The BSM-AI project: SUSY-AI - Generalizing LHC limits on Supersymmetry with Machine Learning

Abstract

A key research question at the Large Hadron Collider (LHC) is the test of models of new physics. Testing if a particular parameter set of such a model is excluded by LHC data is a challenge: It requires the time consuming generation of scattering events, the simulation of the detector response, the event reconstruction, cross section calculations and analysis code to test against several hundred signal regions defined by the ATLAS and CMS experiment. In the BSM-AI project we attack this challenge with a new approach. Machine learning tools are thought to predict within a fraction of a millisecond if a model is excluded or not directly from the model parameters. A first example is SUSY-AI, trained on the phenomenological supersymmetric standard model (pMSSM). About 300,000 pMSSM model sets - each tested with 200 signal regions by ATLAS - have been used to train and validate SUSY-AI. The code is currently able to reproduce the ATLAS exclusion regions in 19 dimensions with an accuracy of at least 93 percent. It has been validated further within the constrained MSSM and a minimal natural supersymmetric model, again showing high accuracy. SUSY-AI and its future BSM derivatives will help to solve the problem of recasting LHC results for any model of new physics. SUSY-AI can be downloaded at http://susyai.hepforge.org/. An on-line interface to the program for quick testing purposes can be found at http://www.susy-ai.org/.

References in corpus (39)

• Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC
• Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC
• PYTHIA 6.4 Physics and Manual
• The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
• An Introduction to PYTHIA 8.2
• Averages of $b$-hadron, $c$-hadron, and $\tau$-lepton properties as of summer 2016
• Combined Measurement of the Higgs Boson Mass in $pp$ Collisions at $\sqrt{s}=7$ and 8 TeV with the ATLAS and CMS Experiments
• MadAnalysis 5, a user-friendly framework for collider phenomenology
• SuperIso v3.0: A program for calculating flavor physics observables in 2HDM and supersymmetry
• Threshold resummation for squark-antisquark and gluino-pair production at the LHC
• Soft gluon resummation for the production of gluino-gluino and squark-antisquark pairs at the LHC
• 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 $\sqrt{s}=8$ TeV proton--proton collision data
• Probing New Physics via the $B_s^0\to {\mu }^{+}{\mu }^{-}$ Effective Lifetime
• Search for pair-produced third-generation squarks decaying via charm quarks or in compressed supersymmetric scenarios in $pp$ collisions at $\sqrt{s}=8$TeV with the ATLAS detector
• Search for top squark pair production in final states with one isolated lepton, jets, and missing transverse momentum in $\sqrt{s}=$ 8 TeV pp collisions with the ATLAS detector
• Search for neutral Higgs bosons of the minimal supersymmetric standard model in pp collisions at $\sqrt{s}$ = 8 TeV with the ATLAS detector
• Search for direct top-squark pair production in final states with two leptons in pp collisions at sqrt(s)=8TeV with the ATLAS detector
• Search for resonances in diphoton events at $\sqrt{s}$=13 TeV with the ATLAS detector
• Search for resonant production of high-mass photon pairs in proton-proton collisions at sqrt(s) = 8 and 13 TeV
• Search for direct pair production of the top squark in all-hadronic final states in proton-proton collisions at $\sqrt{s}=8$ TeV with the ATLAS detector
• Searches for heavy long-lived charged particles with the ATLAS detector in proton-proton collisions at $\sqrt{s}$ = 8 TeV
• Search for squarks and gluinos in events with isolated leptons, jets and missing transverse momentum at $\sqrt{s}=8$ TeV with the ATLAS detector
• Search for the direct production of charginos, neutralinos and staus in final states with at least two hadronically decaying taus and missing transverse momentum in $pp$ collisions at $\sqrt{s}$ = 8 TeV with the ATLAS detector
• Search for direct pair production of a chargino and a neutralino decaying to the 125 GeV Higgs boson in $\sqrt{s}$ = 8 TeV pp collisions with the ATLAS detector
• Search for strong production of supersymmetric particles in final states with missing transverse momentum and at least three b-jets at $\sqrt{s}=$ 8 TeV proton-proton collisions with the ATLAS detector
• Search for supersymmetry using razor variables in events with b-tagged jets in pp collisions at sqrt(s) = 8 TeV
• Search for supersymmetry in events with four or more leptons in $\sqrt{s}$ = 8 TeV pp collisions with the ATLAS detector
• Light Stop Searches at the LHC in Events with One Hard Photon or Jet and Missing Energy
• Search for direct top squark pair production in events with a Z boson, b-jets and missing transverse momentum in sqrt(s)=8 TeV pp collisions with the ATLAS detector
• Profile likelihood maps of a 15-dimensional MSSM
• Light Stop Searches at the LHC in Events with two b-Jets and Missing Energy
• Search for supersymmetry in events with large missing transverse momentum, jets, and at least one tau lepton in 20 fb${}^{-1}$ of $\sqrt{s}$=8 TeV proton-proton collision data with the ATLAS detector
• A Coverage Study of the CMSSM Based on ATLAS Sensitivity Using Fast Neural Networks Techniques
• Phenomenological MSSM interpretation of CMS searches in pp collisions at sqrt(s) = 7 and 8 TeV
• Threshold enhancement of diphoton resonances
• Analysing parameter space correlations of recent 13 TeV gluino and squark searches in the pMSSM
• Enhanced Rates for Diphoton Resonances in the MSSM
• First interpretation of 13 TeV supersymmetry searches in the pMSSM

