Preprint

PUBDB-2022-01293

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Probing highly collimated photon-jets with deep learning

Ai, X. (Corresponding author)DESY* ; Hsu, S.-C. ; Li, K.Extern* ; Lu, C.-T.

2022

This record in other databases:    

Please use a persistent id in citations: doi:10.3204/PUBDB-2022-01293

Report No.: DESY-22-034; arXiv:2203.16703

Abstract: Many extensions of the standard model (SM) predict the existence of axion-likeparticles and/or dark Higgs in the sub-GeV scale. Two new sub-GeV particles, a scalar anda pseudoscalar, produced through the Higgs boson exotic decays, are investigated. The decaysignatures of these two new particles with highly collimated photons in the final states arediscriminated from the ones of SM backgrounds using the Convolutional Neural Networks andBoosted Decision Trees techniques. The sensitivities of searching for such new physics signaturesat the Large Hadron Collider are obtained.

Keyword(s): decay: exotic ; new physics: signature ; collimator ; axion-like particles ; sensitivity ; photon ; new particle ; CERN LHC Coll ; background ; Higgs particle ; neural network ; pseudoscalar

---

Contributing Institute(s):

1. LHC/ATLAS Experiment (ATLAS)

Research Program(s):

1. 611 - Fundamental Particles and Forces (POF4-611) (POF4-611)

Experiment(s):

1. LHC: ATLAS

Appears in the scientific report 2022

---

Database coverage:
; ; Published

---

---

Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Journal Article Ai, X. (Corresponding author)DESY* ; Hsu, S.-C. ; Li, K.Extern* ; Lu, C.-T.
Probing highly collimated photon-jets with deep learning
202320th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2021, DaejeonDaejeon, South Korea, 29 Nov 2021 - 3 Dec 20212021-11-292021-12-03 Journal of physics / Conference Series 2438(1), 012114 (2023) [10.1088/1742-6596/2438/1/012114]2023     Files  Fulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

---