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Including radiation damage effects in ATLAS Monte Carlo simulations: status and perspective

Signal reduction is the most important radiation damage effect on performance of silicon tracking detectors in ATLAS. Adjusting sensor bias voltage and detection threshold can help in mitigating the effects but it is important to have simulated data that reproduce the evolution of performance with t...

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Detalles Bibliográficos
Autores principales: Bomben, Marco, ATLAS Pixel Collaboration
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:http://cds.cern.ch/record/2876938
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author Bomben, Marco
ATLAS Pixel Collaboration
author_facet Bomben, Marco
ATLAS Pixel Collaboration
author_sort Bomben, Marco
collection CERN
description Signal reduction is the most important radiation damage effect on performance of silicon tracking detectors in ATLAS. Adjusting sensor bias voltage and detection threshold can help in mitigating the effects but it is important to have simulated data that reproduce the evolution of performance with the accumulation of luminosity, hence fluence. ATLAS collaboration developed and implemented an algorithm that reproduces signal loss and changes in Lorentz angle due to radiation damage. This algorithm is now the default for Run3 simulated events. In this paper the algorithm will be briefly presented and results compared to first Run3 collision data. For the high-luminosity phase of LHC (HL-LHC) a faster algorithm is necessary since the increase of collision, event, track and hit rate imposes stringent constraints on the computing resources that can be allocated for this purpose. The philosophy of the new algorithm will be presented.
id cern-2876938
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2023
record_format invenio
spelling cern-28769382023-10-26T19:54:32Zhttp://cds.cern.ch/record/2876938engBomben, MarcoATLAS Pixel CollaborationIncluding radiation damage effects in ATLAS Monte Carlo simulations: status and perspectiveParticle Physics - ExperimentSignal reduction is the most important radiation damage effect on performance of silicon tracking detectors in ATLAS. Adjusting sensor bias voltage and detection threshold can help in mitigating the effects but it is important to have simulated data that reproduce the evolution of performance with the accumulation of luminosity, hence fluence. ATLAS collaboration developed and implemented an algorithm that reproduces signal loss and changes in Lorentz angle due to radiation damage. This algorithm is now the default for Run3 simulated events. In this paper the algorithm will be briefly presented and results compared to first Run3 collision data. For the high-luminosity phase of LHC (HL-LHC) a faster algorithm is necessary since the increase of collision, event, track and hit rate imposes stringent constraints on the computing resources that can be allocated for this purpose. The philosophy of the new algorithm will be presented.ATL-INDET-PROC-2023-002oai:cds.cern.ch:28769382023-10-25
spellingShingle Particle Physics - Experiment
Bomben, Marco
ATLAS Pixel Collaboration
Including radiation damage effects in ATLAS Monte Carlo simulations: status and perspective
title Including radiation damage effects in ATLAS Monte Carlo simulations: status and perspective
title_full Including radiation damage effects in ATLAS Monte Carlo simulations: status and perspective
title_fullStr Including radiation damage effects in ATLAS Monte Carlo simulations: status and perspective
title_full_unstemmed Including radiation damage effects in ATLAS Monte Carlo simulations: status and perspective
title_short Including radiation damage effects in ATLAS Monte Carlo simulations: status and perspective
title_sort including radiation damage effects in atlas monte carlo simulations: status and perspective
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2876938
work_keys_str_mv AT bombenmarco includingradiationdamageeffectsinatlasmontecarlosimulationsstatusandperspective
AT atlaspixelcollaboration includingradiationdamageeffectsinatlasmontecarlosimulationsstatusandperspective