SciPost logo

Reduce, reuse, reinterpret: An end-to-end pipeline for recycling particle physics results

Giordon Stark, Camila Aristimuno Ots, Mike Hance

SciPost Phys. Codebases 27 (2024) · published 28 February 2024

This Publication is part of a bundle

When citing, cite all relevant items (e.g. for a Codebase, cite both the article and the release you used).


Searches for new physics at the Large Hadron Collider have constrained many models of physics beyond the Standard Model. Many searches also provide resources that allow them to be reinterpreted in the context of other models. We describe a reinterpretation pipeline that examines previously untested models of new physics using supplementary information from ATLAS Supersymmetry (SUSY) searches in a way that provides accurate constraints even for models that differ meaningfully from the benchmark models of the original analysis. The public analysis information, such as public analysis routines and serialized probability models, is combined with common event generation and simulation toolkits MADGRAPH, PYTHIA8, and DELPHES into workflows steered by TOML configuration files, and bundled into the mapyde Python package. The use of mapyde is demonstrated by constraining previously untested SUSY models with compressed sleptons and electroweakinos using ATLAS results.

Cited by 1

Crossref Cited-by

Authors / Affiliations: mappings to Contributors and Organizations

See all Organizations.
Funder for the research work leading to this publication