In this section we give basic information about the equation of state that is currently used in our simulations of stellar core collapse and supernovae.
We employ the equation
of state (EoS) of Lattimer & Swesty (1991) with a value of
for the incompressibility modulus of bulk nuclear
matter. The other parameters can be found in the paper of Lattimer & Swesty (1991).
Since this EoS assumes
matter to be in nuclear statistical equilibrium (NSE) it is
applicable only for sufficiently high temperatures and densities.
A more general equation of state, which consistently extends
to lower temperatures and densities not being available, we have
supplemented the EoS of Lattimer & Swesty (1991)
with an EoS that describes a mixture of ideal gases of nucleons and
nuclei with given abundances, plus ideal gases of electrons and
positrons of arbitrary degeneracy and relativity, plus photons
(Janka 1999).
The latter EoS includes Coulomb lattice corrections for the pressure,
energy density, entropy, and adiabatic index.
In general, the regime of NSE is bounded from below by a complicated
hyperplane in
-space.
For our purposes, however, it is sufficient to assume that
the transition between the two regimes (and thus the two equations
of state) takes place at a fixed value of the density
:
If the density of a fluid element fulfils the condition
,
the temperature in a supernova
core is usually large enough (
MeV) to ensure that NSE
holds.
Therefore the EoS of Lattimer & Swesty (1991) can be used at such conditions.
If the density drops below the value
,
the non-NSE equation of
state is invoked.
Since both EoSs employ a similar description of the physical
properties of stellar matter at densities in the range between
107
and 108
,
the merging of them across the
-plane at
is sufficiently smooth as far as, e.g., the pressure, internal energy
density and chemical potentials as functions of density are concerned.
A particular complication, however, arises with the chemical
composition of the stellar plasma.
Lattimer & Swesty (1991) describe the baryonic part of the EoS as a mixture of
nucleons,
-particles and a heavy nucleus with in general
non-integer mass and charge numbers (A,Z).
The latter is considered
to be representative of a mixture of heavy nuclei that coexist at
given
.
Assuming NSE, the corresponding number densities of the
nuclear constituents and the mass and charge numbers of the
representative heavy nucleus are given as a function of the local values
of
,
T, and
.
At the transition from NSE to non-NSE, the nuclear composition
freezes out and one would ideally want to retain the baryonic abundances
as given by the EoS of Lattimer & Swesty (1991) at
.
While this is no
problem in case of a Lagrangian hydrodynamics code, where the grid
cells follow the evolution of individual fluid elements with specific
information about the chemical composition attributed, the use of an
Eulerian or moving grid requires a more complicated numerical
procedure. Here, additional advection equations (similar to
Eq. (4)) for the different nuclear components must be
integrated to trace the temporal evolution of the composition on the
whole numerical grid. With a finite, fixed number of such conservation
equations to be solved in the code, one cannot allow for an arbitrarily
large ensemble of different nuclear species with non-integer mass and
charge numbers, as provided at freeze-out from NSE at
by the
EoS of Lattimer & Swesty (1991). Instead, we predefine a discrete set of nuclei
at the beginning of the
simulation, with k=1 for neutrons, k=2 for protons, k=3 for
-particles and
for a number of
suitably chosen heavy nuclei. When the conditions in a computational
cell change from NSE to non-NSE, we must map the NSE
composition
as given by the EoS of
Lattimer & Swesty (1991) to our discrete sample of species
with the constraints of charge
neutrality and baryon number conservation.
The following procedure turned out to yield very satisfactory
results. It is applied at each time step and in cells of the
computational grid, which are close to a possible breakdown of NSE
(i.e. which are close to
). Applying this procedure also in
grid cells where NSE still holds and the EoS of Lattimer & Swesty (1991) is
used, makes sure that the compositional information is available for a
transition to the non-NSE regime, if the freeze-out condition
(
)
is reached during a hydrodynamic time step.
First we identify the densities of neutrons and
-particles
with their NSE values:
,
.
For given density
and electron
fraction
,
the number densities of protons and nuclei,
and
n(Aj,Zj), respectively, can then be determined from the
requirements of charge neutrality and baryon number conservation.
The index (Aj,Zj) points to a particular nucleus
,
which is chosen from the set of non-NSE nuclei.
It is associated with the representative heavy nucleus
according to the conditions:
Both the EoS of Lattimer & Swesty (1991) and the non-baryonic part of our
low-density equation of state are stored in tabular form for our
calculations. Our table of the EoS of Lattimer & Swesty (1991)
has 180 and 120
logarithmically spaced entries within the density range
and the temperature
range
,
respectively,
and 50 equally spaced entries for
.
Similarly, the table for the
lepton plus photon EoS Janka (1999) has 441 entries for
10-10
and 141 entries
for
.
Intermediate values are obtained by trilinear interpolation
in
,
,
and bilinear
interpolation in
,
,
respectively.
Using EoSs in a discretized form we have performed the test
calculation suggested by Swesty (1996, Sect. 4) for exploring the
accuracy of the EoS evaluation.
From our tests we can exclude any serious "unphysical
entropy production or loss in otherwise adiabatic flows''
(Swesty 1996).
For several combinations of initial values for
and s that are
typical of conditions encountered in core-collapse simulations, we
found the
deviations from adiabaticity to be negligibly small. The relative
change of the entropy per baryon was less than 10-3 for a
density increase by a factor of 104.
When the condition for silicon burning applies, which is taken to be
K (Hix & Thielemann 1999; Mezzacappa et al. 2001), we simply add
up the local mass fractions of
and
:
,
and set
.
Analogously, we treat the burning of
to
with a threshold temperature of
K
and of
,
,
to
at
K
(Woosley et al. 2002).
When the density drops into the range
and the
temperature fulfills
K at the same time the baryonic
composition is adjusted to account for the photo-disintegration of
nuclei and the recombination of free nucleons and
-particles
to
.
We distinguish between three different
regimes (I-III), separated by curves
in the
-T-plane (see Fig. B.1):
![]() |
Figure B.1:
Area in the |
| = | |||
| = | |||
| = | |||
| Xn+1k | = |
Nuclear transmutations release (or consume) nuclear binding energy. Consequences of this effect should be taken into account in the hydrodynamical simulation. Since our EoS defines the internal energy density such that contributions from nuclear rest masses are included, the conversion between nuclear binding energy and thermal energy will automatically lead to corresponding changes of the temperature, pressure, entropy etc. of the stellar gas.
The factors
,
and
are
equal to unity in the corresponding regions I, II or III, respectively
of the
-T-plane but vary between 0 and 1 at the boundary
curves (Eqs. (B.2), (B.3)). This means that
the composition changes take place only on the curves
and
.
The degree of dissociation or
recombination (expressed by the values
)
is limited by
the available internal energy.
Starting out with given internal energy density (at a fixed value of
)
and taking into account temperature variations due to changes
of the nuclear composition, the numerical algorithm maximizes
,
or
,
while keeping the
temperature on the boundary curves until the dissociation or
recombination is complete.
Copyright ESO 2002