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NERSC Initiative for Scientific Exploration (NISE) 2011 Awards

Implementation of C-MAD Parallel Code to Include New Physics and Capabilities for Future Particle Colliders

Mauro Pivi, Stanford Linear Accelerator Center

Associated NERSC Project: Beam dynamics issues in the new high-intensity particle colliders and storage rings (mp93)
Principal Investigator: Miguel Furman, Stanford Linear Accelerator Center

NISE Award: 300,000 Hours
Award Date: March 2011

A novel single-bunch broadband feedback system is considered for the LHC complex at CERN to suppress the electron cloud instability. Upon successful testing of a prototype system, a full scale feedback system will be installed at CERN. Simulations are crucial to assess the feasibility and to optimize the design of the system.

Furthermore, a particular concern for meeting the emittance specifications of the Linear Colliders ILC and CLIC damping ring is the possibility of emittance growth (i.e. ~beam size) occurring in the presence of even very low electron cloud densities. Recent simulations and measurements suggest that this effect may be significant limitation to reaching the colliders performance. While considerable work remains to precisely quantify this issue, initial results suggest that the acceptable cloud densities may need to be lowered by several factors.

We are in the process of implementing the existing parallel code C-MAD (M. Pivi SLAC) used for simulations of beam instabilities in particle accelerators by incorporating new physics such as radiation damping and quantum excitiation, a single-bunch feedback system and intra-beam scattering routines. This will allow to understand the physics of particle instabilities at the LHC and future colliders such as the Linear Colliders and Super-B.

We would also like to make use of parallel FFT routines to resolve the Poisson equation for many particle system. In doing so, we could increase the number processors for the computation by a large factor. We will benchmark the simulations with the data from the CesrTA test accelerator in operation at Cornell university NY.