RANs generalize moment unfolding to full phase-space unbinned unfolding via detector-level Wasserstein critics without requiring support overlap or multiple iterations.
Towards an understanding of jet substructure
9 Pith papers cite this work. Polarity classification is still indexing.
9
Pith papers citing it
abstract
We present first analytic, resummed calculations of the rates at which widespread jet substructure tools tag QCD jets. As well as considering trimming, pruning and the mass-drop tagger, we introduce modified tools with improved analytical and phenomenological behaviours. Most taggers have double logarithmic resummed structures. The modified mass-drop tagger is special in that it involves only single logarithms, and is free from a complex class of terms known as non-global logarithms. The modification of pruning brings an improved ability to discriminate between the different colour structures that characterise signal and background. As we outline in an extensive phenomenological discussion, these results provide valuable insight into the performance of existing tools and help lay robust foundations for future substructure studies.
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CMS measures soft-drop groomed radius and momentum balance plus a charged fragmentation function for b jets, observing dead-cone suppression compared to inclusive jets.
Proof-of-principle for hadron-in-fat-jet AI tagging that yields an expected 95% CL limit of B(W±→π±γ) < 2.78×10^{-5} at 450 fb^{-1}.
CMS sets 95% CL upper limits on σ(X)B(X→ZZ) (300 pb–24 fb) and σ(Z')B(Z'→ZH) (0.4 pb–12 fb) for resonances up to 6 TeV in the bbττ channel with no SM deviation observed.
Reinterpretation of monojet and mono-V searches sets upper limits on excited-neutrino production, excluding masses up to ~4 TeV in benchmark scenarios.
Resummed predictions for b-jet angularities including finite-mass effects and non-perturbative corrections are computed and compared to light-flavour jets.
Explainability techniques applied to LundNet show that assigned node importance correlates with classical jet substructure observables such as N-subjettiness ratios and energy correlation functions, with shifts across transverse-momentum regimes.
Reviews selected challenges in Monte Carlo event generators for future lepton colliders including electroweak corrections, initial-state radiation, beam dynamics, perturbative QCD and non-perturbative modelling.
citing papers explorer
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Reweighting Adversarial Networks for Unbinned Unfolding
RANs generalize moment unfolding to full phase-space unbinned unfolding via detector-level Wasserstein critics without requiring support overlap or multiple iterations.
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Jet fragmentation function and groomed substructure of bottom quark jets in proton-proton collisions at 5.02 TeV
CMS measures soft-drop groomed radius and momentum balance plus a charged fragmentation function for b jets, observing dead-cone suppression compared to inclusive jets.
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"Hadron-in-fat-jet'' AI Tagging to Detect Rare Decays Such as $W^{\pm}\to\pi^{\pm}\gamma$
Proof-of-principle for hadron-in-fat-jet AI tagging that yields an expected 95% CL limit of B(W±→π±γ) < 2.78×10^{-5} at 450 fb^{-1}.
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Study of ZZ and ZH production in the bb$\tau\tau$ final state and search for high-mass spin-0 and spin-1 resonances in proton-proton collisions at $\sqrt{s}$ = 13 TeV
CMS sets 95% CL upper limits on σ(X)B(X→ZZ) (300 pb–24 fb) and σ(Z')B(Z'→ZH) (0.4 pb–12 fb) for resonances up to 6 TeV in the bbττ channel with no SM deviation observed.
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Reinterpretation of ATLAS and CMS searches in monojet and mono-$V$ final states: prospects of limits on excited neutrinos
Reinterpretation of monojet and mono-V searches sets upper limits on excited-neutrino production, excluding masses up to ~4 TeV in benchmark scenarios.
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Phenomenology of heavy-flavour jet angularities at hadron colliders
Resummed predictions for b-jet angularities including finite-mass effects and non-perturbative corrections are computed and compared to light-flavour jets.
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Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane
Explainability techniques applied to LundNet show that assigned node importance correlates with classical jet substructure observables such as N-subjettiness ratios and energy correlation functions, with shifts across transverse-momentum regimes.
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Monte Carlo Event Generators for Future Lepton Colliders
Reviews selected challenges in Monte Carlo event generators for future lepton colliders including electroweak corrections, initial-state radiation, beam dynamics, perturbative QCD and non-perturbative modelling.
- Looking inside jets: an introduction to jet substructure and boosted-object phenomenology