they give access to
A good candidate for the rotational lines is CO since it is the second most abundant molecule in the Universe after H_{2}.
Using the CII finestructure and CO rotational emission lines from the quasars J1148+5251 and BR 12020725, it was concluded that
which represents the best constraints at high redshift. As usual, when comparing the frequencies of two different species, one must account for random Doppler shifts caused by nonidentical spatial distributions of the two species. Several other candidates for microwave and FIR lines with good sensitivities are discussed in [299].
3.4.9 “Conjugate” satellite OH lines: G = g_{p}(α_{EM}μ)^{1.85}
The satellite OH 18 cm lines are conjugate so that the two lines have the same shape, but with one line in emission and the other in absorption. This arises due to an inversion of the level of populations within the ground state of the OH molecule. This behavior has recently been discovered at cosmological distances and it was shown [95] that a comparison between the sum and difference of satellite line redshifts probes G = g_{p}(α_{EM}μ)^{1.85}.
From the analysis of the two conjugate satellite OH systems at z ∼ 0.247 towards PKS 1413+135 and at z ∼ 0.765 towards PMN J01340931, it was concluded [95] that
It was also applied to a nearby system, Centaurus A, to give ∣ΔG/G∣ < 1.6 × 10^{−5} at z ∼ 0.0018. A more recent analysis [273] claims for a tentative evidence (with 2.6σ significance, or at 99.1% confidence) for a smaller value of G
for the system at z ∼ 0.247 towards PKS 1413+135.
One strength of this method is that it guarantees that the satellite lines arise from the same gas, preventing from velocity offset between the lines. Also, the shape of the two lines must agree if they arise from the same gas.
3.4.10 Molecular spectra and the electrontoproton mass ratio
As was pointed out in Section 3.1, molecular lines can provide a test of the variation^{Footnote 4} [488] of μ since rotational and vibrational transitions are respectively inversely proportional to their reduce mass and its squareroot [see Equation (35)].
3.4.10.1 Constraints with H_{2}
H_{2} is the most abundant molecule in the universe and there were many attempts to use its absorption spectra to put constraints on the time variation of μ despite the fact that H_{2} is very difficult to detect [387].
As proposed in [512], the sensitivity of a vibrorotational wavelength to a variation of μ can be parameterized as
where \(\lambda _i^0\) is the laboratory wavelength (in the vacuum) and λ_{ i } is the wavelength of the transition i in the restframe of the cloud, that is at a redshift z_{abs} so that the observed wavelength is λ_{ i }/(1+z_{abs}). K_{ i } is a sensitivity coefficient analogous to the qcoefficient introduced in Equation (70), but with different normalization since in the parameterization we would have \({q_i} = \omega _i^0{K_i}/2\),
corresponding to the Lyman and Werner bands of molecular hydrogen. From this expression, one can deduce that the observed redshift measured from the transition i is simply
which implies in particular that z_{abs} is not the mean of the z_{ i } if Δμ ≠ 0. Indeed z_{ i } is measured with some uncertainty of the astronomical measurements λ_{ i } and by errors of the laboratory measurements \(\lambda _i^0\). But if Δμ ≠ 0 there must exist a correlation between z_{ i } and K_{ i } so that a linear regression of z_{ i } (measurement) as a function of K_{ i } (computed) allows to extract (z_{abs}, b) and their statistical significance.
We refer to Section V.C of FVC [500] for earlier studies and we focus on the latest results. The recent constraints are mainly based on the molecular hydrogen of two damped Lymanα absorption systems at z = 2.3377 and 3.0249 in the direction of two quasars (Q 1232+082 and Q 0347382) for which a first analysis of VLT/UVES data showed [262] a slight indication of a variation,
at 1.5σ for the combined analysis. The lines were selected so that they are isolated, unsaturated and unblended. It follows that the analysis relies on 12 lines (over 50 detected) for the first quasar and 18 (over 80) for second but the two selected spectra had no transition in common. The authors performed their analysis with two laboratory catalogs and got different results. They point out that the errors on the laboratory wavelengths are comparable to those of the astronomical measurements.
It was further improved with an analysis of two absorption systems at z = 2.5947 and z = 3.0249 in the directions of Q 0405443 and Q 0347383 observed with the VLT/UVES spectrograph. The data have a resolution R = 53000 and a S/N ratio ranging between 30 and 70. The same selection criteria where applied, letting respectively 39 (out of 40) and 37 (out of 42) lines for each spectrum and only 7 transitions in common. The combined analysis of the two systems led [261]
according to the laboratory measurements that were used. The same data were reanalyzed with new and highly accurate measurements of the Lyman bands of H_{2}, which implied a reevaluation of the sensitivity coefficient K_{ i }. It leads to the two constraints [431]
leading to a 3.5σ detection for the weighted mean Δμ/μ = (2.4 ± 0.66) × 10^{−5}. The authors of [431] do not claim for a detection and are cautious enough to state that systematics dominate the measurements. The data of the z = 3.02 absorption system were reanalyzed in [529], which claim that they lead to the bound ∣Δμ/μ∣ < 4.9 × 10^{−5} at a 2σ level, instead of Equation (95). Adding a new set of 6 spectra, it was concluded that Δμ/μ = (15 ± 14) × 10^{−6} for the weighted fit [530].
These two systems were reanalyzed [289], adding a new system in direction of Q 0528250,
respectively with 52, 68 and 64 lines. This gives a weighted mean of (2.6±3.0) × 10^{−6} at z ∼ 2.81. To compare with the previous data, the analysis of the two quasars in common was performed by using the same lines (this implies adding 3 and removing 16 for Q 0405443 and adding 4 and removing 35 for Q 0347383) to get respectively (−1.02 ± 0.89) × 10^{−5} (z = 2.59) and (−1.2 ± 1.4) × 10^{−5} (z = 3.02). Both analyses disagree and this latter analysis indicates a systematic shift of Δμ/μ toward 0. A second reanalysis of the same data was performed in [490, 489] using a different analysis method to get
Recently discovered molecular transitions at z = 2.059 toward the quasar J21230050 observed by the Keck telescope allow to obtain 86 H_{2} transitions and 7 HD transitions to conclude [342]
This method is subject to important systematic errors among which (1) the sensitivity to the laboratory wavelengths (since the use of two different catalogs yield different results [431]), (2) the molecular lines are located in the Lymanα forest where they can be strongly blended with intervening HI Lymanα absorption lines, which requires a careful fitting of the lines [289] since it is hard to find lines that are not contaminated. From an observational point of view, very few damped Lymanα systems have a measurable amount of H_{2} so that only a dozen systems is actually known even though more systems will be obtained soon [411]. To finish, the sensitivity coefficients are usually low, typically of the order of 10^{−2}. Some advantages of using H_{2} arise from the fact there are several hundred available H_{2} lines so that many lines from the same ground state can be used to eliminate different kinematics between regions of different excitation temperatures. The overlap between Lyman and Werner bands also allow to reduce the errors of calibration.
To conclude, the combination of all the existing observations indicate that μ is constant at the 10^{−5} level during the past 11 Gigayrs while an improvement of a factor 10 can be expected in the five coming years.
3.4.10.2 Other constraints
It was recently proposed [201, 202] that the inversion spectrum of ammonia allows for a better sensitivity to μ. The inversion vibrorotational mode is described by a double well with the first two levels below the barrier. The tunneling implies that these two levels are split in inversion doublets. It was concluded that the inversion transitions scale as \({\nu _{{\rm{inv}}}} \sim {{\bar \mu}^{4.46}}\), compared with a rotational transition, which scales as \({\nu _{{\rm{rot}}}} \sim \bar \mu\). This implies that the redshifts determined by the two types of transitions are modified according to δz_{inv} = 4.46(1 + z_{abs})Δμ/μ and δz_{rot} ∼ (1 + z_{abs})Δμ/μ so that
Only one quasar absorption system, at z = 0.68466 in the direction of B 0218+357, displaying NH_{3} is currently known and allows for this test. A first analysis [201] estimated from the published redshift uncertainties that a precision of ∼ 2 × 10^{−6} on Δμ/μ can be achieved. A detailed measurement [366] of the ammonia inversion transitions by comparison to HCN and HCO^{+} rotational transitions concluded that
at a 2σ level. Recently the analysis of the comparison of NH_{3} to HC_{3}N spectra was performed toward the gravitational lens system PKS 1830211 (z ≃ 0.89), which is a much more suitable system, with 10 detected NH_{3} inversion lines and a forest of rotational transitions. It reached the conclusion that
at a 3σ level [250]. From a comparison of the ammonia inversion lines with the NH_{3} rotational transitions, it was concluded [353]
at 95% C.L. One strength of this analysis is to focus on lines arising from only one molecular species but it was mentioned that the frequencies of the inversion lines are about 25 times lower than the rotational ones, which might cause differences in the absorbed background radio continuum.
This method was also applied [323] in the Milky Way, in order to constrain the spatial variation of μ in the galaxy (see Section 6.1.3). Using ammonia emission lines from interstellar molecular clouds (Perseus molecular core, the Pipe nebula and the infrared dark clouds) it was concluded that Δμ = (4–14) × 10^{−8}. This indicates a positive velocity offset between the ammonia inversion transition and rotational transitions of other molecules. Two systems being located toward the galactic center while one is in the direction of the anticenter, this may indicate a spatial variation of μ on galactic scales.
3.4.10.3 New possibilities
The detection of several deuterated molecular hydrogen HD transitions makes it possible to test the variation of μ in the same way as with H_{2} but in a completely independent way, even though today it has been detected only in 2 places in the universe. The sensitivity coefficients have been published in [263] and HD was first detected by [387].
HD was recently detected [473] together with CO and H_{2} in a DLA cloud at a redshift of 2.418 toward SDSS1439+11 with 5 lines of HD in 3 components together with several H_{2} lines in 7 components. It allowed to set the 3σ limit of ∣Δμ/μ∣ < 9 × 10^{−5} [412].
Even though the small number of lines does not allow to reach the level of accuracy of H_{2} it is a very promising system in particular to obtain independent measurements.
3.4.10.4 Emission spectra
Similar analysis to constrain the time variation of the fundamental constants were also performed with emission spectra. Very few such estimates have been performed, since it is less sensitive and harder to extend to sources with high redshift. In particular, emission lines are usually broad as compared to absorption lines and the larger individual errors need to be beaten by large statistics.
The O III doublet analysis [24] from a sample of 165 quasars from SDSS gave the constraint
The method was then extended straightforwardly along the lines of the MM method and applied [238] to the finestructure transitions in Ne III, Ne V, O III, O I and S II multiplets from a sample of 14 Seyfert 1.5 galaxies to derive the constraint
3.4.11 Conclusion and prospects
This subsection illustrates the diversity of methods and the progresses that have been achieved to set robust constraints on the variation of fundamental constants. Many systems are now used, giving access to different combinations of the constants. It exploits a large part of the electromagnetic spectrum from far infrared to ultra violet and radio bands and optical and radio techniques have played complementary roles. The most recent and accurate constraints are summarized in Table 10 and Figure 4.
At the moment, only one analysis claims to have detected a variation of the fine structure constant (Keck/HIRES) while the VLT/UVES points toward no variation of the fine structure constant. It has led to the proposition that α_{EM} may be space dependent and exhibit a dipole, the origin of which is not explained. Needless to say that such a controversy and hypotheses are sane since it will help improve the analysis of this data, but it is premature to conclude on the issue of this debate and the jury is still out. Most of the systematics have been investigated in detail and now seem under control.
