Efficient 6-dimensional phase space measurements and applications to autonomous monitoring at LCLS-II

Increasing the performance and capabilities of free electron lasers, such as LCLS-II, hinges on our ability to precisely control and measure the 6-dimensional phase space distribution of the beam. However, conventional tomographic techniques necessitate a substantial number of measurements and computational resources to characterize a single beam distribution, using many hours of valuable beam time. Novel diagnostic techniques are needed to significantly reduce the number of measurements required to reconstruct detailed, 6-dimensional beam features to enable feedback for precision beam shaping for accelerators and characterize unknown physical phenomena. In this work, we present a novel approach to analyzing experimental measurements using differentiable beam dynamics simulations and generative representations of 6-dimensional phase space distributions. We discuss developments in combining this work with advanced accelerator control algorithms and parasitic beam measurements to autonomously monitor the 6-dimensional phase space distribution of the beam at LCLS-II during accelerator operations.

Authors

Publication Details

Journal
JACOW
Published
2026-01-29
DOI
https://doi.org/10.18429/jacow-napac2025-mop034
Primary Topic
Particle Accelerators and Free-Electron Lasers
Type
article
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article

Efficient 6-dimensional phase space measurements and applications to autonomous monitoring at LCLS-II

Dylan Kennedy, Juan Pablo Gonzalez-Aguilera, Gopika Bhardwaj, Ryan Roussel et al.
JACOW
Particle Accelerators and Free-Electron Lasers
article

Efficient 6-dimensional phase space measurements and applications to autonomous monitoring at LCLS-II

Dylan Kennedy, Juan Pablo Gonzalez-Aguilera, Gopika Bhardwaj, Ryan Roussel, Auralee Edelen, William Colocho, Chris Garnier, An Le
article en

Abstract

Increasing the performance and capabilities of free electron lasers, such as LCLS-II, hinges on our ability to precisely control and measure the 6-dimensional phase space distribution of the beam. However, conventional tomographic techniques necessitate a substantial number of measurements and computational resources to characterize a single beam distribution, using many hours of valuable beam time. Novel diagnostic techniques are needed to significantly reduce the number of measurements required to reconstruct detailed, 6-dimensional beam features to enable feedback for precision beam shaping for accelerators and characterize unknown physical phenomena. In this work, we present a novel approach to analyzing experimental measurements using differentiable beam dynamics simulations and generative representations of 6-dimensional phase space distributions. We discuss developments in combining this work with advanced accelerator control algorithms and parasitic beam measurements to autonomously monitor the 6-dimensional phase space distribution of the beam at LCLS-II during accelerator operations.

JACOW
Openalex Percentile: Top 73%
Particle Accelerators and Free-Electron Lasers
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Efficient 6-dimensional phase space measurements and applications to autonomous monitoring at LCLS-II — Dylan Kennedy, Juan Pablo Gonzalez-Aguilera, et al. · JACOW (2026) | TGRS Research Map | TGRS