SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals
A. J. Baxter, S. BenZvi, Joahan Castaneda Jaimes, A. Coleiro, Marta Colomer Molla, Damien Dornic, Spencer Griswold, Tomer Goldhagen, Anne Graf, A. Habig, Remington Hill, Shunsaku Horiuchi, James P. Kneller, M. Lamoureux, R. F. Lang, Massimiliano Lincetto, J. Migenda, McKenzie Myers, Evan O’Connor, A. Renshaw, K. Scholberg, A. Sheshukov, J. C-L. Tseng, C. Tunnell, Navya Uberoi, Arkin Worlikar
Abstract
Current neutrino detectors will observe hundreds to thousands of neutrinos from a Galactic supernova, and future detectors will increase this yield by an order of magnitude or more. With such neutrino data sets, the next Galactic supernova will significantly increase our understanding of the explosions of massive stars, nuclear physics under extreme conditions, and the fundamental properties of neutrinos. However, there is a gulf between supernova simulations and the corresponding signals in detectors, making comparisons between theory and observation, as well as between different detectors, very difficult. SNEWPY offers a unified interface for hundreds of supernova simulations, a large library of flux transformations on the way towards the detector, and an interface to SNOwGLoBES (Scholberg & SNOwGLoBES Contributors, 2021), allowing users to easily calculate and compare expected event rates from many supernova models in many different neutrino detectors.