Let us what we can learn on the physics from these measurement. As an example, consider the constraints obtained on μ, y and F in the redshift band 0.6–0.8 (see Table 10). They can be used to extract independent constraints on g_{p}, α_{EM} and μ
This shows that one can test the compatibility of the constraints obtained from different kind of systems. Independently of these constraints, we have seen in Section 6.3 that in grand unification theory the variation of the constants are correlated. The former constraints show that if Δln μ = RΔlnα_{EM} then the constraint (101) imposes that ∣RΔlnα_{EM}∣ < 1.8 × 10^{−6}. In general R is expected to be of the order of 30–50. Even if its value its timedependent, that would mean that Δlnα_{EM} ∼ (1–5) × 10^{−7}, which is highly incompatible with the constraint (74) obtained by the same team on α_{EM}, but also on the constraints (71) and (72) obtained from the AD method and on which both teams agree. This illustrates how important the whole set of data is since one will probably be able to constrain the order of magnitude of R in a near future, which would be a very important piece of information for the theoretical investigations.
We mention in the course of this paragraph many possibilities to improve these constraints.
Since the AD method is free of the two main assumptions of the MM method, it seems important to increase the precision of this method as well as any method relying only on one species. This can be achieved by increasing the S/N ratio and spectral resolution of the data used or by increasing the sample size and including new transitions (e.g., cobalt [172, 187]).
The search for a better resolution is being investigated in many direction. With the current resolution of R ∼ 40000, the observed line positions can be determined with an accuracy of σ_{ λ } ∼ 1 mÅ. This implies that the accuracy on Δα_{EM}/α_{EM} is of the order of 10^{−5} for lines with typical qcoefficients. As we have seen this limit can be improved to 10^{−6} when more transitions or systems are used together. Any improvement is related to the possibility to measure line positions more accurately. This can be done by increasing R up to the point at which the narrowest lines in the absorption systems are resolved. The Bohlin formula [62] gives the estimates
where Δλ_{pix} is the pixel size, W_{obs} is the observed equivalent width, N_{ e } is the mean number of photoelectron at the continuum level and M is the number of pixel covering the line profile. The metal lines have intrinsic width of a few km/s. Thus, one can expect improvements from higher spectral resolution. Progresses concerning the calibration are also expected, using, e.g., laser comb [478]. Let us just mention, the EXPRESSO (Echelle Spectrograph for PREcision Super Stable Observation) project [115] on 4 VLT units or the CODEX (COsmic Dynamics EXplorer) on EELT projects [360, 357, 507]. They shall provide a resolving power of R = 150000 to be compared to the HARPS^{Footnote 5} (High Accuracy Radial velocity planet Searcher) spectrograph (R ∼ 112000) has been used but it is operating on a 3.6 m telescope.
The limitation may then lie in the statistics and the calibration and it would be useful to use more than two QSO with overlapping spectra to crosscalibrate the line positions. This means that one needs to discover more absorption systems suited for these analyses. Much progress is expected. For instance, the FIR lines are expected to be observed by a new generation of telescopes such as HERSCHEL^{Footnote 6}. While the size of the radio sample is still small, surveys are being carried out so that the number of known redshift OH, HI and HCO^{+} absorption systems will increase. For instance the future Square Kilometer Array (SKA) will be able to detect relative changes of the order of 10^{−7} in α_{EM}.
In conclusion, it is clear that these constraints and the understanding of the absorption systems will increase in the coming years.
3.5 Stellar constraints
Stars start to accumulate helium produced by the ppreaction and the CNO cycle in their core. Furthermore, the products of further nuclear reactions of helium with either helium or hydrogen lead to isotopes with A = 5 or A = 8, which are highly unstable. In order to produce elements heavier than A > 7 by fusion of lighter isotopes, the stars need to reach high temperatures and densities. In these conditions, newly produced ^{12}C would almost immediately be fused further to form heavier elements so that one expects only a tiny amount of ^{12}C to be produced, in contradiction with the observed abundances. This led Hoyle [257] to conclude that a then unknown excited state of the ^{12}C with an energy close to the 3αthreshold should exist since such a resonance would increase the probability that ^{8}Be captures an αparticle. It follows that the production of ^{12}C in stars relies on the three conditions:

the decay lifetime of ^{8}Be, of order 10^{−16} s, is four orders of magnitude longer than the time for two α particles to scatter, so that a macroscopic amount of beryllium can be produced, which is sufficient to lead to considerable production of carbon,

an excited state of ^{12}C lies just above the energy of ^{8}Be+α, which allows for
$$^4{\rm{He}}{{\rm{+}}^4}{\rm{He}}{\leftrightarrow ^8}{\rm{Be,}}{\quad ^8}{\rm{Be}}{{\rm{+}}^4}{\rm{He}}{\leftrightarrow ^{12}}{\rm{C\ast}}\;{\rightarrow^{12}}{\rm{C + 7}}{\rm{.367}}\;{\rm{MeV,}}$$ 
the energy level of ^{16}O at 7.1197 MeV is non resonant and below the energy of ^{12}C + α, of order 7.1616 MeV, which ensures that most of the carbon synthesized is not destroyed by the capture of an αparticle. The existence of this resonance, the \(J_l^\pi = 0_2^ +\)state of ^{12}C was actually discovered [111] experimentally later, with an energy of 372 ± 4 keV [today, \({E_{0_2^ +}} = 379.47 \pm 0.15{\rm{keV}}\)], above the ground state of three αparticles (see Figure 5).
The variation of any constant that would modify the energy of this resonance would also endanger the stellar nucleosynthesis of carbon, so that the possibility for carbon production has often been used in anthropic arguments. Qualitatively, if \({E_{0_2^ +}}\) is increased then the carbon would be rapidly processed to oxygen since the star would need to be hotter for the tripleα process to start. On the other hand, if \({E_{0_2^ +}}\) is decreased, then all αparticles would produce carbon so that no oxygen would be synthesized. It was estimated [334] that the carbon production in intermediate and massive stars is suppressed if the various of the energy of the resonance is outside the range \( 250\,{\rm{keV \lesssim}}\Delta {{\rm{E}}_{0_2^ +}} \lesssim 60{\rm{keV}}\), which was further improved [451] to, \( 5\,{\rm{keV \lesssim}}\Delta {{\rm{E}}_{0_2^ +}} \lesssim 50\,{\rm{keV}}\) in order for the C/O ratio to be larger than the error in the standard yields by more than 50%. Indeed, in such an analysis, the energy of the resonance was changed by hand. However, we expect that if \({E_{0_2^ +}}\) is modified due to the variation of a constant other quantities, such as the resonance of the oxygen, the binding energies and the cross sections will also be modified in a complex way.
In practice, to draw a constraint on the variation of the fundamental constants from the stellar production of carbon, one needs to go through different steps, any of them involving assumptions,

1.
to determine the effective parameters, e.g., cross sections, which affects the stellar evolution. The simplest choice is to modify only the energy of the resonance but it may not be realistic since all cross sections and binding energies should also be affected. This requires one to use a stellar evolutionary model;

2.
relate these parameters to nuclear parameters. This involves the whole nuclear physics machinery;

3.
to relate the nuclear parameters to fundamental constants. As for the Oklo phenomenon, it requires to link QCD to nuclear physics.
A first analysis [390, 391, 451] used a model that treats the carbon nucleus by solving the 12nucleon Schrödinger equation using a threecluster wavefunction representing the threebody dynamics of the ^{12}C state. The NN interaction was described by the Minnesota model [297, 491] and its strength was modified by multiplying the effective NNpotential by an arbitrary number p. This allows to relate the energy of the Hoyle level relative to the triple alpha threshold, ε ≡ Q_{ ααα }, and the gamma width, Γ_{ γ }, as a function of the parameter p, the latter being almost not affected. The modified 3αreaction rate was then given by
where M_{ α } and N_{ α } are the mass and number density of the αparticle, The resonance width Γ = Γ_{ α }Γ_{ γ }/(Γ_{ α } + Γ_{ γ }) ∼ Γ_{ γ }. This was included in a stellar code and ran for red giant stars with 1.3, 5 and 20 M_{∩} with solar metallicity up to thermally pulsating asymptotic giant branch [390] and in low, intermediate and high mass (1.3, 5, 15, 25 M_{∩}) with solar metallicity also up to TPAGB [451] to conclude that outside a window of respectively 0.5% and 4% of the values of the strong and electromagnetic forces, the stellar production of carbon or oxygen will be reduced by a factor 30 to 1000.
In order to compute the resonance energy of the ^{8} Be and ^{12}C a microscopic cluster model was developed [297]. The Hamiltonian of the system is then of the form \(H = \sum \nolimits_i^AT({{\bf{r}}_i} + \sum \nolimits_{j < i}^AV({{\bf{r}}_{ij}})\), where A is the nucleon number, T the kinetic energy and V the NN interaction potential. In order to implement the variation of the strength of the nuclear interaction with respect to the electromagnetic interaction, it was taken as
where δ_{ NN } is a dimensionless parameter that describes the change of the nuclear interaction, V_{ N } being described in [491]. When A > 4 no exact solution can be found and approximate solutions in which the wave function of the ^{8}Be and ^{12}C are described by clusters of respectively 2 and 3 αparticle is well adapted.
First, δ_{ NN } can be related to the deuterium binding energy as
which, given the discussion in Section 3.8.3, allows to relate δ_{ NN } to fundamental constants, as, e.g., in [104]. Then, the resonance energy of the ^{8}Be and ^{12}C scale as
so that the energy of the Hoyle level relative to the triple alpha threshold is Q_{ ααα } = E_{ R }(^{8}Be) + E_{ R }(^{12}C).
This was implemented in [103, 180] to population III stars with typical masses, 15 and 60 M_{∩} with zero metallicity, in order to compute the central abundances at the end of the core He burning. From Figure 5, one can distinguish 4 regimes (I) the star ends the CHe burning phase with a core composed of a mixture of ^{12}C and ^{16}O, as in the standard case; (II) if the 3α rate is weaker, ^{12}C is produced slower, the reaction ^{12}C(α, γ)^{16}O becomes efficient earlier so that the star ends the CHe burning phase with a core composed mostly of ^{16}O; (III) for weaker rates, the ^{16}O is further processed to ^{20}Ne and then ^{24}Mg so that the star ends the CHe burning phase with a core composed of ^{24}Mg and (IV) if the 3α rate is stronger, the ^{12}C is produced more rapidly and the star ends the CHe burning phase with a core composed mostly of ^{12}C. Typically this imposes that
at a redshift of order z ∼ 15, to ensure the ratio C/O to be of order unity.
To finish, a recent study [3] focus on the existence of stars themselves, by revisiting the stellar equilibrium when the values of some constants are modified. In some sense, it can be seen as a generalization of the work by Gamow [224] to constrain the Dirac model of a varying gravitational constant by estimating its effect on the lifetime of the Sun. In this semianalytical stellar structure model, the effect of the fundamental constants was reduced phenomenologically to 3 parameters, G, which enters mainly on the hydrostatic equilibrium, α_{EM}, which enters in the Coulomb barrier penetration through the Gamow energy, and a composite parameter \({\mathcal C}\), which describes globally the modification of the nuclear reaction rates. The underlying idea is to assume that the power generated per unit volume, ε(r), and which determines the luminosity of the star, is proportional to the fudge factor \({\mathcal C}\), which would arise from a modification of the nuclear fusion factor, or equivalently of the cross section. Thus, it assumes that all cross sections are affected is a similar way. The parameter space for which stars can form and for which stable nuclear configurations exist was determined, showing that no finetuning seems to be required.
This new system is very promising and will provide new information on the fundamental constants at redshifts smaller than z ∼ 15 where no constraints exist at the moment, even though drawing a robust constraint seems to be difficult at the moment. In particular, an underlying limitation arises from the fact that the composition of the interstellar media is a mixture of ejecta from stars with different masses and it is not clear which type of stars contribute the most the carbon and oxygen production. Besides, one would need to include rotation and mass loss [181]. As for the Oklo phenomenon, another limitation arises from the complexity of nuclear physics.
