Interactive Network Exploration with pynucastro

This notebook shows off the interactive RateCollection network plot.

You must have widgets enabled, e.g., via:

jupyter nbextension enable --py --user widgetsnbextension

for a user install or

jupyter nbextension enable --py --sys-prefix widgetsnbextension

for a system-wide installation



In [1]:

    
%matplotlib inline



In [2]:

    
import pynucastro as pyrl

This collection of rates has the main CNO rates plus a breakout rate into the hot CNO cycle



In [3]:

    
files = ["c12-pg-n13-ls09", 
         "c13-pg-n14-nacr",
         "n13--c13-wc12",
         "n13-pg-o14-lg06",
         "n14-pg-o15-im05",
         "n15-pa-c12-nacr",
         "o14--n14-wc12",
         "o15--n15-wc12",
         "o14-ap-f17-Ha96c",
         "f17-pg-ne18-cb09",
         "ne18--f18-wc12",
         "f18-pa-o15-il10"]
rc = pyrl.RateCollection(files)

To evaluate the rates, we need a composition. This is defined using a list of Nuceli objects.



In [4]:

    
comp = pyrl.Composition(rc.get_nuclei())
comp.set_solar_like()

Interactive exploration is enabled through the Explorer class, which takes a RateCollection and a Composition



In [5]:

    
re = pyrl.Explorer(rc, comp)
re.explore()



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