The optical depth
To evaluate the region where neutrinos decouple from matter, it is necessary to compute the optical depth for neutrinos at any point inside the simulation domain. The optical depth quantifies the global degree of opacity of matter to radiation between two points (A and B) along a certain path. If \(\gamma \) denotes the path between A and B, the optical depth is defined as
$$\begin{aligned} \tau _{\gamma : A \rightarrow B} = \int _{\gamma : A \rightarrow B} \kappa (s)~\mathrm{d} s, \end{aligned}$$
(1)
where \(\kappa (s)\) is the opacity (corresponding to the inverse of the local mean free path) and \(\mathrm{d}s = \sqrt{g_{ij} \mathrm{d}x^i \mathrm{d}x^j}\) is an infinitesimal displacement along the chosen path, with \(g_{ij}\) being the local spatial metric. The physical interpretation of \(\tau \) emerges from its definition: \(\tau \) counts the average number of interactions that radiation particles experiences along \(\gamma \). In radiation transport problems involving astrophysical objects, radiation is often produced in opaque regions from which it diffuses out on the diffusion timescale towards optically thin regions located at the boundary of the physical system. In this context, a statistical description of the radiation and of its global behavior is more relevant than the behavior of single radiation particles. Even though radiation is often produced isotropically on the microscopic scales, interaction with matter can change the propagation direction on macroscopic scales. On the one hand, if radiation particles move towards a region of increasing mean free path, they will more probably retain their direction and eventually move away freely from the production site. On the other hand, particles moving towards a region of decreasing mean free path will more likely interact with matter, changing their original propagation direction. This implies that, independently from the emission properties, macroscopically radiation moves preferentially towards regions of larger mean free path. Eventually, radiation particles reach regions where the local mean free path becomes larger than the relevant domain size and they will stream out of the system, practically without further interactions. If we are interested in the global radiation behavior, we consider any point inside the domain as starting point (A) while the final point (B) can be any point on the boundary of the physical domain.
According to the statistical interpretation presented above, among all the possible paths connecting A to the boundary, the most likely ways for radiation to escape are the paths that minimize the optical depth. We thus define the optical depth of a point \(\mathbf {x}\) as
$$\begin{aligned} \tau (\mathbf {x})=\min _{\{\gamma |\gamma :\mathbf {x}\rightarrow \mathbf {x}_\mathrm{b}\}} \int _\gamma \kappa (s) \mathrm{d} s, \end{aligned}$$
(2)
where \(\mathbf {x}_\mathrm{b}\) is any point of the boundary from which radiation escapes freely. The surface where radiation decouples from matter is defined as the region where \(\tau \sim 1\) and it is referred as neutrino surface. If its curvature is not very pronounced, Eddington approximation applies and a neutrino surface is often referred as the surface where \(\tau = 2/3\).
A common approach to effectively evaluate Eq. (2) is to select a certain number of direction moving away from \(\mathbf {x}\), evaluate \(\tau \) along those, and then take the minimum value obtained across all directions. In the past this has been done already for Newtonian simulation, using cylindrical coordinates and 3–7 directions (see e.g., [32, 35]). In our scheme, instead, we chose 17 directions, corresponding to 5 on-axis directions
$$\begin{aligned} x^+, x^-, y^+, y^-, z^+ \, , \end{aligned}$$
(we disregard all \(z^-\) directions, since all simulations considered in this work are performed with z-symmetry), 8 planar diagonals
$$\begin{aligned} x^+y^+, x^+y^-, x^-y^+, x^-y^-, x^+z^+, x^-z^+, y^+z^+, y^-z^+ \, , \end{aligned}$$
and 4 full diagonals
$$\begin{aligned} x^+y^+z^+, x^+y^-z^+, x^-y^+z^+, x^-y^-z^+ . \end{aligned}$$
A representation of the directions in a Cartesian grid is given by Fig. 1.
Even limiting the number of paths to 17, computing the integrals over the entire simulation domain is usually very expensive in large simulations covering thousands of km in each direction. However, the contribution to the optical depth given by very low-density matter is negligible. For this reason, when performing the integration, we reduce ourselves to a smaller region of the simulated volume centered around the remnant, where we expect to find the neutrino surfaces. In order to select this region, we define the characteristic length of the system \(l_C\) as
$$\begin{aligned} l_C = 5 r_{11}, \end{aligned}$$
(3)
with \(r_{11}\) being the average radius of a density isosurface at \(\rho _\mathrm{th} = 2 \times 10^{11}\, \mathrm{g}~\mathrm{cm}^{-3}\). In the simulations presented in this work \(r_{11} \sim 30\, \mathrm{km}\). To test our approximation, we have computed \(\tau \) with \(l_C = 5\), 6, \(8\, \, r_{11}\) for a few selected cases, without finding significant differences in the thermodynamics properties of the decoupling region.
