DECAL: A Reconfigurable Monolithic Active Pixel Sensor for Tracking and Calorimetry in a 180 nm Image Sensor Process by Philip Patrick Allport, Seddik Benhammadi, Robert Ross Bosley, Jens Dopke, Lucian Fasselt, Samuel Flynn, Laura Gonella, Nicola Guerrini, Cigdem Issever, Kostas Nikolopoulos, Ioannis Kopsalis, Peter Philips, Tony Price, Iain Sedgwick, Giulio Villani, Matt Warren, Nigel Watson, Hannsjorg Weber, Alasdair Winter, Fergus Wilson, Steven Worm, Zhige Zhang

“…In this paper, we describe DECAL, a prototype Monolithic Active Pixel Sensor (MAPS) device designed to demonstrate the feasibility of both digital calorimetry and reconfigurability in ASICs for particle physics. The goal of this architecture is to help reduce the development and manufacturing costs of detectors for future colliders by developing a chip that can operate both as a digital silicon calorimeter and a tracking chip. …”
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Measurements with silicon photomultipliers of dose-rate effects in the radiation damage of plastic scintillator tiles in the CMS hadron endcap calorimeter by The CMS Collaboration

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Monte Carlo modelling of a prototype small-body portable graphite calorimeter for ultra-high dose rate proton beams by John Cotterill, Sam Flynn, Russell Thomas, Anna Subiel, Nigel Lee, David Shipley, Hugo Palmans, Ana Lourenço

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Noble Liquid Calorimetry for FCC-ee by Nicolas Morange

“…Noble liquid calorimeters have been successfully used in particle physics experiments for decades. …”
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A Burn-in Test Station for the ATLAS Phase-II Tile-Calorimeter Low-Voltage Power Supply Transformer-Coupled Buck Converters by Ryan Peter Mckenzie

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Photoproduction of Axionlike Particles by Aloni, Daniel, Fanelli, Cristiano, Soreq, Yotam, Williams, Mike

“…Published by the American Physical Society. We explore the sensitivity of photon-beam experiments to axionlike particles (ALPs) with QCD-scale masses whose dominant coupling to the standard model is either to photons or gluons. …”
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Bio-Based Phosphate-Containing Polyester for Improvement of Fire Reaction in Wooden Particleboard by Ingemar Svensson, Amaia Butron, Maddalen Puyadena, Alba González, Lourdes Irusta, Aitor Barrio

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Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors by Joosep Pata, Eric Wulff, Farouk Mokhtar, David Southwick, Mengke Zhang, Maria Girone, Javier Duarte

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Probing Higgs boson production at the high momentum frontier using H → bb̄ decays by Celli, F

A measurement of the calorimeter response to single hadrons and determination of the jet energy scale uncertainty using LHC Run-1 pp-collision data with the ATLAS detector. by Aaboud, M, Aad, G, Abbott, B, Artoni, G, Barr, A, Becker, A, Beresford, L, Bortoletto, D, Burr, J, Cooper-Sarkar, A, Crispin Ortuzar, M, Fawcett, W, Frost, J, Gallas, E, Giuli, F, Gupta, S, Gwenlan, C, Hays, C, Henderson, J, Huffman, B, Issever, C, Kalderon, C, Nagai, K, Nickerson, R, Norjoharuddeen, N, Petrov, M, Pickering, M, Radescu, V, Tseng, J, Viehhauser, G, Vigani, L, Weidberg, A, Zhong, J, ATLAS Collaboration

“…After accounting for energy deposited by neutral particles, there is a 5% discrepancy in the modelling, using various sets of Geant4 hadronic physics models, of the calorimeter response to isolated charged hadrons in the central calorimeter region. …”

The (Un)reasonable Effectiveness of Neural Network in Cherenkov Calorimetry by Nural Akchurin, Christopher Cowden, Jordan Damgov, Adil Hussain, Shuichi Kunori

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Development of an MCP-Based Timing Layer for the LHCb ECAL Upgrade-2 by Stefano Perazzini, Fabio Ferrari, Vincenzo Maria Vagnoni, on behalf of the LHCb ECAL Upgrade-2 R&D Group

“…According to LHCb simulation studies, resolutions of about 10–20 picoseconds, at least an order of magnitude shorter than the average time span between primary interactions, would be greatly beneficial for the physics reach of the experiment. Microchannel plate (MCP) photomultipliers are compact devices capable of measuring the arrival time of charged particles with the required resolution. …”
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Probing axion-like particles at the Electron-Ion Collider by Reuven Balkin, Or Hen, Wenliang Li, Hongkai Liu, Teng Ma, Yotam Soreq, Mike Williams

“…Abstract The Electron-Ion Collider (EIC), a forthcoming powerful high-luminosity facility, represents an exciting opportunity to explore new physics. In this article, we study the potential of the EIC to probe the coupling between axion-like particles (ALPs) and photons in coherent scattering. …”
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Machine learning applications and observation of Higgs boson decays into a pair of bottom quarks with the ATLAS detector by Tosciri, C

“…<p>The discovery in 2012 of the Higgs boson at the Large Hadron Collider (LHC) represents a milestone for the Standard Model (SM) of particle physics. Most of the SM Higgs production and decay rates have been measured at the LHC with increased precision.…”

Theoretical model for further development of intumescent substances to remediate smoldering in wood fiber insulation panels by Pablo Guindos, Gaspar Auad, Torsten Kolb

“…Although wooden insulation materials are very competitive as insulators, its use is not permitted in several countries beyond mid-rise buildings due to smoldering hazard. As measuring of physical parameters is difficult and expensive at high temperatures, the objective of this investigation was to develop a theoretical model that comprises most relevant physical phenomena in order to serve as a supportive tool for further development of fire-retardant substances. …”
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Prospects for the measurement of the Higgs Yukawa couplings to b and c quarks, and muons at CLIC by Christian Grefe, Tomáš Laštovička, Jan Strube

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Particle-flow reconstruction and global event description with the CMS detector by The CMS Collaboration

“…The CMS apparatus was identified, a few years before the start of the LHC operation at CERN, to feature properties well suited to particle-flow (PF) reconstruction: a highly-segmented tracker, a fine-grained electromagnetic calorimeter, a hermetic hadron calorimeter, a strong magnetic field, and an excellent muon spectrometer. …”
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Reconstructing particles in jets using set transformer and hypergraph prediction networks by Francesco Armando Di Bello, Etienne Dreyer, Sanmay Ganguly, Eilam Gross, Lukas Heinrich, Anna Ivina, Marumi Kado, Nilotpal Kakati, Lorenzo Santi, Jonathan Shlomi, Matteo Tusoni

“…We deploy three separate set-to-set neural network architectures to reconstruct particles in events containing a single jet in a fully-simulated calorimeter. …”
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Reconstructing axion-like particles from beam dumps with simulation-based inference by Alessandro Morandini, Torben Ferber, Felix Kahlhoefer

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Electron reconstruction in simulated Pb+Pb events in CMS by Chen, Yi, S.B. Massachusetts Institute of Technology

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