3.6 Cosmic Microwave Background
The CMB radiation is composed of photons emitted at the time of the recombination of hydrogen and helium when the universe was about 300,000 years old [see, e.g., [409] for details on the physics of the CMB]. This radiation is observed to be a blackbody with a temperature T_{0} = 2.725 K with small anisotropies of order of the μK. The temperature fluctuation in a direction (ϑ, φ) is usually decomposed on a basis of spherical harmonics as
The angular power spectrum multipole C_{ ℓ } = 〈∣a_{ lm }∣^{2}〉 is the coefficient of the decomposition of the angular correlation function on Legendre polynomials. Given a model of structure formation and a set of cosmological parameters, this angular power spectrum can be computed and compared to observational data in order to constrain this set of parameters.
The CMB temperature anisotropies mainly depend on three constants: G, α_{EM} and m_{e}.
The gravitational constant enters in the Friedmann equation and in the evolution of the cosmological perturbations. It has mainly three effects [435] that are detailed in Section 4.4.1. α_{EM}, m_{e} affect the dynamics of the recombination. Their influence is complex and must be computed numerically. However, we can trace their main effects since they mainly modify the CMB spectrum through the change in the differential optical depth of photons due to the Thomson scattering
which enters in the collision term of the Boltzmann equation describing the evolution of the photon distribution function and where x_{e} is the ionization fraction (i.e., the number density of free electrons with respect to their total number density n_{e}).
The first dependence arises from the Thomson scattering cross section given by
and the scattering by free protons can be neglected since m_{e}/m_{p} ∼ 5 × 10^{−4}.
The second, and more subtle dependence, comes from the ionization fraction. Recombination proceeds via 2photon emission from the 2 level or via the Lyα photons, which are redshifted out of the resonance line [405] because recombination to the ground state can be neglected since it leads to immediate reionization of another hydrogen atom by the emission of a Lyα photons. Following [405, 338] and taking into account, for the sake of simplicity, only the recombination of hydrogen, the equation of evolution of the ionization fraction takes the form
where T_{ M } is the temperature. At high redshift, T_{ M } is identical to the one of the photons T_{ γ } = T_{0}(1 + z) but evolves according to
where the radiation constant a_{ R } = 4σ_{SB}/c with \({\sigma _{{\rm{SB}}}} = k_{\rm{B}}^4{\pi ^2}/(60\pi {c^2}{\hbar ^3})\) the StefanBoltzmann constant. In Equation (113), B_{ n } = −E_{ I }/n^{2} is the energy of the nth hydrogen atomic level, β is the ionization coefficient, \({\mathcal R}\) the recombination coefficient, \({\mathcal C}\) the correction constant due to the redshift of Lyα photons and to 2photon decay and n_{ p } = n_{ e } is the number density of protons. β is related to \({\mathcal R}\) by the principle of detailed balance so that
The recombination rate to all other excited levels is
where σ_{ nl } is the ionization cross section for the (n, l) excited level of hydrogen. The star indicates that the sum needs to be regularized and the α_{EM}, m_{e}dependence of the ionization cross section is complicated to extract. However, it can be shown to behave as \({\sigma _{nl}} \propto \alpha _{{\rm{EM}}}^{ 1}m_{\rm{e}}^{ 2}f(h\nu/{B_1})\). Finally, the factor \({\mathcal C}\) is given by
where Λ_{2s} is the rate of decay of the 2s excited level to the ground state via 2 photons; it scales as \({m_{\rm{e}}}\alpha _{{\rm{EM}}}^8\). The constant K is given in terms of the Lyα photon \({\lambda _\alpha} = 16\pi \hbar/(3{m_{\rm{e}}}\alpha _{{\rm{EM}}}^2c)\) by \(K = {n_p}\lambda _\alpha ^3/(8\pi H)\) and scales as \(m_{\rm{e}}^{ 3}\alpha _{{\rm{EM}}}^{ 6}\).
In summary, both the temperature of the decoupling and the residual ionization after recombination are modified by a variation of α_{EM} or m_{e}. This was first discussed in [36, 277]. The last scattering surface can roughly be determined by the maximum of the visibility function \(g = \dot \tau \exp ( \tau)\), which measures the differential probability for a photon to be scattered at a given redshift. Increasing α_{EM} shifts g to a higher redshift at which the expansion rate is faster so that the temperature and x_{ e } decrease more rapidly, resulting in a narrower g. This induces a shift of the C_{ ℓ } spectrum to higher multipoles and an increase of the values of the C_{ ℓ }. The first effect can be understood by the fact that pushing the last scattering surface to a higher redshift leads to a smaller sound horizon at decoupling. The second effect results from a smaller Silk damping.
Most studies have introduced those modifications in the RECFAST code [454] including similar equations for the recombination of helium. Our previous analysis shows that the dependences in the fundamental constants have various origins, since the binding energies B_{ i } scale has \({m_{\rm{e}}}\alpha _{{\rm{EM}}}^2\), σ_{ T } as \(\alpha _{{\rm{EM}}}^2m_{\rm{e}}^{ 2}\), K as \(m_{\rm{e}}^{ 3}\alpha _{{\rm{EM}}}^{ 6}\), the ionisation coefficients β as \(\alpha _{{\rm{EM}}}^3\), the transition frequencies as \({m_{\rm{e}}}\alpha _{{\rm{EM}}}^2\), the Einstein’s coefficients as \({m_{\rm{e}}}\alpha _{{\rm{EM}}}^5\), the decay rates Λ as \({m_{\rm{e}}}\alpha _{{\rm{EM}}}^8\) and \({\mathcal R}\) has complicated dependence, which roughly reduces to \(\alpha _{{\rm{EM}}}^{ 1}m_{\rm{e}}^{ 2}\). Note that a change in the finestructure constant and in the mass of the electron are degenerate according to Δα_{EM} ≈ 0.39Δm_{e} but this degeneracy is broken for multipoles higher than 1500 [36]. In earlier works [244, 277] it was approximated by the scaling \({\mathcal R} \propto \alpha _{{\rm{EM}}}^{2(1 + \xi)}\) with ξ ∼ 0.7.
The first studies [244, 277] focused on the sensitivity that can be reached by WMAP^{Footnote 7} and Planck^{Footnote 8}. They concluded that they should provide a constraint on α_{EM} at recombination, i.e., at a redshift of about z ∼ 1,000, with a typical precision ∣Δα_{EM}/α_{EM}∣ ∼ 10^{−2}–10^{−3}.
The first attempt [21] to actually set a constraint was performed on the first release of the data by BOOMERanG and MAXIMA. It concluded that a value of α_{EM} smaller by a few percents in the past was favored but no definite bound was obtained, mainly due to the degeneracies with other cosmological parameters. It was later improved [22] by a joint analysis of BBN and CMB data that assumes that only α_{EM} varies and that included 4 cosmological parameters (Ω_{mat}, Ω_{b}, h,n_{ s }) assuming a universe with Euclidean spatial section, leading to −0.09 < Δα_{EM} < 0.02 at 68% confidence level. A similar analysis [307], describing the dependence of a variation of the finestructure constant as an effect on recombination the redshift of which was modeled to scale as z_{*} = 1080[1 + 2Δα_{EM}/α_{EM}], set the constraint −0.14 < Δα_{EM} < 0.02, at a 2σ level, assuming a spatially flat cosmological models with adiabatic primordial fluctuations that. The effect of reionisation was discussed in [350]. These works assume that only α_{EM} is varying but, as can been seen from Eqs. (110–116), assuming the electron mass constant.
With the WMAP first year data, the bound on the variation of α_{EM} was sharpened [438] to −0.05 < Δα_{EM}/α_{EM} < 0.02, after marginalizing over the remaining cosmological parameters (Ω_{mat}h^{2}, Ω_{b}h^{2}, Ωh^{2}, n_{ s }, α_{ s }, τ) assuming a universe with Euclidean spatial sections. Restricting to a model with a vanishing running of the spectral index (α_{ s } ≡ dn_{ s }/dlnk = 0), it gives −0.06 < Δα_{EM}/α_{EM} < 0.01, at a 95% confidence level. In particular it shows that a lower value of α_{EM} makes α_{ s } = 0 more compatible with the data. These bounds were obtained without using other cosmological data sets. This constraint was confirmed by the analysis of [259], which got −0.097 < Δα_{EM}α_{EM} < 0.034, with the WMAP1yr data alone and −0.042 < Δα_{EM}/α_{EM} < 0.026, at a 95% confidence level, when combined with constraints on the Hubble parameter from the HST Hubble Key project.
The analysis of the WMAP3yr data allows to improve [476] this bound to −0.039 < Δα_{EM}/α_{EM} < 0.010, at a 95% confidence level, assuming (Ω_{mat}, Ω_{b}, h, n_{ s }, z_{re}, A_{ s }) for the cosmological parameters (Ω_{Λ} being derived from the assumption Ω_{ K } = 0, as well as τ from the reionisation redshift, z_{re}) and using both temperature and polarization data (TT, TE, EE).
The WMAP 5year data were analyzed, in combination with the 2dF galaxy redshift survey, assuming that both α_{EM} and m_{e} can vary and that the universe was spatially Euclidean. Letting 6 cosmological parameters [(Ω_{mat}h^{2}, Ω_{b}h^{2}, Θ, τ, n_{ s }, A_{ s }), Θ being the ratio between the sound horizon and the angular distance at decoupling] and 2 constants vary they, it was concluded [452, 453] −0.012 < Δα_{EM}/α_{EM} < 0.018 and −0.068 < Δm_{e}/m_{e} < 0.044, the bounds fluctuating slightly depending on the choice of the recombination scenario. A similar analyis [381] not including m_{e} gave −0.050 < Δα_{EM}/α_{EM} < 0.042, which can be reduced by taking into account some further prior from the HST data. Including polarisation data data from ACBAR, QUAD and BICEP, it was also obtained [352] −0.043 < Δα_{EM}/α_{EM} < 0.038 at 95% C.L. and −0.013 < Δα_{EM}/α_{EM} < 0.015 including HST data, also at 95% C.L. Let us also emphasize the work by [351] trying to include the variation of the Newton constant by assuming that Δα_{EM}/α_{EM} = QΔG/G, Q being a constant and the investigation of [380] taking into account α_{EM}, m_{e} and μ, G being kept fixed. Considering (Ω_{mat}, Ω_{b}, h, n_{ s }, τ) for the cosmological parameters they concluded from WMAP5 data (TT, TE, EE) that −8.28 × 10^{−3} < Δα_{EM}/α_{EM} < 1.81 × 10^{−3} and −0.52 < Δμ/μ < 0.17
The analysis of [452, 453] was updated [310] to the WMAP7yr data, including polarisation and SDSS data. It leads to −0.025 < Δα_{EM}/α_{EM} < −0.003 and 0.009 < Δm_{e}/m_{e} < 0.079 at a 1σ level.
The main limitation of these analyses lies in the fact that the CMB angular power spectrum depends on the evolution of both the background spacetime and the cosmological perturbations. It follows that it depends on the whole set of cosmological parameters as well as on initial conditions, that is on the shape of the initial power spectrum, so that the results will always be conditional to the model of structure formation. The constraints on α_{EM} or m_{e} can then be seen mostly as constraints on a delayed recombination. A strong constraint on the variation of α_{EM} can be obtained from the CMB only if the cosmological parameters are independently known. [438] forecasts that CMB alone can determine α_{EM} to a maximum accuracy of 0.1%.
