scholarly journals Probing the triple Higgs boson coupling with machine learning at the LHC

2021 ◽  
Vol 104 (5) ◽  
Author(s):  
Murat Abdughani ◽  
Daohan Wang ◽  
Lei Wu ◽  
Jin Min Yang ◽  
Jun Zhao
2012 ◽  
Vol 86 (7) ◽  
Author(s):  
Christopher Boddy ◽  
Sinead Farrington ◽  
Christopher Hays
Keyword(s):  

2014 ◽  
Vol 89 (3) ◽  
Author(s):  
Cédric Delaunay ◽  
Tobias Golling ◽  
Gilad Perez ◽  
Yotam Soreq
Keyword(s):  

2016 ◽  
Vol 93 (1) ◽  
Author(s):  
Gilad Perez ◽  
Yotam Soreq ◽  
Emmanuel Stamou ◽  
Kohsaku Tobioka
Keyword(s):  

2014 ◽  
Vol 90 (9) ◽  
Author(s):  
M. Cahill-Rowley ◽  
J. Hewett ◽  
A. Ismail ◽  
T. Rizzo
Keyword(s):  

2006 ◽  
Vol 641 (2) ◽  
pp. 198-202 ◽  
Author(s):  
A. Doff ◽  
A.A. Natale
Keyword(s):  

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1129
Author(s):  
Darius A. Faroughy ◽  
Blaž Bortolato ◽  
Jernej F. Kamenik ◽  
Nejc Košnik ◽  
Aleks Smolkovič

We summarize our recent proposals for probing the CP-odd iκ˜t¯γ5th interaction at the LHC and its projected upgrades directly using associated on-shell Higgs boson and top quark or top quark pair production. We first recount how to construct a CP-odd observable based on top quark polarization in Wb→th scattering with optimal linear sensitivity to κ˜. For the corresponding hadronic process pp→thj we then present a method of extracting the phase-space dependent weight function that allows to retain close to optimal sensitivity to κ˜. For the case of top quark pair production in association with the Higgs boson, pp→tt¯h, with semileptonically decaying tops, we instead show how one can construct manifestly CP-odd observables that rely solely on measuring the momenta of the Higgs boson and the leptons and b-jets from the decaying tops without having to distinguish the charge of the b-jets. Finally, we introduce machine learning (ML) and non-ML techniques to study the phase-space optimization of such CP-odd observables. We emphasize a simple optimized linear combination α·ω that gives similar sensitivity as the studied fully fledged ML models. Using α·ω we review sensitivity projections to κ˜ at HL-LHC, HE-LHC, and FCC-hh.


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