An Error Analysis Toolkit for Binned Counting Experiments
We introduce the MINERvA Analysis Toolkit (MAT), a utility for centralizing the handling of systematic uncertainties in HEP analyses. The fundamental utilities of the toolkit are the MnvHnD, a powerful histogram container class, and the systematic Universe classes, which provide a modular implementa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_03046.pdf |
| _version_ | 1818594623944130560 |
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| author | Messerly Ben Fine Rob Olivier Andrew |
| author_facet | Messerly Ben Fine Rob Olivier Andrew |
| author_sort | Messerly Ben |
| collection | DOAJ |
| description | We introduce the MINERvA Analysis Toolkit (MAT), a utility for centralizing the handling of systematic uncertainties in HEP analyses. The fundamental utilities of the toolkit are the MnvHnD, a powerful histogram container class, and the systematic Universe classes, which provide a modular implementation of the many universe error analysis approach. These products can be used stand-alone or as part of a complete error analysis prescription. They support the propagation of systematic uncertainty through all stages of analysis, and provide flexibility for an arbitrary level of user customization. This extensible solution to error analysis enables the standardization of systematic uncertainty definitions across an experiment and a transparent user interface to lower the barrier to entry for new analyzers. |
| first_indexed | 2024-12-16T11:03:04Z |
| format | Article |
| id | doaj.art-6ddd2103977c4860be94fcef414fc6a5 |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-16T11:03:04Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-6ddd2103977c4860be94fcef414fc6a52022-12-21T22:33:57ZengEDP SciencesEPJ Web of Conferences2100-014X2021-01-012510304610.1051/epjconf/202125103046epjconf_chep2021_03046An Error Analysis Toolkit for Binned Counting ExperimentsMesserly BenFine RobOlivier Andrew0University of RochesterWe introduce the MINERvA Analysis Toolkit (MAT), a utility for centralizing the handling of systematic uncertainties in HEP analyses. The fundamental utilities of the toolkit are the MnvHnD, a powerful histogram container class, and the systematic Universe classes, which provide a modular implementation of the many universe error analysis approach. These products can be used stand-alone or as part of a complete error analysis prescription. They support the propagation of systematic uncertainty through all stages of analysis, and provide flexibility for an arbitrary level of user customization. This extensible solution to error analysis enables the standardization of systematic uncertainty definitions across an experiment and a transparent user interface to lower the barrier to entry for new analyzers.https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_03046.pdf |
| spellingShingle | Messerly Ben Fine Rob Olivier Andrew An Error Analysis Toolkit for Binned Counting Experiments EPJ Web of Conferences |
| title | An Error Analysis Toolkit for Binned Counting Experiments |
| title_full | An Error Analysis Toolkit for Binned Counting Experiments |
| title_fullStr | An Error Analysis Toolkit for Binned Counting Experiments |
| title_full_unstemmed | An Error Analysis Toolkit for Binned Counting Experiments |
| title_short | An Error Analysis Toolkit for Binned Counting Experiments |
| title_sort | error analysis toolkit for binned counting experiments |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_03046.pdf |
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