Research output per year
Research output per year
Description
This data corresponds to the experimental data for "ARISE: An Algorithm for Rapid Ion Spectrum Extraction Enabling Real-Time Optimisation in High-Repetition-Rate Laser-Driven Ion Acceleration". This dataset contains Thomson parabola trace images, in TIF format which were obtained during laser-driven ion acceleration experiments to validate a rapid ion spectrum extraction algorithm as described in the publication. Specific details are contained within the readme file included with the dataset.
| Date made available | 30 Oct 2025 |
|---|---|
| Publisher | University of Strathclyde |
| Date of data production | 18 Jun 2024 - 3 Oct 2024 |
Research output
- 1 Article
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ARISE: an algorithm for rapid ion spectrum extraction enabling real-time optimisation in high-repetition-rate laser-driven ion acceleration
Torrance, B. C., McQueen, C. J. G., Wilson, R., Alderton, M., Dolier, E. J., Peat Romero, M. P., Nayli, R., King, M., Gray, R. J. & McKenna, P., 25 Jan 2026, In: High Power Laser Science and Engineering. 13, 11 p., e105.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)16 Downloads (Pure)
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Relativistic plasma apertures: Generating ultraintense structured light with orbital angular momentum (Responsive Mode)
McKenna, P. (Principal Investigator), Gray, R. (Co-investigator) & King, M. (Research Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/03/25 → 29/02/28
Project: Research
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Industrial CASE Account - University of Strathclyde 2022 | Torrance, Ben
McKenna, P. (Principal Investigator), King, M. (Co-investigator) & Torrance, B. (Research Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/22 → 1/10/26
Project: Research Studentship Case - Internally allocated
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The Laser-hybrid Accelerator for Radiobiological Applications
Whyte, C. (Principal Investigator), Gray, R. (Co-investigator) & McKenna, P. (Co-investigator)
STFC Science and Technology Facilities Council
1/10/22 → 31/03/26
Project: Research
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