3.6.1 21 cm
After recombination, the CMB photons are redshifted and their temperature drops as (1 + z). However, the baryons are prevented from cooling adiabatically since the residual amount of free electrons, that can couple the gas to the radiation through Compton scattering, is too small. It follows that the matter decouples thermally from the radiation at a redshift of order z ∼ 200.
The intergalactic hydrogen atoms after recombination are in their ground state, which hyperfinestructure splits into a singlet and a triple states (1s_{1/2} with F = 0 and F = 1 respectively, see Section III.B.1 of FCV [500]). It was recently proposed [284] that the observation of the 21 cm emission can provide a test on the fundamental constants. We refer to [221] for a detailed review on 21 cm.
The fraction of atoms in the excited (triplet) state versus the ground (singlet) state is conventionally related by the spin temperature T_{s} defined by the relation
where T_{*} ≡ hc/(λ_{21}k_{B}) = 68.2 mK is the temperature corresponding to the 21 cm transition and the factor 3 accounts for the degeneracy of the triplet state (note that this is a very simplified description since the assumption of a unique spin temperature is probably not correct [221]. The population of the two states is determined by two processes, the radiative interaction with CMB photons with a wavelength of λ_{21} = 21.1 cm (i.e., ν_{21} = 1420 MHz) and spinchanging atomic collision. Thus, the evolution of the spin temperature is dictated by [221].
The first term corresponds to the collision deexcitation rate from triplet to singlet and the coefficient C_{10} is decomposed as
with the respective contribution of HH and eH collisions. The second term corresponds to spontaneous transition and A_{10} is the Einstein coefficient. The equation of evolution for the gas temperature T_{g} is given by Equation (114) with T_{ M } = T_{g} (we recall that we have neglected the contribution of helium) and the electronic density satisfies Equation (113).
It follows [284, 285] that the change in the brightness temperature of the CMB at the corresponding wavelength scales as \({T_{\rm{b}}} \propto {A_{12}}/\nu _{21}^2\), where the Einstein coefficient A_{12} is defined below. Observationally, we can deduce the brightness temperature from the brightness I_{ ν }, that is the energy received in a given direction per unit area, solid angle and time, defined as the temperature of the blackbody radiation with spectrum I_{ ν }. Thus, k_{B}T_{b} ≃ I_{ ν }c^{2}/2ν^{2}. It has a mean value, \({{\bar T}_{\rm{b}}}({z_{{\rm{obs}}}})\) at various redshift where \(1 + {z_{{\rm{obs}}}} = \nu _{21}^{{\rm{today}}}/{\nu _{{\rm{obs}}}}\). Besides, as for the CMB, there will also be fluctuation in T_{b} due to imprints of the cosmological perturbations on n_{ p } and T_{g}. It follows that we also have access to an angular power spectrum C_{ ℓ }(z_{obs}) at various redshift (see [329] for details on this computation).
Both quantities depend on the value of the fundamental constants. Beside the same dependencies of the CMB that arise from the Thomson scattering cross section, we have to consider those arising from the collision terms. In natural units, the Einstein coefficient scaling is given by \({A_{12}} = {2 \over 3}\pi {\alpha _{{\rm{EM}}}}\nu _{21}^3m_{\rm{e}}^{ 2} \sim 2.869 \times {10^{ 15}}{{\rm{s}}^{ 1}}\). It follows that it scales as \({A_{10}} \propto g_{\rm{P}}^3{\mu ^3}\alpha _{{\rm{EM}}}^{13}{m_{\rm{e}}}\). The brightness temperature depends on the fundamental constant as \({T_{\rm{b}}} \propto {g_{\rm{P}}}\mu \alpha _{{\rm{EM}}}^5/{m_{\rm{e}}}\). Note that the signal can also be affected by a time variation of the gravitational constant through the expansion history of the universe. [284] (see also [221] for further discussions), focusing only on α_{EM}, showed that this was the dominant effect on a variation of the fundamental constant (the effect on C_{10} is much complicated to determine but was argued to be much smaller). It was estimated that a single station telescope like LWA^{Footnote 9} or LOFAR^{Footnote 10} can lead to a constraint of the order of Δα_{EM}/α_{EM} ∼ 0.85%, improving to 0.3% for the full LWA. The fundamental challenge for such a measurement is the subtraction of the foreground.
The 21 cm absorption signal in a available on a band of redshift typically ranging from z ≲ 1000 to z ∼ 20, which is between the CMB observation and the formation of the first stars, that is during the “dark age”. Thus, it offers an interesting possibility to trace the constraints on the evolution of the fundamental constants between the CMB epoch and the quasar absorption spectra.
As for CMB, the knowledge of the cosmological parameters is a limitation since a change of 1% in the baryon density or the Hubble parameter implies a 2% (3% respectively) on the mean bolometric temperature. The effect on the angular power spectrum have been estimated but still require an in depth analysis along the lines of, e.g., [329]. It is motivating since C_{ ℓ }(z_{obs}) is expected to depend on the correlators of the fundamental constants, e.g., 〈α_{ EM }(x, z_{obs})α_{EM}(x′, z_{obs})〉 and thus in principle allows to study their fluctuation, even though it will also depend on the initial condition, e.g., power spectrum, of the cosmological perturbations.
In conclusion, the 21 cm observation opens a observational window on the fundamental at redshifts ranging typically from 30 to 100, but full indepth analysis is still required (see [206, 286] for a critical discussion of this probe).
3.7 Big bang nucleosynthesis
3.7.1 Overview
The amount of ^{4}He produced during the big bang nucleosynthesis is mainly determined by the neutron to proton ratio at the freezeout of the weak interactions that interconvert neutrons and protons. The result of Big Bang nucleosynthesis (BBN) thus depends on G, α_{W}, α_{EM} and α_{S} respectively through the expansion rate, the neutron to proton ratio, the neutronproton mass difference and the nuclear reaction rates, besides the standard parameters such as, e.g., the number of neutrino families.
The standard BBN scenario [117, 409] proceeds in three main steps:

1.
for T > 1 MeV, (t < 1 s) a first stage during which the neutrons, protons, electrons, positrons an neutrinos are kept in statistical equilibrium by the (rapid) weak interaction
$$n \leftrightarrow p + {e^ } + {\bar \nu _e},\quad n + {\nu _e} \leftrightarrow p + {e^ },\quad n + {e^ +} \leftrightarrow p + {\bar \nu _e}.$$(119)As long as statistical equilibrium holds, the neutron to proton ratio is
$$(n/p) = {{\rm{e}}^{ {Q_{{\rm{np/}}{{\rm{k}}_{\rm{B}}}T}}}}$$(120)where Q_{np} ≡ (m_{n} − m_{p})c^{2} = 1.29 MeV. The abundance of the other light elements is given by [409]
$${Y_A} = {g_A}{\left({{{\zeta (3)} \over {\sqrt \pi}}} \right)^{A  1}}{2^{(3A  5)/2}}{A^{5/2}}{\left[ {{{{k_{\rm{B}}}T} \over {{m_{\rm{N}}}{c^2}}}} \right]^{3(A  1)/2}}{\eta ^{A  1}}Y_{\rm{p}}^ZY_{\rm{n}}^{A  Z}{{\rm{e}}^{{B_A}/{k_{\rm{B}}}T}},$$(121)where g_{ A } is the number of degrees of freedom of the nucleus \(_Z^A{\rm{X}}\), m_{N} is the nucleon mass, η the baryonphoton ratio and B_{ A } ≡ (Zm_{p} + (A − Z)m_{n} − m_{ A })c^{2} the binding energy.

2.
Around T ∼ 0.8 MeV (t ∼ 2 s), the weak interactions freeze out at a temperature T_{f} determined by the competition between the weak interaction rates and the expansion rate of the universe and thus roughly determined by Γ_{w}(T_{f}) ∼ H(T_{f}) that is
$$G_{\rm{F}}^2{({k_{\rm{B}}}{T_{\rm{f}}})^5} \sim \sqrt {G{N_\ast}} {({k_{\rm{B}}}{T_{\rm{f}}})^2}$$(122)where G_{F} is the Fermi constant and N_{*} the number of relativistic degrees of freedom at T_{f}. Below T_{f}, the number of neutrons and protons change only from the neutron βdecay between T_{f} to T_{N} ∼ 0.1 MeV when p + n reactions proceed faster than their inverse dissociation.

3.
For 0.05 MeV < T < 0.6 MeV (3 s < t < 6 min), the synthesis of light elements occurs only by twobody reactions. This requires the deuteron to be synthesized (p + n → D) and the photon density must be low enough for the photodissociation to be negligible. This happens roughly when
$${{{n_{\rm{d}}}} \over {{n_\gamma}}} \sim {\eta ^2}\exp ( {B_D}/{T_{\rm{N}}}) \sim 1$$(123)with η ∼ 3 × 10^{−10}. The abundance of ^{4}He by mass, Y_{p}, is then well estimated by
$${Y_{\rm{p}}} \simeq 2{{{{(n/p)}_{\rm{N}}}} \over {1 + {{(n/p)}_{\rm{N}}}}}$$(124)with
$${(n/p)_{\rm{N}}} = {(n/p)_{\rm{f}}}\exp ( {t_{\rm{N}}}/{\tau _{\rm{n}}})$$(125)with \({t_{\rm{N}}} \propto {G^{ 1/2}}T_{\rm{N}}^{ 2}\) and \(\tau _{\rm{n}}^{ 1} = 1.636\,G_{\rm{F}}^2(1 + 3g_A^2)m_{\rm{e}}^5/(2{\pi ^3})\), with g_{ A } ≃ 1.26 being the axial/vector coupling of the nucleon. Assuming that \({B_D} \propto \alpha _{\rm{S}}^2\), this gives a dependence \({t_{\rm{N}}}/{\tau _{\rm{P}}} \propto {G^{ 1/2}}\alpha _{\rm{S}}^2G_{\rm{F}}^2\).

4.
The abundances of the light element abundances, Y_{ i }, are then obtained by solving a series of nuclear reactions
$${\dot Y_i} = J  \Gamma {Y_i},$$where J and Γ are timedependent source and sink terms.
From an observational point of view, the light elements abundances can be computed as a function of η and compared to their observed abundances. Figure 6 summarizes the observational constraints obtained on helium4, helium3, deuterium and lithium7. On the other hand, η can be determined independently from the analysis of the cosmic microwave background anisotropies and the WMAP data [296] have led to to the conclusion that
This number being fixed, all abundances can be computed. At present, there exists a discrepancy between the predicted abundance of lithium7 based on the WMAP results [108, 107] for η, ^{7}Li/H = (5.14 ± 0.50) × 10^{−10} and its values measured in metalpoor halo stars in our galaxy [63], ^{7}Li/H = (1.26±0.26) × 10^{−10}, which is a factor of three lower, at least [116] (see also [469]), than the predicted value. No solution to this Lithium7 problem is known. A back of the envelope estimates shows that we can mimic a lower η parameter, just by modifying the deuterium binding energy, letting T_{ N } unchanged, since from Equation (123), one just need ΔB_{ D }/T_{N} ∼ − ln 9 so that the effective η parameter, assuming no variation of constant, is three times smaller than η_{WMAP}. This rough rule of thumb explains that the solution of the lithium7 problem may lie in a possible variation of the fundamental constants (see below for details).
3.7.2 Constants everywhere…
In complete generality, the effect of varying constants on the BBN predictions is difficult to model because of the intricate structure of QCD and its role in low energy nuclear reactions. Thus, a solution is to proceed in two steps, first by determining the dependencies of the light element abundances on the BBN parameters and then by relating those parameters to the fundamental constants.
