GridFire failed to compile on gcc and gnu stdlibc++ this has been
resolved. Further, the boost dependency has been removed since we no
longer use boost at all. This should dramatically simplify installation.
Finally we have added some build system checks to ensure that the
correct version of a C++ and fortran compiler are present on the system
Neutrino loss is essential for neutrino cooling. Started adding
framework to track this. Reaclib reactions use a simple heuristic where
electron capture reactions loss 100% of their energy to neutrinos
whereas beta decay reactions loose 50% of their energy to neutrinos
Building of the C API GridFire can now be used from fotran using the
gridfire_mod fortran module. This exposes the same, limited, set of
funcitonality that the C API does.
Python bindings have now been brought back up to feature pairity with
C++. Further, stubs have been added for all python features so that code
completion will work
Previously QSE solving was done using Eigen. While this worked we were
limited in the ability to use previous iterations to speed up later
steps. We have switched to KINSOL, from SUNDIALS, for linear solving.
This has drastically speed up the process of solving for QSE abundances,
primarily because the jacobian matrix does not need to be generated
every single time time a QSE abundance is requested.
This entailed a major rewrite of the composition handling from each engine and engine view along with the solver and primer. The intent here is to let Compositions be constructed from the same extensive property which the solver tracks internally. This addressed C0 discontinuity issues in the tracked molar abundances of species which were introduced by repeadidly swaping from molar abundance space to mass fraction space and back. This also allowed for a simplification of the primeNetwork method. Specifically the mass borrowing system was dramatically simplified as molar abundances are extensive.
Mirroring what was done in fourdst (see fourdst/tree/v0.8.5) we have added a temporary patch to let python bindings work on mac while the meson-python folks resolve the duplicate rpath issue in the shared object file
Added new ways to select exactly what types of reactions (strong, beta+, beta-, electron capture, positron capture, or any combination thereof) can be turned on at network construction time. There are a few quality of life masks added as well such as weak which addes all weak type reactions, and all which adds weak + strong reactions. The default is to just add strong reactions for now.
All jacobian calculations were broken because the indexing used to record the AD tape was broken (see not parallel to) the indexing used by the composition object. A fix for this was to sort the network species by mass. However, more generally we should introduce a mechanism to ensure these two indexed sets always remain parallel
bigs were introduced by the interface change from accepting raw molar abundance vectors to using the composition vector. This commit resolves many of these, including preformant ways to report that a species is not present in the composition and unified index lookups using composition object tooling.
BREAKING CHANGE:
Major weak rate progress which includes: A refactor of many of the public interfaces for GridFire Engines to use composition objects as opposed to raw abundance vectors. This helps prevent index mismatch errors. Further, the weak reaction class has been expanded with the majority of an implimentation, including an atomic_base derived class to allow for proper auto diff tracking of the interpolated table results. Some additional changes are that the version of fourdst and libcomposition have been bumped to versions with smarter caching of intermediate vectors and a few bug fixes.
Fized stoichiometry matrix initialization, added penames to reablib reactions, began work on LogicalReaction to sum the contributions of different fitting functions provided by reaclib
