| Article | |
| Report number | arXiv:2401.12269 |
| Title | A decomposition algorithm for streak camera data |
| Author(s) | Oguzhan, Kaan (Munich, Max Planck Inst.) ; Ranc, Lucas (Munich, Max Planck Inst.) ; Verra, Livio (CERN) ; Caldwell, Allen (Munich, Max Planck Inst.) |
| Publication | 2024-04-05 |
| Imprint | 2024-01-22 |
| Number of pages | 18 |
| Note | 18 pages, 12 Figures, 1 table, 1 algorithm block |
| In: | JINST 19 (2024) P04005 |
| DOI | 10.1088/1748-0221/19/04/P04005 |
| Subject category | physics.acc-ph ; Accelerators and Storage Rings ; physics.ins-det ; Detectors and Experimental Techniques |
| Abstract | We describe a novel reconstruction algorithm for time-resolved images obtained using a streak camera. This algorithm operates by decomposing a recorded image into a set of individual photoelectron-induced signals, thereby providing a powerful method for streak camera image reconstruction. This deconstruction allows for a standard statistical analysis of the resulting image. We demonstrate the effectiveness of this technique by analyzing the temporal spacing between the emitted fs-long laser pulse and its succeeding first, second, and third reflections within a thick glass captured by a streak image. |
| Copyright/License | publication: © 2024 The Author(s) (License: CC-BY-4.0) preprint: (License: CC BY 4.0) |
Corresponding record in: Inspire
Record created 2024-04-16, last modified 2024-04-17
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