{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T04:14:35Z","timestamp":1773375275240,"version":"3.50.1"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8]]},"abstract":"<jats:p>We apply generative adversarial network (GAN) technology to build an event generator that simulates particle production in electron-proton scattering that is free of theoretical assumptions about underlying particle dynamics. The difficulty of efficiently training a GAN event simulator lies in learning the complicated patterns of the distributions of the particles physical properties. We develop a GAN that selects a set of transformed features from particle momenta that can be generated easily by the generator, and uses these to produce a set of augmented features that improve the sensitivity of the discriminator. The new Feature-Augmented and Transformed GAN (FAT-GAN) is able to faithfully reproduce the distribution of final state electron momenta in inclusive electron scattering, without the need for input derived from domain-based theoretical assumptions. The developed technology can play a significant role in boosting the science of existing and future accelerator facilities, such as the Electron-Ion Collider.<\/jats:p>","DOI":"10.24963\/ijcai.2021\/293","type":"proceedings-article","created":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T07:00:49Z","timestamp":1628665249000},"page":"2126-2132","source":"Crossref","is-referenced-by-count":37,"title":["Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)"],"prefix":"10.24963","author":[{"given":"Yasir","family":"Alanazi","sequence":"first","affiliation":[{"name":"Old Dominion University, Norfolk, Virginia"}]},{"given":"Nobuo","family":"Sato","sequence":"additional","affiliation":[{"name":"Jefferson Lab, Newport News, Virginia"}]},{"given":"Tianbo","family":"Liu","sequence":"additional","affiliation":[{"name":"Jefferson Lab, Newport News, Virginia"}]},{"given":"Wally","family":"Melnitchouk","sequence":"additional","affiliation":[{"name":"Jefferson Lab, Newport News, Virginia"}]},{"given":"Pawel","family":"Ambrozewicz","sequence":"additional","affiliation":[{"name":"Jefferson Lab, Newport News, Virginia"}]},{"given":"Florian","family":"Hauenstein","sequence":"additional","affiliation":[{"name":"Old Dominion University, Norfolk, Virginia"}]},{"given":"Michelle P.","family":"Kuchera","sequence":"additional","affiliation":[{"name":"Davidson College, Davidson, North Carolina"}]},{"given":"Evan","family":"Pritchard","sequence":"additional","affiliation":[{"name":"Davidson College, Davidson, North Carolina"}]},{"given":"Michael","family":"Robertson","sequence":"additional","affiliation":[{"name":"Davidson College, Davidson, North Carolina"}]},{"given":"Ryan","family":"Strauss","sequence":"additional","affiliation":[{"name":"Davidson College, Davidson, North Carolina"}]},{"given":"Luisa","family":"Velasco","sequence":"additional","affiliation":[{"name":"University of Dallas, Irving, Texas"}]},{"given":"Yaohang","family":"Li","sequence":"additional","affiliation":[{"name":"Old Dominion University, Norfolk, Virginia"}]}],"member":"10584","event":{"name":"Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}","theme":"Artificial Intelligence","location":"Montreal, Canada","acronym":"IJCAI-2021","number":"30","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2021,8,19]]},"end":{"date-parts":[[2021,8,27]]}},"container-title":["Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T07:02:28Z","timestamp":1628665348000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2021\/293"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2021,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2021\/293","relation":{},"subject":[],"published":{"date-parts":[[2021,8]]}}}