Advanced Computational Technologies for Experiment Control, Data Acquisition, and Data Analysis at the Advanced Photon Source

Author:

Hammonds John1,Henke Steven1,Jemian Pete R.1,Kandel Saugat1,Parraga Hannah1,Rebuffi Luca1ORCID,Shi Xianbo1,Veseli Siniša1,Wolfman Mark1,Wyman Max1,Zhou Tao2,Chard Ryan3,Cote Benoit4,Allcock William4,Assoufid Lahsen1,Cherukara Mathew J.1,Kelly Shelly1,Sandy Alec1ORCID,Sullivan Joseph1,Schwarz Nicholas1

Affiliation:

1. X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, Lemont, Illinois, USA

2. Center for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois, USA

3. Data Science & Learning Division, Argonne National Laboratory, Lemont, Illinois, USA

4. Argonne Leadership Computing Facility, Argonne National Laboratory, Lemont, Illinois, USA

Funder

Advanced Photon Source

Center for Nanoscale Materials

U.S. DOE Office of Science-Basic Energy Sciences

Argonne Leadership Computing Facility

U.S. Department of Energy (DOE) Office of Science-Basic Energy Sciences

Publisher

Informa UK Limited

Subject

Nuclear and High Energy Physics,Atomic and Molecular Physics, and Optics

Reference48 articles.

1. M. Borland et al., in Proceedings of the 9th International Particle Accelerator Conference (IPAC’18) (2018), pp. 2872–2877. doi:10.18429/JACoW-IPAC2018-THXGBD1

2. Enabling Scientific Discovery at Next-Generation Light Sources with Advanced AI and HPC

3. J. Zurawski et al. 2022 Basic Energy Sciences Network Requirements Review Final Report 2022. https://escholarship.org/uc/item/3jj0h54n

4. Optics for coherent X-ray applications

5. Protocol to study wavefront preservation capabilities of reflective X-ray optics with coherent synchrotron light

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