Bayesian Active Search on Parameter Space: a 95 GeV Spin-0 Resonance in the ($B-L$)SSM

Abstract

In the attempt to explain possible data anomalies from collider experiments in terms of New Physics (NP) models, computationally expensive scans over their parameter spaces are typically required in order to match theoretical predictions to experimental observations. Under the assumption that anomalies seen at a mass of about 95 GeV by the Large Electron-Positron (LEP) and Large Hadron Collider (LHC) experiments correspond to a NP signal, which we attempt to interpret as a spin-0 resonance in the $(B-L)$ Supersymmetric Standard Model ($(B-L)$SSM), chosen as an illustrative example, we introduce a novel Machine Learning (ML) approach based on a multi-objective active search method, called b-CASTOR, able to achieve high sample efficiency and diversity, due to the use of probabilistic surrogate models and a volume based search policy, outperforming competing algorithms, such as those based on Markov-Chain Monte Carlo (MCMC) methods.

References in corpus (56)

• 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
• The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
• MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics
• Search for the Standard Model Higgs Boson at LEP
• SPheno, a program for calculating supersymmetric spectra, SUSY particle decays and SUSY particle production at e+ e- colliders
• SARAH 4: A tool for (not only SUSY) model builders
• SPheno 3.1: extensions including flavour, CP-phases and models beyond the MSSM
• HiggsBounds: Confronting Arbitrary Higgs Sectors with Exclusion Bounds from LEP and the Tevatron
• MadAnalysis 5, a user-friendly framework for collider phenomenology
• HiggsSignals: Confronting arbitrary Higgs sectors with measurements at the Tevatron and the LHC
• GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
• Data analysis recipes: Using Markov Chain Monte Carlo
• Exploring new models in all detail with SARAH
• A Survey of Monte Carlo Methods for Parameter Estimation
• HiggsTools: BSM scalar phenomenology with new versions of HiggsBounds and HiggsSignals
• Nested sampling for physical scientists
• $\text{HEPfit}$: a Code for the Combination of Indirect and Direct Constraints on High Energy Physics Models
• Radiative B-L symmetry breaking in supersymmetric models
• The 96 GeV Diphoton Excess in the Seesaw Extensions of the Natural NMSSM
• Mass spectrum of the minimal SUSY B-L model
• The CMS di-photon excess at 95 GeV in view of the LHC Run 2 results
• Unveiling Hidden Physics at the LHC
• Anomalies in Particle Physics
• $SU(2{)}_L$ triplet scalar as the origin of the 95 GeV excess?
• GAMBIT and its Application in the Search for Physics Beyond the Standard Model
• Scotogenic $U(1{)}_{L_{\mu }-L_{\tau }}$ origin of $(g-2{)}_{\mu }$, W-mass anomaly and 95 GeV excess
• A 95 GeV Higgs Boson in the Georgi-Machacek Model
• Explanation of the 95 GeV $\gamma \gamma$ and $b\bar{b}$ excesses in the Minimal Left-Right Symmetric Model
• Dark Matter Phenomenology in 2HDMS in light of the 95 GeV excess
• Hints of Natural Supersymmetry in Flavor Anomalies?
• The 95 GeV Excess in the Georgi-Machacek Model: Single or Twin Peak Resonance
• LHC signals of a BLSSM CP-even Higgs boson
• The scale invariant scotogenic model: CDF-II $W$-boson mass and the 95 GeV excesses
• Exploring Parameter Spaces with Artificial Intelligence and Machine Learning Black-Box Optimisation Algorithms
• Bayesian Neural Networks for Fast SUSY Predictions
• Superposition of CP-Even and CP-Odd Higgs Resonances: Explaining the 95 GeV Excesses within a Two-Higgs Doublet Model
• Exploration of Parameter Spaces Assisted by Machine Learning
• Active learning BSM parameter spaces
• Is there a (Pseudo)Scalar at 95 GeV?
• When The Standard Model Higgs Meets Its Lighter 95 GeV Twin
• Combining Evolutionary Strategies and Novelty Detection to go Beyond the Alignment Limit of the $Z_3$ 3HDM
• Growing Excesses of New Scalars at the Electroweak Scale
• Global fit of the Aligned Two-Higgs-Doublet Model
• Extended scalar sectors, effective operators and observed data
• Probing intractable beyond-standard-model parameter spaces armed with Machine Learning
• Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization
• The SM expected branching ratio for $h\to \gamma \gamma$ and an excess for $h\to Z\gamma$
• Sarah
• Fast multilabel classification of HEP constraints with deep learning
• Explanation of the Hints for a 95 GeV Higgs Boson within a 2-Higgs Doublet Model
• Light dark matter confronted with the 95 GeV diphoton excess
• Di-photon decay of a light Higgs state in the BLSSM
• Normalizing Flow-Assisted Nested Sampling on Type-II Seesaw Model
• Unified Interpretation of Muon g-2 anomaly, 95 GeV Diphoton, and $b\bar{b}$ Excesses in the General Next-to-Minimal Supersymmetric Standard Model
• hep-aid: A Python Library for Sample Efficient Parameter Scans in Beyond the Standard Model Phenomenology

Cited by in corpus (3)

• Interpreting the 650 GeV and 95 GeV Higgs anomalies in the next-to-two-Higgs-doublet model
• BitHEP -- The Limits of Low-Precision ML in HEP
• Exploring the BSM parameter space with Neural Network aided Simulation-Based Inference