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New tool for kinematic regime estimation in semi-inclusive deep-inelastic scattering
A bstract We introduce a new phenomenological tool based on momentum region indicators to guide the analysis and interpretation of semi-inclusive deep-inelastic scattering measurements. The new tool, referred to as “affinity”, is devised to help visualize and quantify the proximity of any experiment...
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| Published in: | The journal of high energy physics 2022-04, Vol.2022 (4), p.84-31, Article 84 |
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| Main Authors: | , , , , , , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c444t-b35e156ef0cba45480454d7e8193d2495de1071cb833fb31a0d885a34ba33fac3 |
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| cites | cdi_FETCH-LOGICAL-c444t-b35e156ef0cba45480454d7e8193d2495de1071cb833fb31a0d885a34ba33fac3 |
| container_end_page | 31 |
| container_issue | 4 |
| container_start_page | 84 |
| container_title | The journal of high energy physics |
| container_volume | 2022 |
| creator | Boglione, M. Diefenthaler, M. Dolan, S. Gamberg, L. Melnitchouk, W. Pitonyak, D. Prokudin, A. Sato, N. Scalyer, Z. |
| description | A
bstract
We introduce a new phenomenological tool based on momentum region indicators to guide the analysis and interpretation of semi-inclusive deep-inelastic scattering measurements. The new tool, referred to as “affinity”, is devised to help visualize and quantify the proximity of any experimental kinematic bin to a particular hadron production region, such as that associated with transverse momentum dependent factorization. We apply the affinity estimator to existing HERMES and COMPASS data and expected data from Jefferson Lab and the future Electron-Ion Collider. We also provide an interactive notebook based on Machine Learning for fast evaluation of affinity. |
| doi_str_mv | 10.1007/JHEP04(2022)084 |
| format | article |
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bstract
We introduce a new phenomenological tool based on momentum region indicators to guide the analysis and interpretation of semi-inclusive deep-inelastic scattering measurements. The new tool, referred to as “affinity”, is devised to help visualize and quantify the proximity of any experimental kinematic bin to a particular hadron production region, such as that associated with transverse momentum dependent factorization. We apply the affinity estimator to existing HERMES and COMPASS data and expected data from Jefferson Lab and the future Electron-Ion Collider. We also provide an interactive notebook based on Machine Learning for fast evaluation of affinity.</description><identifier>ISSN: 1029-8479</identifier><identifier>EISSN: 1029-8479</identifier><identifier>DOI: 10.1007/JHEP04(2022)084</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Affinity ; Classical and Quantum Gravitation ; Deep Inelastic Scattering or Small-X Physics ; Elementary Particles ; High energy physics ; Inelastic scattering ; Kinematics ; Machine learning ; Physics ; Physics and Astronomy ; PHYSICS OF ELEMENTARY PARTICLES AND FIELDS ; Quantum Field Theories ; Quantum Field Theory ; Quantum Physics ; Regular Article - Theoretical Physics ; Relativity Theory ; Specific QCD Phenomenology ; Specific QCD Phenomenology, Deep Inelastic Scattering or Small-X Physics ; String Theory ; Transverse momentum</subject><ispartof>The journal of high energy physics, 2022-04, Vol.2022 (4), p.84-31, Article 84</ispartof><rights>The Author(s) 2022</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c444t-b35e156ef0cba45480454d7e8193d2495de1071cb833fb31a0d885a34ba33fac3</citedby><cites>FETCH-LOGICAL-c444t-b35e156ef0cba45480454d7e8193d2495de1071cb833fb31a0d885a34ba33fac3</cites><orcidid>0000-0001-5956-4159 ; 0000000159564159</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2650317173/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2650317173?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,25753,27924,27925,37012,44590,75126</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/1863933$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Boglione, M.</creatorcontrib><creatorcontrib>Diefenthaler, M.</creatorcontrib><creatorcontrib>Dolan, S.</creatorcontrib><creatorcontrib>Gamberg, L.</creatorcontrib><creatorcontrib>Melnitchouk, W.</creatorcontrib><creatorcontrib>Pitonyak, D.</creatorcontrib><creatorcontrib>Prokudin, A.</creatorcontrib><creatorcontrib>Sato, N.</creatorcontrib><creatorcontrib>Scalyer, Z.</creatorcontrib><creatorcontrib>The Jefferson Lab Angular Momentum (JAM) collaboration</creatorcontrib><creatorcontrib>Pennsylvania State Univ. Berks, Reading, PA (United States)</creatorcontrib><creatorcontrib>Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)</creatorcontrib><title>New tool for kinematic regime estimation in semi-inclusive deep-inelastic scattering</title><title>The journal of high energy physics</title><addtitle>J. High Energ. Phys</addtitle><description>A
bstract
