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Flavour Tagging
The identification of jets that originate from heavy-flavour quarks, referred to as flavour tagging, is a vital tool for many measurements and...
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Quark/gluon discrimination and top tagging with dual attention transformer
Jet tagging is a crucial classification task in high energy physics. Recently the performance of jet tagging has been significantly improved by the...
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ParticleNet and its application on CEPC jet flavor tagging
Quarks (except top quarks) and gluons produced in collider experiments hadronize and fragment into sprays of stable particles, called jets....
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Hierarchical high-point Energy Flow Network for jet tagging
Jet substructure observable basis is a systematic and powerful tool for analyzing the internal energy distribution of constituent particles within a...
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Streamlined jet tagging network assisted by jet prong structure
Attention-based transformer models have become increasingly prevalent in collider analysis, offering enhanced performance for tasks such as jet...
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An efficient Lorentz equivariant graph neural network for jet tagging
Deep learning methods have been increasingly adopted to study jets in particle physics. Since symmetry-preserving behavior has been shown to be an...
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Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks
Extracting longitudinal modes of weak bosons in LHC processes is essential to understand the electroweak-symmetry-breaking mechanism. To that end, we...
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Improving Robustness of Jet Tagging Algorithms with Adversarial Training
Deep learning is a standard tool in the field of high-energy physics, facilitating considerable sensitivity enhancements for numerous analysis...
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Invariant representation driven neural classifier for anti-QCD jet tagging
We leverage representation learning and the inductive bias in neural-net-based Standard Model jet classification tasks, to detect non-QCD signal...
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Neutrino tagging: a new tool for accelerator based neutrino experiments
This article describes a new experimental method for accelerator based neutrino experiments called neutrino tagging . The method consists in...
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Jet flavour tagging for future colliders with fast simulation
Jet flavour identification algorithms are of paramount importance to maximise the physics potential of future collider experiments. This work...
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Anomaly detection from mass unspecific jet tagging
We introduce a novel anomaly search method based on (i) jet tagging to select interesting events, which are less likely to be produced by background...
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Tagging the initial-state gluon
We study the production of an electroweak boson in association with jets, in processes where the jet with the highest transverse momentum is...
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Taming modeling uncertainties with mass unspecific supervised tagging
We address the modeling dependence of jet taggers built using the method of mass unspecific supervised tagging, by using two different parton...
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B-flavor tagging at Belle II
We report on new flavor tagging algorithms developed to determine the quark-flavor content of bottom (
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Investigating top tagging with Ym-Splitter and N-subjettiness
We study top-tagging from an analytical QCD perspective focussing on the role of two key steps therein: a step to find three-pronged substructure and...
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Jet tagging in the Lund plane with graph networks
The identification of boosted heavy particles such as top quarks or vector bosons is one of the key problems arising in experimental studies at the...
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