Computing for accelerator physics Ilya Agapov, 7/12/09, DESY ...

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Energy deposition and machinedetector interface Was not a problem in the early years With more beam energy/intensity and superconducting magnets particle losses due to scattering, collimation system performance etc. become more critical Similar type of calculations as with HEP detectors (showers), but need to link it with beam dynamics in the machine Interfacing MonteCarlo radiation transport (FLUKA, GEANT4, MCNP, MARS) to accelerator tracking Examples: STRUCT/MARS at FNAL; FLUKA/SIXTRACK for LHC; BDSIM (standalone GEANT4 based tracking for ILC and ATF2)
BDSIM Complicated geometries are possible (e.g. extraction with electron and photon dump lines, bottom left). Detailed or simplified equipment models (e.g. laserwires) Tracking in vacuum + secondaries All Geant4 physics + fast tracking in vacuum and variance reduction techniques Energy deposition based on Geant4 + Root Detector interface – Mokka and xml 29
Page 1 and 2: Computing for accelerator physics I
Page 3 and 4: Areas where computing plays a role
Page 5 and 6: Linear accelerators Injectorts for
Page 8 and 9: Plasmawakefield acceleration Use
Page 10 and 11: EM field calculations LHC main quad
Page 12 and 13: CST particle studio Collimator wake
Page 14 and 15: Wakefield code ECHO (TU Darmstadt /
Page 16 and 17: Beam optics Accelerator dimensions
Page 18 and 19: Linear optics A typical parametriza
Page 20: Steering (PLACET code, D.Schulte, A
Page 26 and 27: MADX Widely used beam optics cod
Page 30 and 31: Energy deposition, collimation, hal
Page 32 and 33: Control Systems and online optics
Page 34 and 35: LHC Online model Provide virtual
Page 36 and 37: User interface for interactive expe
Page 38 and 39: Aperture measurements (arcs) Free
Page 40 and 41: General data management issues Dat

Computing for accelerator physics Ilya Agapov, 7/12/09, DESY ...

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