Journal
PHYSICS LETTERS B
Volume 802, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.physletb.2020.135198
Keywords
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Funding
- National Natural Science Foundation of China (NNSFC) [11705093, 11675242, 11821505, 11851303]
- Peng-Huan-Wu Theoretical Physics Innovation Center [11747601]
- CAS Center for Excellence in Particle Physics (CCEPP)
- CAS Key Research Program of Frontier Sciences
- Key R&D Program of Ministry of Science and Technology [2017YFA0402200-04]
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The top-Higgs coupling plays an important role in particle physics and cosmology. The precision measurements of this coupling can provide an insight to new physics beyond the Standard Model. In this paper, we propose to use Message Passing Neural Network (MPNN) to reveal the CP nature of top-Higgs interaction through semi-leptonic channel pp -> t(-> bl(-) v(l))(t) over bar(->(b) over bar jj)h(-> b (b) over bar). Using the test statistics constructed from the event classification probabilities given by the MPNN, we find that the pure CP-even and CP-odd components can be well distinguished at the LHC, with at most 300 fb(-1) experimental data. (C) 2020 The Authors. Published by Elsevier B.V.
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