TY - JOUR
T1 - SNEWPY
T2 - A Data Pipeline from Supernova Simulations to Neutrino Signals
AU - Baxter, Amanda L.
AU - Benzvi, Segev
AU - Jaimes, Joahan Castaneda
AU - Coleiro, Alexis
AU - Molla, Marta Colomer
AU - Dornic, Damien
AU - Goldhagen, Tomer
AU - Graf, Anne
AU - Griswold, Spencer
AU - Habig, Alec
AU - Hill, Remington
AU - Horiuchi, Shunsaku
AU - Kneller, James P.
AU - Lang, Rafael F.
AU - Lincetto, Massimiliano
AU - Migenda, Jost
AU - Nakamura, Ko
AU - O'Connor, Evan
AU - Renshaw, Andrew
AU - Scholberg, Kate
AU - Tunnell, Christopher
AU - Uberoi, Navya
AU - Worlikar, Arkin
N1 - Publisher Copyright:
© 2022. The Author(s). Published by the American Astronomical Society.
PY - 2022/2/1
Y1 - 2022/2/1
N2 - Current neutrino detectors will observe hundreds to thousands of neutrinos from Galactic supernovae, and future detectors will increase this yield by an order of magnitude or more. With such a data set comes the potential for a huge increase in our understanding of the explosions of massive stars, nuclear physics under extreme conditions, and the properties of the neutrino. However, there is currently a large gap between supernova simulations and the corresponding signals in neutrino detectors, which will make any comparison between theory and observation very difficult. SNEWPY is an open-source software package that bridges this gap. The SNEWPY code can interface with supernova simulation data to generate from the model either a time series of neutrino spectral fluences at Earth, or the total time-integrated spectral fluence. Data from several hundred simulations of core-collapse, thermonuclear, and pair-instability supernovae is included in the package. This output may then be used by an event generator such as sntools or an event rate calculator such as the SuperNova Observatories with General Long Baseline Experiment Simulator (SNOwGLoBES). Additional routines in the SNEWPY package automate the processing of the generated data through the SNOwGLoBES software and collate its output into the observable channels of each detector. In this paper we describe the contents of the package, the physics behind SNEWPY, the organization of the code, and provide examples of how to make use of its capabilities.
AB - Current neutrino detectors will observe hundreds to thousands of neutrinos from Galactic supernovae, and future detectors will increase this yield by an order of magnitude or more. With such a data set comes the potential for a huge increase in our understanding of the explosions of massive stars, nuclear physics under extreme conditions, and the properties of the neutrino. However, there is currently a large gap between supernova simulations and the corresponding signals in neutrino detectors, which will make any comparison between theory and observation very difficult. SNEWPY is an open-source software package that bridges this gap. The SNEWPY code can interface with supernova simulation data to generate from the model either a time series of neutrino spectral fluences at Earth, or the total time-integrated spectral fluence. Data from several hundred simulations of core-collapse, thermonuclear, and pair-instability supernovae is included in the package. This output may then be used by an event generator such as sntools or an event rate calculator such as the SuperNova Observatories with General Long Baseline Experiment Simulator (SNOwGLoBES). Additional routines in the SNEWPY package automate the processing of the generated data through the SNOwGLoBES software and collate its output into the observable channels of each detector. In this paper we describe the contents of the package, the physics behind SNEWPY, the organization of the code, and provide examples of how to make use of its capabilities.
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U2 - 10.3847/1538-4357/ac350f
DO - 10.3847/1538-4357/ac350f
M3 - Article
AN - SCOPUS:85125849560
SN - 0004-637X
VL - 925
JO - Astrophysical Journal
JF - Astrophysical Journal
IS - 2
M1 - 107
ER -