Neutrino opacities and BNS merger simulations
Neutrino opacities are provided by weak interaction processes and depends on the local matter properties, on the neutrino flavor and energy, and possibly on the neutrino radiation fields itself. Under the assumption of Nuclear Statistical Equilibrium (NSE), the thermodynamics state of matter is fully identified by its rest mass density, temperature, and electron fraction. In this work we distinguish between three independent neutrino species, namely electron neutrinos (\(\nu _e\)), electron antineutrinos (\(\bar{\nu }_e\)) and a collective species for \(\mu \) and \(\tau \) (anti)neutrinos (\(\nu _x\)). The most relevant neutrino–matter reactions considered in this work are listed in Table 1. We consider the corresponding absorptivity \(\kappa _{\mathrm{ab}}\) or scattering opacity \(\kappa _{\mathrm{sc}}\), as they are defined in the Boltzmann transport equation.
Table 1 Weak reactions providing the neutrino opacities used in this work and references for their implementation. \(\nu \in \{\nu _e, \bar{\nu }_e, \nu _{x}\}\) denotes a neutrino species with \(\nu _{x}\) referring to any heavy-lepton neutrino species. \(N \in \{n, p\}\) denotes a nucleon, A a generic nucleus (including \(\alpha \) particles), \(e^{\pm }\) electrons and positrons On the one hand all processes equally contribute to the neutrino opacity relevant for the diffusion process. We thus define the diffusion opacity \(\kappa _\mathrm{diff}\) as
$$\begin{aligned} \kappa _{\mathrm{diff}} = \sum _{r} \kappa _{\mathrm{ab},r} +\sum _{s} \kappa _{\mathrm{sc},s} \, , \end{aligned}$$
(4)
where the indices r and s run over all the considered absorption and scattering reactions, respectively. On the other hand only a subset of reactions are effective in keeping the neutrino field in thermal and weak equilibrium with the plasma. We define an equilibrium opacity as the geometrical mean between the diffusion opacity and the opacity only due to absorption processes (see e.g. [67] or [68] for analogous expressions):
$$\begin{aligned} \kappa _{\mathrm{eq}} = \sqrt{ \left( \sum _{r} \kappa _{\mathrm{ab},r} \right) \kappa _{\mathrm{diff}}} \, . \end{aligned}$$
(5)
These two kinds of opacities provide two different optical depths, \(\tau _\mathrm{diff}\) and \(\tau _\mathrm{eq}\), and two different kinds of neutrino surfaces. The diffusion surfaces mark the transition from the semi-transparent to the optically thin (free-streaming) regime. They can be identified as the last interaction surfaces, meaning that outside them neutrinos are likely not to interact anymore with matter, regardless of the nature of the reaction. On the other hand, the equilibrium surfaces identify the conditions at which neutrino radiation decouples from the background medium, in the sense that freeze-out from thermal and weak equilibrium occurs. This equilibrium is guaranteed by inelastic reactions that produce and absorb neutrinos. Since the latter form a subset of all reactions, \(\kappa _\mathrm{diff} \ge \kappa _\mathrm{eq}\) and the equilibrium surfaces lie always inside the diffusion ones. In particular, if quasi-elastic scattering is efficient in providing opacity beyond the equilibrium surfaces, a scattering atmosphere, where neutrinos diffuse far from local equilibrium, can form.
To compute energy-dependent neutrino opacities for neutrino absorption on nucleons and scattering off nucleons and nuclei we use the publicly available library NuLib [69]. In particular, we rely on expressions for the transport opacities and we include weak magnetism corrections [70], ion–ion correlations, form factor correction [71, 72], and electron polarization correction [73] according to [74]. Differently from the standard code version, we do not include the effect of stimulated absorption in our calculations because it provides unphysically high \(\bar{\nu }_e\) opacities in cold, low-density matter, well below \(\rho _\mathrm{th}\). For the inverse nucleon–nucleon bremsstrahlung and the neutrino–antineutrino pair annihilation we compute the reaction kernels according to [75] and [41, 55], respectively. These kernels depend on the species and energies of both incoming neutrinos. Computations of the corresponding opacities would require the knowledge of the detailed neutrino distribution functions, since neutrinos are not only the colliding, but also the target particles. Since this information is in general not available, the absorption opacity for each neutrino species and energy is computed assuming the target neutrinos to be in equilibrium with matter (for example, in the case of \(\nu _e + \bar{\nu }_e \rightarrow e^+ + e^-\), we fix the \(\nu _e\) energy and we integrate over an equilibrium Fermi–Dirac distribution function for \(\bar{\nu }_e\) ). While this hypothesis is not correct in optically thin conditions, it is well verified in neutrino trapped regions. Since in this work we explore the intermediate, semi-transparent regime, the validity of this approach is a priori uncertain. In general, due to the pair nature of the reaction, the corresponding opacity drops quickly outside the neutrino surfaces even assuming equilibrium conditions for the target particles. Thus, even if not fully correct, their contributions to the absorption opacity in optically thin conditions in Eq. (2) is small and we do not expect a significant change in the calculations of the optical depths and in the determination of the neutrino surfaces. Moreover, these processes are relevant in the case of the \(\nu _x\). Due to the presence of an extended scattering atmosphere, we expect heavy-lepton neutrinos to form a trapped gas also when pair processes become inefficient in keeping the radiation in equilibrium with matter. Thus, even if not accurate, we consider our approximation reasonable in the determination of the location of the neutrino surfaces for all neutrino species.
