Unsupervised Hadronic SUEP at the LHC
arXiv:2107.12379 · doi:10.1007/JHEP12(2021)129
Abstract
Confining dark sectors with pseudo-conformal dynamics produce SUEP, or Soft Unclustered Energy Patterns, at colliders: isotropic dark hadrons with soft and democratic energies. We target the experimental nightmare scenario, SUEPs in exotic Higgs decays, where all dark hadrons decay promptly to SM hadrons. First, we identify three promising observables, the charged particle multiplicity, the event ring isotropy, and the matrix of geometric distances between charged tracks. Their patterns can be exploited through a cut-and-count search, supervised machine learning, or an unsupervised autoencoder. We find that the HL-LHC will probe exotic Higgs branching ratios at the per-cent level, even without a detailed knowledge of the signal features. Our techniques can be applied to other SUEP searches, especially the unsupervised strategy, which is independent of overly specific model assumptions and the corresponding precision simulations.
arXiv comment10 pages, 7 figures + references and appendix v2: Added graph to appendix and fixed typos
References in corpus (79)
- A Large Mass Hierarchy from a Small Extra Dimension
- An Alternative to Compactification
- The anti-k_t jet clustering algorithm
- An Introduction to PYTHIA 8.2
- DELPHES 3, A modular framework for fast simulation of a generic collider experiment
- Secluded WIMP Dark Matter
- Electroweak symmetry breaking from dimensional deconstruction
- The Low-Energy Frontier of Particle Physics
- Echoes of a Hidden Valley at Hadron Colliders
- The Twin Higgs: Natural Electroweak Breaking from Mirror Symmetry
- Combined measurements of Higgs boson production and decay using up to fb of proton-proton collision data at 13 TeV collected with the ATLAS experiment
- ParticleNet: Jet Tagging via Particle Clouds
- Exotic Decays of the 125 GeV Higgs Boson
- The Stueckelberg Extension with Kinetic Mixing and Milli-Charged Dark Matter From the Hidden Sector
- A Minimal Spontaneously Broken Hidden Sector and its Impact on Higgs Boson Physics at the Large Hadron Collider
- Anomaly Detection with Density Estimation
- Kinetic Mixing of the Photon with Hidden U(1)s in String Phenomenology
- LHC Signals for a SuperUnified Theory of Dark Matter
- Classification without labels: Learning from mixed samples in high energy physics
- Probing a Secluded U(1) at B-factories
- Search for invisible decays of a Higgs boson produced through vector boson fusion in proton-proton collisions at 13 TeV
- Phenomenology of Hidden Valleys at Hadron Colliders
- Searching for New Physics with Deep Autoencoders
- Anomaly Detection for Resonant New Physics with Machine Learning
- Mirror dark matter: Cosmology, galaxy structure and direct detection
- Parameterized Machine Learning for High-Energy Physics
- Heavy Dark Matter Through the Higgs Portal
- Novel Effects in Electroweak Breaking from a Hidden Sector
- Emerging Jets
- Combination of searches for invisible Higgs boson decays with the ATLAS experiment
- Deploying a Top-100 Supercomputer for Large Parallel Workloads: the Niagara Supercomputer
- Semi-visible Jets: Dark Matter Undercover at the LHC
- A generic anti-QCD jet tagger
- QCD or What?
- Physics searches at the LHC
- The Gauge-Higgs Legacy of the LHC Run II
- Light dark matter and dark force at colliders
- Phenomenology of A Three-Family Standard-like String Model
- The Scale of Dark QCD
- Statistical hadronisation model and transverse momentum spectra of hadrons in high energy collisions
- Guiding New Physics Searches with Unsupervised Learning
- Variational Autoencoders for New Physics Mining at the Large Hadron Collider
- JUNIPR: a Framework for Unsupervised Machine Learning in Particle Physics
- A comparative analysis of statistical hadron production
- The Thermal Production of Strange and Non-Strange Hadrons in e+e- Collisions
- LHC Searches for Dark Sector Showers
- Autoencoders for unsupervised anomaly detection in high energy physics
- Multi-Step Cascade Annihilations of Dark Matter and the Galactic Center Excess
- Triggering Soft Bombs at the LHC
- Electroweak symmetry breaking and cold dark matter from strongly interacting hidden sector
- Lepton Jets from Radiating Dark Matter
- Searching for Confining Hidden Valleys at the LHC(b)
- Better Latent Spaces for Better Autoencoders
- Perturbative benchmark models for a dark shower search program
- Tagging a jet from a dark sector with Jet-substructures at colliders
- Strongly interacting dark sectors in the early Universe and at the LHC through a simplified portal
- Search for invisible Higgs boson decays in vector boson fusion at TeV with the ATLAS detector
- A deep neural network to search for new long-lived particles decaying to jets
- Casting a graph net to catch dark showers
- Phenomenology of Photon-Jets
- Extra U(1), effective operators, anomalies and dark matter
- Search for Higgs boson decays into two new low-mass spin-0 particles in the 4 channel with the ATLAS detector using collisions at TeV
- On the Phenomenology of Hidden Valleys with Heavy Flavor
- Dark Mesons at the LHC
- The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics
- Black holes and the LHC: A review
- Jet Substructure from Dark Sector Showers
- Multiphotons and Photon-Jets
- Composite Dirac Neutrinos
- Predictions of hadron abundances in pp collisions at the LHC
- The Hagedorn Temperature and Partition Thermodynamics
- Statistical hadronization with exclusive channels in e+e- annihilation
- Jet fragmentation and gauge/string duality
- Twin Higgs Portal Dark Matter
- Digging Deeper for New Physics in the LHC Data
- Effective Field Theory in AdS: Continuum Regime, Soft Bombs, and IR Emergence
- Search for pairs of highly collimated photon-jets in collisions at = 13 TeV with the ATLAS detector
- Displaced Vertices from Hidden Glue
- Spheres To Jets: Tuning Event Shapes with 5d Simplified Models
Cited by in corpus (7)
- Symmetries, Safety, and Self-Supervision
- What's Anomalous in LHC Jets?
- Anomalies, Representations, and Self-Supervision
- Forecasting dark showers at Belle II
- Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences
- Review of Neutral Naturalness
- Theory, phenomenology, and experimental avenues for dark showers: a Snowmass 2021 report