Measurement of the jet mass in high transverse momentum $Z(\rightarrow b\overline{b})\gamma$ production at $\sqrt{s}= 13$ TeV using the ATLAS detector
The integrated fiducial cross-section and unfolded differential jet mass spectrum of high transverse momentum Z→bb‾ decays are measured in Zγ events in proton–proton collisions at s=13TeV . The data analysed were collected between 2015 and 2016 with the ATLAS detector at the Large Hadron Collider an...
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Veröffentlicht in: | Physics letters. B 2021, Vol.812 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The integrated fiducial cross-section and unfolded differential jet mass spectrum of high transverse momentum Z→bb‾ decays are measured in Zγ events in proton–proton collisions at s=13TeV . The data analysed were collected between 2015 and 2016 with the ATLAS detector at the Large Hadron Collider and correspond to an integrated luminosity of 36.1fb−1 . Photons are required to have a transverse momentum pT>175GeV . The Z→bb‾ decay is reconstructed using a jet with pT>200GeV , found with the anti- kt R=1.0 jet algorithm, and groomed to remove soft and wide-angle radiation and to mitigate contributions from the underlying event and additional proton–proton collisions. Two different but related measurements are performed using two jet grooming definitions for reconstructing the Z→bb‾ decay: trimming and soft drop. These algorithms differ in their experimental and phenomenological implications regarding jet mass reconstruction and theoretical precision. To identify Z bosons, b -tagged R=0.2 track-jets matched to the groomed large- R calorimeter jet are used as a proxy for the b -quarks. The signal yield is determined from fits of the data-driven background templates to the different jet mass distributions for the two grooming methods. Integrated fiducial cross-sections and unfolded jet mass spectra for each grooming method are compared with leading-order theoretical predictions. The results are found to be in good agreement with Standard Model expectations within the current statistical and systematic uncertainties. |
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ISSN: | 0370-2693 |
DOI: | 10.1016/j.physletb.2020.135991 |