PyECLOUD and build-up simulations at CERN

PyECLOUD is a newly developed code for the simulation of the electron cloud (EC) build-up in particle accelerators. Almost entirely written in Python, it is mostly based on the physical models already used in the ECLOUD code but, thanks to the implementation of new optimized algorithms, it exhibits...

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Detalles Bibliográficos
Autores principales: Iadarola, G., Rumolo, G.
Lenguaje:eng
Publicado: 2013
Materias:
Accelerators and Storage Rings
Acceso en línea:https://dx.doi.org/10.5170/CERN-2013-002.189
http://cds.cern.ch/record/1603634
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author Iadarola, G.
Rumolo, G.
author_facet Iadarola, G.
Rumolo, G.
author_sort Iadarola, G.
collection CERN
description PyECLOUD is a newly developed code for the simulation of the electron cloud (EC) build-up in particle accelerators. Almost entirely written in Python, it is mostly based on the physical models already used in the ECLOUD code but, thanks to the implementation of new optimized algorithms, it exhibits a significantly improved performance in accuracy, speed, reliability and flexibility. Such new features of PyECLOUD have been already broadly exploited to study EC observations in the Large Hadron Collider (LHC) and its injector chain as well as for the extrapolation to high luminosity upgrade scenarios.
id cern-1603634
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
record_format invenio
spelling cern-16036342023-03-14T17:55:32Zdoi:10.5170/CERN-2013-002.189http://cds.cern.ch/record/1603634engIadarola, G.Rumolo, G.PyECLOUD and build-up simulations at CERNAccelerators and Storage RingsPyECLOUD is a newly developed code for the simulation of the electron cloud (EC) build-up in particle accelerators. Almost entirely written in Python, it is mostly based on the physical models already used in the ECLOUD code but, thanks to the implementation of new optimized algorithms, it exhibits a significantly improved performance in accuracy, speed, reliability and flexibility. Such new features of PyECLOUD have been already broadly exploited to study EC observations in the Large Hadron Collider (LHC) and its injector chain as well as for the extrapolation to high luminosity upgrade scenarios.PyECLOUD is a newly developed code for the simulation of the electron cloud (EC) build-up in particle accelerators. Almost entirely written in Python, it is mostly based on the physical models already used in the ECLOUD code but, thanks to the implementation of new optimized algorithms, it exhibits a significantly improved performance in accuracy, speed, reliability and flexibility. Such new features of PyECLOUD have been already broadly exploited to study EC observations in the Large Hadron Collider (LHC) and its injector chain as well as for the extrapolation to high luminosity upgrade scenarios.arXiv:1309.6773oai:cds.cern.ch:16036342013-09-26
spellingShingle Accelerators and Storage Rings
Iadarola, G.
Rumolo, G.
PyECLOUD and build-up simulations at CERN
title PyECLOUD and build-up simulations at CERN
title_full PyECLOUD and build-up simulations at CERN
title_fullStr PyECLOUD and build-up simulations at CERN
title_full_unstemmed PyECLOUD and build-up simulations at CERN
title_short PyECLOUD and build-up simulations at CERN
title_sort pyecloud and build-up simulations at cern
topic Accelerators and Storage Rings
url https://dx.doi.org/10.5170/CERN-2013-002.189
http://cds.cern.ch/record/1603634
work_keys_str_mv AT iadarolag pyecloudandbuildupsimulationsatcern
AT rumolog pyecloudandbuildupsimulationsatcern

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