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CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka +66
We present the results of the "Fast Calorimeter Simulation Challenge 2022" - the CaloChallenge. We study state-of-the-art generative models on four calorimeter shower datasets of i…
Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors
Roberto Moretti, Marco Rossi, Matteo Biassoni +6
The physics potential of massive liquid argon TPCs in the low-energy regime is still to be fully reaped because few-hits events encode information that can hardly be exploited by c…
Fast Simulation of a High Granularity Calorimeter by Generative Adversarial Networks
Gul Rukh Khattak, Sofia Vallecorsa, Federico Carminati +1
We present the 3DGAN for the simulation of a future high granularity calorimeter output as three-dimensional images. We prove the efficacy of Generative Adversarial Networks (GANs)…
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-…
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics
Dawit Belayneh, Federico Carminati, Amir Farbin +13
Using detailed simulations of calorimeter showers as training data, we investigate the use of deep learning algorithms for the simulation and reconstruction of particles produced i…
Tracking within Hadronic Showers in the CALICE SDHCAL prototype using a Hough Transform Technique
The CALICE Collaboration
The high granularity of the CALICE Semi-Digital Hadronic CALorimeter (SDHCAL) provides the capability to reveal the track segments present in hadronic showers. These segments are t…
Resistive Plate Chamber Digitization in a Hadronic Shower Environment
Z. Deng, Y. Li, Y. Wang +125
The CALICE Semi-Digital Hadron Calorimeter (SDHCAL) technological prototype is a sampling calorimeter using Glass Resistive Plate Chamber detectors with a three-threshold readout a…
First results of the CALICE SDHCAL technological prototype
V. Buridon, C. Combaret, L. Caponetto +118
The CALICE Semi-Digital Hadronic Calorimeter (SDHCAL) prototype, built in 2011, was exposed to beams of hadrons, electrons and muons in two short periods in 2012 on two different b…
Letter of Intent: The Precision IceCube Next Generation Upgrade (PINGU)
PINGU Collaboration
The Precision IceCube Next Generation Upgrade (PINGU) is a proposed low-energy in-fill array of the IceCube Neutrino Observatory. Leveraging technology proven with IceCube, PINGU w…
Energy Reconstruction Methods in the IceCube Neutrino Telescope
IceCube Collaboration, M. G. Aartsen, R. Abbasi +285
Accurate measurement of neutrino energies is essential to many of the scientific goals of large-volume neutrino telescopes. The fundamental observable in such detectors is the Cher…