PT Journal
AU ATLAS Collaboration (Aad, Gea
   Aparisi Pozo, JA
   Bailey, AJ
   Cabrera Urban, S
   Castillo, FL
   Castillo Gimenez, V
   Costa, MJ
   Escobar, C
   Estrada Pastor, O
   Ferrer, A
   Fiorini, L
   Fullana Torregrosa, E
   Fuster, J
   Garcia, C
   Garcia Navarro, JE
   Gonzalez de la Hoz, S
   Gonzalvo Rodriguez, GR
   Guerrero Rojas, JGR
   Higon-Rodriguez, E
   Lacasta, C
   Lozano Bahilo, JJ
   Madaffari, D
   Mamuzic, J
   Marti-Garcia, S
   Martinez Agullo, P
   Mitsou, VA
   Moreno Llacer, M
   Poveda, J
   Rodriguez Bosca, S
   Ruiz-Martinez, A
   Salt, J
   Santra, A
   Sayago Galvan, I
   Soldevila, U
   Sanchez, J
   Valero, A
   Valls Ferrer, JA
   Vos, M
TI Reconstruction and identification of boosted di-tau systems in a search for Higgs boson pairs using 13 TeV proton-proton collision data in ATLAS
SO Journal of High Energy Physics
JI J. High Energy Phys.
PY 2020
BP 163
EP 47pp
VL 11
IS 11
DI 10.1007/JHEP11(2020)163
LA English
DE Beyond Standard Model; Hadron-Hadron scattering (experiments); Higgs physics; Tau Physics
AB In this paper, a new technique for reconstructing and identifying hadronically decaying tau (+)tau (-) pairs with a large Lorentz boost, referred to as the di-tau tagger, is developed and used for the first time in the ATLAS experiment at the Large Hadron Collider. A benchmark di-tau tagging selection is employed in the search for resonant Higgs boson pair production, where one Higgs boson decays into a boosted bbbar pair and the other into a boosted tau (+)tau (-) pair, with two hadronically decaying tau -leptons in the final state. Using 139 fb(-1) of proton-proton collision data recorded at a centre-of-mass energy of 13 TeV, the efficiency of the di-tau tagger is determined and the background with quark- or gluon-initiated jets misidentified as di-tau objects is estimated. The search for a heavy, narrow, scalar resonance produced via gluon-gluon fusion and decaying into two Higgs bosons is carried out in the mass range 1-3 TeV using the same dataset. No deviations from the Standard Model predictions are observed, and 95% confidence-level exclusion limits are set on this model.
ER