The analysis of the previous Section 3.8.1, that was restricted to the helium4 case, clearly shows that the abundances will depend on: (1) α_{G}, which will affect the Hubble expansion rate at the time of nucleosynthesis in the same way as extrarelativistic degrees of freedom do, so that it modifies the freezeout time T_{f}. This is the only gravitational sector parameter. (2) τ_{n}, the neutron lifetime dictates the free neutron decay and appears in the normalization of the protonneutron reaction rates. It is the only weak interaction parameter and it is related to the Fermi constant G_{F}, or equivalently the Higgs vev. (3) α_{EM}, the finestructure constant. It enters in the Coulomb barriers of the reaction rates through the Gamow factor, in all the binding energies. (4) Q_{np}, the neutronproton mass difference enters in the neutronproton ratio and we also have a dependence in (5) m_{N} and m_{e} and (6) the binding energies.
Clearly all these parameters are not independent but their relation is often modeldependent. If we focus on helium4, its abundance mainly depends on Q_{np}, T_{f} and T_{N} (and hence mainly on the neutron lifetime, τ_{n}). Early studies (see Section III.C.2 of FVC [500]) generally focused on one of these parameters. For instance, Kolb et al. [295] calculated the dependence of primordial ^{4}He on G, G_{F} and Q_{np} to deduce that the helium4 abundance was mostly sensitive in the change in Q_{np} and that other abundances were less sensitive to the value of Q_{np}, mainly because ^{4}He has a larger binding energy; its abundances is less sensitive to the weak reaction rate and more to the parameters fixing the value of (n/p). To extract the constraint on the finestructure constant, they decomposed Q_{np} as Q_{np} = α_{EM}Q_{ α } + βQ_{ β } where the first term represents the electromagnetic contribution and the second part corresponds to all nonelectromagnetic contributions. Assuming that Q_{ α } and Q_{ β } are constant and that the electromagnetic contribution is the dominant part of Q, they deduced that ∣Δα_{EM}/α_{EM}∣ < 10^{−2}. Campbell and Olive [77] kept track of the changes in T_{f} and Q_{np} separately and deduced that \({{\Delta {Y_{\rm{P}}}} \over {{Y_{\rm{P}}}}} \simeq {{\Delta {T_{\rm{f}}}} \over {{T_{\rm{f}}}}}  {{\Delta {Q_{{\rm{np}}}}} \over {{Q_{{\rm{np}}}}}}\) while more recently the analysis [308] focused on α_{EM} and v.
Let us now see how the effect of all these parameters are now accounted for in BBN codes.
Bergström et al. [51] started to focus on the α_{EM}dependence of the thermonuclear rates (see also Ref. [260]). In the nonrelativistic limit, it is obtained as the thermal average of the product of the cross, the relative velocity and the the number densities. Charged particles must tunnel through a Coulomb barrier to react. Changing α_{EM} modifies these barriers and thus the reaction rates. Separating the Coulomb part, the lowenergy cross section can be written as
where η(E) arises from the Coulomb barrier and is given in terms of the charges and the reduced mass M_{ r } of the two interacting particles as
The form factor S(E) has to be extrapolated from experimental nuclear data but its α_{EM}dependence as well as the one of the reduced mass were neglected. Keeping all other constants fixed, assuming no exotic effects and taking a lifetime of 886.7 s for the neutron, it was deduced that ∣Δα_{EM}/α_{EM}∣ < 2 × 10^{−2}. This analysis was then extended [385] to take into account the α_{EM}dependence of the form factor to conclude that
Ref. [385] also took into account (1) the effect that when two charged particles are produced they must escape the Coulomb barrier. This effect is generally weak because the Q_{ i }values (energy release) of the different reactions are generally larger than the Coulomb barrier at the exception of two cases, ^{3}He(n, p)^{3}H and ^{7}Be(n, p)^{7}Li. The rate of these reactions must be multiplied by a factor (1 + α_{ i }Δα_{EM}/α_{EM}). (2) The radiative capture (photon emitting processes) are proportional to α_{EM} since it is the strength of the coupling of the photon and nuclear currents. All these rates need to be multiplied by (1 + Δα_{EM}/α_{EM}). (3) The electromagnetic contribution to all masses was taken into account, which modify the Q_{ i }values as Q_{ i } → Q_{ i } + q_{ i }Δα_{EM}/α_{EM}). For helium4 abundance these effects are negligible since the main α_{EM}dependence arises from Q_{np}. Equipped with these modifications, it was concluded that \(\Delta {\alpha _{{\rm{EM}}}}/{\alpha _{{\rm{EM}}}} =  0.007_{ 0.017}^{+ 0.010}\) using only deuterium and helium4 since the lithium7 problem was still present.
Then the focus fell on the deuterium binding energy, B_{ D }. Flambaum and Shuryak [207, 208, 158, 157] illustrated the sensitivity of the light element abundances on B_{ D }. Its value mainly sets the beginning of the nucleosynthesis, that is of T_{N} since the temperature must lowenough in order for the photodissociation of the deuterium to be negligible (this is at the origin of the deuterium bottleneck). The importance of B_{ D } is easily understood by the fact that the equilibrium abundance of deuterium and the reaction rate p(n, γ)D depends exponentially on B_{ D } and on the fact that the deuterium is in a shallow bound state. Focusing on the T_{N}dependence, it was concluded [207] that ΔB_{ D }/B_{ D } < 0.075.
This shows that the situation is more complex and that one cannot reduce the analysis to a single varying parameter. Many studies then tried to determinate the sensitivity to the variation of many independent parameters.
The sensitivity of the helium4 abundance to the variation of 7 parameters was first investigated by Müller et al. [364] considering the dependence on the parameters {X_{ i }} ≡ {G, α_{EM}, v, m_{e}, τ_{n}, Q_{np}, B_{ D }} independently,
and assuming Λ_{QCD} fixed (so that the seven parameters are in fact dimensionless quantities). The \(c_i^{(X)}\) are the sensitivities to the BBN parameters, assuming the six others are fixed. It was concluded that \({Y_{{\rm{He}}}} \propto \alpha _{{\rm{EM}}}^{ 0.043}{\upsilon ^{2.4}}m_{\rm{e}}^{0.024}\tau _{\rm{n}}^{0.24}Q_{{\rm{np}}}^{ 1.8}B_D^{0.53}{G^{0.405}}\) for independent variations. They further related (τ_{n}, Q_{np}, B_{ D }) to (α_{EM}, v, m_{e}, m_{N}, m_{d} − m_{u}), as we shall discuss in the next Section 3.8.3.
This was generalized by Landau et al. [309] up to lithium7 considering the parameters {α_{EM}, G_{F}, Λ_{QCD}, Ω_{ b }h^{2}}, assuming G constant where the variation of τ_{n} and the variation of the masses where tied to these parameters but the effect on the binding energies were not considered.
Coc et al. [104] considered the effect of a variation of (Q_{np}, B_{ D }, τ_{n}, m_{e}) on the abundances of the light elements up to lithium7, neglecting the effect of α_{EM} on the. Their dependence on the independent variation of each of these parameters is depicted on Figure 6. It confirmed the result of [207, 394] that the deuterium binding energy is the most sensitive parameter. From the helium4 data alone, the bounds
and
at a 2σ level, were set (assuming η_{wmap}). The deuterium data set the tighter constraint −4 × 10^{−2} ≲ Δln B_{ D } ≲ 3 × 10^{−2}. Note also on Figure 6 that the lithium7 abundance can be brought in concordance with the spectroscopic observations provided that B_{ D } was smaller during BBN
so that B_{ D } may be the most important parameter to resolve the lithium7 problem. The effect of the quark mass on the binding energies was described in [49]. They then concluded that a variation of Δm_{q}/m_{q} = 0.013 ± 0.002 allows to reconcile the abundance of lithium7 and the value of η deduced from WMAP.
This analysis was extended [146] to incorporate the effect of 13 independent BBN parameters including the parameters considered before plus the binding energies of deuterium, tritium, helium3, helium4, lithium6, lithium7 and beryllium7. The sensitivity of the light element abundances to the independent variation of these parameters is summarized in Table I of [146]. These BBN parameters were then related to the same 6 “fundamental” parameters used in [364].
All these analyses demonstrate that the effects of the BBN parameters on the light element abundances are now under control. They have been implemented in BBN codes and most results agree, as well as with semianalytical estimates. As long as these parameters are assume to vary independently, no constraints sharper than 10^{−2} can be set. One should also not forget to take into account standard parameters of the BBN computation such as η and the effective number of relativistic particle.
3.7.3 From BBN parameters to fundamental constants
To reduce the number parameters, we need to relate the BBN parameters to more fundamental ones, keeping in mind that this can usually be done only in a modeldependent way. We shall describe some of the relations that have been used in many studies. They mainly concern Q_{np}, τ_{n} and B_{ D }.
At lowest order, all dimensional parameters of QCD, e.g., masses, nuclear energies etc., are to a good approximation simply proportional to some powers of Λ_{QCD}. One needs to go beyond such a description and takes the effects of the masses of the quarks into account.
Q_{np} can be expressed in terms of the mass on the quarks u and d and the finestructure constant as
where the electromagnetic contribution today is (aα_{EM}Λ_{QCD})_{0} = −0.76 MeV and therefore the quark mass contribution today is (m_{d} − m_{u}) = 2.05 [230] so that
All the analyses cited above agree on this dependence.
The neutron lifetime can be well approximated by
with q ≡ Q_{np}/m_{e} and \({G_F} = 1/\sqrt 2 {\upsilon ^2}\). Using the former expression for Q_{np} we can express τ_{n} in terms of α_{EM}, v and the u, d and electron masses. It follows
Again, all the analyses cited above agree on this dependence.
Let us now turn to the binding energies, and more particularly to B_{ D } that, as we have seen, is a crucial parameter. This is one the better known quantities in the nuclear domain and it is experimentally measured to a precision better than 10^{−6} [19]. Two approaches have been followed.

Pion mass. A first route is to use the dependence of the binding energy on the pion mass [188, 38], which is related to the u and d quark masses by
$$m_\pi ^2 = {m_{\rm{q}}}\langle \bar uu + \bar dd\rangle f_\pi ^{ 2} \simeq \hat m{\Lambda _{{\rm{QCD}}}},$$where m_{q} ≡ ½(m_{u} + m_{d}) and assuming that the leading order of \(\left\langle {\bar uu + \bar dd} \right\rangle f_\pi ^{ 2}\) depends only on Λ_{QCD}, f_{ π } being the pion decay constant. This dependence was parameterized [553] as
$${{\Delta {B_D}} \over {{B_D}}} =  r{{\Delta {m_\pi}} \over {{m_\pi}}},$$where r is a fitting parameter found to be between 6 [188] and 10 [38]. Prior to this result, the analysis of [207] provides two computations of this dependence, which respectively lead to r = −3 and r = 18 while, following the same lines, [88] got r = 0.082.
[364], following the computations of [426], adds an electromagnetic contribution −0.0081Δα_{EM}/α_{EM} so that
$${{\Delta {B_D}} \over {{B_D}}} =  {r \over 2}{{\Delta {m_{\rm{q}}}} \over {{m_{\rm{q}}}}}  0.0081{{\Delta {\alpha _{{\rm{EM}}}}} \over {{\alpha _{{\rm{EM}}}}}},$$(132)but this latter contribution has not been included in other work.

Sigma model. In the framework of the Walecka model, where the potential for the nuclear forces keeps only the σ and ω meson exchanges,
$$V =  {{g_s^2} \over {4\pi r}}\exp ( {m_\sigma}r) + {{g_v^2} \over {4\pi r}}\exp ( {m_\omega}r),$$where g_{ s } and g_{ v } are two coupling constants. Describing σ as a SU(3) singlet state, its mass was related to the mass of the strange quark. In this way one can hope to take into account the effect of the strange quark, both on the nucleon mass and the binding energy. In a second step B_{ D } is related to the meson and nucleon mass by
$${{\Delta {B_D}} \over {{B_D}}} =  48{{\Delta {m_\sigma}} \over {{m_\sigma}}} + 50{{\Delta {m_\omega}} \over {{m_\omega}}} + 6{{\Delta {m_{\rm{N}}}} \over {{m_{\rm{N}}}}}$$so that ΔB_{ D }/B_{ D } ≃ −17Δm_{s}m_{s} [208]. Unfortunately, a complete treatment of all the nuclear quantities on m_{s} has not been performed yet.
