240
References
515. ATLAS Collaboration, Variable radius, exclusive-k T , and center-of-mass subjet reconstruction for Higgs(→ b ¯
b ) tagging in ATLAS. ATLAS Physics Note. ATL-PHYS-PUB-2017-010
(2017), https://cds.cern.ch/record/2268678
516. CMS Collaboration, Identification of double-b quark jets in boosted event topologies.
CMS Physics Analysis Summary. CMS-PAS-BTV-15-002 (2016), http://cds.cern.ch/record/
2195743
517. C. Chen, Identification of a bottom quark-antiquark pair in a single jet with high transverse
momentum and its application. Phys. Rev. D 92, 093010 (2015). https://doi.org/10.1103/
PhysRevD.92.093010. arXiv:1507.06913
518. CMS Collaboration, Search for a massive resonance decaying into a Higgs boson and a W
or Z boson in hadronic final states in proton-proton collisions at
√
s = 8 TeV. JHEP 02, 145
(2016). https://doi.org/10.1007/JHEP02(2016)145. arXiv:1506.01443
519. K. Agashe, J.H. Collins, P. Du, S. Hong, D. Kim, R.K. Mishra, Detecting a boosted
diboson resonance. JHEP 11, 027 (2018). https://doi.org/10.1007/JHEP11(2018)027.
arXiv:1809.07334
520. ATLAS Collaboration, Identification of high transverse momentum top quarks in pp collisions at
√
s = 8 TeV with the ATLAS detector. JHEP 06, 093 (2016). https://doi.org/10.
1007/JHEP06(2016)093. arXiv:1603.03127
521. ATLAS Collaboration, Search for W → tb decays in the hadronic final state using pp
collisions at
√
s = 13 TeV with the ATLAS detector. Phys. Lett. B 781, 327 (2018). https://
doi.org/10.1016/j.physletb.2018.03.036. arXiv:1801.07893
522. ATLAS Collaboration, Performance of top quark and W boson tagging in Run 2 with ATLAS.
ATLAS Conference Note. ATLAS-CONF-2017-064 (2017), https://atlas.web.cern.ch/Atlas/
GROUPS/PHYSICS/CONFNOTES/ATLAS-CONF-2017-064/
523. G.P. Salam, L. Schunk, G. Soyez, Dichroic subjettiness ratios to distinguish colour flows
in boosted boson tagging. JHEP 03, 022 (2017). https://doi.org/10.1007/JHEP03(2017)022.
arXiv:1612.03917
524. ATLAS Collaboration, Boosted hadronic top identification at ATLAS for early 13 TeV
data. ATLAS Physics Note. ATL-PHYS-PUB-2015-053 (2015), http://cds.cern.ch/record/
2116351
525. ATLAS Collaboration, Performance of top-quark and W -boson tagging with ATLAS in Run
2 of the LHC. Eur. Phys. J. C 79, 375 (2019). https://doi.org/10.1140/epjc/s10052-0196847-8. arXiv:1808.07858
526. CMS Collaboration, Identification of heavy, energetic, hadronically decaying particles
using machine-learning techniques. JINST 15, P06005 (2020). https://doi.org/10.1088/
1748-0221/15/06/p06005. arXiv:2004.08262
527. ATLAS Collaboration, A search for tt resonances using lepton-plus-jets events in protonproton collisions at
√
s = 8 TeV with the ATLAS detector. JHEP 08, 148 (2015). https://
doi.org/10.1007/JHEP08(2015)148. arXiv:1505.07018
528. ATLAS Collaboration, Search for top-squark pair production in final states with one lepton,
jets, and missing transverse momentum using 36 fb −1 of
√
s = 13 TeV pp collision data
with the ATLAS detector. JHEP 06, 108 (2018). https://doi.org/10.1007/JHEP06(2018)108.
arXiv:1711.11520
529. CMS Collaboration, Search for supersymmetry in proton-proton collisions at 13 TeV using
identified top quarks. Phys. Rev. D 97, 012007 (2018). https://doi.org/10.1103/PhysRevD.
