Journal article
Shower Separation in Five Dimensions for Highly Granular Calorimeters using Machine Learning
Journal of instrumentation : an IOP and SISSA journal, Vol.19(10), P10027
10/24/2024
DOI: 10.1088/1748-0221/19/10/P10027
Abstract
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 separate energy deposits from charged and neutral particles. Three published neural network-based shower separation models were applied to simulation and experimental data to measure the performance of the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL) technological prototype in distinguishing the energy deposited by a single charged and single neutral hadron for Particle Flow. The performance of models trained using only standard spatial and energy and charged track position information from an event was compared to models trained using timing information available from AHCAL, which is expected to improve sensitivity to shower development and, therefore, aid in clustering. Both simulation and experimental data were used to train and test the models and their performances were compared. The best-performing neural network achieved significantly superior event reconstruction when timing information was utilised in training for the case where the charged hadron had more energy than the neutral one, motivating temporally sensitive calorimeters. All models under test were observed to tend to allocate energy deposited by the more energetic of the two showers to the less energetic one. Similar shower reconstruction performance was observed for a model trained on simulation and applied to data and a model trained and applied to data.
Details
- Title: Subtitle
- Shower Separation in Five Dimensions for Highly Granular Calorimeters using Machine Learning
- Creators
- S LaiJ UtehsA WilhahnM.C FouzO BachE Brianne - Max Planck SocietyA Ebrahimi - Universität HamburgK Gadow - University of Hassan II CasablancaP Göttlicher - University of CambridgeO Hartbrich - Max Planck SocietyD Heuchel - Northern Illinois UniversityA Irles - Université Paris CitéK KrügerJ Kvasnicka - Argonne National LaboratoryS Lu - Kyungpook National UniversityC Neubüser - University of Hassan II CasablancaA Provenza - Max Planck SocietyM Reinecke - University of CambridgeF Sefkow - University of Hassan II CasablancaS Schuwalow - Max Planck SocietyM de SilvaY Sudo - University of Hassan II CasablancaH.L TranL LiuR MasudaT Murata - Ehime UniversityW Ootani - The University of TokyoT SeinoT TakatsuN TsujiR Pöschl - Université Paris-SaclayF Richard - Université Paris CitéD Zerwas - Laboratoire de Physique des 2 Infinis Irène Joliot-CurieF Hummer - Laboratoire de Physique des 2 Infinis Irène Joliot-CurieF Simon - Laboratoire de Physique des 2 Infinis Irène Joliot-CurieV Boudry - Laboratoire Leprince-RinguetJ-C Brient - École PolytechniqueJ Nanni - Institut Polytechnique de ParisH Videau - École PolytechniqueE BuhmannE Garutti - Universität HamburgS HuckG Kasieczka - Universität HamburgS Martens - Northern Illinois UniversityJ RolphJ WellhausenB Bilki - University of Iowa, Physics and AstronomyD Northacker - University of IowaYasar Onel - University of Iowa, Physics and AstronomyL Emberger - Max Planck Institute for PhysicsC Graf - Max Planck Institute for PhysicsCALICE collaboration
- Resource Type
- Journal article
- Publication Details
- Journal of instrumentation : an IOP and SISSA journal, Vol.19(10), P10027
- DOI
- 10.1088/1748-0221/19/10/P10027
- ISSN
- 1748-0221
- Publisher
- IOP Publishing
- Grant note
- CERN managementBMBF via the High-D consortiumDeutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy: EXC 2121, 390833306
3We would like to thank the technicians and the engineers who contributed to the design and construction of the CALICE AHCAL prototype detector. We also gratefully acknowledge the CERN management for its support and hospitality and its accelerator staff for the reliable and efficient operation of the test beam. The authors acknowledge the support from the BMBF via the High-D consortium. This work is supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy, EXC 2121, Quantum Universe (390833306).
- Language
- English
- Date published
- 10/24/2024
- Academic Unit
- Physics and Astronomy
- Record Identifier
- 9984746456402771
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