PoS - Proceedings of Science
Volume 414 - 41st International Conference on High Energy physics (ICHEP2022) - Poster Session
A pure probabilistic approach to event reconstruction at JUNO
X. Liu
Full text: pdf
Pre-published on: January 07, 2023
Published on:
Abstract
We propose a novel probabilistic model for the reconstruction of point-source events, with the dependence of scintillation light time response curve on the number of photoelectrons deduced from first principles. It follows naturally from the time response curve and is unbiased.
The Jiangmen Underground Neutrino Observatory (JUNO) detector is 20 kton underground liquid scintillator detector, with the primary physics goal of determining the neutrino mass hierarchy. At JUNO, the model is applicable to small photomultipliers with first photoelectron time and charge integration readouts, but can also be used for fast reconstruction using large photomultipliers with waveform readouts. We evaluate the performance based on JUNO Monte Carlo simulations.
DOI: https://doi.org/10.22323/1.414.0977
How to cite

Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in "proceeding" format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.