2 papers
hep-ph2026
Analytical and Machine Learning Methods for Model Discernment at CENS Experiments
Iain A. Bisset, Bhaskar Dutta, Doojin Kim +2
Neutrino experiments are often limited by low statistics, sizable systematic uncertainties, and coarse observable binning, which can hinder discrimination among competing beyond-th…
hep-ph2024
Prospects for measuring time variation of astrophysical neutrino sources at dark matter detectors
Yi Zhuang, Louis E. Strigari, Lei Jin +1
We study the prospects for measuring the time variation of solar and atmospheric neutrino fluxes at future large-scale Xenon and Argon dark matter detectors. For solar neutrinos, a…