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Development of the ATLAS Liquid Argon Calorimeter Readout Electronics and Machine Learning for the HL-LHC
The High Luminosity era of the Large Hadron Collider (LHC) starting in 2029 promises exciting discovery potential, giving unprecedented precision on key new physics models and characterization of the Higgs boson. In order to maintain current performance in this challenging environment, the ATLAS Liq...
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Lenguaje: | eng |
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2022
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Acceso en línea: | http://cds.cern.ch/record/2810535 |
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author | Gonski, Julia Lynne |
author_facet | Gonski, Julia Lynne |
author_sort | Gonski, Julia Lynne |
collection | CERN |
description | The High Luminosity era of the Large Hadron Collider (LHC) starting in 2029 promises exciting discovery potential, giving unprecedented precision on key new physics models and characterization of the Higgs boson. In order to maintain current performance in this challenging environment, the ATLAS Liquid Argon electromagnetic calorimeter will get an entirely new readout that reads out the entire detector with full precision at the LHC frequency of 40 MHz, and provides high granularity trigger information, while withstanding high operational radiation doses. New results will be presented from both front-end and off-detector component development, along with highlights from machine learning applications. The future steps and outlook of the project will be discussed, with an eye towards installation in the ATLAS cavern beginning in 2026. |
id | cern-2810535 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2022 |
record_format | invenio |
spelling | cern-28105352022-08-22T07:45:25Zhttp://cds.cern.ch/record/2810535engGonski, Julia LynneDevelopment of the ATLAS Liquid Argon Calorimeter Readout Electronics and Machine Learning for the HL-LHCParticle Physics - ExperimentThe High Luminosity era of the Large Hadron Collider (LHC) starting in 2029 promises exciting discovery potential, giving unprecedented precision on key new physics models and characterization of the Higgs boson. In order to maintain current performance in this challenging environment, the ATLAS Liquid Argon electromagnetic calorimeter will get an entirely new readout that reads out the entire detector with full precision at the LHC frequency of 40 MHz, and provides high granularity trigger information, while withstanding high operational radiation doses. New results will be presented from both front-end and off-detector component development, along with highlights from machine learning applications. The future steps and outlook of the project will be discussed, with an eye towards installation in the ATLAS cavern beginning in 2026.ATL-LARG-SLIDE-2022-186oai:cds.cern.ch:28105352022-05-25 |
spellingShingle | Particle Physics - Experiment Gonski, Julia Lynne Development of the ATLAS Liquid Argon Calorimeter Readout Electronics and Machine Learning for the HL-LHC |
title | Development of the ATLAS Liquid Argon Calorimeter Readout Electronics and Machine Learning for the HL-LHC |
title_full | Development of the ATLAS Liquid Argon Calorimeter Readout Electronics and Machine Learning for the HL-LHC |
title_fullStr | Development of the ATLAS Liquid Argon Calorimeter Readout Electronics and Machine Learning for the HL-LHC |
title_full_unstemmed | Development of the ATLAS Liquid Argon Calorimeter Readout Electronics and Machine Learning for the HL-LHC |
title_short | Development of the ATLAS Liquid Argon Calorimeter Readout Electronics and Machine Learning for the HL-LHC |
title_sort | development of the atlas liquid argon calorimeter readout electronics and machine learning for the hl-lhc |
topic | Particle Physics - Experiment |
url | http://cds.cern.ch/record/2810535 |
work_keys_str_mv | AT gonskijulialynne developmentoftheatlasliquidargoncalorimeterreadoutelectronicsandmachinelearningforthehllhc |