14 citations · 58 across the 12 of their papers we have counts for
12 papers · 1 filter
The Super Fine-Grained Detector for the T2K neutrino oscillation experiment
S. Abe, H. Alarakia-Charles, I. Alekseev +169
The magnetised near detector ND280 of the long-baseline neutrino experiment T2K has been upgraded to improve its detection performance and, consequently, enhance our understanding…
Introducing a Markov Chain-Based Time Calibration Procedure for Multi-Channel Particle Detectors: Application to the SuperFGD and ToF Detectors of the T2K Experiment
S. Abe, H. Alarakia-Charles, I. Alekseev +190
Inter-channel mis-synchronisation can be a limiting factor to the time resolution of high performance timing detectors with multiple readout channels and independent electronics un…
Shower Separation in Five Dimensions for Highly Granular Calorimeters using Machine Learning
S. Lai, J. Utehs, A. Wilhahn +48
To achieve state-of-the-art jet energy resolution for Particle Flow, sophisticated energy clustering algorithms must be developed that can fully exploit available information to se…
Software Compensation for Highly Granular Calorimeters using Machine Learning
S. Lai, J. Utehs, A. Wilhahn +61
A neural network for software compensation was developed for the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL). The neural network uses spatial and temporal event in…
SuperFGD prototype time resolution studies
I. Alekseev, T. Arihara, V. Baranov +87
The SuperFGD will be a part of the ND280 near detector of the T2K and Hyper Kamiokande projects, that will help to reduce systematic uncertainties related with neutrino flux and cr…
Particle Identification Using Boosted Decision Trees in the Semi-Digital Hadronic Calorimeter Prototype
D. Boumediene, A. Pingault, M. Tytgat +87
The CALICE Semi-Digital Hadronic CALorimeter (SDHCAL) prototype using Glass Resistive Plate Chambers as a sensitive medium is the first technological prototype of a family of high-…