A new model with SU(2)_D symmetry and vector-like muons mediates vector dark matter, simultaneously addressing relic abundance and muon g-2 while identifying an off-resonance suppression mechanism for light DM and deriving collider bounds.
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MadAnalysis 5, a user-friendly framework for collider phenomenology
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abstract
We present MadAnalysis 5, a new framework for phenomenological investigations at particle colliders. Based on a C++ kernel, this program allows to efficiently perform, in a straightforward and user-friendly fashion, sophisticated physics analyses of event files such as those generated by a large class of Monte Carlo event generators. MadAnalysis 5 comes with two modes of running. The first one, easier to handle, uses the strengths of a powerful Python interface in order to implement physics analyses by means of a set of intuitive commands. The second one requires to implement the analyses in the C++ programming language, directly within the core of the analysis framework. This opens unlimited possibilities concerning the level of complexity which can be reached, being only limited by the programming skills and the originality of the user.
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hep-ph 18representative citing papers
Novel multilepton signatures from Higgs decays to a light pseudoscalar decaying to e-mu pairs in type-III 2HDM can set stronger limits on LFV couplings than low-energy experiments.
Colour-sextet top partners in composite Higgs models are excluded up to 2-2.5 TeV by current LHC data via top-rich decays, with HL-LHC reach near 3 TeV.
An iterative ranking-based optimization of cut-and-count using MadAnalysis5 enhances signal-background separation and discovery reach for singly charged Higgs in the Two Higgs Doublet Model.
A Higgs-assisted razor search with ML for Higgsino NLSPs decaying to Bino LSP via Z/h at 100 TeV projects 5σ discovery to 1.4 TeV Higgsino mass (Bino ~0.9 TeV) with 3000 fb^{-1}.
Anomalies in b to c u-bar q transitions remain puzzling as proposed new physics scenarios involving SU(2) doublets are not significantly relaxed by collider dilution or factorization breakdown.
Future muon colliders can probe Kaluza-Klein excitations of a 5D U(1)_{Lμ-Lτ} gauge boson across MeV to TeV masses with couplings down to 10^{-5}.
DNN classifiers with mass-dependent thresholds reduce expected 95% CL upper limits on H to mu tau cross sections by 36-46% versus collinear mass baseline, while a regression network improves mass resolution by up to 21%.
In supersymmetric DFSZ axion models, the LHC with 140 fb^{-1} can probe axion decay constants below 10^{11} GeV for higgsino masses under 1 TeV via displaced neutralino decays to axino LSPs.
Composite Higgs models with SU(2)_L × SU(2)_R predict spin-1 resonances mixing with electroweak bosons that remain viable at the LHC down to masses of about 1.5 TeV.
In the Type-III 2HDM, neutral and heavy charged flavor-violating Higgs decays can exceed 5 sigma significance at 300 fb^{-1} luminosity while the light charged mode is more background-limited.
Soft Z3 breaking in the I(2+1)HDM makes the lightest Z3-charged neutral scalar a dark matter candidate while allowing a long-lived opposite-CP state to contribute to relic density or yield missing-energy plus multi-lepton/jet signatures with displaced vertices at the ILC.
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.
Jarvis-HEP introduces a YAML-based Python framework for composing workflows and performing parameter scans in high-energy physics.
XGBoost machine learning improves discrimination in LHC searches for singlet vector-like leptons, yielding projected 2σ mass exclusion limits of 620 GeV (three-lepton) and 490 GeV (four-lepton) at 14 TeV with 3000 fb^{-1}.
CLIC offers superior discovery potential for doubly charged Higgs bosons in the Higgs triplet model compared to HL-LHC, reaching masses up to 1.2 TeV in gauge-like scenarios and high significance in Yukawa-like regions via same-sign lepton decays.
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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The Muonic Portal to Vector Dark Matter:connecting precision muon physics, cosmology, and colliders
A new model with SU(2)_D symmetry and vector-like muons mediates vector dark matter, simultaneously addressing relic abundance and muon g-2 while identifying an off-resonance suppression mechanism for light DM and deriving collider bounds.
