Abstract
An innovative design of thermal imaging is considered. The results of analysis and calculations of the characteristics of a thermal image receiver (3–15 μm), made in the electron-optical converter architecture, are presented. The spatial dependences of the spontaneous polarization the electric field strengths and the electric potentials on the surface of pyroelectric film are calculated. The characteristics of thermal-field-induced polarization of various pyroelectric films are obtained. The temperature dependences of various pyroelectric films polarizations are calculated by the COMSOL Multiphysics software package based on the finite element method. The possible influences of the piezoelectric effect to the images of the distribution of electric potentials of pyroelectric films are taken into account. The estimates of the values of the main characteristics of the image intensifier tube architecture are obtained.
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This research was supported financially by the Russian Foundation for Basic Research as part of research project no. 20-38-90125.
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Appendices
APPENDIX 1
The field intensity of the upper plane is
Therefore,
and, performing a substitution of variables, we obtain
Thus, we derive the functional dependence of electric-field intensity E of the upper negatively charged plane of the dipole layer from expression (5):
APPENDIX 2
The integral of a superposition of electric-field intensities of both planes is
Its antiderivative is
Let us consider the lower limit of function (A2.2):
Transforming (A2.3) and expanding the obtained expression into a Taylor series (utilizing the smallness of \(\frac{{2zd + {{d}^{2}}}}{{{{z}^{2}} + {{R}^{2}}}}\) at z → ∞), we find
Inserting (A2.4) into expression (A2.2), we obtain a functional dependence for the electric potential of arbitrary point z:
APPENDIX 3
Let us present expression (5) from the main text in the form
Expanding (A3.1) into a Taylor series, we obtain the following after several transformations at R \( \gg \) z:
If dipole arm d \( \gg \) z, it follows from expression (A3.2)
Proceeding in a similar way, we derive an approximation for the electric potential from Eq. (A2.5) at R \( \gg \) z:
Using the Taylor series expansion, we find from (A3.4) that
Since R \( \gg \) z, expression (A3.5) may be transformed into
In the 2zd \( \gg \) d2 case, expression (A3.6) is transformed into (A3.7):
APPENDIX 4
In order to determine the functional dependence for the electric potential at z \( \gg \) R, we integrate expression (13) from the main text:
Thus, the potential of the dipole layer at arbitrary point z at z \( \gg \) R is
APPENDIX 5
Let us use the expression for the mechanical stress tensor to estimate the probable distortion of the distribution of electric potentials induced by the piezoeffect:
Here, Sij is the mechanical stress tensor, Cijkl is the tensor of elastic constants, εkl is the deformation tensor (εkl = αklΔT), eijmn is the tensor of piezoelectric coefficients, and Emn is the electric-field intensity tensor; αj is the matrix of thermal expansion coefficients and ΔT is the change in temperature of the studied material.
We use the Cauchy−Green form of the deformation tensor:
where u is the vector characterizing displacements.
A simultaneous solution of Eqs. (A5.1), (A5.2) with the use of the finite element method allows one to calculate deformations εkl as functions of temperature T(t). The obtained deformation values at different temperatures εkl(T(t)) are used to calculate the electric flux density:
where εijmn is the permittivity tensor of the piezoelectric material. Assuming that the external field is zero (Eexteranl = 0), the following relation is obtained for electric flux density (A5.3):
Inserting the values of piezoelectric polarization Ppiezo into Eq. (19) from the main text, which characterizes the overall pattern of the potential distribution regardless of the cause of polarization, we determine the surface potential induced by elastic deformations.
In doing this, we use
tensor of piezoelectric coefficients eijkl for PZT
tensor of elastic constants Cijkl for PZT
and tensor of elastic constants Cijkl for Si
APPENDIX 6
Let us use literature data on resistivities of the examined films (Table A6.1).
Since Johnson noise is the dominant type of noise in thermal imaging [39], we use the following expression to estimate the thermal noise level:
where k is the Boltzmann constant, T is the temperature of the sensing and conversion sample, R is the resistance of the sensing and conversion sample, and Δf is the equivalent frequency passband.
Having calculated the thermal noise level, we obtain the following for the ultimate sensitivity of pyroelectric image receivers:
The results of calculation of the key parameters of sensing and conversion materials, which were determined in this study for specific types of pyroelectric films, are presented in Table 4 in the main text.
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Grevcev, A.S., Zolotukhin, P.A., Il’ichev, E.A. et al. The Thermal Image Receiver Realized in the Image Intensifier Tube Architecture. Tech. Phys. 68 (Suppl 3), S437–S448 (2023). https://doi.org/10.1134/S1063784223900632
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DOI: https://doi.org/10.1134/S1063784223900632