97.012007. arXiv:1710.11188
530. CMS Collaboration, W and top tagging scale factors. CMS Detector Performance Summary.
CMS-DP-2017-026 (2017), https://cds.cern.ch/record/2275225
531. CMS Collaboration, W and top tagging scale factors for Run 2 data. CMS Detector Performance Summary. CMS-DP-2020-025 (2020), https://cds.cern.ch/record/2718978
532. L. Rokach, O.Z. Maimon, Data Mining with Decision Trees: Theory and Applications.
Series in Machine Perception and Artificial Intelligence, vol. 69 (World Scientific Pub Co
Inc., 2008)
References
515. ATLAS Collaboration, Variable radius, exclusive-k T , and center-of-mass subjet reconstruction for Higgs(→ b ¯
b ) tagging in ATLAS. ATLAS Physics Note. ATL-PHYS-PUB-2017-010
(2017), https://cds.cern.ch/record/2268678
516. CMS Collaboration, Identification of double-b quark jets in boosted event topologies.
CMS Physics Analysis Summary. CMS-PAS-BTV-15-002 (2016), http://cds.cern.ch/record/
2195743
517. C. Chen, Identification of a bottom quark-antiquark pair in a single jet with high transverse
momentum and its application. Phys. Rev. D 92, 093010 (2015). https://doi.org/10.1103/
PhysRevD.92.093010. arXiv:1507.06913
518. CMS Collaboration, Search for a massive resonance decaying into a Higgs boson and a W
or Z boson in hadronic final states in proton-proton collisions at
√
s = 8 TeV. JHEP 02, 145
(2016). https://doi.org/10.1007/JHEP02(2016)145. arXiv:1506.01443
519. K. Agashe, J.H. Collins, P. Du, S. Hong, D. Kim, R.K. Mishra, Detecting a boosted
diboson resonance. JHEP 11, 027 (2018). https://doi.org/10.1007/JHEP11(2018)027.
arXiv:1809.07334
520. ATLAS Collaboration, Identification of high transverse momentum top quarks in pp collisions at
√
s = 8 TeV with the ATLAS detector. JHEP 06, 093 (2016). https://doi.org/10.
1007/JHEP06(2016)093. arXiv:1603.03127
521. ATLAS Collaboration, Search for W → tb decays in the hadronic final state using pp
collisions at
√
s = 13 TeV with the ATLAS detector. Phys. Lett. B 781, 327 (2018). https://
doi.org/10.1016/j.physletb.2018.03.036. arXiv:1801.07893
522. ATLAS Collaboration, Performance of top quark and W boson tagging in Run 2 with ATLAS.
ATLAS Conference Note. ATLAS-CONF-2017-064 (2017), https://atlas.web.cern.ch/Atlas/
GROUPS/PHYSICS/CONFNOTES/ATLAS-CONF-2017-064/
523. G.P. Salam, L. Schunk, G. Soyez, Dichroic subjettiness ratios to distinguish colour flows
in boosted boson tagging. JHEP 03, 022 (2017). https://doi.org/10.1007/JHEP03(2017)022.
arXiv:1612.03917
524. ATLAS Collaboration, Boosted hadronic top identification at ATLAS for early 13 TeV
data. ATLAS Physics Note. ATL-PHYS-PUB-2015-053 (2015), http://cds.cern.ch/record/
2116351
525. ATLAS Collaboration, Performance of top-quark and W -boson tagging with ATLAS in Run
2 of the LHC. Eur. Phys. J. C 79, 375 (2019). https://doi.org/10.1140/epjc/s10052-0196847-8. arXiv:1808.07858
526. CMS Collaboration, Identification of heavy, energetic, hadronically decaying particles
using machine-learning techniques. JINST 15, P06005 (2020). https://doi.org/10.1088/
1748-0221/15/06/p06005. arXiv:2004.08262
527. ATLAS Collaboration, A search for tt resonances using lepton-plus-jets events in protonproton collisions at
√
s = 8 TeV with the ATLAS detector. JHEP 08, 148 (2015). https://
doi.org/10.1007/JHEP08(2015)148. arXiv:1505.07018
528. ATLAS Collaboration, Search for top-squark pair production in final states with one lepton,
jets, and missing transverse momentum using 36 fb −1 of
√
s = 13 TeV pp collision data
with the ATLAS detector. JHEP 06, 108 (2018). https://doi.org/10.1007/JHEP06(2018)108.
arXiv:1711.11520
529. CMS Collaboration, Search for supersymmetry in proton-proton collisions at 13 TeV using
identified top quarks. Phys. Rev. D 97, 012007 (2018). https://doi.org/10.1103/PhysRevD.
97.012007. arXiv:1710.11188
530. CMS Collaboration, W and top tagging scale factors. CMS Detector Performance Summary.
CMS-DP-2017-026 (2017), https://cds.cern.ch/record/2275225
531. CMS Collaboration, W and top tagging scale factors for Run 2 data. CMS Detector Performance Summary. CMS-DP-2020-025 (2020), https://cds.cern.ch/record/2718978
532. L. Rokach, O.Z. Maimon, Data Mining with Decision Trees: Theory and Applications.
Series in Machine Perception and Artificial Intelligence, vol. 69 (World Scientific Pub Co
Inc., 2008)