Robust independent validation of experiment and theory: Rivet version 4 release note

The Rivet toolkit is the primary mechanism for phenomenological preservation of collider-physics measurements, containing both a computational core and API for analysis implementation, and a large collection of more than a thousand preserved analyses. In this note we summarise the main changes in the new Rivet 4 major release series. These include a major generalisation and more semantically coherent model for histograms and related data objects, a thorough clean-up of inelegant and legacy observable-computation tools, and new systems for extended analysis-data, incorporation of preserved machine-learning models, and serialization for high-performance computing applications. Where these changes introduce backward-incompatible interface changes, existing analyses have been updated and indications are given on how to update new analysis routines and workflows.

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Publication Details

Journal
SciPost Physics Codebases
Published
2024-11-04
DOI
https://doi.org/10.21468/scipostphyscodeb.36
Citations
9
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
4.15

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article

Robust independent validation of experiment and theory: Rivet version 4 release note

T. Procter, Christian Bierlich, Y. Yeh, Leif Lönnblad et al.
9 citations
SciPost Physics Codebases
Probabilistic and Robust Engineering Design
4.15
article

Robust independent validation of experiment and theory: Rivet version 4 release note

T. Procter, Christian Bierlich, Y. Yeh, Leif Lönnblad, A. G. Buckley, Jonathan Mark Butterworth, Christian Gutschow, Peter Richardson
article en
9 citations

Abstract

The Rivet toolkit is the primary mechanism for phenomenological preservation of collider-physics measurements, containing both a computational core and API for analysis implementation, and a large collection of more than a thousand preserved analyses. In this note we summarise the main changes in the new Rivet 4 major release series. These include a major generalisation and more semantically coherent model for histograms and related data objects, a thorough clean-up of inelegant and legacy observable-computation tools, and new systems for extended analysis-data, incorporation of preserved machine-learning models, and serialization for high-performance computing applications. Where these changes introduce backward-incompatible interface changes, existing analyses have been updated and indications are given on how to update new analysis routines and workflows.

SciPost Physics Codebases
Lund University (SE), Durham University (GB), University College London (GB), University of Glasgow (GB)
University College London, Engineering and Physical Sciences Research Council, Science and Technology Facilities Council, Horizon 2020
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Probabilistic and Robust Engineering Design
4.15
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Robust independent validation of experiment and theory: Rivet version 4 release note — T. Procter, Christian Bierlich, et al. · SciPost Physics Codebases (2024) | TGRS Research Map | TGRS