STI Publications - View Publication Form #19047
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Publication Information
| Title | Toward a generative modeling analysis of CLAS exclusive $2\pi$ photoproduction | ||||
| Abstract | AI-supported algorithms, particularly generative models, have been successfully used in a variety of different contexts. In this work, we demonstrate for the first time that generative adversarial networks (GANs) can be used in high-energy experimental physics to unfold detector effects from multi-particle final states, while preserving correlations between kinematic variables in multidimensional phase space. We perform a full closure test on two-pion photoproduction pseudodata generated with a realistic model in the kinematics of the Jefferson Lab CLAS g11 experiment. The overlap of different reaction mechanisms leading to the same final state associated with the CLAS detector's nontrivial effects represents an ideal test case for AI-supported analysis. Uncertainty quantification performed via bootstrap provides an estimate of the systematic uncertainty associated with the procedure. The test demonstrates that GANs can reproduce highly correlated multidifferential cross secti | ||||
| Author(s) | Tareq Alghamdi, Yasir Alanazi, Marco Battaglieri, Lukasz Bibrzycki, Andrey Golda, Astrid Hiller Blin, Evgeny Isupov, Y. Li, Luca Marsicano, Wally Melnitchouk, Viktor Mokeev, Gloria Montana-Faiget, Alessandro Pilloni, Nobuo Sato, Adam Szczepaniak, Tommaso Vittorini | ||||
| Publication Date | November 2023 | ||||
| Document Type | Journal Article | ||||
| Primary Institution | Old Dominion University | ||||
| Affiliation | Theory & Comp Physics / THEORY CENTER / THEORY CENTER | ||||
| Funding Source | Nuclear Physics (NP), JLab LDRD19-13, JLab LDRD20-18, DE-SC0023598 | ||||
| Proprietary? | No | ||||
| This publication conveys | Technical Science Results | ||||
| Document Numbers |
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| Associated with an experiment | No | ||||
| Associated with EIC | No | ||||
| Supported by Jefferson Lab LDRD Funding | No |
Journal Article
| Journal Name | Physical Review D |
| Refereed | No |
| Volume | 108 |
| Issue | |
| Page(s) | 094030 |
Attachments/Datasets/DOI Link
| Document(s) |
A_i_DAPT__2pi_closure_test.pdf
(STI Document)
PhysRevD.108.094030.pdf
(Accepted Manuscript)
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| DOI Link | |
| Dataset(s) | (none) |
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