Event shape distribution and the NLP corrections
For the event shapes thrust and c-parameter at next-to-leading order, we examine the origins of next-to-leading power corrections. We track down the origin of these factors for each shape of the event and compare our findings with a recent method that makes use of the eikonal approximation and momen...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2024/24/epjconf_qcd@work2024_00023.pdf |
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| _version_ | 1850247468143345664 |
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| author | Agarwal Neelima van Beekveld Melissa Laenen Eric Mishra Shubham Mukhopadhyay Ayan Tripathi Anurag |
| author_facet | Agarwal Neelima van Beekveld Melissa Laenen Eric Mishra Shubham Mukhopadhyay Ayan Tripathi Anurag |
| author_sort | Agarwal Neelima |
| collection | DOAJ |
| description | For the event shapes thrust and c-parameter at next-to-leading order, we examine the origins of next-to-leading power corrections. We track down the origin of these factors for each shape of the event and compare our findings with a recent method that makes use of the eikonal approximation and momentum changes derived from the Low-Burnett-Kroll-Del Duca theorem. We do an analytical and numerical analysis of the differences. Both precise and approximate findings are described in terms of elliptic integrals for the c-parameter; yet, it exhibits patterns that are similar to those observed in the thrust results near the elastic limit. |
| format | Article |
| id | doaj-art-fa09255b4f1145cda1e31539273cce6e |
| institution | OA Journals |
| issn | 2100-014X |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj-art-fa09255b4f1145cda1e31539273cce6e2025-08-20T01:58:55ZengEDP SciencesEPJ Web of Conferences2100-014X2024-01-013140002310.1051/epjconf/202431400023epjconf_qcd@work2024_00023Event shape distribution and the NLP correctionsAgarwal Neelima0van Beekveld Melissa1Laenen Eric2Mishra Shubham3Mukhopadhyay Ayan4Tripathi Anurag5Department of Physics, Chaitanya Bharathi Institute of TechnologyRudolf Peierls Centre for Theoretical Physics, Clarendon Laboratory, Parks Road, University of OxfordInstitute of Physics, University of AmsterdamDepartment of Physics, Indian Institute of Technology HyderabadDepartment of Physics, Indian Institute of Technology HyderabadDepartment of Physics, Indian Institute of Technology HyderabadFor the event shapes thrust and c-parameter at next-to-leading order, we examine the origins of next-to-leading power corrections. We track down the origin of these factors for each shape of the event and compare our findings with a recent method that makes use of the eikonal approximation and momentum changes derived from the Low-Burnett-Kroll-Del Duca theorem. We do an analytical and numerical analysis of the differences. Both precise and approximate findings are described in terms of elliptic integrals for the c-parameter; yet, it exhibits patterns that are similar to those observed in the thrust results near the elastic limit.https://www.epj-conferences.org/articles/epjconf/pdf/2024/24/epjconf_qcd@work2024_00023.pdf |
| spellingShingle | Agarwal Neelima van Beekveld Melissa Laenen Eric Mishra Shubham Mukhopadhyay Ayan Tripathi Anurag Event shape distribution and the NLP corrections EPJ Web of Conferences |
| title | Event shape distribution and the NLP corrections |
| title_full | Event shape distribution and the NLP corrections |
| title_fullStr | Event shape distribution and the NLP corrections |
| title_full_unstemmed | Event shape distribution and the NLP corrections |
| title_short | Event shape distribution and the NLP corrections |
| title_sort | event shape distribution and the nlp corrections |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2024/24/epjconf_qcd@work2024_00023.pdf |
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