The thermodynamics conditions of matter used as input for the neutrino opacity calculations are taken from the output of (3+1)D numerical relativity simulations of BNS mergers. We consider equal mass binaries with \(M_\mathrm{NS} = 1.364~M_{\odot }\) (corresponding to a chirp mass of \(1.188~M_{\odot }\) compatible with GW170817) and we make use of two different finite temperature, composition-dependent EOSs: DD2 [76, 77] and SLy4 [78]. These tables assume NSE to determine the nuclear composition. We produce two distinct opacity tables for the two different simulations, using the appropriate EOS table as input. We solve the general relativistic initial data problem to produce irrotational BNS configurations in quasi-circular orbit using the Lorene pseudo-spectral code [79]. The initial separation between the NS is set to \(45\, \mathrm{km}\), corresponding to \(\sim 2{-}3\) orbits before merger. Low temperature (\(T\lesssim 0.1~\hbox {MeV}\)), \(\nu \)-less weak equilibrium slices of the EOS are employed to construct the initial data. To correct for the presence of photons at low density we subtract their pressure contribution from the cold slices.
The (3+1)D evolutions are performed with the WhiskyTHC code [80,81,82,83], complemented by a leakage scheme to account for compositional and energy changes in the matter due to weak reactions involving \(\nu _e\), \(\bar{\nu }_e\), and \(\nu _x\). Free-streaming neutrinos are emitted at an average energy and then evolved according to the M0 scheme introduced in [8, 50]. All the technical details for these simulations are given in [30, 84] which we refer to also for the employed grid setup. A detailed discussion of the thermodynamics properties of the matter during merger can be found in [30]. The DD2 simulation is the same discussed in [30], the SLy4 simulation is presented here for the first time. The domain covered by our simulation is a cube of size length 3024 km (assuming mirror symmetry along z) whose center is at the center of mass of the binary. It is resolved by a Cartesian grid hierarchy composed of 7 2:1 nested refinement levels. The finest refinement level, covering both NSs during the inspiral and the central remnant after merger, has a resolution of \(h \simeq 185~\mathrm{m}\). Since our optical depth calculation scheme works on uniform grids, we interpolate the simulation results onto one uniform grid of resolution \(h' \sim 0.74~\mathrm{km}\) representing our standard resolution. In Appendix A we study the sensitivity of our results by running both higher and lower resolution post-processing analysis, and we find no significant differences. We repeat our analysis also using a different optical depth computation scheme, and we find again no significant difference, as shown in Appendix B. Due to the approximate nature of our neutrino transport scheme, the results we present in this paper carry a certain degree of uncertainty. Comparison with simulations performed with different neutrino schemes (e.g. [52], however, did not reveal significant differences in the density and temperature profiles. On the other hand, the electron fraction in the remnant is more sensitive to the neutrino transport, especially in the density interval where high-energy neutrino decoupling occurs.
The two binary models have been selected in order to span the different outcomes of a BNS: the DD2 EOS model results in a massive NS remnant, which lives longer than the extent of the simulation, while the SLy4 EOS remnant collapses to BH around \(\sim 12~\mathrm{ms}\) after merger. We chose three time snapshots at which to evaluate the optical depth that were reached by both simulations. The timesteps correspond to 1, 10, and \(20~\mathrm{ms}\) after merger time (identified as the time corresponding to the maximum in the strain of the \(\ell =m=2\) mode of the gravitational wave signal). Three dimensional profiles of the density, temperature, electron fraction, and spatial metric tensor were extracted for all the three snapshots and from both simulations.
Analysis strategy
Neutrino opacities have a significant dependence on the energy of the incoming neutrino. A crucial ingredient is thus the determination of the neutrino energy at which the opacity entering Eq. (2) should be evaluated.