We introduce a new phenomenological tool based on momentum region indicators to guide the analysis and interpretation of semi-inclusive deep-inelastic scattering measurements. The new tool, referred to as “affinity”, is devised to help visualize and quantify the proximity of any experimental kinematic bin to a particular hadron production region, such as that associated with transverse momentum dependent factorization. We apply the affinity estimator to existing HERMES and COMPASS data and expected data from Jefferson Lab and the future Electron-Ion Collider. We also provide an interactive notebook based on Machine Learning for fast evaluation of affinity.</description><subject>Affinity</subject><subject>Classical and Quantum Gravitation</subject><subject>Deep Inelastic Scattering or Small-X Physics</subject><subject>Elementary Particles</subject><subject>High energy physics</subject><subject>Inelastic scattering</subject><subject>Kinematics</subject><subject>Machine learning</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>PHYSICS OF ELEMENTARY PARTICLES AND FIELDS</subject><subject>Quantum Field Theories</subject><subject>Quantum Field Theory</subject><subject>Quantum Physics</subject><subject>Regular Article - Theoretical Physics</subject><subject>Relativity Theory</subject><subject>Specific QCD Phenomenology</subject><subject>Specific QCD Phenomenology, Deep Inelastic Scattering or Small-X Physics</subject><subject>String Theory</subject><subject>Transverse momentum</subject><issn>1029-8479</issn><issn>1029-8479</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1UU2P0zAUjNAi0S2cuUZw2T2EPn8ksY-rqksXVcBhOVu281Jc0jjYLoh_j0MQcOHij9HMaN6bonhJ4A0BaDfv9ruPwG8oUHoLgj8pVgSorARv5dU_72fFdYwnAFITCavi8T1-L5P3Q9n7UH5xI551crYMeHRnLDEmNwN-LN1YRjy7yo12uET3DcsOccpfHHScJdHqlDC48fi8eNrrIeKL3_e6-HS_e9zuq8OHtw_bu0NlOeepMqxGUjfYgzWa11xAProWBZGso1zWHRJoiTWCsd4woqETotaMG50Bbdm6eFh8O69Pago5avihvHbqF-DDUemQow2ojKQdE00tLZGcUWYAGaFGSsuxAcOz16vFy-dhVLQuof1s_TiiTYqIhknGMun1QpqC_3rJy1EnfwljnlHRpgZGWtLOrM3CssHHGLD_E42AmrtSS1dq7krlrrICFkWc5v1h-Ov7P8lPVd6UyQ</recordid><startdate>20220414</startdate><enddate>20220414</enddate><creator>Boglione, M.</creator><creator>Diefenthaler, M.</creator><creator>Dolan, S.</creator><creator>Gamberg, L.</creator><creator>Melnitchouk, W.</creator><creator>Pitonyak, D.</creator><creator>Prokudin, A.</creator><creator>Sato, N.</creator><creator>Scalyer, Z.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><general>Springer Nature</general><general>SpringerOpen</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>OIOZB</scope><scope>OTOTI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5956-4159</orcidid><orcidid>https://orcid.org/0000000159564159</orcidid></search><sort><creationdate>20220414</creationdate><title>New tool for kinematic regime estimation in semi-inclusive deep-inelastic scattering</title><author>Boglione, M. ; Diefenthaler, M. ; Dolan, S. ; Gamberg, L. ; Melnitchouk, W. ; Pitonyak, D. ; Prokudin, A. ; Sato, N. ; Scalyer, Z.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c444t-b35e156ef0cba45480454d7e8193d2495de1071cb833fb31a0d885a34ba33fac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Affinity</topic><topic>Classical and Quantum Gravitation</topic><topic>Deep Inelastic Scattering or Small-X Physics</topic><topic>Elementary Particles</topic><topic>High energy physics</topic><topic>Inelastic scattering</topic><topic>Kinematics</topic><topic>Machine learning</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>PHYSICS OF ELEMENTARY PARTICLES AND FIELDS</topic><topic>Quantum Field Theories</topic><topic>Quantum Field Theory</topic><topic>Quantum Physics</topic><topic>Regular Article - Theoretical Physics</topic><topic>Relativity Theory</topic><topic>Specific QCD Phenomenology</topic><topic>Specific QCD Phenomenology, Deep Inelastic Scattering or Small-X Physics</topic><topic>String Theory</topic><topic>Transverse momentum</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boglione, M.</creatorcontrib><creatorcontrib>Diefenthaler, M.</creatorcontrib><creatorcontrib>Dolan, S.</creatorcontrib><creatorcontrib>Gamberg, L.</creatorcontrib><creatorcontrib>Melnitchouk, W.</creatorcontrib><creatorcontrib>Pitonyak, D.</creatorcontrib><creatorcontrib>Prokudin, A.</creatorcontrib><creatorcontrib>Sato, N.</creatorcontrib><creatorcontrib>Scalyer, Z.</creatorcontrib><creatorcontrib>The Jefferson Lab Angular Momentum (JAM) collaboration</creatorcontrib><creatorcontrib>Pennsylvania State Univ. 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bstract
We introduce a new phenomenological tool based on momentum region indicators to guide the analysis and interpretation of semi-inclusive deep-inelastic scattering measurements. The new tool, referred to as “affinity”, is devised to help visualize and quantify the proximity of any experimental kinematic bin to a particular hadron production region, such as that associated with transverse momentum dependent factorization. We apply the affinity estimator to existing HERMES and COMPASS data and expected data from Jefferson Lab and the future Electron-Ion Collider. We also provide an interactive notebook based on Machine Learning for fast evaluation of affinity.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/JHEP04(2022)084</doi><tpages>31</tpages><orcidid>https://orcid.org/0000-0001-5956-4159</orcidid><orcidid>https://orcid.org/0000000159564159</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | The journal of high energy physics, 2022-04, Vol.2022 (4), p.84-31, Article 84 |
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| language | eng |
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| subjects | Affinity Classical and Quantum Gravitation Deep Inelastic Scattering or Small-X Physics Elementary Particles High energy physics Inelastic scattering Kinematics Machine learning Physics Physics and Astronomy PHYSICS OF ELEMENTARY PARTICLES AND FIELDS Quantum Field Theories Quantum Field Theory Quantum Physics Regular Article - Theoretical Physics Relativity Theory Specific QCD Phenomenology Specific QCD Phenomenology, Deep Inelastic Scattering or Small-X Physics String Theory Transverse momentum |
| title | New tool for kinematic regime estimation in semi-inclusive deep-inelastic scattering |
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