The case of the binding energies of the other elements has been less studied. [146] follows a route similar than for B_{ D } and relates them to pion mass and assumes that
where f_{ i } are unknown coefficients assumed to be of order unity and A_{ i } is the number of nucleons. No other estimates has been performed. Other nuclear potentials (such as Reid 93 potential, Nijmegen potential, Argonne v18 potential and Bonn potential) have been used in [101] to determine the dependence of B_{ D } on v and agree with previous studies.
These analyses allow one to reduce all the BBN parameter to the physical constants (α_{EM}, v, m_{e}, m_{d} − m_{u}, m_{q}) and G that is not affected by this discussion. This set can be further reduced, since all the masses can be expressed in terms of v as m_{ i } = h_{ i }v, where h_{ i } are Yukawa couplings.
To go further, one needs to make more assumption, such as grand unification, or by relating the Yukawa coupling of the top to v by assuming that weak scale is determined by dimensional transmutation [104], or that the variation of the constant is induced by a string dilaton [77]. At each step, one gets more stringent constraints, which can reach the 10^{−4} [146] to 10^{−5} [104] level but indeed more modeldependent!
3.7.4 Conclusion
Primordial nucleosynthesis offers a possibility to test almost all fundamental constants of physics at a redshift of z ∼ 10^{8}. This makes it very rich but indeed the effect of each constant is more difficult to disentangle. The effect of the BBN parameters has been quantified with precision and they can be constrained typically at a 10^{−2} level, and in particular it seems that the most sensitive parameter is the deuterium binding energy.
The link with more fundamental parameters is better understood but the dependence of the deuterium binding energy still left some uncertainties and a good description of the effect of the strange quark mass is missing.
We have not considered the variation of G in this section. Its effect is disconnected from the other parameters. Let us just stress that assuming the BBN sensitivity on G by just modifying its value may be misleading. In particular G can vary a lot during the electronpositron annihilation so that the BBN constraints can in general not be described by an effective speedup factor [105, 134].
4 The Gravitational Constant
The gravitational constant was the first constant whose constancy was questioned [155]. From a theoretical point of view, theories with a varying gravitational constant can be designed to satisfy the equivalence principle in its weak form but not in its strong form [540] (see also Section 5). Most theories of gravity that violate the strong equivalence principle predict that the locally measured gravitational constant may vary with time.
The value of the gravitational constant is G = 6.674 28(67) × 10^{−11} m^{3} kg^{−1} s^{−2} so that its relative standard uncertainty fixed by the CODATA^{Footnote 11} in 2006 is 0.01%. Interestingly, the disparity between different experiments led, in 1998, to a temporary increase of this uncertainty to 0.15% [241], which demonstrates the difficulty in measuring the value of this constant. This explains partly why the constraints on the time variation are less stringent than for the other constants.
A variation of the gravitational constant, being a pure gravitational phenomenon, does not affect the local physics, such as, e.g., the atomic transitions or the nuclear physics. In particular, it is equivalent at stating that the masses of all particles are varying in the same way to that their ratios remain constant. Similarly all absorption lines will be shifted in the same way. It follows that most constraints are obtained from systems in which gravity is nonnegligible, such as the motion of the bodies of the Solar system, astrophysical and cosmological systems. They are mostly related in the comparison of a gravitational time scale, e.g., period of orbits, to a nongravitational time scale. It follows that in general the constraints assume that the values of the other constants are fixed. Taking their variation into account would add degeneracies and make the constraints cited below less stringent.
We refer to Section IV of FVC [500] for earlier constraints based, e.g., on the determination of the Earth surface temperature, which roughly scales as \({G^{2.25}}M_ \odot ^{1.75}\) and gives a constraint of the order of ∣ΔG/G∣ < 0.1 [224], or on the estimation of the Earth radius at different geological epochs. We also emphasize that constraints on the variation of G are meant to be constraints on the dimensionless parameter α_{G}.
4.1 Solar systems constraints
Monitoring the orbits of the various bodies of the solar system offers a possibility to constrain deviations from general relativity, and in particular the time variation of G. This accounts for comparing a gravitational time scale (related to the orbital motion) and an atomic time scale and it is thus assumed that the variation of atomic constants is negligible over the time of the experiment.
The first constraint arises from the EarthMoon system. A time variation of G is then related to a variation of the mean motion (n = 2π/P) of the orbit of the Moon around the Earth. A decrease in G would induce both the Lunar mean distance and period to increase. As long as the gravitational binding energy is negligible, one has
Earlier constraints rely on paleontological data and ancient eclipses observations (see Section IV.B.1 of FVC [500]) and none of them are very reliable. A main difficulty arises from tidal dissipation that also causes the mean distance and orbital period to increase (for tidal changes 2ṅ/n + 3ȧ/a = 0), but not as in the same ratio as for Ġ.
The Lunar Laser Ranging (LLR) experiment has measured the relative position of the Moon with respect to the Earth with an accuracy of the order of 1 cm over 3 decades. An early analysis of this data [544] assuming a BransDicke theory of gravitation gave that ∣Ġ/G∣ ≤ 3 × 10^{−11} yr^{−1}. It was improved [365] by using 20 years of observation to get ∣Ġ/G∣ ≤ 1.04 × 10^{−11} yr^{−1}, the main uncertainty arising from Lunar tidal acceleration. With, 24 years of data, one reached [542] ∣Ġ/G∣ ≤ 6 × 10^{−12} yr^{−1} and finally, the latest analysis of the Lunar laser ranging experiment [543] increased the constraint to
Similarly, Shapiro et al. [458] compared radarecho time delays between Earth, Venus and Mercury with a caesium atomic clock between 1964 and 1969. The data were fitted to the theoretical equation of motion for the bodies in a Schwarzschild spacetime, taking into account the perturbations from the Moon and other planets. They concluded that ∣Ġ/G∣ < 4 × 10^{−10} yr^{−1}. The data concerning Venus cannot be used due to imprecision in the determination of the portion of the planet reflecting the radar. This was improved to ∣Ġ/G∣ < 1.5 × 10^{−10} yr^{−1} by including Mariner 9 and Mars orbiter data [429]. The analysis was further extended [457] to give Ġ/G = (−2 ± 10) × 10^{−12} yr^{−1}. The combination of Mariner 10 an Mercury and Venus ranging data gives [12]
Reasenberg et al. [430] considered the 14 months data obtained from the ranging of the Viking spacecraft and deduced, assuming a BransDicke theory, ∣Ġ/G∣ < 10^{−12} yr^{−1}. Hellings et al. [249] using all available astrometric data and in particular the ranging data from Viking landers on Mars deduced that
The major contribution to the uncertainty is due to the modeling of the dynamics of the asteroids on the EarthMars range. Hellings et al. [249] also tried to attribute their result to a time variation of the atomic constants. Using the same data but a different modeling of the asteroids, Reasenberg [428] got ∣Ġ/G∣ < 3 × 10^{−11} yr^{−1}, which was then improved by Chandler et al. [93] to ∣Ġ/G < 10^{−11} yr^{−1}.
4.2 Pulsar timing
Contrary to the solar system case, the dependence of the gravitational binding energy cannot be neglected while computing the time variation of the period. Here two approaches can be followed; either one sticks to a model (e.g., scalartensor gravity) and compute all the effects in this model or one has a more phenomenological approach and tries to put some modelindependent bounds.
Eardley [177] followed the first route and discussed the effects of a time variation of the gravitational constant on binary pulsar in the framework of the BransDicke theory. In that case, both a dipole gravitational radiation and the variation of induce a periodic variation in the pulse period. Nordtvedt [386] showed that the orbital period changes as
where c_{ i } ≡ δln m_{ i }/δln G. He concluded that for the pulsar PSR 1913+16 (m_{1} ≃ m_{2} and c_{1} ≃ c_{2}) one gets
the coefficient c being model dependent. As another application, he estimated that c_{Earth} ∼ −5 × 10^{−10}, c_{Moon} ∼ −10^{−8} and c_{Sun} ∼ −4 × 10^{−6} justifying the formula used in the solar system.
Damour et al. [127] used the timing data of the binary pulsar PSR 1913+16. They implemented the effect of the time variation of G by considering the effect on Ṗ/P. They defined, in a phenomenological way, that Ġ/G = −0.5δṖ/P, where δṖ is the part of the orbital period derivative that is not explained otherwise (by gravitational waves radiation damping). This theoryindependent definition has to be contrasted with the theorydependent result (138) by Nordtvedt [386]. They got
Damour and Taylor [137] then reexamined the data of PSR 1913+16 and established the upper bound
Kaspi et al. [282] used data from PSR B1913+16 and PSR B1855+09 respectively to get
and
the latter case being more “secure” since the orbiting companion is not a neutron star.
All the previous results concern binary pulsars but isolated ones can also be used. Heintzmann and Hillebrandt [248] related the spindown of the pulsar JP1953 to a time variation of G. The spindown is a combined effect of electromagnetic losses, emission of gravitational waves, possible spinup due to matter accretion. Assuming that the angular momentum is conserved so that I/P = constant, one deduces that
The observational spindown can be decomposed as
Since Ṗ/P_{mag} and Ṗ/P_{GW} are positive definite, it follows that Ṗ/P_{obs} ≥ Ṗ/P_{ G } so that a bound on Ġ can be inferred if the main pulse period is the period of rotation. Heintzmann and Hillebrandt [248] then modelled the pulsar by a polytropic (P ∝ ρ^{n}) white dwarf and deduced that dln I/dln G = 2 − 3n/2 so that ∣Ġ/G∣ < 10^{−10} yr^{−1}. Mansfield [344] assumed a relativistic degenerate, zero temperature polytropic star and got that, when Ġ < 0, 0 ≤ −Ġ/G < 6.8 × 10^{−11} yr^{−1} at a 2σ level. He also noted that a positive Ġ induces a spinup counteracting the electromagnetic spindown, which can provide another bound if an independent estimate of the pulsar magnetic field can be obtained. Goldman [233], following Eardley [177], used the scaling relations N ∝ G^{−3/2} and M ∝ G^{−5/2} to deduce that 2dln I/dlnG = −5 + 3dln I/dln N. He used the data from the pulsar PSR 0655+64 to deduce that the rate of decrease of G was smaller than
The analysis [516] of 10 years high precision timing data on the millisecond pulsar PSR J04374715 has allowed to improve the constraint to
Recently, it was argued [266, 432] that a variation of G would induce a departure of the neutron star matter from βequilibrium, due to the changing hydrostatic equilibrium. This would force nonequilibrium βprocesses to occur, which release energy that is invested partly in neutrino emission and partly in heating the stellar interior. Eventually, the star arrives at a stationary state in which the temperature remains nearly constant, as the forcing through the change of G is balanced by the ongoing reactions. Comparing the surface temperature of the nearest millisecond pulsar, PSR J04374715, inferred from ultraviolet observations, two upper limits for variation were obtained, ∣Ġ/G∣ < 2 × 10^{−10} yr^{−1}, direct Urca reactions operating in the neutron star core are allowed, and ∣Ġ/G∣ < 4 × 10^{−12} yr^{−1}, considering only modified Urca reactions. This was extended in [302] in order to take into account the correlation between the surface temperatures and the radii of some old neutron stars to get ∣Ġ/G∣ < 2.1 × 10^{−11} yr^{−1}.
