Design and performance of the calorimeter system for ALLEGRO FCC-ee detector concept [PDF]
EPJ Web of ConferencesThe future circular electron-positron collider (FCC-ee) will be a unique precision instrument designed to o↵er great direct and indirect sensitivity to new physics. Its primary purpose will be to study the heaviest known particles (Z, W, and H bosons and
Mlynarikova Michaela
doaj +2 more sources
High-performance electromagnetic calorimeter with oriented crystals to open new pathways in particle and astroparticle physics [PDF]
Frontiers in SensorsProgress in high-energy physics has long relied on electromagnetic calorimeters–total absorption devices used to measure the energy of electrons and photons.
L. Bandiera +41 more
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Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter [PDF]
Sensors, 2023 The Compact Muon Solenoid (CMS) experiment is a general-purpose detector for high-energy collision at the Large Hadron Collider (LHC) at CERN. It employs an online data quality monitoring (DQM) system to promptly spot and diagnose particle data ...
Mulugeta Weldezgina Asres +14 more
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Porting ATLAS Fast Calorimeter Simulation to GPUs with Performance Portable Programming Models [PDF]
EPJ Web of ConferencesFastCaloSim is a parameterized simulation of the particle energy response and of the energy distribution in the ATLAS calorimeter. It is a relatively small and self-contained package with massive inherent parallelism and captures the essence of GPU ...
Atif Mohammad +4 more
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Paraflow: fast calorimeter simulations parameterized in upstream material configurations
European Physical Journal C: Particles and FieldsWe study whether machine-learning models for fast calorimeter simulations can learn meaningful representations of calorimeter signatures that account for variations in the full particle detector’s configuration.
Johannes Erdmann +3 more
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Search for new physics in the Compact Muon Solenoid (CMS) experiment and the response of the CMS calorimeters to particles and jets [PDF]
, 2008 Kazım Gümüş
openaire +3 more sources
Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN [PDF]
INTERNATIONAL WORKSHOP ON MACHINE LEARNING AND QUANTUM COMPUTING APPLICATIONS IN MEDICINE AND PHYSICS: WMLQ2022, 2023 Currently, over half of the computing power at CERN GRID is used to run High Energy Physics simulations. The recent updates at the Large Hadron Collider (LHC) create the need for developing more efficient simulation methods. In particular, there exists a
Jan Dubi'nski +4 more
semanticscholar +1 more source
Study of residual artificial neural network for particle identification in the CEPC high-granularity calorimeter prototype [PDF]
Journal of Instrumentation, 2023 Particle Identification (PID) plays a central role in associating the energy depositions in calorimeter cells with the type of primary particle in a particle flow oriented detector system. In this paper, we propose novel PID methods based on the Residual
Siyuan Song +8 more
semanticscholar +1 more source
Particle flow with a hybrid segmented crystal and fiber dual-readout calorimeter [PDF]
Journal of Instrumentation, 2022 In the reconstruction of physics events at future e+e- colliders the calorimeter design has a crucial role in the overall detector performance. The reconstruction of events with many jets in their final state sets stringent requirements on the jet energy
M. Lucchini +3 more
semanticscholar +1 more source
Graph Variational Autoencoder for Detector Reconstruction and Fast Simulation in High-Energy Physics [PDF]
EPJ Web of Conferences, 2021 Accurate and fast simulation of particle physics processes is crucial for the high-energy physics community. Simulating particle interactions with the detector is both time consuming and computationally expensive.
Hariri Ali +2 more
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