Speaker
Description
X-ray free-electron lasers (XFELs) provide exceptional brightness and ultrafast capabilities but face high demand for beamtime. Compact X-ray light sources (CXLS) aim to reduce facility size and cost, enabling broader access to a subset of XFEL experiments and complementing large-scale facilities.
We present the development of a digital twin for key CXLS components, designed for system optimization and autonomous operation. The framework integrates physics-based models of inverse Compton scattering X-ray generation, beam transport, multilayer mirror optics, and photon-counting detectors into a unified simulation environment. Monte Carlo methods are used to model X-ray generation and propagation through the beamline, enabling rapid exploration of machine parameters and their impact on photon output.
The digital twin serves as a high-fidelity virtual environment for testing optimization algorithms, feedback schemes, and autonomous beamline strategies before deployment on hardware. This approach supports virtual commissioning, sensitivity analysis, and predictive tuning while reducing operational risk and commissioning time. The framework provides a foundation for optimization and automation in compact X-ray sources.
Funding Agency
This work supported by the National Science Foundation under grant 2153503.
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