{"title":"从$${\\pi}^{{0}}$和$$${\\eta}$生产中提取中国EIC的横向GPD信息","authors":"Ya-Ping Xie, S. V. Goloskokov, Xurong Chen","doi":"10.1134/S1063778824020194","DOIUrl":null,"url":null,"abstract":"<p>The General Parton Distributions (GPDs) are applied to study the hard Pseudoscalar Meson Production (PMP) at high energies. The PMP amplitudes are be obtained within the GPDs factorization. They are expressed in terms of GPDs’ convolution functions, which are most essential in PMP reactions. We show that these convolution functions can be extracted from the PMP data in future EIC of China (EicC). Predictions of <span>\\(\\pi^{0}\\)</span> and <span>\\(\\eta\\)</span> production at typical EicC energies are performed.</p>","PeriodicalId":728,"journal":{"name":"Physics of Atomic Nuclei","volume":"87 1","pages":"65 - 70"},"PeriodicalIF":0.3000,"publicationDate":"2024-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extraction of Information on Transversity GPDs from \\\\({\\\\pi}^{{0}}\\\\) and \\\\({\\\\eta}\\\\) Production on EIC of China\",\"authors\":\"Ya-Ping Xie, S. V. Goloskokov, Xurong Chen\",\"doi\":\"10.1134/S1063778824020194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The General Parton Distributions (GPDs) are applied to study the hard Pseudoscalar Meson Production (PMP) at high energies. The PMP amplitudes are be obtained within the GPDs factorization. They are expressed in terms of GPDs’ convolution functions, which are most essential in PMP reactions. We show that these convolution functions can be extracted from the PMP data in future EIC of China (EicC). Predictions of <span>\\\\(\\\\pi^{0}\\\\)</span> and <span>\\\\(\\\\eta\\\\)</span> production at typical EicC energies are performed.</p>\",\"PeriodicalId\":728,\"journal\":{\"name\":\"Physics of Atomic Nuclei\",\"volume\":\"87 1\",\"pages\":\"65 - 70\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2024-04-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physics of Atomic Nuclei\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://link.springer.com/article/10.1134/S1063778824020194\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHYSICS, NUCLEAR\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics of Atomic Nuclei","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1134/S1063778824020194","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, NUCLEAR","Score":null,"Total":0}
Extraction of Information on Transversity GPDs from \({\pi}^{{0}}\) and \({\eta}\) Production on EIC of China
The General Parton Distributions (GPDs) are applied to study the hard Pseudoscalar Meson Production (PMP) at high energies. The PMP amplitudes are be obtained within the GPDs factorization. They are expressed in terms of GPDs’ convolution functions, which are most essential in PMP reactions. We show that these convolution functions can be extracted from the PMP data in future EIC of China (EicC). Predictions of \(\pi^{0}\) and \(\eta\) production at typical EicC energies are performed.
期刊介绍:
Physics of Atomic Nuclei is a journal that covers experimental and theoretical studies of nuclear physics: nuclear structure, spectra, and properties; radiation, fission, and nuclear reactions induced by photons, leptons, hadrons, and nuclei; fundamental interactions and symmetries; hadrons (with light, strange, charm, and bottom quarks); particle collisions at high and superhigh energies; gauge and unified quantum field theories, quark models, supersymmetry and supergravity, astrophysics and cosmology.