Analytic approach to axion-like-particle emission in core-collapse supernovae

TL;DR

This paper presents an analytic framework to evaluate how axion-like-particle emission influences neutrino signals in core-collapse supernovae, providing a computational tool for future research.

Contribution

It introduces a simple analytic model for ALP emission in supernovae and provides a publicly available Python package for calculating related observables.

Findings

ALP emission can significantly alter neutrino luminosities and energies.

The ARtiSANS package enables flexible computation of supernova neutrino and axion signals.

The model facilitates exploring ALP effects across different supernova parameters.

Abstract

We investigate the impact of a presumed axion-like-particle (ALP) emission in a core-collapse supernova explosion on neutrino luminosities and mean energies employing a relatively simple analytic description. We compute the nuclear Bremsstrahlung and Primakoff axion luminosities as functions of the protoneutron star (PNS) parameters and discuss how the ALP luminosities compete with the neutrino emission, modifying the total PNS thermal energy dissipation. Our results are publicly available in the python package ARtiSANS, which can be used to compute the neutrino and axion observables for different choices of parameters.