Reduce, Reuse, Reinterpret: an end-to-end pipeline for recycling particle physics results
arXiv:2306.11055 · doi:10.21468/SciPostPhysCodeb.27
Abstract
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.
23 pages, 10 figures, 2 appendices
References in corpus (11)
- The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
- Automatic spin-entangled decays of heavy resonances in Monte Carlo simulations
- A standard format for Les Houches Event Files
- Robust Independent Validation of Experiment and Theory: Rivet version 3
- Towards a public analysis database for LHC new physics searches using MadAnalysis 5
- Constraining new physics with SModelS version 2
- RECAST: Extending the Impact of Existing Analyses
- Publishing statistical models: Getting the most out of particle physics experiments
- Electroweak superpartner production at 13.6 TeV with Resummino
- Two-loop Prediction of the Anomalous Magnetic Moment of the Muon in the Two-Higgs Doublet Model with GM2Calc 2
- EasyScan_HEP: a tool for connecting programs to scan the parameter space of physics models