Published 2013
| Version v1
Miscellaneous
PyECLOUD and build-up simulations at CERN
Creators
- 1. University Naples (Italy)
- 2. European Organization for Nuclear Research, Geneva (Switzerland)
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. (author)
Availability note (English)
Available on-line: http://cds.cern.ch/record/1603634/files/arXiv:1309.6773.pdfAdditional details
Identifiers
Publishing Information
- ISBN
- 978-92-9083-386-4
- Imprint Title
- Proceedings of Joint INFN-CERN-EuCARD-AccNet Workshop on Electron-Cloud Effects
- Imprint Pagination
- 286 p.
- Series
- CERN Yellow Reports Series
- Journal Page Range
- p. 189-194
- ISSN
- 0007-8328
- Report number
- CERN--2013/002
Conference
- Title
- Joint INFN-CERN-EuCARD-AccNet Workshop on Electron-Cloud Effects
- Dates
- 5-9 Jun 2012
- Place
- La Biodola, Isola d'Elba (Italy)
INIS
- Country of Publication
- European Organization for Nuclear Research (CERN)
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 47109250
- Subject category
- S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference, Non-conventional Literature
- Descriptors DEI
- ALGORITHMS; CERN; CERN LHC; COMPUTER CODES; ELECTRONS; SIMULATION
- Descriptors DEC
- ACCELERATORS; CYCLIC ACCELERATORS; ELEMENTARY PARTICLES; FERMIONS; INTERNATIONAL ORGANIZATIONS; LEPTONS; MATHEMATICAL LOGIC; STORAGE RINGS; SYNCHROTRONS
Optional Information
- Copyright
- Copyright (c) 2013 CERN