Strength in numbers: optimal and scalable combination of LHC new-physics searches
arXiv:2209.00025 · doi:10.21468/SciPostPhys.14.4.077
Abstract
To gain a comprehensive view of what the LHC tells us about physics beyond the Standard Model (BSM), it is crucial that different BSM-sensitive analyses can be combined. But in general, search analyses are not statistically orthogonal, so performing comprehensive combinations requires knowledge of the extent to which the same events co-populate multiple analyses' signal regions. We present a novel, stochastic method to determine this degree of overlap and a graph algorithm to efficiently find the combination of signal regions with no mutual overlap that optimises expected upper limits on BSM-model cross-sections. The gain in exclusion power relative to single-analysis limits is demonstrated with models with varying degrees of complexity, ranging from simplified models to a 19-dimensional supersymmetric model.
35 pages, 15 figures. Updated version for SciPost submission
References in corpus (11)
- An Introduction to PYTHIA 8.2
- LHAPDF6: parton density access in the LHC precision era
- Robust Independent Validation of Experiment and Theory: Rivet version 3
- Search for direct production of charginos, neutralinos and sleptons in final states with two leptons and missing transverse momentum in pp collisions at sqrt(s) = 8 TeV with the ATLAS detector
- Search for squarks and gluinos with the ATLAS detector in final states with jets and missing transverse momentum using TeV proton--proton collision data
- Towards a public analysis database for LHC new physics searches using MadAnalysis 5
- Search for pair-produced third-generation squarks decaying via charm quarks or in compressed supersymmetric scenarios in collisions at TeV with the ATLAS detector
- Testing new physics models with global comparisons to collider measurements: the Contur toolkit
- Closing in on -channel simplified dark matter models
- Search for supersymmetry in final states with photons and missing transverse momentum in proton-proton collisions at 13 TeV
- Artificial Proto-Modelling: Building Precursors of a Next Standard Model from Simplified Model Results