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 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.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
- Contributing Organization:
- MINERvA
- DOE Contract Number:
- AC02-07CH11359
- OSTI ID:
- 1831482
- Report Number(s):
- FERMILAB-PUB-21-099-E; arXiv:2103.08677; oai:inspirehep.net:1851912
- Journal Information:
- EPJ Web Conf.
- Country of Publication:
- United States
- Language:
- English
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