Cloud-based simulations: Collaborative accelerator design in the browser

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1 Cloud-based simulations: Collaborative accelerator design in the browser G. Andonian, D.L. Bruhwiler, C. Hall, P. Moeller, R. Nagler Workshop on Methods in Collective and Nonlinear in Bright Charged Particle Beams University of Chicago, Chicago, IL October 27-28,

2 Outline Background Outcome & supported codes & Workflow Example use cases Double buncher Simple chicane Attoscope Demo elegant in the cloud Simple beamline drawing Setting up elegant run Import existing file Summary and future work

3 Motivation Many specialized tools in accelerators physics Reduce learning curve for accelerator codes Portable, easy to install Simple, cross platform sharing of data Intuitive UI Ideal vision: One-stop shop for S2E Example of a start-to-end flow

4 Outcome Deliver codes via Docker images Executable, portable archive of code and all dependencies Isolated from environment (always runs the same) Cloud-based (Linux native speed, near-native speed OS-X, MS) Support for many codes already X-ray: SRW, Shadow Beams: Synergia, Elegant, WARP, Hellweg3D More codes coming soon (MAD-X) FEL: Genesis Three ways to interface with codes Sirepo (GUI) Jupyter (ipython notebooks) Command line (CLI) Radiasoft codes on GitHub

5 Sirepo: Browser is the GUI Easy sharing via links (& many other ways) Nothing to compile or build or install Work from either your desktop, laptop, tablet, etc. Fast, interactive scientific plotting

6 Sirepo: Elegant in the browser Elegant code support Borland, ANL#LS-286 (2000) Supports all functions (including optimization routines), and manual Intuitive visualization canvas for quick startup, error checking Fast display of relevant data Useful for beginners and pro-users

7 Work Flow Typical work flow for Elegant using sirepo interface Define beam parameters: Energy Energy spread Twiss Chirp Distribution Offsets Etc. Construct transport: Drifts Quads Dipoles Screens Etc. Setup simulation: Output control Higher order Optimization Etc. Graphic output: Phase spaces Beam Trajectory Twiss evolution Etc. OR OR OR THEN Import existing Import existing Import existing Conduct experiment, Publish paper, etc.

8 Sirepo.elegant: BEAM Elegant generated beam Specify beam parameters Supports different distributions too Supports import of custom beam (in proper SDDS format) Generate quick plots of beam correlations

9 Sirepo.elegant: LATTICE Full element library of elegant Drag and drop edit or CL Zoom-in, downloadable images Downloadable lattice file Instant feedback (reduce errors)

10 Sirepo.elegant: VISUALIZATION Standard elegant commands Run in parallel Instant output report Parameter report and log Editable graphics Download images or raw

11 Some Use Cases

12 Use Case: Microbunching σ evolution BNL ATF beamline Phase space X-Y dist. after deflector Enhance trapping efficiency of IFEL process Laser-modulated rotation in phase space to generate modulation in e- beam Modeled with sirepo.elegant Compare single buncher (about 60% capture) Double buncher (>90%) Buncher(s) Courtesy N. Sudar (UCLA) Compare single v double varying V d

13 User case: Chicane for LPA-FEL LPA source brightness is good for FEL, slice energy spread is not Use chicane to stretch beam, reduce slice energy spread Find balance between reduction in beam current and slice energy spread Modeled with sirepo.elegant Optimal R 56 depends on initial beam parameters Courtesy S. Barber (LBNL)

14 Use case : Sub-fs diagnostic beam Undulator High-resolution bunch length diagnostic Laser modulator (TEM10 mode) laser Deflector Screen RF deflecting cavity Potential for sub-fs resolution Experiment at BNL ATF Images with sirepo.elegant Phase space correlation after interaciton Distribution after deflector

15 Demo Demo of code (Time permitting hopefully no hangups) Demo 1: Simple chicane from scratch Demo 2: Import beamline

16 Summary and Future Work Sirepo is live and users are generating output Reduces buy-in time to get started Easy to share simulations via weblink Modular, flexible, and scalable Future visions: Incorporate into Control system Feedback Benchmarking output of different codes Big simulations from the laptop I/O stitching for full S2E Acknowledgements: S. Barber, N. Sudar, F. O Shea, M. Weikum, and Radiasoft team Support from US DOE Office of Science BES Try it out

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