Prospects for detecting generic fast-time features in the neutrino lightcurve of nearby supernovae in neutrino telescopes
Jakob Beise, Segev BenZvi, Spencer Griswold, Nora Valtonen-Mattila,, Erin O'Sullivan

TL;DR
This study assesses the ability of large neutrino telescopes to detect rapid variations in supernova neutrino signals, revealing insights into supernova dynamics and improving detection methods with enhanced light collection techniques.
Contribution
It introduces a Fourier-based analysis of supernova neutrino signals and evaluates detection prospects with current and future neutrino observatories, including wavelength shifters.
Findings
IceCube can detect strong modulations (>50%) in the Milky Way.
Future detectors like IceCube-Gen2 can sense weaker modulations (>20%) with wavelength shifters.
Fast-time feature properties can be measured with 7.0 Hz frequency and 17 ms time resolution.
Abstract
Neutrino emission offers a direct probe into the hydrodynamics and energy transport processes within a supernova. Fast-time variations in the neutrino luminosity and mean energy can provide insights into phenomena like turbulence, convection, and shock revival. In this paper, we explore the detection capabilities of large-volume neutrino telescopes such as the IceCube Neutrino Observatory and the planned IceCube-Gen2 detector in identifying generic fast-time features in the neutrino light curve. We also investigate the potential enhancement in detection sensitivity using wavelength shifters, which can improve light collection efficiency. By employing a Short-Time Fourier Transform analysis, we quantify the excess power in the frequency spectrum arising from fast-time modulations and compute the detection horizon for a range of generic models. We find that with IceCube we can already see…
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Taxonomy
TopicsAstrophysics and Cosmic Phenomena · Neutrino Physics Research · Dark Matter and Cosmic Phenomena
