Building and steering binned template fits with cabinetry
The cabinetry library provides a Python-based solution for building and steering binned template fits. It tightly integrates with the pythonic High Energy Physics ecosystem, and in particular with pyhf for statistical inference. cabinetry uses a declarative approach for building statistical models,...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
|
| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_03067.pdf |
| _version_ | 1818717067836129280 |
|---|---|
| author | Cranmer Kyle Held Alexander |
| author_facet | Cranmer Kyle Held Alexander |
| author_sort | Cranmer Kyle |
| collection | DOAJ |
| description | The cabinetry library provides a Python-based solution for building and steering binned template fits. It tightly integrates with the pythonic High Energy Physics ecosystem, and in particular with pyhf for statistical inference. cabinetry uses a declarative approach for building statistical models, with a JSON schema describing possible configuration choices. Model building instructions can additionally be provided via custom code, which is automatically executed when applicable at key steps of the workflow. The library implements interfaces for performing maximum likelihood fitting, upper parameter limit determination, and discovery significance calculation. cabinetry also provides a range of utilities to study and disseminate fit results. These include visualizations of the fit model and data, visualizations of template histograms and fit results, ranking of nuisance parameters by their impact, a goodness-of-fit calculation, and likelihood scans. The library takes a modular approach, allowing users to include some or all of its functionality in their workflow. |
| first_indexed | 2024-12-17T19:29:16Z |
| format | Article |
| id | doaj.art-78a68890765b4fc89eb762d36c2dc09b |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-17T19:29:16Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-78a68890765b4fc89eb762d36c2dc09b2022-12-21T21:35:19ZengEDP SciencesEPJ Web of Conferences2100-014X2021-01-012510306710.1051/epjconf/202125103067epjconf_chep2021_03067Building and steering binned template fits with cabinetryCranmer Kyle0Held Alexander1New York UniversityNew York UniversityThe cabinetry library provides a Python-based solution for building and steering binned template fits. It tightly integrates with the pythonic High Energy Physics ecosystem, and in particular with pyhf for statistical inference. cabinetry uses a declarative approach for building statistical models, with a JSON schema describing possible configuration choices. Model building instructions can additionally be provided via custom code, which is automatically executed when applicable at key steps of the workflow. The library implements interfaces for performing maximum likelihood fitting, upper parameter limit determination, and discovery significance calculation. cabinetry also provides a range of utilities to study and disseminate fit results. These include visualizations of the fit model and data, visualizations of template histograms and fit results, ranking of nuisance parameters by their impact, a goodness-of-fit calculation, and likelihood scans. The library takes a modular approach, allowing users to include some or all of its functionality in their workflow.https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_03067.pdf |
| spellingShingle | Cranmer Kyle Held Alexander Building and steering binned template fits with cabinetry EPJ Web of Conferences |
| title | Building and steering binned template fits with cabinetry |
| title_full | Building and steering binned template fits with cabinetry |
| title_fullStr | Building and steering binned template fits with cabinetry |
| title_full_unstemmed | Building and steering binned template fits with cabinetry |
| title_short | Building and steering binned template fits with cabinetry |
| title_sort | building and steering binned template fits with cabinetry |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_03067.pdf |
| work_keys_str_mv | AT cranmerkyle buildingandsteeringbinnedtemplatefitswithcabinetry AT heldalexander buildingandsteeringbinnedtemplatefitswithcabinetry |