Journal article
Monte Carlo modeling of the linear Breit-Wheeler process within the geant4 framework
- Abstract:
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A linear Breit-Wheeler module for the code geant4 has been developed. This allows signal-to-noise ratio calculations of linear Breit-Wheeler detection experiments to be performed within a single framework. The interaction between two photon sources is modeled by treating one as a static field, then photons from the second source are sampled and tracked through the field. To increase the efficiency of the module, we have used a Gaussian process regression, which can lead to an increase in the calculation rate by a factor of up to 1000. To demonstrate the capabilities of this module, we use it to perform a parameter scan, modeling an experiment based on that recently reported by Kettle et al. [New J. Phys. 23, 115006 (2021)]. We show that colliding 50-fs duration γ rays, produced through bremsstrahlung emission of a 100 pC, 2-GeV laser wakefield accelerator beam, with a 50-ps x-ray field, generated by a germanium burn-through foil heated to temperatures > 150 eV, this experiment is capable of producing > 1 Breit-Wheeler pair per shot.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 955.0KB, Terms of use)
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- Publisher copy:
- 10.1103/physrevaccelbeams.26.054601
Authors
- Publisher:
- American Physical Society
- Journal:
- Physical Review Accelerators and Beams More from this journal
- Volume:
- 26
- Issue:
- 5
- Article number:
- 54601
- Publication date:
- 2023-05-16
- Acceptance date:
- 2023-04-18
- DOI:
- EISSN:
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2469-9888
- Language:
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English
- Keywords:
- Pubs id:
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1341832
- Local pid:
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pubs:1341832
- Deposit date:
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2023-06-01
Terms of use
- Copyright holder:
- Watt et al.
- Copyright date:
- 2023
- Rights statement:
- Copyright © 2023 The Author(s). Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.
- Licence:
- CC Attribution (CC BY)
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