19–24 May 2024
Music City Center
US/Central timezone

Linking edge-ML X-ray diagnostics and adaptable photoinjector laser shaping for leveraging the capabilities of LCLS-II

MOPG64
20 May 2024, 16:00
2h
Bluegrass (MCC Exhibit Hall A)

Bluegrass

MCC Exhibit Hall A

Poster Presentation MC2.A06 Free Electron Lasers Monday Poster Session

Speaker

Jack Hirschman (Stanford University)

Description

SLAC's LCLS-II is rapidly advancing towards MHz repetition rate attosecond X-ray pulses, opening new opportunities to leverage the abundance of data in combination with advances in machine learning (ML) to better align the x-ray source with specific experimental goals. We approach the challenge from both ends of the facility. Starting at the X-ray output, we showcase our low latency, high throughput ML algorithms implemented at-the-edge for X-ray detection and reconstruction in the Multi-Resolution 'Cookiebox' (MRCO) angle resolved electron spectrometer with its 16 electron time-of-flight detectors. MRCO performs spectro-temporal characterization of X-ray profiles with a resolution that allows single shot identification of well-seeded shots versus SASE background at MHz rate. MRCO enables fast feedback, so we also tackle the problem as a control issue, focusing on programmable photoinjector laser shaping to adjust the initial electron bunch. Towards this end of using advances in ML to explore the parameter space for optimizing X-ray production, we present our progress towards a digital twin linking the photoinjector laser all the way through MRCO in the endstation diagnostics.

Funding Agency

DOE under Contract No. DE-AC02-76SF00515 (LCLS), DE-SC0022559, DE-SC002246, and FWP 100498; NSF under Contract No. 2231334; and DOD AFOSR under FA9550-23-1-0409 and under an ONR NDSEG Fellowship.

Region represented North America
Paper preparation format Word

Primary author

Jack Hirschman (Stanford University)

Co-authors

Randy Lemons (SLAC National Accelerator Laboratory) Hao Zhang (University of California, Los Angeles) Amanda Shackelford (SLAC National Accelerator Laboratory) Minyang Wang (University of California, Los Angeles) Siqi Li (Stanford University) Mat Britton (SLAC National Accelerator Laboratory) Auralee Edelen (SLAC National Accelerator Laboratory) Agostino Marinelli (SLAC National Accelerator Laboratory) Razib Obaid (SLAC National Accelerator Laboratory) Sergio Carbajo (University of California, Los Angeles) Ryan Coffee (SLAC National Accelerator Laboratory)

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