Physical models and numerical algorithms

These references describe the physics and numerical methods underlying PyECLOUD. Older presentations document the implementation at the time they were written; use the current parameter reference for configuration syntax.

General references

• G. Iadarola, Electron Cloud Studies for CERN Particle Accelerators and Simulation Code Development, doctoral thesis (2014).

• G. Iadarola et al., Evolution of Python Tools for the Simulation of Electron Cloud Effects, IPAC2017.

• Overview of PyECLOUD’s history and features.

See Citing PyECLOUD for the project’s recommended citation.

Particle tracking and fields

Topic	Reference
Boris tracking in quadrupole fields	Tracking presentation
Shortley–Weller treatment of curved boundaries	Field-solver presentation
Nested-grid particle-in-cell calculations	Nested-grid presentation
Magnetic multipoles	Implementation discussion
Electromagnetic potentials for field calculations	Technical presentation

Emission and ionization

Topic	Reference
Cosine distribution of secondary-electron emission angles	Emission-angle discussion
Furman–Pivi secondary emission model	CERN-ACC-NOTE-2019-0029 and presentation
Electron-induced residual-gas ionization and multiple clouds	Cross-ionization presentation

Beam coupling and computational methods

• PyEC4PyHT coupling and Cython performance work.

• Parallel beam-dynamics simulation with PyPARIS.

• PyPARIS technical wiki.

For execution instructions, start with the single-bunch tutorial and parallel execution guide.