Unveiling CP property of top-Higgs coupling with graph neural networks at the LHC-Reference-Cited by-同舟云学术

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Unveiling CP property of top-Higgs coupling with graph neural networks at the LHC

Published:2020-03 Issue: Volume:802 Page:135198
ISSN:0370-2693
Container-title:Physics Letters B
language:en
Short-container-title:Physics Letters B

Author:

Ren Jie,Wu Lei,Yang Jin Min

Funder

National Natural Science Foundation of China

Peng-Huan-Wu Theoretical Physics Innovation Center

CAS Center for Excellence in Particle Physics

CAS Key Research Program of Frontier Sciences

Key R&D Program of Ministry of Science and Technology

Publisher

Elsevier BV

Subject

Nuclear and High Energy Physics

Reference35 articles.

1. Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

2. Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC

3. Observation of Higgs boson production in association with a top quark pair at the LHC with the ATLAS detector

4. A minimal set of top-Higgs anomalous couplings

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1. Determining the CP property of htt¯ coupling via a novel jet substructure observable;Physics Letters B;2024-09

2. Optimize the event selection strategy to study the anomalous quartic gauge couplings at muon colliders using the support vector machine and quantum support vector machine;The European Physical Journal C;2024-08-20

3. Top-philic machine learning;The European Physical Journal Special Topics;2024-07-25

4. Machine learning in high energy physics: a review of heavy-flavor jet tagging at the LHC;The European Physical Journal Special Topics;2024-07-19

5. Returning CP-observables to the frames they belong;SciPost Physics;2024-07-02

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