Apr 7 – 10, 2019
Imperial College London
Europe/London timezone

Non-parametric Bayesian event reconstruction in Super-Kamiokande detector

Apr 10, 2019, 11:15 AM
15m
Huxley 340 (Imperial College London)

Huxley 340

Imperial College London

Speaker

Artur Sztuc (Imperial College London)

Description

We present a method for non-parametric, Bayesian neutrino event reconstruction for the Super-Kamiokande detector. Particle properties are determined in a way where the number of Cherenkov rings to be reconstructed, and therefore the number of parameters, is one of the unknowns. We discuss Bayesian model selection with Markov Chain Monte Carlo, future scalability and the issues surrounding non-parametric Bayesian reconstruction in Water Cherenkov detectors. We also briefly discuss the application of Bayesian methods in other contexts within T2K and Super-Kamiokande.

Presentation materials