Probing highly collimated photon-jets with deep learning
High Energy Physics - Phenomenology
2023-03-01 v1
Abstract
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.
Cite
@article{arxiv.2203.16703,
title = {Probing highly collimated photon-jets with deep learning},
author = {Xiaocong Ai and Shih-Chieh Hsu and Ke Li and Chih-Ting Lu},
journal= {arXiv preprint arXiv:2203.16703},
year = {2023}
}