Online Data Analysis and Simulation Sven Reiche UCLA - 09/22/04 Sven Reiche UCLA - 09/22/04

Goals  Help operators in commissioning the machine.  Essential for semi-automated procedures (e.g. BBA).  Confirm (or reject) certain models for beam propagation.  Complete understanding of the machine, required for further modification/upgrades.  Help operators in commissioning the machine.  Essential for semi-automated procedures (e.g. BBA).  Confirm (or reject) certain models for beam propagation.  Complete understanding of the machine, required for further modification/upgrades.

Requirements  Database of machine settings and diagnostic  Integrated analysis software (e.g. emittance measurement)  Core simulation suite (Parmela/Astra, Elegant, Genesis/Ginger)  Data conversions modules  Scripting environment  Hardware resources  Database of machine settings and diagnostic  Integrated analysis software (e.g. emittance measurement)  Core simulation suite (Parmela/Astra, Elegant, Genesis/Ginger)  Data conversions modules  Scripting environment  Hardware resources

Basic Set-up Machine/Experiment Start-end Simulation Diagnostic/ Measurement Derived Beam Model Derived Measurement Complete Beam Model Input for Simulation Comparison (Operator) Change Settings Update Model

Online Data Analysis  Goal to model the electron beam or to confirm an existing model.  Direct and calibrated measurements (Charge, RF Phases etc).  Programs to extract information (e.g. emittance from quad scan or tomography).  Stores information in database.  Requires eventually to automate control of the machine.  Goal to model the electron beam or to confirm an existing model.  Direct and calibrated measurements (Charge, RF Phases etc).  Programs to extract information (e.g. emittance from quad scan or tomography).  Stores information in database.  Requires eventually to automate control of the machine.

Online Simulation  Simulation, based on machine set-values and/or experimental beam model.  Reproduction of existing measurement (e.g. beam profiles at OTR screens).  Comparison with experimentally derived beam information.  Interface with machine set-value and/or experimental results.  Simulation, based on machine set-values and/or experimental beam model.  Reproduction of existing measurement (e.g. beam profiles at OTR screens).  Comparison with experimentally derived beam information.  Interface with machine set-value and/or experimental results.

Injector  Fast calculation of beam envelope (HOMDYN, Trace3D) or more time- consuming Particle Tracking (PARMELA, Astra).  Depends critical of the underlying model (e.g. thermal emittance) and injector settings (e.g. solenoid field, rf phase).  Weak/non-existing interface to drive laser (import profile of virtual cathode into the codes).  Fast calculation of beam envelope (HOMDYN, Trace3D) or more time- consuming Particle Tracking (PARMELA, Astra).  Depends critical of the underlying model (e.g. thermal emittance) and injector settings (e.g. solenoid field, rf phase).  Weak/non-existing interface to drive laser (import profile of virtual cathode into the codes).

Linac  ELEGANT as solely choice for Linac simulation.  Execution of 3D CSR calculation (Traffic4, CSRTrack) too time consuming for online- simulation.  Because simulation depends on various machine set-values, automated interface with database is essential.  ELEGANT as solely choice for Linac simulation.  Execution of 3D CSR calculation (Traffic4, CSRTrack) too time consuming for online- simulation.  Because simulation depends on various machine set-values, automated interface with database is essential.

Undulator/FEL  No dynamic machine parameters (undulator lattice only).  Requires a detailed model of the electron beam.  Calculation varies from minutes (FEL amplifier model) to days (full bunch SASE simulation).  Background signal from spontaneous radiation not negligible.  No dynamic machine parameters (undulator lattice only).  Requires a detailed model of the electron beam.  Calculation varies from minutes (FEL amplifier model) to days (full bunch SASE simulation).  Background signal from spontaneous radiation not negligible.

Realization I  Extension of established start-end simulation by automated interface between codes and/or machine database.  Support by the code authors is essential.  Codes and code-interface programs should be scriptable or callable by a programming environment (e.g. Matlab). Simplest form of system calls (e.g. ‘system’ in C/C++ or ‘spawn’ in IDL) should be sufficient.  Extension of established start-end simulation by automated interface between codes and/or machine database.  Support by the code authors is essential.  Codes and code-interface programs should be scriptable or callable by a programming environment (e.g. Matlab). Simplest form of system calls (e.g. ‘system’ in C/C++ or ‘spawn’ in IDL) should be sufficient.

Realization II  Interface to database for machine set-values (dynamic parameters) and machine parameters (static parameters).  Postprocessing of simulation output is written back to database or handed over to next code (agreement on format essential).  For commissioning the postprocessor should mimic diagnostic for better comparison.  Interface to database for machine set-values (dynamic parameters) and machine parameters (static parameters).  Postprocessing of simulation output is written back to database or handed over to next code (agreement on format essential).  For commissioning the postprocessor should mimic diagnostic for better comparison.

Simplification for Operation  No particle tracking for Injector  No CSR codes for Linac tracking  FEL Amplifier model only for time- dependent runs  Far-field approximation for calculation of the spontaneous background  Piecewise calculation (no single-button start-end simulation)  No particle tracking for Injector  No CSR codes for Linac tracking  FEL Amplifier model only for time- dependent runs  Far-field approximation for calculation of the spontaneous background  Piecewise calculation (no single-button start-end simulation)

Conclusion  Diagnostic has to be defined so that codes can model the equivalent ‘virtual’ LCLS.  Automation between codes is straight forward if support by authors exists.  Embedded in an easy to program environment (Matlab).  Online simulation have to be fast to support the operation of the machine and not the data analysis.  Diagnostic has to be defined so that codes can model the equivalent ‘virtual’ LCLS.  Automation between codes is straight forward if support by authors exists.  Embedded in an easy to program environment (Matlab).  Online simulation have to be fast to support the operation of the machine and not the data analysis.