Using machine learning to separate Cherenkov and scintillation light in hybrid neutrino detector
A Bat - Journal of Instrumentation, 2024 - iopscience.iop.org
This research investigates the separation of Cherenkov and Scintillation light signals within
a simulated Water-based Liquid Scintillator (WbLS) detector, utilizing the XGBoost machine …
a simulated Water-based Liquid Scintillator (WbLS) detector, utilizing the XGBoost machine …
Machine Learning Techniques to Enhance Event Reconstruction in Water Cherenkov Detectors
N Prouse, P de Perio, W Fedorko - Physical Sciences Forum, 2023 - mdpi.com
Hyper-Kamiokande (Hyper-K) is the next-generation water Cherenkov neutrino experiment,
building on the success of its predecessor Super-Kamiokande. To match the increased …
building on the success of its predecessor Super-Kamiokande. To match the increased …
Predicting the masses of exotic hadrons with data augmentation using multilayer perceptron
H Bahtiyar - International Journal of Modern Physics A, 2023 - World Scientific
Recently, there have been significant developments in neural networks, which led to the
frequent use of neural networks in the physics literature. This work focuses on predicting the …
frequent use of neural networks in the physics literature. This work focuses on predicting the …
Comprehensive Machine Learning Model Comparison for Cherenkov and Scintillation Light Separation due to Particle Interactions
The demand for novel detector mediums such as Water-based Liquid Scintillator (WbLS)
has increased over the last few decades due to their capability for both low energy particle …
has increased over the last few decades due to their capability for both low energy particle …
Constructing the Hyper-Kamiokande Computing Model in the Build Up to Data Taking
S King - EPJ Web of Conferences, 2024 - epj-conferences.org
Hyper-Kamiokande is a next-generation multi-purpose neutrino experiment with a primary
focus on constraining CP-violation in the lepton sector. It features a diverse science …
focus on constraining CP-violation in the lepton sector. It features a diverse science …
Enhanced Particle Classification in Water Cherenkov Detectors Using Machine Learning: Modeling and Validation With Monte Carlo Simulation Datasets
Abstract The Latin American Giant Observatory (LAGO) is a ground-based extended cosmic
rays observatory designed to study transient astrophysical events, the role of the …
rays observatory designed to study transient astrophysical events, the role of the …