Cited by in corpus (43)

• A New Era in the Quest for Dark Matter
• Deep Learning and its Application to LHC Physics
• CheckMATE 2: From the model to the limit
• Guiding New Physics Searches with Unsupervised Learning
• A global fit of the MSSM with GAMBIT
• SModelS v1.1 user manual
• ColliderBit: a GAMBIT module for the calculation of high-energy collider observables and likelihoods
• DijetGAN: A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC
• Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2
• Searches for the BSM scenarios at the LHC using decision tree based machine learning algorithms: A comparative study and review of Random Forest, Adaboost, XGboost and LightGBM frameworks
• Probing stop pair production at the LHC with graph neural networks
• (Machine) Learning to Do More with Less
• Unveiling CP property of top-Higgs coupling with graph neural networks at the LHC
• Supervised deep learning in high energy phenomenology: a mini review
• Identifying WIMP dark matter from particle and astroparticle data
• Collider limits on new physics within micrOMEGAs4.3
• Testing electroweak SUSY for muon $g-2$ and dark matter at the LHC and beyond
• Constraining the Parameters of High-Dimensional Models with Active Learning
• Supersymmetry with Dark Matter is still natural
• Efficient sampling of constrained high-dimensional theoretical spaces with machine learning
• Higgs self-coupling measurements using deep learning in the $b\bar{b}b\bar{b}$ final state
• Probing triple Higgs coupling with machine learning at the LHC
• The current status of fine-tuning in supersymmetry
• Precision SMEFT bounds from the VBF Higgs at high transverse momentum
• Corrections to di-Higgs boson production with light stops and modified Higgs couplings
• Bayesian Neural Networks for Fast SUSY Predictions
• Exploring Parameter Spaces with Artificial Intelligence and Machine Learning Black-Box Optimisation Algorithms
• Using Machine Learning to disentangle LHC signatures of Dark Matter candidates
• On the coverage of neutralino dark matter in coannihilations at the upgraded LHC
• EasyScan_HEP: a tool for connecting programs to scan the parameter space of physics models
• Searching for heavy Higgs in supersymmetric final states at the LHC
• Mixture-of-theories Training: Can We Find New Physics and Anomalies Better by Mixing Physical Theories?
• Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models
• Combining Evolutionary Strategies and Novelty Detection to go Beyond the Alignment Limit of the $Z_3$ 3HDM
• Probing the Electroweakino Sector of General Gauge Mediation at the LHC
• First interpretation of 13 TeV supersymmetry searches in the pMSSM
• SCYNet: Testing supersymmetric models at the LHC with neural networks
• Fast multilabel classification of HEP constraints with deep learning
• Radiative corrections to stop-antistop annihilation into gluons and light quarks
• Heavy $Z^{\prime }$ Bosons in the Secluded $U(1{)}^{\prime }$ Model at Hadron Colliders
• Exploring Scotogenic Parameter Spaces and Mapping Uncharted Dark Matter Phenomenology with Multi-Objective Search Algorithms
• Mono-b events from single stop production at the HL-LHC and HE-LHC
• Universal New Physics Latent Space