Published January 2026
| Version 1
Dataset
Open
Dataset: Characterization and automated optimization of laser-driven proton beams from converging liquid sheet jet targets
Authors/Creators
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1.
SLAC National Accelerator Laboratory
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2.
Stanford University
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3.
Sandia National Laboratories
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4.
Queen's University Belfast
Contributors
Project members:
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Treffert, F.1, 2, 3
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Ahmed, H.4
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Astbury, S.4
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Borghesi, M.5
- Bourgeois, N.4
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Curry, Chandra B.1, 6
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Dann, S. J. D.4
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DiIorio, S.7
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Dover, N. P.8
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Dzelzainis, T.4
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Ettlinger, O.8
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Gauthier, M.1
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Giuffrida, L.9
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Gray, R. J.10, 11
- Green, J. S.4
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Hicks, G. S.8
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Hyland, C.5
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Istokskaia, V.9, 12
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King, M.10, 11
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Loughran, B.5
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Margarone, D.5, 9
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McCusker, O.5
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McKenna, P.10, 11
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Najmudin, Z.8
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Parisuaña, C.1, 13
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Parsons, P.5
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Spindloe, C.4
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Streeter, M. J. V.5
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Symes, D. R.4
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Thomas, A. G. R.8
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Xu, N.8
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1.
SLAC National Accelerator Laboratory
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2.
Technical University of Darmstadt
- 3. Focused Energy
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4.
Central Laser Facility
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5.
Queen's University Belfast
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6.
University of Alberta
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7.
University of Michigan–Ann Arbor
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8.
Imperial College London
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9.
Extreme Light Infrastructure Beamlines
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10.
University of Strathclyde
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11.
Cockcroft Institute
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12.
Czech Technical University in Prague
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13.
Stanford University
Description
This repository contains data and analysis code supporting the publication "Characterization and automated optimization of laser-driven proton beams from converging liquid sheet jet targets" (G. D. Glenn et al., Physical Review Research, 2026). It contains both raw and processed experimental data as well as the code required to reproduce the plots presented in the publication.
Files
GDGlenn_PRR_2026.zip
Files
(549.2 MB)
| Name | Size | Download all |
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md5:6e8594b34074ff417ce7bfda4bc1bc36
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Additional details
Funding
- United States Department of Energy
- Fusion Energy Sciences 100182
- United States Department of Energy
- Fusion Energy Sciences FWP 100866
- U.S. National Science Foundation
- High-Energy Laser-Proton Acceleration from Cryogenic Hydrogen 1632708
- U.S. National Science Foundation
- Project Grant PHY-2308860
- National Nuclear Security Administration
- DOE NNSA SSGF Program DE-NA0003960
- Royal Society
- University Research Fellowship URF-R1221874
- United States Department of Energy
- Grant DE-SC0016804
- United States Air Force Office of Scientific Research
- Grant FA9550-19-1-0072
- National Nuclear Security Administration
- NNSA Center of Excellence DE-NA0004146
- UK Research and Innovation
- The John Adams Institute for Accelerator Science ST/P002021/1
- UK Research and Innovation
- The John Adams Institute for Accelerator Science ST/V001639/1
- Engineering and Physical Sciences Research Council
- Nonlinear Optics and Dynamics of Relativistically Transparent Plasmas EP/R006202/1
- Engineering and Physical Sciences Research Council
- Automated multi-dimensional mapping of dynamic laser-liquid interactions EP/Y001737/1
- Science and Technology Facilities Council
- UK XFEL Physical Sciences Hub S2-2020-00020-8457
- Ministry of Education Youth and Sports
- Grant LQ1606
- Czech Science Foundation
- Advanced research using high intensity laser produced photons and particles CZ.02.1.01/0.0/0.0/16_019/0000789
Software
- Programming language
- Python