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SNEWPY: Supernova Neutrino Early Warning Models for Python

Posted: Wed Sep 29, 2021 10:51 pm
by Ada Coda
SNEWPY: Supernova Neutrino Early Warning Models for Python

Abstract: SNEWPY uses simulated supernovae data to generate a time series of neutrino spectral fluences at Earth or the total time-integrated spectral fluence. The code can also process generated data through SNOwGLoBES (ascl:2109.019) and collate its output into the observable channels of each detector. Data from core-collapse, thermonuclear, and pair-instability supernovae simulations are included in the package.

Credit: Migenda, Jost; Kneller, James P.; O'Connor, Evan; BenZvi, Segev; Uberoi, Navya; Colomer Molla, Marta

Site: https://github.com/SNEWS2/snewpy
https://ui.adsabs.harvard.edu/abs/2021arXiv210913242G

Bibcode: 2021ascl.soft09020M

ID: ascl:2109.020