1–6 Jun 2025
Taipei International Convention Center (TICC)
Asia/Taipei timezone

VPuRD: virtual pulse reconstruction diagnostic for single-shot measurement of free electron laser

MOPB024
2 Jun 2025, 16:00
2h
Exhibiton Hall A _Bear (TWTC)

Exhibiton Hall A _Bear

TWTC

Poster Presentation MC2.A06 Free Electron Lasers (FELs) Monday Poster Session

Speaker

Najmeh Mirian (Helmholtz-Zentrum Dresden-Rossendorf)

Description

Accurate characterization of radiation pulse profiles is crucial for optimizing beam quality and enhancing experimental outcomes in Free Electron Laser (FEL) research. In this paper, we present a novel approach that employs machine learning techniques for real-time virtual diagnostics of FEL radiation pulses. Our advanced artificial intelligence (AI)-based diagnostic tool utilizes longitudinal phase space data obtained from the X-band transverse deflecting structure to reconstruct the temporal profile of FEL pulses in real time. Unlike traditional single-shot methods, this AI-driven solution provides a non-invasive, highly efficient alternative for pulse characterization.
By leveraging state-of-the-art machine learning models, our method facilitates precise single-shot measurements of FEL pulse power, offering significant advantages for FEL science research. This work outlines the conceptual framework, methodology, and validation results of our virtual diagnostic tool, demonstrating its potential to significantly impact FEL research.

Region represented Europe
Paper preparation format LaTeX

Author

Najmeh Mirian (Helmholtz-Zentrum Dresden-Rossendorf)

Presentation materials

There are no materials yet.