TY  - JOUR
AU  - ATLAS Collaboration (Aad, G. et al
AU  - Amos, K. R.
AU  - Aparisi Pozo, J. A.
AU  - Bailey, A. J.
AU  - Cabrera Urban, S.
AU  - Cantero, J.
AU  - Cardillo, F.
AU  - Castillo Gimenez, V.
AU  - Costa, M. J.
AU  - Didenko
AU  - Escobar, C.
AU  - Fiorini, L.
AU  - Fullana Torregrosa, E.
AU  - Fuster, J.
AU  - Garcia, C.
AU  - Garcia Navarro, J. E.
AU  - Gomez Delegido, A. J.
AU  - Gonzalez de la Hoz, S.
AU  - Gonzalvo Rodriguez, G. R.
AU  - Guerrero Rojas, J. G. R.
AU  - Higon-Rodriguez, E.
AU  - Lacasta, C.
AU  - Lozano Bahilo, J. J.
AU  - Marti-Garcia, S.
AU  - Martinez Agullo, P.
AU  - Miralles Lopez, M.
AU  - Mitsou, V. A.
AU  - Monsonis Romero, L.
AU  - Moreno Llacer, M.
AU  - Munoz Perez, D.
AU  - Navarro-Gonzalez, J.
AU  - Poveda, J.
AU  - Prades Ibañez, A.
AU  - Rubio Jimenez, A.
AU  - Ruiz-Martinez, A.
AU  - Sabatini, P.
AU  - Salt, J.
AU  - Sanchez Sebastian, V.
AU  - Sayago Galvan, I.
AU  - Senthilkumar, V.
AU  - Soldevila, U.
AU  - Sanchez, J.
AU  - Torro Pastor, E.
AU  - Valero, A.
AU  - Valls Ferrer, J. A.
AU  - Varriale, L.
AU  - Villaplana Perez, M.
AU  - Vos, M.
PY  - 2023
DA  - 2023//
TI  - Anomaly detection search for new resonances decaying into a Higgs boson and a generic new particle X in hadronic final states using √s=13 TeV pp collisions with the ATLAS detector
T2  - Phys. Rev. D
JO  - Physical Review D
SP  - 052009
EP  - 33pp
VL  - 108
IS  - 5
PB  - Amer Physical Soc
AB  - A search is presented for a heavy resonance Y decaying into a Standard Model Higgs boson H and a new particle X in a fully hadronic final state. The full Large Hadron Collider run 2 dataset of proton-proton collisions at root s =13 TeV collected by the ATLAS detector from 2015 to 2018 is used and corresponds to an integrated luminosity of 139 fb(-1). The search targets the high Y-mass region, where the H and X have a significant Lorentz boost in the laboratory frame. A novel application of anomaly detection is used to define a general signal region, where events are selected solely because of their incompatibility with a learned background-only model. It is constructed using a jet-level tagger for signal-model-independent selection of the boosted X particle, representing the first application of fully unsupervised machine learning to an ATLAS analysis. Two additional signal regions are implemented to target a benchmark X decay into two quarks, covering topologies where the X is reconstructed as either a single large-radius jet or two small-radius jets. The analysis selects Higgs boson decays into bb, and a dedicated neural-network-based tagger provides sensitivity to the boosted heavy-flavor topology. No significant excess of data over the expected background is observed, and the results are presented as upper limits on the production cross section sigma(pp -> Y -> XH -> qqbb) for signals with m(Y) between 1.5 and 6 TeV and m(X) between 65 and 3000 GeV.
SN  - 2470-0010
UR  - https://arxiv.org/abs/2306.03637
UR  - https://doi.org/10.1103/PhysRevD.108.052009
DO  - 10.1103/PhysRevD.108.052009
LA  - English
N1  - WOS:001088448300001
ID  - ATLASCollaborationAad_etal2023
ER  -