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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.03100 |
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| _version_ | 1866916598290317312 |
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| author | Esslinger, J. Weisse, N. Eberle, C. Schroeder, J. Howard, S. Norreys, P. Karsch, S. Döpp, A. |
| author_facet | Esslinger, J. Weisse, N. Eberle, C. Schroeder, J. Howard, S. Norreys, P. Karsch, S. Döpp, A. |
| contents | We introduce a Bayesian framework for measuring spatio-temporal couplings (STCs) in ultra-intense lasers that reconceptualizes what constitutes a 'single-shot' measurement. Moving beyond traditional distinctions between single- and multi-shot devices, our approach provides rigorous criteria for determining when measurements can truly resolve individual laser shots rather than statistical averages. This framework shows that single-shot capability is not an intrinsic device property but emerges from the relationship between measurement precision and inherent parameter variability. Implementing this approach with a new measurement device at the ATLAS-3000 petawatt laser, we provide the first quantitative uncertainty bounds on pulse front tilt and curvature. Notably, we observe that our Bayesian method reduces uncertainty by up to 60% compared to traditional approaches. Through this analysis, we reveal how the interplay between measurement precision and intrinsic system variability defines achievable resolution -- insights that have direct implications for applications where precise control of laser-matter interaction is critical. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_03100 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Bayesian perspective on single-shot laser characterization Esslinger, J. Weisse, N. Eberle, C. Schroeder, J. Howard, S. Norreys, P. Karsch, S. Döpp, A. Optics Machine Learning Instrumentation and Detectors We introduce a Bayesian framework for measuring spatio-temporal couplings (STCs) in ultra-intense lasers that reconceptualizes what constitutes a 'single-shot' measurement. Moving beyond traditional distinctions between single- and multi-shot devices, our approach provides rigorous criteria for determining when measurements can truly resolve individual laser shots rather than statistical averages. This framework shows that single-shot capability is not an intrinsic device property but emerges from the relationship between measurement precision and inherent parameter variability. Implementing this approach with a new measurement device at the ATLAS-3000 petawatt laser, we provide the first quantitative uncertainty bounds on pulse front tilt and curvature. Notably, we observe that our Bayesian method reduces uncertainty by up to 60% compared to traditional approaches. Through this analysis, we reveal how the interplay between measurement precision and intrinsic system variability defines achievable resolution -- insights that have direct implications for applications where precise control of laser-matter interaction is critical. |
| title | A Bayesian perspective on single-shot laser characterization |
| topic | Optics Machine Learning Instrumentation and Detectors |
| url | https://arxiv.org/abs/2502.03100 |