Low-energy event physics with the T2K neutrino detector SuperFGD and global neutrino data fitting with GAMBIT

The field of neutrino oscillation physics has yielded numerous significant results in recent decades. The Japan-based long-baseline accelerator neutrino oscillation Tokai-to-Kamioka (T2K) experiment, renowned for its contributions to accelerator neutrino oscillation studies, is undergoing several upgrades to further advance high-impact measurements. Among the newly constructed subdetectors of the T2K off-axis near detector ND280 is the Super Fine-Grained Detector (SuperFGD), which was installed in 2023. It is a high-resolution particle tracker that is made up of approximately two million plastic scintillating cubes. Its novel design allows the detector to measure neutrino interactions with high precision, an essential key to reducing uncertainties of current and future neutrino experiments. This thesis includes a brief summary of the SuperFGD design and the related calibration tasks. In particular, the charge and pedestal calibration for the Multi-Pixel Photon Counters (MPPCs) are described in detail. A neural network based on a Transformer architecture developed for general voxelised 3D detectors was utilised to increase calibration tolerance. Finally, this thesis presents the development of a Standard Model three-neutrino oscillation global fit study within the GAMBIT software framework, where the incorporation of the likelihood functions of the NO$\nu$A, MINOS, and KamLAND experiments are detailed. Their validation results demonstrate good agreement with the experimental counterparts, but the limited public data and experiment information negatively affect the accuracy of the implementations. A preliminary scan, which included eight neutrino oscillation experiments that covered a wide range of measurement technologies, was also performed. In general, the early results are consistent with the existing neutrino global fits, and some noticeable deviations are discussed.

Institutions

Publication Details

Journal
Imperial College Research Computing Service Data Repository
Published
2024-09-30
DOI
https://doi.org/10.25560/119746
Primary Topic
Advanced Graph Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low-energy event physics with the T2K neutrino detector SuperFGD and global neutrino data fitting with GAMBIT

Imperial College Research Computing Service Data Repository
Advanced Graph Neural Networks
article

Low-energy event physics with the T2K neutrino detector SuperFGD and global neutrino data fitting with GAMBIT

article en

Abstract

The field of neutrino oscillation physics has yielded numerous significant results in recent decades. The Japan-based long-baseline accelerator neutrino oscillation Tokai-to-Kamioka (T2K) experiment, renowned for its contributions to accelerator neutrino oscillation studies, is undergoing several upgrades to further advance high-impact measurements. Among the newly constructed subdetectors of the T2K off-axis near detector ND280 is the Super Fine-Grained Detector (SuperFGD), which was installed in 2023. It is a high-resolution particle tracker that is made up of approximately two million plastic scintillating cubes. Its novel design allows the detector to measure neutrino interactions with high precision, an essential key to reducing uncertainties of current and future neutrino experiments. This thesis includes a brief summary of the SuperFGD design and the related calibration tasks. In particular, the charge and pedestal calibration for the Multi-Pixel Photon Counters (MPPCs) are described in detail. A neural network based on a Transformer architecture developed for general voxelised 3D detectors was utilised to increase calibration tolerance. Finally, this thesis presents the development of a Standard Model three-neutrino oscillation global fit study within the GAMBIT software framework, where the incorporation of the likelihood functions of the NO$\nu$A, MINOS, and KamLAND experiments are detailed. Their validation results demonstrate good agreement with the experimental counterparts, but the limited public data and experiment information negatively affect the accuracy of the implementations. A preliminary scan, which included eight neutrino oscillation experiments that covered a wide range of measurement technologies, was also performed. In general, the early results are consistent with the existing neutrino global fits, and some noticeable deviations are discussed.

Imperial College Research Computing Service Data Repository
Imperial College London (GB)
Affordable and clean energy
Openalex Percentile: Top 70%
Advanced Graph Neural Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Low-energy event physics with the T2K neutrino detector SuperFGD and global neutrino data fitting with GAMBIT · Imperial College Research Computing Service Data Repository (2024) | TGRS Research Map | TGRS