Consistent, multidimensional differential histogramming and summary statistics with YODA 2
Andy Buckley, Louie Corpe, Matthew Filipovich, Christian Gutschow, Nick Rozinsky, Simon Thor, Yoran Yeh, Jamie Yellen
SciPost Phys. Codebases 45 (2025) · published 16 January 2025
- doi: 10.21468/SciPostPhysCodeb.45
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DOI | Type | |
---|---|---|
10.21468/SciPostPhysCodeb.45 | Article | |
10.21468/SciPostPhysCodeb.45-r2.0 | Codebase release |
Abstract
Histogramming is often taken for granted, but the power and compactness of partially aggregated, multidimensional summary statistics, and their fundamental connection to differential and integral calculus make them formidable statistical objects, especially when very large data volumes are involved. But expressing these concepts robustly and efficiently in high-dimensional parameter spaces and for large data samples is a highly non-trivial challenge – doubly so if the resulting library is to remain usable by scientists as opposed to software engineers. In this paper we summarise the core principles required for consistent generalised histogramming, and use them to motivate the design principles and implementation mechanics of the re-engineered YODA histogramming library, a key component of physics data–model comparison and statistical interpretation in collider physics.
Cited by 1

Authors / Affiliations: mappings to Contributors and Organizations
See all Organizations.- 1 Andy Buckley,
- 2 3 4 Louie Dartmoor Corpe,
- 5 Matthew Filipovich,
- 6 Christian Gütschow,
- 1 Nick Rozinsky,
- 7 Simon Thor,
- 6 Yoran Yeh,
- 1 Jamie Yellen
- 1 University of Glasgow
- 2 Centre National de la Recherche Scientifique / French National Centre for Scientific Research [CNRS]
- 3 Université Clermont Auvergne / University of Clermont Auvergne
- 4 Institut National de Physique Nucléaire et de Physique des Particules [IN2P3]
- 5 University of Oxford
- 6 University College London [UCL]
- 7 Kungliga Tekniska högskolan / Royal Institute of Technology (KTH) [KTH]
- Horizon 2020 (through Organization: European Commission [EC])
- Science and Technology Facilities Council [STFC]
- University College London [UCL]