Python interfaces to the JINA reaclib nuclear reactions database. The main goal is to provide a parser for the reaclib format to produce either a callable python function for a rate or output the python code for a function that can be incorporated into a rate module.
For performance reasons, the common temperature factors needed by a
rate are stored in a
Tfactors object is passed
into each rate function to get the rate.
import reaclib r = reaclib.Rate("c13-pg-n14-nacr") # output python code for this rate print r.function_string() # evaluate this rate at T = 1.e9 K print r.eval(1.0e9)
Also see the Jupyter notebook: pyreaclib-examples.ipynb
This package requires
scipy: only needed for the example integrator
periodictable: needed to get Z from element symbol, necessary for sorting
matplotlib: needed for plotting the rate
networkx: for visualizing the network
output Fortran functions as an option
- integrate OpenACC support
output Cython code
return a polynomial fit to a rate in a given interval
create a Ydot() class that can both output dYdt[nucleus] and evaluate dYdt.
color the edges on the
RateCollectionplot according to which nuclear process they are (e.g., a,p), and add a legend showing the basics