SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals

TL;DR

SNEWPY is an open-source software that connects supernova simulation data to neutrino detector signals, enabling better comparison between theoretical models and observations for various types of supernovae.

Contribution

It introduces a comprehensive, open-source pipeline that converts supernova simulation outputs into neutrino signals for detectors, bridging a critical gap in supernova neutrino research.

Findings

Includes data from hundreds of supernova simulations

Automates data processing for neutrino signal prediction

Facilitates comparison between models and observations

Abstract

Current neutrino detectors will observe hundreds to thousands of neutrinos from a 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 which 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 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.