TY  - JOUR
AU  - Ai, Xiaocong
AU  - Hsu, Shih-Chieh
AU  - Li, Kena
AU  - Lu, Chih-Ting
TI  - Probing highly collimated photon-jets with deep learning
JO  - Journal of physics / Conference Series
VL  - 2438
IS  - 1
SN  - 1742-6588
CY  - Bristol
PB  - IOP Publ.
M1  - PUBDB-2025-02560
M1  - arXiv:2203.16703
M1  - DESY-22-034
SP  - 012114 
PY  - 2023
AB  - Many extensions of the standard model (SM) predict the existence of axion-like particles and/or dark Higgs in the sub-GeV scale. Two new sub-GeV particles, a scalar and a pseudoscalar, produced through the Higgs boson exotic decays, are investigated. The decay signatures of these two new particles with highly collimated photons in the final states are discriminated from the ones of SM backgrounds using the Convolutional Neural Networks and Boosted Decision Trees techniques. The sensitivities of searching for such new physics signatures at the Large Hadron Collider are obtained.
T2  - 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research
CY  - 29 Nov 2021 - 3 Dec 2021, Daejeon (South Korea)
Y2  - 29 Nov 2021 - 3 Dec 2021
M2  - Daejeon, South Korea
KW  - decay: exotic (INSPIRE)
KW  - new physics: signature (INSPIRE)
KW  - collimator (INSPIRE)
KW  - axion-like particles (INSPIRE)
KW  - sensitivity (INSPIRE)
KW  - photon (INSPIRE)
KW  - new particle (INSPIRE)
KW  - CERN LHC Coll (INSPIRE)
KW  - background (INSPIRE)
KW  - Higgs particle (INSPIRE)
KW  - neural network (INSPIRE)
KW  - pseudoscalar (INSPIRE)
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)16
DO  - DOI:10.1088/1742-6596/2438/1/012114
UR  - https://bib-pubdb1.desy.de/record/634646
ER  -