Power counting energy flow polynomials
Abstract Power counting is a systematic strategy for organizing collider observables and their associated theoretical calculations. In this paper, we use power counting to characterize a class of jet substructure observables called energy flow polynomials (EFPs)...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2022
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| Online Access: | https://hdl.handle.net/1721.1/145260 |
| _version_ | 1826215106132836352 |
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| author | Cal, Pedro Thaler, Jesse Waalewijn, Wouter J. |
| author2 | Massachusetts Institute of Technology. Center for Theoretical Physics |
| author_facet | Massachusetts Institute of Technology. Center for Theoretical Physics Cal, Pedro Thaler, Jesse Waalewijn, Wouter J. |
| author_sort | Cal, Pedro |
| collection | MIT |
| description | Abstract
Power counting is a systematic strategy for organizing collider observables and their associated theoretical calculations. In this paper, we use power counting to characterize a class of jet substructure observables called energy flow polynomials (EFPs). EFPs provide an overcomplete linear basis for infrared-and-collinear safe jet observables, but it is known that in practice, a small subset of EFPs is often sufficient for specific jet analysis tasks. By applying power counting arguments, we obtain linear relationships between EFPs that hold for quark and gluon jets to a specific order in the power counting. We test these relations in the parton shower generator Pythia, finding excellent agreement. Power counting allows us to truncate the basis of EFPs without affecting performance, which we corroborate through a study of quark-gluon tagging and regression. |
| first_indexed | 2024-09-23T16:16:40Z |
| format | Article |
| id | mit-1721.1/145260 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T16:16:40Z |
| publishDate | 2022 |
| publisher | Springer Berlin Heidelberg |
| record_format | dspace |
| spelling | mit-1721.1/1452602024-01-03T18:34:06Z Power counting energy flow polynomials Cal, Pedro Thaler, Jesse Waalewijn, Wouter J. Massachusetts Institute of Technology. Center for Theoretical Physics Abstract Power counting is a systematic strategy for organizing collider observables and their associated theoretical calculations. In this paper, we use power counting to characterize a class of jet substructure observables called energy flow polynomials (EFPs). EFPs provide an overcomplete linear basis for infrared-and-collinear safe jet observables, but it is known that in practice, a small subset of EFPs is often sufficient for specific jet analysis tasks. By applying power counting arguments, we obtain linear relationships between EFPs that hold for quark and gluon jets to a specific order in the power counting. We test these relations in the parton shower generator Pythia, finding excellent agreement. Power counting allows us to truncate the basis of EFPs without affecting performance, which we corroborate through a study of quark-gluon tagging and regression. 2022-09-06T13:47:51Z 2022-09-06T13:47:51Z 2022-09-02 2022-09-04T03:13:36Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/145260 Journal of High Energy Physics. 2022 Sep 02;2022(9):21 PUBLISHER_CC en https://doi.org/10.1007/JHEP09(2022)021 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The Author(s) application/pdf Springer Berlin Heidelberg Springer Berlin Heidelberg |
| spellingShingle | Cal, Pedro Thaler, Jesse Waalewijn, Wouter J. Power counting energy flow polynomials |
| title | Power counting energy flow polynomials |
| title_full | Power counting energy flow polynomials |
| title_fullStr | Power counting energy flow polynomials |
| title_full_unstemmed | Power counting energy flow polynomials |
| title_short | Power counting energy flow polynomials |
| title_sort | power counting energy flow polynomials |
| url | https://hdl.handle.net/1721.1/145260 |
| work_keys_str_mv | AT calpedro powercountingenergyflowpolynomials AT thalerjesse powercountingenergyflowpolynomials AT waalewijnwouterj powercountingenergyflowpolynomials |