Sparks in the dark
This study presents a novel method for the definition of signal regions in searches for new physics at collider experiments. By leveraging multi-dimensional histograms with precise arithmetic and utilizing the SparkDensityTree library, it is possible to identify high-density regions within the avail...
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| Format: | Article |
| Language: | English |
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SciPost
2025-03-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.18.3.080 |
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| _version_ | 1850024713461432320 |
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| author | Olga Sunneborn Gudnadottir, Axel Gallén, Giulia Ripellino, Jochen J. Heinrich, Raazesh Sainudiin, Rebeca Gonzalez Suarez |
| author_facet | Olga Sunneborn Gudnadottir, Axel Gallén, Giulia Ripellino, Jochen J. Heinrich, Raazesh Sainudiin, Rebeca Gonzalez Suarez |
| author_sort | Olga Sunneborn Gudnadottir, Axel Gallén, Giulia Ripellino, Jochen J. Heinrich, Raazesh Sainudiin, Rebeca Gonzalez Suarez |
| collection | DOAJ |
| description | This study presents a novel method for the definition of signal regions in searches for new physics at collider experiments. By leveraging multi-dimensional histograms with precise arithmetic and utilizing the SparkDensityTree library, it is possible to identify high-density regions within the available phase space, potentially improving sensitivity to very small signals. Inspired by a search for dark mesons at the ATLAS experiment, CMS open data is used for this proof-of-concept intentionally targeting an already excluded signal. Signal regions are defined based on density estimates of signal and background. These preliminary regions align well with the physical properties of the signal while effectively rejecting background events. |
| format | Article |
| id | doaj-art-b3056ec7882a44e9ad2c2fa2733bcb6a |
| institution | DOAJ |
| issn | 2542-4653 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | SciPost |
| record_format | Article |
| series | SciPost Physics |
| spelling | doaj-art-b3056ec7882a44e9ad2c2fa2733bcb6a2025-08-20T03:01:02ZengSciPostSciPost Physics2542-46532025-03-0118308010.21468/SciPostPhys.18.3.080Sparks in the darkOlga Sunneborn Gudnadottir, Axel Gallén, Giulia Ripellino, Jochen J. Heinrich, Raazesh Sainudiin, Rebeca Gonzalez SuarezThis study presents a novel method for the definition of signal regions in searches for new physics at collider experiments. By leveraging multi-dimensional histograms with precise arithmetic and utilizing the SparkDensityTree library, it is possible to identify high-density regions within the available phase space, potentially improving sensitivity to very small signals. Inspired by a search for dark mesons at the ATLAS experiment, CMS open data is used for this proof-of-concept intentionally targeting an already excluded signal. Signal regions are defined based on density estimates of signal and background. These preliminary regions align well with the physical properties of the signal while effectively rejecting background events.https://scipost.org/SciPostPhys.18.3.080 |
| spellingShingle | Olga Sunneborn Gudnadottir, Axel Gallén, Giulia Ripellino, Jochen J. Heinrich, Raazesh Sainudiin, Rebeca Gonzalez Suarez Sparks in the dark SciPost Physics |
| title | Sparks in the dark |
| title_full | Sparks in the dark |
| title_fullStr | Sparks in the dark |
| title_full_unstemmed | Sparks in the dark |
| title_short | Sparks in the dark |
| title_sort | sparks in the dark |
| url | https://scipost.org/SciPostPhys.18.3.080 |
| work_keys_str_mv | AT olgasunneborngudnadottiraxelgallengiuliaripellinojochenjheinrichraazeshsainudiinrebecagonzalezsuarez sparksinthedark |