On-the-fly optimization of synchrotron beamlines using machine learning
- Research Organization:
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- DOE Contract Number:
- SC0012704
- OSTI ID:
- 1924205
- Report Number(s):
- BNL-223993-2023-COPA
- Resource Relation:
- Conference: Optical System Alignment, Tolerancing, and Verification XIV, San Diego, United States, 8/21/2022 - 8/26/2022
- Country of Publication:
- United States
- Language:
- English
The TES beamline (8-BM) at NSLS-II: tender-energy spatially resolved X-ray absorption spectroscopy and X-ray fluorescence imaging
|
journal | October 2019 |
Combining diagnostics, modeling, and control systems for automated alignment of the TES beamline
|
journal | December 2022 |
SHADOW3 : a new version of the synchrotron X-ray optics modelling package
|
journal | July 2011 |
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