19–21 May 2025
University of Pittsburgh
US/Eastern timezone

Predicting the Diffuse Supernova Neutrino Background

19 May 2025, 17:00
15m
David Lawrence Hall 104, University of Pittsburgh

David Lawrence Hall 104, University of Pittsburgh

Astro-Particle Physics Astro-particle

Speaker

Andrew Caruso (Virginia Tech)

Description

We predict the expected flux of anti-electron flavor neutrinos in the diffuse supernova neutrino background (DSNB) with the inclusion of both failed and successful supernovae and binary stellar systems. Using simulations from the Garching Core-collapse Supernova Archive of single star progenitors and their neutrino energy spectra for a variety of explosion models, we determine an optimal criterion to determine which progenitors yield failed or successful supernovae. By synthesizing the binary stars and applying the optimized criterion, we can distinguish failed and successful supernovae and thereafter compute the expected flux of the DSNB from their contribution across multiple binary synthesis models. Our results extend previous predictions by incorporating failed supernovae and improving the collective endeavor to model the DSNB relevant for detection at the Super-Kamiokande gadolinium-doped experiment.

Author

Andrew Caruso (Virginia Tech)

Co-authors

Shunsaku Horiuchi Prof. Tomoya Kinugawa (ICRR, University of Tokyo) Prof. Volodymyr Takhistov (QUP, KEK)

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