An XFEL Compton gamma-gamma collider at 125 GeV with a set transformer deep learning classifier on particle-flow point clouds can achieve high-precision Higgs measurements across hadronic, semi-leptonic, and leptonic final states including H to strange quarks.
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WHIZARD: Simulating Multi-Particle Processes at LHC and ILC
15 Pith papers cite this work. Polarity classification is still indexing.
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abstract
We describe the universal Monte-Carlo event generator WHIZARD. The program automatically computes complete tree-level matrix elements, integrates them over phase space, evaluates distributions of observables, and generates unweighted event samples that can be used directly in detector simulation. There is no principal limit on the process complexity; using current hardware, the program has successfully been applied to hard scattering processes with up to eight particles in the final state. Matrix elements are computed as helicity amplitudes, so spin and color correlations are retained. The Standard Model, the MSSM, and many alternative models such as Little Higgs, anomalous couplings, or effects of extra dimensions or noncommutative SM extensions have been implemented. Using standard interfaces to PDF, beamstrahlung, parton shower and hadronization programs, WHIZARD generates complete physical events and covers physics at hadron, lepton, and photon colliders.
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representative citing papers
Proposes a numerical cross-validation procedure for SMEFT Monte Carlo implementations by comparing linearized EFT amplitudes and their SM interferences at fixed points.
MadGraph5_aMC@NLO automates tree-level, NLO, shower-matched, and merged cross-section computations for collider processes in a unified flexible framework.
FCC-ee projections show percent to per-mil precision on Higgs hadronic decay rates including first sensitivity to the rare H to strange-strange mode.
A forward neutrino detector at a muon collider can exceed current and upcoming bounds on non-standard neutrino interactions by exploiting high neutrino flux, known flavor composition, and chirality.
A framework based on the YFS theorem enables process-independent local IR subtraction and resummation matching for automated NNLO_EW calculations in lepton collider processes.
Deep learning on all particles via holistic analysis and Advanced Color Singlet Identification improves Higgs signal extraction up to sixfold in high-energy collisions.
FCC-ee projections indicate at least 10 times better precision on the H to tau tau cross-section than the LHC through ZH and VBF channels plus improved tau reconstruction methods.
Forward muon detection at muon colliders enables Higgs property measurements, invisible new physics searches via Higgs portal, and characterization of vector boson scattering through angular correlations.
Gradient boosted decision trees suppress diphoton backgrounds while adaptive symbolic memetic regression corrects beam deflection biases, reaching luminosity uncertainties below 10^{-4} and 5x10^{-6}.
FCC-ee at 240 GeV with 10.8 ab^{-1} could set a 95% CL upper limit of 0.15% on the branching ratio of Higgs to invisible particles.
Benchmarks in the 2HDMS model with light to heavy dark matter masses are identified under all constraints and shown to have better discovery prospects at future lepton colliders than at the HL-LHC via cut-and-count analyses.
Simulation projects 2.0 sigma significance for resonant Higgs production at FCC-ee, yielding an upper limit of kappa_e less than or equal to 1.35 at 95% CL on the electron Yukawa coupling modifier with 10 ab inverse luminosity.
The document reports the first year of activity of the VBSCan COST Action network on vector-boson scattering phenomenology and experiments from a 2018 workshop.
A primer that surveys the architecture, methodologies, computational challenges, and future trajectory of the Monte Carlo event generator ecosystem in collider physics.
citing papers explorer
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Higgs Physics with the XFEL Compton $\boldsymbol{\gamma\gamma}$ Collider Concept at $\boldsymbol{\sqrt{s}=125}$ GeV
An XFEL Compton gamma-gamma collider at 125 GeV with a set transformer deep learning classifier on particle-flow point clouds can achieve high-precision Higgs measurements across hadronic, semi-leptonic, and leptonic final states including H to strange quarks.
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Proposal for the validation of Monte Carlo implementations of the standard model effective field theory
Proposes a numerical cross-validation procedure for SMEFT Monte Carlo implementations by comparing linearized EFT amplitudes and their SM interferences at fixed points.
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The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
MadGraph5_aMC@NLO automates tree-level, NLO, shower-matched, and merged cross-section computations for collider processes in a unified flexible framework.
-
Precision Measurements of Higgs Hadronic Decay Modes at the FCC-ee
FCC-ee projections show percent to per-mil precision on Higgs hadronic decay rates including first sensitivity to the rare H to strange-strange mode.
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Non-Standard Neutrino Interactions at a Muon Collider Neutrino Detector
A forward neutrino detector at a muon collider can exceed current and upcoming bounds on non-standard neutrino interactions by exploiting high neutrino flux, known flavor composition, and chirality.
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Towards a Fully Automated Differential $\text{NNLO}_\text{EW}$ Generator for Lepton Colliders
A framework based on the YFS theorem enables process-independent local IR subtraction and resummation matching for automated NNLO_EW calculations in lepton collider processes.
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Learning from all particles in high-energy collisions
Deep learning on all particles via holistic analysis and Advanced Color Singlet Identification improves Higgs signal extraction up to sixfold in high-energy collisions.
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Projections of H$\to\tau\tau$ cross-section at FCC-ee
FCC-ee projections indicate at least 10 times better precision on the H to tau tau cross-section than the LHC through ZH and VBF channels plus improved tau reconstruction methods.
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Why detect forward muons at a muon collider
Forward muon detection at muon colliders enables Higgs property measurements, invisible new physics searches via Higgs portal, and characterization of vector boson scattering through angular correlations.
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Novel Machine Learning Methods to Improve Z Pole Integrated Luminosity at Future Colliders
Gradient boosted decision trees suppress diphoton backgrounds while adaptive symbolic memetic regression corrects beam deflection biases, reaching luminosity uncertainties below 10^{-4} and 5x10^{-6}.
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Prospects for Measuring $H\to \rm{invisble}$ at the FCCee
FCC-ee at 240 GeV with 10.8 ab^{-1} could set a 95% CL upper limit of 0.15% on the branching ratio of Higgs to invisible particles.
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Search for Dark Matter in 2HDMS at LHC and future Lepton Colliders
Benchmarks in the 2HDMS model with light to heavy dark matter masses are identified under all constraints and shown to have better discovery prospects at future lepton colliders than at the HL-LHC via cut-and-count analyses.
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Probing the electron Yukawa coupling via resonant Higgs boson production at FCC-ee via $e^+e^- \to H \to WW^*$ in lepton-plus-jets final states
Simulation projects 2.0 sigma significance for resonant Higgs production at FCC-ee, yielding an upper limit of kappa_e less than or equal to 1.35 at 95% CL on the electron Yukawa coupling modifier with 10 ab inverse luminosity.
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VBSCan Thessaloniki 2018 Workshop Summary
The document reports the first year of activity of the VBSCan COST Action network on vector-boson scattering phenomenology and experiments from a 2018 workshop.
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The Monte Carlo Ecosystem in High-Energy Physics: A Primer
A primer that surveys the architecture, methodologies, computational challenges, and future trajectory of the Monte Carlo event generator ecosystem in collider physics.