GridFire can now support unity builds. This is useful for python
bindings. The main limitation is that openssl (a dependency of
libplugin) does not support unity builds. Therefore when building in a
unity build libplugin must be disabled. This is done with the
-Dunity-safe=ture flag at setup time
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 there was a bug where some reverse reactions were being
classed as forward reactions. This results in a failure of many
timesteps due to the reverse reactions very high molar flows
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.
Sometimes it is useful to pause execution with an exception while
debugging (though bad practice in production code). This is an explicit
exception type dedicated to that purpose. Further we have included some
compile time checks to ensure that these do not get used in release
builds.
FOr QSE solving the Jacobian does not change meaninfully between steps.
We have introduced caching so that it does not need to be reevaluated
every step
