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20212024
most citedObservation of quantum entanglement in top-quark pairs using the ATLAS detector

111 citations · 376 across the 38 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

hep-ex2023★ 15 cited

Inclusive and differential cross-section measurements of production in collisions at TeV with the ATLAS detector, including EFT and spin-correlation interpretations

ATLAS Collaboration

Measurements of both the inclusive and differential production cross sections of a top-quark-top-antiquark pair in association with a boson () are presented. Final s…

hep-ex2023★ 18 cited

Measurement and interpretation of same-sign boson pair production in association with two jets in collisions at TeV with the ATLAS detector

The ATLAS Collaboration

This paper presents the measurement of fiducial and differential cross sections for both the inclusive and electroweak production of a same-sign -boson pair in association with…

hep-ex2023★ 111 cited

Observation of quantum entanglement in top-quark pairs using the ATLAS detector

ATLAS Collaboration

Entanglement is a key feature of quantum mechanics, with applications in fields such as metrology, cryptography, quantum information, and quantum computation. It has been observed…

hep-ex2023★ 9 cited

Search for Resonant Production of Dark Quarks in the Dijet Final State with the ATLAS Detector

ATLAS Collaboration

This paper presents a search for a new resonance decaying into a pair of dark quarks which hadronise into dark hadrons before promptly decaying back as Standard Model pa…

hep-ex2023★ 6 cited

Search for a new heavy scalar particle decaying into a Higgs boson and a new scalar singlet in final states with one or two light leptons and a pair of -leptons with the ATLAS detector

ATLAS Collaboration

A search for a new heavy scalar particle decaying into a Standard Model (SM) Higgs boson and a new singlet scalar particle is presented. The search uses a proton-proton ($p…

eess.AS2023★ 2 cited

Hybrid AHS: A Hybrid of Kalman Filter and Deep Learning for Acoustic Howling Suppression

Hao Zhang, Meng Yu, Yuzhong Wu +2

Deep learning has been recently introduced for efficient acoustic howling suppression (AHS). However, the recurrent nature of howling creates a mismatch between offline training an…