4.3 Stellar constraints
Early works, see Section IV.C of FVC [500], studied the Solar evolution in presence of a time varying gravitational constant, concluding that under the Dirac hypothesis, the original nuclear resources of the Sun would have been burned by now. This results from the fact that an increase of the gravitational constant is equivalent to an increase of the star density (because of the Poisson equation).
The idea of using stellar evolution to constrain the possible value of G was originally proposed by Teller [487], who stressed that the evolution of a star was strongly dependent on G. The luminosity of a main sequence star can be expressed as a function of Newton’s gravitational constant and its mass by using homology relations [224, 487]. In the particular case that the opacity is dominated by freefree transitions, Gamow [224] found that the luminosity of the star is given approximately by L ∝ G^{7.8}M^{5.5}. In the case of the Sun, this would mean that for higher values of G, the burning of hydrogen will be more efficient and the star evolves more rapidly, therefore we need to increase the initial content of hydrogen to obtain the present observed Sun. In a numerical test of the previous expression, Delg’Innocenti et al. [140] found that lowmass stars evolving from the Zero Age Main Sequence to the red giant branch satisfy L ∝ G^{5.6}M^{4.7}, which agrees to within 10% of the numerical results, following the idea that Thomson scattering contributes significantly to the opacity inside such stars. Indeed, in the case of the opacity being dominated by pure Thomson scattering, the luminosity of the star is given by L ∝ G^{4}M^{3}. It follows from the previous analysis that the evolution of the star on the main sequence is highly sensitive to the value of G.
The driving idea behind the stellar constraints is that a secular variation of leads to a variation of the gravitational interaction. This would affect the hydrostatic equilibrium of the star and in particular its pressure profile. In the case of nondegenerate stars, the temperature, being the only control parameter, will adjust to compensate the modification of the intensity of the gravity. It will then affect the nuclear reaction rates, which are very sensitive to the temperature, and thus the nuclear time scales associated to the various processes. It follows that the main stage of the stellar evolution, and in particular the lifetimes of the various stars, will be modified. As we shall see, basically two types of methods have been used, the first in which on relate the variation of G to some physical characteristic of a star (luminosity, effective temperature, radius), and a second in which only a statistical measurement of the change of G can be inferred. Indeed, the first class of methods are more reliable and robust but is usually restricted to nearby stars. Note also that they usually require to have a precise distance determination of the star, which may depend on G.
4.3.1 Ages of globular clusters
The first application of these idea has been performed with globular clusters. Their ages, determined for instance from the luminosity of the mainsequence turnoff, have to be compatible with the estimation of the age of the galaxy. This gives the constraint [140]
The effect of a possible time dependence of G on luminosity has been studied in the case of globular cluster HR diagrams but has not yielded any stronger constraints than those relying on celestial mechanics
4.3.2 Solar and stellar seismology
A side effect of the change of luminosity is a change in the depth of the convection zone so that the inner edge of the convecting zone changes its location. This induces a modification of the vibration modes of the star and particularly to the acoustic waves, i.e., pmodes [141].
Helioseismology. These waves are observed for our star, the Sun, and helioseismology allows one to determine the sound speed in the core of the Sun and, together with an equation of state, the central densities and abundances of helium and hydrogen. Demarque et al. [141] considered an ansatz in which G ∝ t^{−γ} and showed that ∣γ∣ < 0.1 over the last 4.5 × 10^{9} years, which corresponds to ∣Ġ/G∣ < 2 × 10^{−11} yr^{−1}. Guenther et al. [240] also showed that gmodes could provide even much tighter constraints but these modes are up to now very difficult to observe. Nevertheless, they concluded, using the claim of detection by Hill and Gu [251], that ∣Ġ/G∣ < 4.5 × 10^{−12} yr^{−1}. Guenther et al. [239] then compared the pmode spectra predicted by different theories with varying gravitational constant to the observed spectrum obtained by a network of six telescopes and deduced that
The standard solar model depends on few parameters and G plays a important role since stellar evolution is dictated by the balance between gravitation and other interactions. Astronomical observations determines GM_{∩} with an accuracy better than 10^{−7} and a variation of G with GM_{∩} fixed induces a change of the pressure \((P = GM_ \odot ^2/R_ \odot ^2)\) and density \((\rho = {M_ \odot}/R_ \odot ^3)\). The experimental uncertainties in G between different experiments have important implications for helioseismology. In particular the uncertainties for the standard solar model lead to a range in the value of the sound speed in the nuclear region that is as much as 0.15% higher than the inverted helioseismic sound speed [335]. While a lower value of G is preferred for the standard model, any definite prediction is masked by the uncertainties in the solar models available in the literature. Ricci and Villante [436] studied the effect of a variation of G on the density and pressure profile of the Sun and concluded that present data cannot constrain G better than 10^{−2}%. It was also shown [335] that the information provided by the neutrino experiments is quite significant because it constitutes an independent test of G complementary to the one provided by helioseismology.
White dwarfs. The observation of the period of nonradial pulsations of white dwarf allows to set similar constraints. White dwarfs represent the final stage of the stellar evolution for stars with a mass smaller to about 10 M_{∩}. Their structure is supported against gravitational collapse by the pressure of degenerate electrons. It was discovered that some white dwarfs are variable stars and in fact nonradial pulsator. This opens the way to use seismological techniques to investigate their internal properties. In particular, their nonradial oscillations is mostly determined by the BruntVäisälä frequency
where g is the gravitational acceleration, Γ_{1} the first adiabatic exponent and P and ρ the pressure and density (see, e.g., [283] for a white dwarf model taking into account a varying G). A variation of G induces a modification of the degree of degeneracy of the white dwarf, hence on the frequency N as well as the cooling rate of the star, even though this is thought to be negligible at the luminosities where white dwarfs are pulsationally unstable[54]. Using the observation of G117B15A that has been monitored during 20 years, it was concluded [43] that
at a 2σlevel. The same observations were reanalyzed in [54] to obtain
4.3.3 Late stages of stellar evolution and supernovae
A variation of G can influence the white dwarf cooling and the light curves ot Type Ia supernovae.
GarcíaBerro et al. [225] considered the effect of a variation of the gravitational constant on the cooling of white dwarfs and on their luminosity function. As first pointed out by Vila [518], the energy of white dwarfs, when they are cool enough, is entirely of gravitational and thermal origin so that a variation of G will induce a modification of their energy balance and thus of their luminosity. Restricting to cold white dwarfs with luminosity smaller than ten solar luminosity, the luminosity can be related to the star binding energy B and gravitational energy, E_{grav}, as
which simply results from the hydrostatic equilibrium. Again, the variation of the gravitational constant intervenes via the Poisson equation and the gravitational potential. The cooling process is accelerated if Ġ/G < 0, which then induces a shift in the position of the cutoff in the luminosity function. GarcíaBerro et al. [225] concluded that
The result depends on the details of the cooling theory, on whether the C/O white dwarf is stratified or not and on hypothesis on the age of the galactic disk. For instance, with no stratification of the C/O binary mixture, one would require Ġ/G = −(2.5±0.5) × 10^{−11} yr^{−1} if the solar neighborhood has a value of 8 Gyr (i.e., one would require a variation of G to explain the data). In the case of the standard hypothesis of an age of 11 Gyr, one obtains that 0 ≤ −Ġ/G < 3 × 10^{−11} yr^{−1}.
The late stages of stellar evolution are governed by the Chandrasekhar mass \({(\hbar c/G)^{3/2}}m_{\rm{n}}^{ 2}\) mainly determined by the balance between the Fermi pressure of a degenerate electron gas and gravity.
Simple analytical models of the light curves of Type Ia supernovae predict that the peak of luminosity is proportional to the mass of nickel synthesized. In a good approximation, it is a fixed fraction of the Chandrasekhar mass. In models allowing for a varying G, this would induce a modification of the luminosity distanceredshift relation [227, 232, 435]. However, it was shown that this effect is small. Note that it will be degenerate with the cosmological parameters. In particular, the Hubble diagram is sensitive to the whole history of G(t) between the highest redshift observed and today so that one needs to rely on a better defined model, such as, e.g., scalartensor theory [435] (the effect of the Fermi constant was also considered in [194]).
In the case of Type II supernovae, the Chandrasekhar mass also governs the late evolutionary stages of massive stars, including the formation of neutron stars. Assuming that the mean neutron star mass is given by the Chandrasekhar mass, one expects that Ġ/G = −2Ṁ_{NS}/3 M_{NS}. Thorsett [492] used the observations of five neutron star binaries for which five Keplerian parameters can be determined (the binary period P_{ b }, the projection of the orbital semimajor axis α_{1} sin i, the eccentricity e, the time and longitude of the periastron T_{0} and ω) as well as the relativistic advance of the angle of the periastron \({\dot \omega}\). Assuming that the neutron star masses vary slowly as \({M_{{\rm{NS}}}} = M_{{\rm{NS}}}^{(0)}  {{\dot M}_{{\rm{NS}}}}{t_{{\rm{NS}}}}\), that their age was determined by the rate at which P_{ b } is increasing (so that t_{ NS } ≃ 2P_{ b }/Ṗ_{ b }) and that the mass follows a normal distribution, Thorsett [492] deduced that, at 2σ,
4.3.4 New developments
It has recently been proposed that the variation of G inducing a modification of the binary’s binding energy, it should affect the gravitational wave luminosity, hence leading to corrections in the chirping frequency [554]. For instance, it was estimated that a LISA observation of an equalmass inspiral event with total redshifted mass of 10^{5} M_{∩} for three years should be able to measure Ġ/G at the time of merger to better than 10^{−11}/yr. This method paves the way to constructing constraints in a large band of redshifts as well as in different directions in the sky, which would be an invaluable constraint for many models.
More speculative is the idea [25] that a variation of G can lead a neutron to enter into the region where strange or hybrid stars are the true ground state. This would be associated with gammaray bursts that are claimed to be able to reach the level of 10^{−17}/yr on the time variation of G.
4.4 Cosmological constraints
Cosmological observations are more difficult to use in order to set constraints on the time variation of G. In particular, they require to have some ideas about the whole history of G as a function of time but also, as the variation of G reflects an extension of General relativity, it requires to modify all equations describing the evolution (of the universe and of the large scale structure) in a consistent way. We refer to [504, 502, 506] for a discussion of the use of cosmological data to constrain deviations from general relativity.
4.4.1 Cosmic microwave background
A timedependent gravitational constant will have mainly three effects on the CMB angular power spectrum (see [435] for discussions in the framework of scalartensor gravity in which G is considered as a field):

1.
The variation of G modifies the Friedmann equation and therefore the age of the Universe (and, hence, the sound horizon). For instance, if G is larger at earlier time, the age of the Universe is smaller at recombination, so that the peak structure is shifted towards higher angular scales.

2.
The amplitude of the Silk damping is modified. At small scales, viscosity and heat conduction in the photonbaryon fluid produce a damping of the photon perturbations. The damping scale is determined by the photon diffusion length at recombination, and therefore depends on the size of the horizon at this epoch, and hence, depends on any variation of the Newton constant throughout the history of the Universe.

3.
The thickness of the last scattering surface is modified. In the same vein, the duration of recombination is modified by a variation of the Newton constant as the expansion rate is different. It is well known that CMB anisotropies are affected on small scales because the last scattering “surface” has a finite thickness. The net effect is to introduce an extra, roughly exponential, damping term, with the cutoff length being determined by the thickness of the last scattering surface. When translating redshift into time (or length), one has to use the Friedmann equations, which are affected by a variation of the Newton constant. The relevant quantity to consider is the visibility function g. In the limit of an infinitely thin last scattering surface, τ goes from ∞ to 0 at recombination epoch. For standard cosmology, it drops from a large value to a much smaller one, and hence, the visibility function still exhibits a peak, but it is much broader.
