489 citations · 1.7k across the 20 of their papers we have counts for
20 papers
Parton Labeling without Matching: Unveiling Emergent Labelling Capabilities in Regression Models
Shikai Qiu, Shuo Han, Xiangyang Ju +2
Parton labeling methods are widely used when reconstructing collider events with top quarks or other massive particles. State-of-the-art techniques are based on machine learning an…
Generative Machine Learning for Detector Response Modeling with a Conditional Normalizing Flow
Allison Xu, Shuo Han, Xiangyang Ju +1
In this paper, we explore the potential of generative machine learning models as an alternative to the computationally expensive Monte Carlo (MC) simulations commonly used by the L…
A Holistic Approach to Predicting Top Quark Kinematic Properties with the Covariant Particle Transformer
Shikai Qiu, Shuo Han, Xiangyang Ju +2
Precise reconstruction of top quark properties is a challenging task at the Large Hadron Collider due to combinatorial backgrounds and missing information. We introduce a physics-i…
Search for displaced leptons in TeV collisions with the ATLAS detector
ATLAS Collaboration
A search for charged leptons with large impact parameters using 139 fb of TeV collision data from the ATLAS detector at the LHC is presented, addressing…
Search for resonances decaying into a weak vector boson and a Higgs boson in the fully hadronic final state produced in protonproton collisions at TeV with the ATLAS detector
ATLAS Collaboration
A search for heavy resonances decaying into a or boson and a Higgs boson produced in protonproton collisions at the Large Hadron Collider at TeV is prese…
Transverse momentum and process dependent azimuthal anisotropies in TeV +Pb collisions with the ATLAS detector
ATLAS Collaboration
The azimuthal anisotropy of charged particles produced in TeV +Pb collisions is measured with the ATLAS detector at the LHC. The data correspond to…