MadGraph5_aMC@NLO automates tree-level, NLO, shower-matched, and merged cross-section computations for collider processes in a unified flexible framework.
Mixed citations
A framework for Higgs characterisation
Mixed citation behavior. Most common role is background (60%).
abstract
We introduce a framework, based on an effective field theory approach, that allows one to perform characterisation studies of the boson recently discovered at the LHC, for all the relevant channels and in a consistent, systematic and accurate way. The production and decay of such a boson with various spin and parity assignments can be simulated by means of multi-parton, tree-level matrix elements and of next-to-leading order QCD calculations, both matched with parton showers. Several sample applications are presented which show, in particular, that beyond-leading-order effects in QCD have non-trivial phenomenological implications.
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representative citing papers
A GNN pretrained on 120M simulated HEP events generalizes to unseen processes and ATLAS data; fine-tuning boosts accuracy especially with small datasets, with CKA showing preserved encoders but altered intermediate layers.
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.
Semi-leptonic h to VV* decays retain an effective two-qutrit description for quantum tomography and entanglement after including finite fermion masses and NLO corrections.
Updated constraints from the full Run 2 dataset show no evidence for anomalous Higgs couplings in gluon fusion, vector boson fusion, and associated production modes decaying to two photons.
CMS derives limits on six SMEFT Wilson coefficients, excludes topphilic resonances between 400-1600 GeV, and extracts the top Yukawa coupling from multi-lepton top events in 138 fb^{-1} of 13 TeV data.
Reviews advances toward global SMEFT fits across top, Higgs, and electroweak sectors including NLO QCD effects and multi-sector combinations.
citing papers explorer
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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.
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Pretrained Event Classification Model for High Energy Physics Analysis
A GNN pretrained on 120M simulated HEP events generalizes to unseen processes and ATLAS data; fine-tuning boosts accuracy especially with small datasets, with CKA showing preserved encoders but altered intermediate layers.
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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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Quantum Tomography and Entanglement in Semi-Leptonic $h\to VV^*$ Decays at Higher Orders
Semi-leptonic h to VV* decays retain an effective two-qutrit description for quantum tomography and entanglement after including finite fermion masses and NLO corrections.
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Constraints on anomalous Higgs boson couplings to vector bosons and fermions using the $\gamma\gamma$ final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV
Updated constraints from the full Run 2 dataset show no evidence for anomalous Higgs couplings in gluon fusion, vector boson fusion, and associated production modes decaying to two photons.
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Search for physics beyond the standard model in four and three top quark production events using proton-proton collisions at $\sqrt{s}$ = 13 TeV
CMS derives limits on six SMEFT Wilson coefficients, excludes topphilic resonances between 400-1600 GeV, and extracts the top Yukawa coupling from multi-lepton top events in 138 fb^{-1} of 13 TeV data.
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Towards global fits in EFT's and New Physics implications
Reviews advances toward global SMEFT fits across top, Higgs, and electroweak sectors including NLO QCD effects and multi-sector combinations.