TY  - JOUR
AU  - Amacker, Jacob
AU  - Balunas, William
AU  - Beresford, Lydia
AU  - Bortoletto, Daniela
AU  - Frost, James
AU  - Issever, Cigdem
AU  - Liu, Jesse
AU  - McKee, James
AU  - Micheli, Alessandro
AU  - Paredes Saenz, Santiago
AU  - Spannowsky, Michael
AU  - Stanislaus, Beojan
TI  - Higgs self-coupling measurements using deep learning in the  b―bb―b  final state
JO  - Journal of high energy physics
VL  - 12
IS  - 12
SN  - 1029-8479
CY  - [Trieste]
PB  - SISSA
M1  - PUBDB-2021-00149
M1  - arXiv:2004.04240
M1  - IPPP/20/11
SP  - 115
PY  - 2020
AB  - Measuring the Higgs trilinear self-coupling λ<sub>hhh</sub> is experimentally demanding but fundamental for understanding the shape of the Higgs potential. We present a comprehensive analysis strategy for the HL-LHC using di-Higgs events in the four b-quark channel (hh → 4b), extending current methods in several directions. We perform deep learning to suppress the formidable multijet background with dedicated optimisation for BSM λ<sub>hhh</sub> scenarios. We compare the λ<sub>hhh</sub> constraining power of events using different multiplicities of large radius jets with a two-prong structure that reconstruct boosted h → bb decays. We show that current uncertainties in the SM top Yukawa coupling y<sub>t</sub> can modify λ<sub>hhh</sub> constraints by ∼ 20
KW  - CERN LHC Coll: upgrade (INSPIRE)
KW  - potential: Higgs (INSPIRE)
KW  - multiplicity: difference (INSPIRE)
KW  - jet: multiple production (INSPIRE)
KW  - coupling: Yukawa (INSPIRE)
KW  - structure (INSPIRE)
KW  - background (INSPIRE)
KW  - Higgs Physics (autogen)
KW  - Beyond Standard Model (autogen)
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000601400500001
DO  - DOI:10.1007/JHEP12(2020)115
UR  - https://bib-pubdb1.desy.de/record/453758
ER  -