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Equation of state and weak interactions

The equation of state describes the thermodynamical state of a fluid element based on density, \( \rho \), temperature, \( T \), and the composition. We use the equation of state of Lattimer_Swesty_91. It assumes nuclear statistical equilibrium and we apply it wherever the density is larger than \( 10^{7} \) g/cm\( ^{3} \) and the temperature larger than \( 5\times 10^{9} \)K. This region is described by a liquid drop model for a representative nucleus with atomic number \( A \) and charge \( Z \), surrounded by free alpha particles, protons, and neutrons. The baryons are immersed in an electron and positron gas in equilibrium with a photon gas. Beyond nuclear density, where no isolated nuclei are present, the complicated population of hadrons Glendenning_85,Pons_et_al_99 is approximated by bulk nuclear matter comprised of protons, neutrons, and electrons. However, the central density of the protoneutron star at bounce reaches only about twice nuclear density and the hadron population may only develop later, after the very dynamical postbounce phases. At the low temperature border of nuclear statistical equilibrium, the equation of state is connected to a Boltzmann gas of silicon atoms. In any of these cases, once the density and temperature are given, the composition is fully determined by the specification of the electron fraction \( Y_{e} \).

Matter is connected to the neutrino radiation field by weak interactions. We consider neutrinos of all three flavors and assume that they are massless. The weak interactions enter the collision term in the Boltzmann equation as energy- and angle-dependent emissivities, opacities, and scattering kernels. We include the set specified by Bruenn_85: (i) electron-type neutrino absorption on neutrons, (ii) electron antineutrino absorption on protons, (iii) electron-type neutrino absorption on nuclei, (iv) neutrino-nucleon scattering, (v) coherent scattering of neutrinos on nuclei, (vi) neutrino-electron scattering, and (vii) neutrino production from electron/positron pair annihilation. These reactions, and their inverses, are implemented in our code as described by Mezzacappa_Bruenn_93b,Mezzacappa_Bruenn_93c,Messer_00. In the following code description, we will only include emissivities, \( j \), and opacities, \( \chi \), because this is sufficient to describe how the collision term enters the transport and hydrodynamics equations. In the simulations, the scattering kernels are included in the collision integral as well.

The particles treated by the equation of state are assumed to react with each other on very short time scales such that a description in terms of an instantaneous equilibrium is appropriate. Neutrinos in high-density regimes can also achieve local thermal and weak equilibrium with matter if the opacities are sufficiently high. Unlike the equilibrium with respect to the strong interaction, however, this equilibrium must be determined within our solution of the transport equation. For example, in the protoneutron star at densities above \( 10^{12} \) g cm\( ^{-3} \) and temperatures above \( 5\times 10^{10} \) K the neutrinos are trapped and are well-described by a Fermi-gas in thermal equilibrium with the fluid. At lower densities, the thermalization time scale becomes longer; then the neutrinos can propagate with a nonequilibrium spectrum throughout these regions, to be absorbed elsewhere or leave the star. The strong coupling of the neutrinos to the matter at high densities and the strong coupling between different locations mediated by neutrino transport complicates the evolution of a numerical solution. If the problem is separated into independently updated pieces by operator splitting, the numerical solution will only be stable if information in the numerical implementation is shared faster between the independent updates than in the evaluated physical processes. The fast time scale of neutrino-matter interactions and the propagation of neutrinos at light speed may severely restrict the time step. The required coupling can be built directly into the numerical scheme by an implicit finite differencing of essential parts of the transport equation. Unfortunately, such a differencing requires knowledge of the derivatives of the collision term with respect to all independent state variables-i.e., density, temperature, electron fraction, and neutrino distribution functions. Because the emissivities, opacities, and scattering kernels strongly depend on the neutrino energies and, in the scattering case, on the neutrino propagation directions, the numerical evaluation of the collision term and its derivatives becomes a nonnegligible part of the overall computational effort. Mezzacappa_Bruenn_93a developed a storage scheme that allows the reuse of previously calculated emissivities, opacities, and scattering kernels by linear interpolation within a dynamical table in the independent variables of logarithmic density, \( \log _{10}\left( \rho \right) \), logarithmic temperature, \( \log _{10}\left( T\right) \), and electron fraction, \( Y_{e} \). If one uses these same independent variables in the implicit formulation of the Boltzmann equation, the correct partial derivatives of the reactions directly emerge from the coefficients of the linear interpolation, without additional computational effort. On the one hand, the reuse of previously evaluated interactions is straightforward if the transport equation is solved in the rest frame of the fluid, such that no transformation of the neutrino energy or angle dependence of the interactions is required. On the other hand, the transport equations are simpler in the laboratory frame. In this paper we demonstrate that in the case of spherical symmetry the complexity of the transport equation is manageable and proceed with the analysis in a comoving frame (spacetime coordinates and neutrino four-momentum) to take advantage of the simplifications in the collision term. On average, we have to evaluate new collision integrals in about two to three zones per time step (out of a hundred zones). Although these numbers depend very much on the specific phase of the simulation, the evaluation of nuclear physics input may still take about half of the total execution time.


next up previous
Next: Radiation hydrodynamics in spherical Up: Physics in the Model Previous: Physics in the Model
ApJS preprint doi:10.1086/380191