Fast Bayesian inference for neutrino non-standard interactions at dark matter direct detection experiments

Multi-dimensional parameter spaces are commonly encountered in physics theories that go beyond the standard model. However, they often possess complicated posterior geometries that are expensive to traverse using techniques traditional to astroparticle physics. Several recent innovations, which are...

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Bibliographic Details

Published in:	Machine Learning: Science and Technology
Main Authors:	Dorian W P Amaral, Shixiao Liang, Juehang Qin, Christopher Tunnell
Format:	Article
Language:	English
Published:	IOP Publishing 2025-01-01
Subjects:	inference neutrinos normalising flows beyond standard model non-standard interactions machine learning
Online Access:	https://doi.org/10.1088/2632-2153/adb3ed