Search for heavy resonances decaying to a photon and a hadronically decaying $Z/W/H$ boson in $pp$ collisions at $\sqrt{s}=13$ $\mathrm{TeV}$ with the ATLAS detector

Abstract

Many extensions of the Standard Model predict new resonances decaying to a $Z$, $W$, or Higgs boson and a photon. This paper presents a search for such resonances produced in $pp$ collisions at $\sqrt{s}=13$ $\mathrm{TeV}$ using a dataset with an integrated luminosity of 36.1 fb${}^{-1}$ collected by the ATLAS detector at the Large Hadron Collider. The $Z/W/H$ bosons are identified through their decays to hadrons. The data are found to be consistent with the Standard Model expectation in the entire investigated mass range. Upper limits are set on the production cross section times branching fraction for resonance decays to $Z/W+\gamma$ in the mass range from 1.0 to 6.8 $\mathrm{TeV}$, and for the first time into $H+\gamma$ in the mass range from 1.0 to 3.0 $\mathrm{TeV}$.

44 pages in total, author list starting page 28, 10 figures, 2 tables, submitted to Phys. Rev. D, All figures including auxiliary figures are available at http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/EXOT-2016-30/

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• Mass Unspecific Supervised Tagging (MUST) for boosted jets
• Hypercharged Naturalness
• The $W\gamma$ decay of the elusive charged Higgs boson in the two-Higgs-doublet model with vectorlike fermions
• Updated constraints on Georgi-Machacek model, and its electroweak phase transition and associated gravitational waves
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• Search for narrow H$\gamma$ resonances in proton-proton collisions at $\sqrt{s}=$ 13 TeV
• Search for heavy resonances decaying into a photon and a hadronically decaying Higgs boson in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
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• Probing Magnetic Moment Operators in $H\gamma$ Production and $H\to {\tau }^{+}{\tau }^{-}\gamma$ Rare Decay
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• Search for W$\gamma$ resonances in proton-proton collisions at $\sqrt{s}=$ 13 TeV using hadronic decays of Lorentz-boosted W bosons
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• Pulling the Higgs and Top needles from the jet stack with Feature Extended Supervised Tagging