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Novel probes for electron-muon flavor violation from exotic Higgs decays
Novel multilepton signatures from Higgs decays to a light pseudoscalar decaying to e-mu pairs in type-III 2HDM can set stronger limits on LFV couplings than low-energy experiments.
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Composite top partners in exotic colour representations
Colour-sextet top partners in composite Higgs models are excluded up to 2-2.5 TeV by current LHC data via top-rich decays, with HL-LHC reach near 3 TeV.
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Optimizing The Cut And Count Method In Phenomenological Studies
An iterative ranking-based optimization of cut-and-count using MadAnalysis5 enhances signal-background separation and discovery reach for singly charged Higgs in the Two Higgs Doublet Model.
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Higgs Assisted Razor Search for Higgsinos at a 100 TeV pp Collider
A Higgs-assisted razor search with ML for Higgsino NLSPs decaying to Bino LSP via Z/h at 100 TeV projects 5σ discovery to 1.4 TeV Higgsino mass (Bino ~0.9 TeV) with 3000 fb^{-1}.
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New insights into the $b\rightarrow c \bar{u}q$ puzzle through Top-Bottom synergies
Anomalies in b to c u-bar q transitions remain puzzling as proposed new physics scenarios involving SU(2) doublets are not significantly relaxed by collider dilution or factorization breakdown.
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Aspects of a Five-Dimensional $U(1)_{L_\mu - L_\tau}$ Model at Future Muon-Based Colliders
Future muon colliders can probe Kaluza-Klein excitations of a 5D U(1)_{Lμ-Lτ} gauge boson across MeV to TeV masses with couplings down to 10^{-5}.
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Deep Neural Networks for Heavy Lepton-Flavor-Violating Higgs Searches at the LHC
DNN classifiers with mass-dependent thresholds reduce expected 95% CL upper limits on H to mu tau cross sections by 36-46% versus collinear mass baseline, while a regression network improves mass resolution by up to 21%.
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Bridging the divide: axion searches and axino phenomenology at colliders
In supersymmetric DFSZ axion models, the LHC with 140 fb^{-1} can probe axion decay constants below 10^{11} GeV for higgsino masses under 1 TeV via displaced neutralino decays to axino LSPs.
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Phenomenology of electroweak spin-1 resonances
Composite Higgs models with SU(2)_L × SU(2)_R predict spin-1 resonances mixing with electroweak bosons that remain viable at the LHC down to masses of about 1.5 TeV.
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Probing Flavor-Violating Higgs Decays in the Type-III Two-Higgs-Doublet Model at the LHC and HL-LHC
In the Type-III 2HDM, neutral and heavy charged flavor-violating Higgs decays can exceed 5 sigma significance at 300 fb^{-1} luminosity while the light charged mode is more background-limited.
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The $Z_3$ soft breaking in the I(2+1)HDM and its cosmological probes
Soft Z3 breaking in the I(2+1)HDM makes the lightest Z3-charged neutral scalar a dark matter candidate while allowing a long-lived opposite-CP state to contribute to relic density or yield missing-energy plus multi-lepton/jet signatures with displaced vertices at the ILC.
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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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Jarvis-HEP: A lightweight Python framework for workflow composition and parameter scans in high-energy physics
Jarvis-HEP introduces a YAML-based Python framework for composing workflows and performing parameter scans in high-energy physics.
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Machine Learning Study on Single Production of a Singlet Vector-like Lepton at the Large Hadron Collider
XGBoost machine learning improves discrimination in LHC searches for singlet vector-like leptons, yielding projected 2σ mass exclusion limits of 620 GeV (three-lepton) and 490 GeV (four-lepton) at 14 TeV with 3000 fb^{-1}.
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Doubly charged Higgs production within the Higgs triplet model at future electron-positron colliders
CLIC offers superior discovery potential for doubly charged Higgs bosons in the Higgs triplet model compared to HL-LHC, reaching masses up to 1.2 TeV in gauge-like scenarios and high significance in Yukawa-like regions via same-sign lepton decays.
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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.
- Deciphering compressed electroweakino excesses with MadAnalysis 5