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Simulation of radiation environments

Simulating radiation environments is crucial in the design phase of new hadron collider experiments or upgrades, especially when extrapolating to new centre of mass collision energies where previous experience cannot be relied on. The generation of radiation fields in the LHC experiments is dominate...

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Detalles Bibliográficos
Autores principales: Alici, A, Azhgirey, I, Dawson, I, Huhtinen, M, Ivantchenko, V, Kar, D, Karacson, M, Mallows, S, Manousos, T, Mandić, I, Di Mauro, A, Menke, S, Miyagawa, P S, Oblakowska-Mucha, A, Pospisil, S, Szumlak, T, Vlachoudis, V
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:https://dx.doi.org/10.23731/CYRM-2021-001.35
http://cds.cern.ch/record/2773266
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author Alici, A
Azhgirey, I
Dawson, I
Huhtinen, M
Ivantchenko, V
Kar, D
Karacson, M
Mallows, S
Manousos, T
Mandić, I
Di Mauro, A
Menke, S
Miyagawa, P S
Oblakowska-Mucha, A
Pospisil, S
Szumlak, T
Vlachoudis, V
Dawson, I
Mallows, S
author_facet Alici, A
Azhgirey, I
Dawson, I
Huhtinen, M
Ivantchenko, V
Kar, D
Karacson, M
Mallows, S
Manousos, T
Mandić, I
Di Mauro, A
Menke, S
Miyagawa, P S
Oblakowska-Mucha, A
Pospisil, S
Szumlak, T
Vlachoudis, V
Dawson, I
Mallows, S
author_sort Alici, A
collection CERN
description Simulating radiation environments is crucial in the design phase of new hadron collider experiments or upgrades, especially when extrapolating to new centre of mass collision energies where previous experience cannot be relied on. The generation of radiation fields in the LHC experiments is dominated by proton–proton collisions, with contributions from beam-gas interactions and other machine losses. It is therefore essential to first reproduce the proton–proton collisions, using Monte Carlo event generators such as PYTHIA8 and DPMJET-III. This part of the simulation chain is discussed in Section 4.1.The particles originating from the proton–proton collisions interact with the detector and machine material, causing electromagnetic and hadronic showers which give rise to the complex radiation fields seen in the LHC experiments. This second part of the simulation is dealt with using advanced Monte Carlo particle transport codes such as FLUKA, MARS, or GEANT4. An overview of these codes is given in Section 4.2.Key radiation quantities of interest are extracted from the simulations, such as 1 MeV neutron equivalent fluence and total ionizing dose, and these are discussed in Section 4.3. It is these quantities that are needed by the detector systems for evaluating radiation damage and predicting sensor and electronic performance over the lifetime of the experiment. In Section 4.4, the simulated predictions of radiation backgrounds for each of the experiments is presented. Finally, in Section 4.5, we offer general conclusions and recommendations for the future.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
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spelling oai-inspirehep.net-18672172021-06-21T19:58:53Zdoi:10.23731/CYRM-2021-001.35http://cds.cern.ch/record/2773266engAlici, AAzhgirey, IDawson, IHuhtinen, MIvantchenko, VKar, DKaracson, MMallows, SManousos, TMandić, IDi Mauro, AMenke, SMiyagawa, P SOblakowska-Mucha, APospisil, SSzumlak, TVlachoudis, VDawson, IMallows, SSimulation of radiation environmentsAccelerators and Storage RingsDetectors and Experimental TechniquesSimulating radiation environments is crucial in the design phase of new hadron collider experiments or upgrades, especially when extrapolating to new centre of mass collision energies where previous experience cannot be relied on. The generation of radiation fields in the LHC experiments is dominated by proton–proton collisions, with contributions from beam-gas interactions and other machine losses. It is therefore essential to first reproduce the proton–proton collisions, using Monte Carlo event generators such as PYTHIA8 and DPMJET-III. This part of the simulation chain is discussed in Section 4.1.The particles originating from the proton–proton collisions interact with the detector and machine material, causing electromagnetic and hadronic showers which give rise to the complex radiation fields seen in the LHC experiments. This second part of the simulation is dealt with using advanced Monte Carlo particle transport codes such as FLUKA, MARS, or GEANT4. An overview of these codes is given in Section 4.2.Key radiation quantities of interest are extracted from the simulations, such as 1 MeV neutron equivalent fluence and total ionizing dose, and these are discussed in Section 4.3. It is these quantities that are needed by the detector systems for evaluating radiation damage and predicting sensor and electronic performance over the lifetime of the experiment. In Section 4.4, the simulated predictions of radiation backgrounds for each of the experiments is presented. Finally, in Section 4.5, we offer general conclusions and recommendations for the future.oai:inspirehep.net:18672172021
spellingShingle Accelerators and Storage Rings
Detectors and Experimental Techniques
Alici, A
Azhgirey, I
Dawson, I
Huhtinen, M
Ivantchenko, V
Kar, D
Karacson, M
Mallows, S
Manousos, T
Mandić, I
Di Mauro, A
Menke, S
Miyagawa, P S
Oblakowska-Mucha, A
Pospisil, S
Szumlak, T
Vlachoudis, V
Dawson, I
Mallows, S
Simulation of radiation environments
title Simulation of radiation environments
title_full Simulation of radiation environments
title_fullStr Simulation of radiation environments
title_full_unstemmed Simulation of radiation environments
title_short Simulation of radiation environments
title_sort simulation of radiation environments
topic Accelerators and Storage Rings
Detectors and Experimental Techniques
url https://dx.doi.org/10.23731/CYRM-2021-001.35
http://cds.cern.ch/record/2773266
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