| Title: |
EVOLUTION OF PYTHON TOOLS FOR THE SIMULATION OF ELECTRON CLOUD EFFECTS |
| Authors: |
Giovanni Iadarola; Eleonora Belli; Kevin Li; Lotta Mether; Annalisa Romano; Giovanni Rumolo |
| Contributors: |
Iadarola, Giovanni; Belli, Eleonora; Li, Kevin; Mether, Lotta; Romano, Annalisa; Rumolo, Giovanni |
| Publication Year: |
2017 |
| Collection: |
Sapienza Università di Roma: CINECA IRIS |
| Subject Terms: |
python; python tools; electron cloud; PyECLOUD; collider; CERN; FCC; LHC |
| Description: |
PyECLOUD was originally developed as a tool for the simulation of electron cloud build-up in particle accelerators. Over the last five years the code has become part of a wider set of modular and scriptable Python tools that can be combined to study different effects of the e-cloud in increasingly complex scenarios. The Particle In Cell solver originally included in PyECLOUD later developed into a stand-alone general purpose library (PyPIC) that now includes advanced features like a refined modeling of curved boundaries and optimized resolution based on the usage of nested grids. The effects of the e-cloud on the beam dynamics can be simulated interfacing PyECLOUD with the PyHEADTAIL code. These simulations can be computationally very demanding due to the multi-scale nature of this kind of problems. Hence, a dedicated parallelization layer (PyPARIS) has been recently developed to profit from parallel computing resources in order to significantly speed up the computation. |
| Document Type: |
conference object |
| Language: |
English |
| Relation: |
info:eu-repo/semantics/altIdentifier/isbn/978-3-95450-182-3; ispartofbook:Proceedings of IPAC2017; firstpage:3803; lastpage:3806; numberofpages:4; http://hdl.handle.net/11573/1023535; http://accelconf.web.cern.ch/AccelConf/ipac2017/papers/thpab043.pdf |
| Availability: |
http://hdl.handle.net/11573/1023535; http://accelconf.web.cern.ch/AccelConf/ipac2017/papers/thpab043.pdf |
| Accession Number: |
edsbas.F7755A09 |
| Database: |
BASE |