In full generality, the variation of G on the CMB temperature anisotropies depends on many factors: (1) modification of the background equations and the evolution of the universe, (2) modification of the perturbation equations, (3) whether the scalar field inducing the time variation of G is negligible or not compared to the other matter components, (4) on the time profile of G that has to be determine to be consistent with the other equations of evolution. This explains why it is very difficult to state a definitive constraint. For instance, in the case of scalartensor theories (see below), one has two arbitrary functions that dictate the variation of G. As can be seen, e.g., from [435, 378], the profiles and effects on the CMB can be very different and difficult to compare. Indeed, the effects described above are also degenerate with a variation of the cosmological parameters.
In the case of BransDicke theory, one just has a single constant parameter ω_{ BD } characterizing the deviation from general relativity and the time variation of G. Thus, it is easier to compare the different constraints. Chen and Kamionkowski [94] showed that CMB experiments such as WMAP will be able to constrain these theories for ω_{ BD } < 100 if all parameters are to be determined by the same CMB experiment, ω_{BD} < 500 if all parameters are fixed but the CMB normalization and ω_{BD} < 800 if one uses the polarization. For the Planck mission these numbers are respectively, 800, 2500 and 3200. [2] concluded from the analysis of WMAP, ACBAR, VSA and CBI, and galaxy power spectrum data from 2dF, that ω_{ BD } > 120, in agreement with the former analysis of [378]. An analysis [549] indictates that The ‘WMAP5yr data’ and the ‘all CMB data’ both favor a slightly nonzero (positive) Ġ/G but with the addition of the SDSS poser spectrum data, the bestfit value is back to zero, concluding that −0.083 < ΔG/G < 0.095 between recombination and today, which corresponds to −1.75 × 10^{−12} yr^{−1} < Ġ/G < 1.05 × 10^{−12} yr^{−1}.
From a more phenomenological prospect, some works modeled the variation of G with time in a purely adhoc way, for instance [89] by assuming a linear evolution with time or a step function.
4.4.2 BBN
As explained in detail in Section 3.8.1, changing the value of the gravitational constant affects the freezeout temperature T_{f}. A larger value of G corresponds to a higher expansion rate. This rate is determined by the combination Gρ and in the standard case the Friedmann equations imply that Gρt^{2} is constant. The density ρ is determined by the number N_{*} of relativistic particles at the time of nucleosynthesis so that nucleosynthesis allows to put a bound on the number of neutrinos N_{ ν }. Equivalently, assuming the number of neutrinos to be three, leads to the conclusion that G has not varied from more than 20% since nucleosynthesis. But, allowing for a change both in G and N_{ ν } allows for a wider range of variation. Contrary to the fine structure constant the role of G is less involved.
The effect of a varying G can be described, in its most simple but still useful form, by introducing a speedup factor, ξ = H/H_{ GR }, that arises from the modification of the value of the gravitational constant during BBN. Other approaches considered the full dynamics of the problem but restricted themselves to the particular class of JordanFierzBransDicke theory [1, 16, 26, 84, 102, 128, 441, 551] (Casas et al. [84] concluded from the study of helium and deuterium that ω_{BD} > 380 when N_{ ν } = 3 and ω_{BD} > 50 when N_{ ν } = 2.), of a massless dilaton with a quadratic coupling [105, 106, 134, 446] or to a general massless dilaton [455]. It should be noted that a combined analysis of BBN and CMB data was investigated in [113, 292]. The former considered G constant during BBN while the latter focused on a nonminimally quadratic coupling and a runaway potential. It was concluded that from the BBN in conjunction with WMAP determination of η set that ΔG/G has to be smaller than 20%. However, we stress that the dynamics of the field can modify CMB results (see previous Section 4.4.1) so that one needs to be careful while inferring Ω_{b} from WMAP unless the scalartensor theory has converged close to general relativity at the time of decoupling.
In early studies, Barrow [26] assumed that G ∝ t^{−n} and obtained from the helium abundances that −5.9 × 10^{−3} < n < 7 × 10^{−3}, which implies that ∣Ġ/G∣ < (2 ± 9.3) h × 10^{−12} yr^{−1}, assuming a flat universe. This corresponds in terms of the BransDicke parameter to ω_{BD} > 25. Yang et al. [551] included the deuterium and lithium to improve the constraint to n < 5 × 10^{−3}, which corresponds to ω_{BD} > 50. It was further improved by Rothman and Matzner [441] to ∣n∣ < 3 × 10^{−3} implying ∣Ġ/G∣ < 1.7 × 10^{−13} yr^{−1}. Accetta et al. [1] studied the dependence of the abundances of D, ^{3}He, ^{4}He and ^{7}Li upon the variation of G and concluded that −0.3 < ΔG/G < 0.4, which roughly corresponds to ∣Ġ/G∣ < 9 × 10^{−13} yr^{−1}. All these investigations assumed that the other constants are kept fixed and that physics is unchanged. Kolb et al. [295] assumed a correlated variation of G, α_{EM} and G_{F} and got a bound on the variation of the radius of the extra dimensions.
Although the uncertainty in the helium4 abundance has been argued to be significantly larger that what was assumed in the past [401], interesting bounds can still be derived [117]. In particular translating the bound on extra relativistic degress of freedom (−0.6 < δN_{ ν } < 0.82) to a constraint on the speedup factor (0.949 < ξ < 1.062), it was concluded [117], since ΔG/G = ξ^{2} − 1 = 7δN_{ ν }/43, that
The relation between the speedup factor, or an extra number of relativistic degrees of freedom, with a variation of G is only approximate since it assumes that the variation of G affects only the Friedmann equation by a renormalization of G. This is indeed accurate only when the scalar field is slowrolling. For instance [105], the speedup factor is given (with the notations of Section 5.1.1) by
so that
so that ΔG/G_{0} = ξ^{2} − 1 only if α ≪ 1 (small deviation from general relativity) and \(\varphi _\ast\prime \ll 1\) (slow rolling dilaton). The BBN in scalartensor theories was investigated [105, 134] in the case of a twoparameter family involving a nonlinear scalar fieldmatter coupling function. They concluded that even in the cases where before BBN the scalartensor theory was far from general relativity, BBN enables to set quite tight constraints on the observable deviations from general relativity today. In particular, neglecting the cosmological constant, BBN imposes \(\alpha _0^2 < {10^{ 6.5}}{\beta ^{ 1}}{({\Omega _{{\rm{mat}}}}{h^2}/0.15)^{ 3/2}}\) when β > 0.5 (with the definitions introduced below Equation (164)).
5 Theories With Varying Constants
As explained in the introduction, Dirac postulated that G varies as the inverse of the cosmic time. Such an hypothesis is indeed not a theory since the evolution of G with time is postulated and not derived from an equation of evolution^{Footnote 12} consistent with the other field equations, that have to take into account that G is no more a constant (in particular in a Lagrangian formulation one needs to take into account that G is no more constant when varying.
The first implementation of Dirac’s phenomenological idea into a fieldtheory framework (i.e., modifying Einstein’s gravity and incorporating nongravitational forces and matter) was proposed by Jordan [268]. He realized that the constants have to become dynamical fields and proposed the action
η and ξ being two parameters. It follows that both G and the finestructure constant have been promoted to the status of a dynamical field.
Fierz [195] realized that with such a Lagrangian, atomic spectra will be spacetimedependent, and he proposed to fix η to the value −1 to prevent such a spacetime dependence. This led to the definition of a oneparameter (ξ) class of scalartensor theories in which only G is assumed to be a dynamical field. This was then further explored by Brans and Dicke [67] (with the change of notation ξ → ω). In this JordanFierzBransDicke theory the gravitational constant is replaced by a scalar field, which can vary both in space and time. It follows that, for cosmological solutions, G ∝ t^{−n} with n^{−1} = 2 + 3ω_{BD}/2. Thus, Einstein’s gravity is recovered when ω_{BD} → ∞. This kind of theory was further generalized to obtain various functional dependencies for in the formalisation of scalartensor theories of gravitation (see, e.g., Damour and EspositoFarèse [124] or Will [540]).
5.1 Introducing new fields: generalities
5.1.1 The example of scalartensor theories
Let us start to remind how the standard general relativistic framework can be extended to make G dynamical on the example of scalartensor theories, in which gravity is mediated not only by a massless spin2 graviton but also by a spin0 scalar field that couples universally to matter fields (this ensures the universality of free fall). In the Jordan frame, the action of the theory takes the form
where G_{*} is the bare gravitational constant. This action involves three arbitrary functions (F, Z and U) but only two are physical since there is still the possibility to redefine the scalar field. F needs to be positive to ensure that the graviton carries positive energy. S_{matter} is the action of the matter fields that are coupled minimally to the metric g_{ μν }. In the Jordan frame, the matter is universally coupled to the metric so that the length and time as measured by laboratory apparatus are defined in this frame.
The variation of this action gives the following field equations
where \(T \equiv T_\mu ^\mu\) is the trace of the matter energymomentum tensor \({T^{\mu \nu}} \equiv (2/\sqrt { g}) \times \delta {S_m}/\delta {g_{\mu \nu}}\) As expected [183], we have an equation, which reduces to the standard Einstein equation when φ is constant and a new equation to describe the dynamics of the new degree of freedom while the conservation equation of the matter fields is unchanged, as expected from the weak equivalence principle.
It is useful to define an Einstein frame action through a conformal transformation of the metric \(g_{\mu \nu}^{\ast} = F(\varphi){g_{\mu \nu}}\). In the following all quantities labeled by a star (*) will refer to Einstein frame. Defining the field φ_{*} and the two functions A(φ_{*}) and V(φ_{*}) (see, e.g., [191]) by
the action (157) reads as
The kinetic terms have been diagonalized so that the spin2 and spin0 degrees of freedom of the theory are perturbations of \(g_{\mu \nu}^{\ast}\) and φ_{*} respectively. In this frame the field equations are given by
with α ≡ dlnA/dφ_{*} and β ≡ dα/dφ_{*}. In this version, the Einstein equations are not modified, but since the theory can now be seen as the theory in which all the mass are varying in the same way, there is a source term to the conservation equation. This shows that the same theory can be interpreted as a varying G theory or a universally varying mass theory, but remember that whatever its form the important parameter is the dimensionless quantity Gm^{2}/ħc.
The action (157) defines an effective gravitational constant G_{eff} = G_{*}/F = G_{*}A^{2}. This constant does not correspond to the gravitational constant effectively measured in a Cavendish experiment. The Newton constant measured in this experiment is
where the first term, \({G_ \ast}A_0^2\) corresponds to the exchange of a graviton while the second term \({G_ \ast}A_0^2\alpha _0^2\) is related to the long range scalar force, a subscript 0 referring to the quantity evaluated today. The gravitational constant depends on the scalar field and is thus dynamical.
This illustrates the main features that will appear in any such models: (i) new dynamical fields appear (here a scalar field), (ii) some constant will depend on the value of this scalar field (here G is a function of the scalar field). It follows that the Einstein equations will be modified and that there will exist a new equation dictating the propagation of the new degree of freedom.
In this particular example, the coupling of the scalar field is universal so that no violation of the universality of free fall is expected. The deviation from general relativity can be quantified in terms of the postNewtonian parameters, which can be expressed in terms of the values of α and β today as
These expressions are valid only if the field is light on the solar system scales. If this is not the case then these conclusions may be changed [287]. The solar system constraints imply α_{0} to be very small, typically \(\alpha _0^2 < {10^{ 5}}\) while β_{0} can still be large. Binary pulsar observations [125,