activity
20142026
most citedParticleNet: Jet Tagging via Particle Clouds

424 citations · 860 across the 26 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

physics.acc-ph2022

The ECFA Early Career Researcher's Panel: composition, structure, and activities, 2021 -- 2022

ECFA Early-Career Researcher Panel, :, Andrei Alexandru Geanta +74

The European Committee for Future Accelerators (ECFA) Early Career Researcher's (ECR) panel, which represents the interests of the ECR community to ECFA, officially began its activ…

hep-ex2022

Second Analysis Ecosystem Workshop Report

Mohamed Aly, Jackson Burzynski, Bryan Cardwell +66

The second workshop on the HEP Analysis Ecosystem took place 23-25 May 2022 at IJCLab in Orsay, to look at progress and continuing challenges in scaling up HEP analysis to meet the…

physics.ins-det2022

Performance of the CMS High Granularity Calorimeter prototype to charged pion beams of 20300 GeV/c

B. Acar, G. Adamov, C. Adloff +454

The upgrade of the CMS experiment for the high luminosity operation of the LHC comprises the replacement of the current endcap calorimeter by a high granularity sampling calorimete…

hep-ph2022★ 7 cited

Optimal transport for a novel event description at hadron colliders

Loukas Gouskos, Fabio Iemmi, Sascha Liechti +3

We propose a novel strategy for disentangling proton collisions at hadron colliders such as the LHC that considerably improves over the current state of the art. Employing a metric…

hep-ph2022

Jets and Jet Substructure at Future Colliders

Ben Nachman, Salvatore Rappoccio, Nhan Tran +24

Even though jet substructure was not an original design consideration for the Large Hadron Collider (LHC) experiments, it has emerged as an essential tool for the current physics p…

hep-ex2022★ 1 cited

Constraints on future analysis metadata systems in High Energy Physics

T. J. Khoo, A. Reinsvold Hall, N. Skidmore +22

In High Energy Physics (HEP), analysis metadata comes in many forms -- from theoretical cross-sections, to calibration corrections, to details about file processing. Correctly appl…

hep-ex2022★ 34 cited

Jet Flavour Tagging for Future Colliders with Fast Simulation

Franco Bedeschi, Loukas Gouskos, Michele Selvaggi

Jet flavour identification algorithms are of paramount importance to maximise the physics potential of future collider experiments. This work describes a novel set of tools allowin…