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

Optimization of the ASU CXLS beamline in simulation via Bayesian methods

WEPC01
22 May 2024, 16:00
2h
Country (MCC Exhibit Hall A)

Country

MCC Exhibit Hall A

Poster Presentation MC2.A08 Linear Accelerators Wednesday Poster Session

Speaker

Lucas Malin (Arizona State University)

Description

Single objective Bayesian optimization is used in the simulation of the compact X-ray light source (CXLS) at Arizona State University, an inverse Compton based X-ray source, to optimize the 6D electron distribution prior to final focusing at the interaction point. For inverse Compton X-ray sources, a small 6D emittance as well as a small pulse (both transversely and longitudinally) are essential for producing bright X-ray pulses. Using IMPACT-T on a 200 pC initial charge with an RF photoinjector operating in blow-out mode, we vary parameters, such as transverse laser diameter on the cathode, RF gun phase, solenoid strength, as well as linac amplitude and phase, to balance minimizing the 6D emittance and spatial profiles. We test objective functions that are combinations of beam parameters, such as energy spread before final focus, pulse duration, and normalized emittance.

Funding Agency

This work was supported by the NSF Bio Directorate under midscale RI-2 award #2153503

Region represented North America
Paper preparation format LaTeX

Primary author

Lucas Malin (Arizona State University)

Co-authors

Alex Gardeck (Arizona State University) Ji Qiang (Lawrence Berkeley National Laboratory) Mark Holl (Arizona State University) Rejul Jaswal (Arizona State University) William Graves (Arizona State University)

Presentation materials

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