📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Likelihood and Deep Learning Analysis of the electron neutrino event sample at Intermediate Water Cherenkov Detector (IWCD) of the Hyper-Kamiokande experiment (2024)

First Author: Mondal T

Attributed to: Enhancing water Cherenkov detector technology with machine learning techniques applied at a test beam experiment funded by Horizon Europe Guarantee

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.22323/1.476.0232

Publication URI: http://dx.doi.org/10.22323/1.476.0232

Type: Conference/Paper/Proceeding/Abstract