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From the 1 of 6 linked papers with an AI index.

most citedPrecision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network

4 citations · 14 across the 6 of their papers we have counts for

collaborators

5 papers

hep-ex2026

Search for emerging jets in collisions at TeV with the ATLAS experiment

ATLAS Collaboration

The ATLAS experiment analyzed 140 fb⁻¹ of 13 TeV proton‑proton collisions to search for emerging jets—jets containing multiple displaced vertices from long‑lived dark hadrons—and s…

hep-ex20261 cited

Search for the Higgs boson decay to a boson and a photon in collisions at TeV and TeV with the ATLAS detector

ATLAS Collaboration

A search for the Higgs boson decay to a boson and a photon in the () final state is performed using collisions at TeV recorded w…

hep-ex20263 cited

Study of Higgs boson pair production in the final state with 308 fb of data collected at 13 TeV and 13.6 TeV by the ATLAS experiment

ATLAS Collaboration

A search for Higgs boson pair production in the final state is performed. The proton-proton collision dataset corresponds to an integrated luminosity of 308 fb$^{-…

hep-ex20264 cited

Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network

ATLAS Collaboration

The ATLAS experiment at the Large Hadron Collider explores the use of modern neural networks for a multi-dimensional calibration of its calorimeter signal defined by clusters of to…

hep-ex20263 cited

Transforming jet flavour tagging at ATLAS

ATLAS Collaboration

Jet flavour tagging enables the identification of jets originating from heavy-flavour quarks in proton-proton collisions at the Large Hadron Collider, playing a critical role in it…