Numerical simulations of BNS mergers including neutrino radiation provide values for the average energies of the neutrinos escaping to infinity. Despite the large variety of approximated schemes employed in these analysis, reported values usually agree within 10–20% [48, 49, 66].
As a first approach, we fix the neutrino energy to the following set of values compatible with those results: \(\langle E_{\nu _e} \rangle \approx 9.34~\mathrm{MeV}\), \(\langle E_{\bar{\nu }_e} \rangle \approx 15.16~\mathrm{MeV}\), and \(\langle E_{\nu _x} \rangle \approx 23.98~\mathrm{MeV}\), and we compute spectral optical depths and neutrino surfaces for them. This approach assumes that the neutrino spectrum at infinity is mainly determined by the spectrum emerging from the neutrino surfaces. We determine the thermodynamics conditions of matter (density, temperature and electron fraction) at the neutrino surfaces and we use them to characterize the typical conditions at which the largest fraction of neutrinos decouples from matter. In our discretized domain, we identify the neutrino surface as the region where \(0.5 \le \tau \le 0.85\). For each extracted quantity q we compute the volumetric mean \(q_\mathrm{mean}\) and to give an estimate of its distribution around the mean value we compute the corresponding standard deviation as:
$$\begin{aligned} \sigma _q = \frac{1}{N} \sum _{i=1}^{N} \sqrt{ \left( q_i-q_\mathrm{mean} \right) ^2 } \, , \end{aligned}$$
(6)
where the index i runs over all N cells belonging to the neutrino surface. Due to the actual distribution of conditions, we choose q to be \(\log _{10}\left( {\rho }~[\mathrm{g}~\mathrm{cm}^{-3}] \right) \), \(\log _{10}{\left( T~[\mathrm{MeV}] \right) }\) and \(Y_e\).
As a second approach, we compute the optical depths and the corresponding neutrino surfaces for a large set of neutrino energies between 3 and \(88.67~\hbox {MeV}\), and analyze the decoupling conditions as a function of the neutrino energy. This energy range covers the most relevant part of the neutrino spectra emerging from a NS merger. Within this analysis we will investigate how different the decoupling thermodynamics conditions are for neutrinos of different energies, regardless of their importance in the emerging spectrum.
Finally, we compute the optical depths using energy-integrated opacities. This case is relevant since the few compact binary merger simulations with the M1 transport schemes for neutrinos in the literature are performed assuming a gray approximation [48, 66]. The latter consists in prescribing a certain functional form for the neutrino distribution function, thus removing the 3N degrees of freedom represented by N energy groups for each species. When neutrinos are coupled to matter, weak and thermal equilibrium drives their distributions to an isotropic Fermi–Dirac distribution:
$$\begin{aligned} f_{\nu } (E_\nu ) = \left( e^{(E_\nu - \mu _{\nu })/k_b T} +1 \right) ^{-1} \, , \end{aligned}$$
(7)
where \(E_\nu \) is the neutrino energy, \(\mu _\nu \) the neutrino chemical potential, \(k_b\) is the Boltzmann constant, and T is the temperature of the fluid at absorption (or scattering) point. We evaluate the neutrino chemical potentials at equilibrium as
$$\begin{aligned} \mu _{\nu _e}= & {} \mu _p +\mu _e -\mu _n,\nonumber \\ \mu _{\bar{\nu }_e}= & {} - \mu _{\nu _e},\nonumber \\ \mu _{\nu _x}= & {} 0\, , \end{aligned}$$
(8)
where \(\nu _n\), \(\nu _p\) and \(\nu _e\) are the relativistic neutron, proton and electron chemical potentials, respectively. We introduce a spectrum-averaged opacity defined as:
$$\begin{aligned} \tilde{\kappa }_{\nu } = \frac{\int _0^{\infty } f_{\nu } (E) \kappa _{\nu }(E) E^2 dE}{\int _0^{\infty } f_{\nu } (E) E^2 dE } \, . \end{aligned}$$
(9)
By calculating this average, we compute the typical opacity locally experienced by neutrinos at equilibrium and diffusing from optically thick towards optically thin regions. Since this approach assumes that neutrinos are in equilibrium condition with matter, it is more appropriate for neutrinos in optically thick conditions and more in line with the equilibrium optical depth, \(\tau _\mathrm{eq}\). The average used in this work, Eq. (9), is slightly different from the average computed in some gray neutrino transport schemes, e.g. [66], where the factor \(E^2\) is replaced by \(E^3\). In the latter approach, more emphasis is put on the energy transport (\(I_{\nu } \propto E^3\)) rather than on the particle transport. We do not expect a qualitative difference between the two approaches, even if the energy transport opacities are usually larger than the particle transport ones.