Author: Belli, E.
Paper Title Page
MOZA1 Electron Cloud Effects at the LHC and LHC Injectors 30
 
  • G. Rumolo, H. Bartosik, E. Belli, P. Dijkstal, G. Iadarola, K.S.B. Li, L. Mether, A. Romano, M. Schenk, F. Zimmermann
    CERN, Geneva, Switzerland
  • E. Belli
    University of Rome La Sapienza, Rome, Italy
  • P. Dijkstal
    TU Darmstadt, Darmstadt, Germany
  • M. Schenk
    EPFL, Lausanne, Switzerland
 
  Electron cloud effects are one of the main limitations of the performance of the LHC and its injectors. Enormous progress has been done in the simulation of the electron cloud build-up and of the effects on beam stability while mitigation measures have been identified and implemented (scrubbing, low secondary electron yield coatings, etc.). The above has allowed reaching nominal beam parameters in the LHC during Run 2. A review of the studies and results obtained and the strategy and expected performance for the High Luminosity operation of the LHC will be presented.  
slides icon Slides MOZA1 [12.855 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2017-MOZA1  
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THPAB043 Evolution of Python Tools for the Simulation of Electron Cloud Effects 3803
 
  • G. Iadarola, E. Belli, K.S.B. Li, L. Mether, A. Romano, G. Rumolo
    CERN, Geneva, Switzerland
 
  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 of parallel computing resources in order to significantly speed-up the computation.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2017-THPAB043  
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THPAB020 Coupling Impedances and Collective Effects for FCC-ee 3734
 
  • E. Belli, M. Migliorati
    University of Rome La Sapienza, Rome, Italy
  • G. Castorina, B. Spataro, M. Zobov
    INFN/LNF, Frascati (Roma), Italy
  • A. Novokhatski
    SLAC, Menlo Park, California, USA
  • S. Persichelli
    LBNL, Berkeley, California, USA
 
  A very important issue for the Future Circular Collider (FCC) is represented by collective effects due to the self-induced electromagnetic fields, which, acting back on the beam, could produce dangerous instabilities. In this paper we will focus our work on the FCC electron-positron machine: in particular we will study some important sources of wake fields, their coupling impedances and the impact on the beam dynamics. We will also discuss longitudinal and transverse instability thresholds, both for single bunch and multibunch, and indicate some ways to mitigate such instabilities.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2017-THPAB020  
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