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Event Reconstruction

  • Giordon Stark
Chapter
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Part of the Springer Theses book series (Springer Theses)

Abstract

The goal of particle physics experiments is to reconstruct and measure the outgoing particles produced in proton–proton collisions to describe the hard scatter process. After an event is accepted by the ATLAS trigger systems to be recorded to disk, the objects of interest such as electrons, muons, and jets must be reconstructed from the low-level detector signals. These complex objects, meant to be representative of the true SM particle, are built from some of the low-level detector signals, such as muon spectrometer tracks or energy depositions in the electromagnetic or hadronic calorimeters. As the LHC is a hadron collider, the LHC tends to produce colored final states through the collisions of gluons. Many BSM physics models contain these hadronic objects which are crucial to reconstruct accurately, amidst the initial and final state radiation and multiple simultaneous proton–proton collisions. Once reconstructed, the measured properties of these objects may be calibrated to a particular energy scale.

Keywords

Event reconstruction Jets B-jets Muons Electrons Missing transverse momentum MET Leptons Flavor tagging Jet algorithms Jet calibrations Jet kinematics 

References

  1. 26.
    ATLAS Collaboration, Optimisation of the ATLAS b-tagging performance for the 2016 LHC run. ATL-PHYS-PUB-2016-012. https://cds.cern.ch/record/2160731
  2. 30.
    ATLAS Collaboration, Commissioning of the ATLAS high performance b-tagging algorithms in the 7 TeV collision data (2011). ATLAS-CONF-2011-102. https://cds.cern.ch/record/1369219
  3. 34.
    ATLAS Collaboration, Measurement of the b-tag efficiency in a sample of jets containing muons with 5 fb−1 of data from the ATLAS detector (2012). ATLAS-CONF-2012-043. https://cds.cern.ch/record/1435197
  4. 35.
    ATLAS Collaboration, Measurement of the Mistag Rate of b-tagging algorithms with 5 fb−1 of Data Collected by the ATLAS Detector (2012). ATLAS-CONF-2012-040. https://cds.cern.ch/record/1435194
  5. 41.
    ATLAS Collaboration, Jet energy measurement with the ATLAS detector in proton-proton collisions at \(\sqrt {s} = 7\) TeV. Eur. Phys. J. C 73, 2304 (2013).  https://doi.org/10.1140/epjc/s10052-013-2304-2. arXiv: 1112.6426 [hep-ex]
  6. 48.
    ATLAS Collaboration, Calibration of b-tagging using dileptonic top pair events in a combinatorial likelihood approach with the ATLAS experiment (2014). ATLAS-CONF-2014-004. https://cds.cern.ch/record/1664335
  7. 49.
    ATLAS Collaboration, Calibration of the performance of b-tagging for c and light-flavour jets in the 2012 ATLAS data (2014). ATLAS-CONF-2014-046. https://cds.cern.ch/record/1741020
  8. 50.
    ATLAS Collaboration, Search for high-mass dilepton resonances in pp collisions at \(\sqrt {s} = 8\) TeV with the ATLAS detector. Phys. Rev. D 90, 52005 (2014).  https://doi.org/10.1103/PhysRevD.90.052005. arXiv: 1405.4123 [hep-ex]
  9. 51.
    ATLAS Collaboration, Search for new particles in events with one lepton and missing transverse momentum in pp collisions at \(\sqrt {s} = 8\) TeV with the ATLAS detector. J. High Energy Phys. 9, 37 (2014).  https://doi.org/10.1007/JHEP09(2014)037. arXiv: 1407.7494 [hep-ex]
  10. 53.
    ATLAS Collaboration, Electron and photon energy calibration with the ATLAS detector using LHC Run 1 data. Eur. Phys. J. C 74, 3071 (2014).  https://doi.org/10.1140/epjc/s10052-014-3071-4. arXiv: 1407.5063 [hep-ex]
  11. 61.
    ATLAS Collaboration, Jet calibration and systematic uncertainties for jets reconstructed in the ATLAS detector at s= 13 TeV ATL-PHYS-PUB-2015-15 (2015). https://cds.cern.ch/record/2037613 Google Scholar
  12. 62.
    ATLAS Collaboration, Jet energy measurement and its systematic uncertainty in proton–proton collisions at \(\sqrt {s} = 7\) TeV with the ATLAS detector. Eur. Phys. J. C 75, 17 (2015).  https://doi.org/10.1140/epjc/s10052-014-3190-y. arXiv: 1406.0076 [hep-ex]
  13. 63.
    ATLAS Collaboration, Properties of jets and inputs to jet reconstruction and calibration with the ATLAS detector using proton-proton collisions at \(\sqrt {s}= 13\) TeV. ATL-PHYS-PUB-2015-036 (2015). https://cds.cern.ch/record/2044564
  14. 64.
    ATLAS Collaboration, Expected performance of the ATLAS b-tagging algorithms in Run-2. ATL-PHYS-PUB-2015-22 (2015). https://cds.cern.ch/record/2037697
  15. 65.
    ATLAS Collaboration, Measurements of Higgs boson production and couplings in the four-lepton channel in pp collisions at center-of-mass energies of 7 and 8 TeV with the ATLAS detector. Phys. Rev. D 91, 12006 (2015).  https://doi.org/10.1103/PhysRevD.91.012006. arXiv: 1408.5191 [hep-ex]
  16. 66.
    ATLAS Collaboration, Expected performance of missing transverse momentum reconstruction for the ATLAS detector at \(\sqrt {s} = 13\) TeV (2015). ATL-PHYS-PUB-2015-023. https://cds.cern.ch/record/2037700
  17. 68.
    ATLAS Collaboration, Performance of missing transverse momentum reconstruction with the ATLAS detector in the first proton-proton collisions at \(\sqrt {s}= 13\) TeV (2015). ATL-PHYS-PUB-2015-027. https://cds.cern.ch/record/2037904
  18. 71.
    ATLAS Collaboration, Electron efficiency measurements with the ATLAS detector using the 2015 LHC proton-proton collision data (2016). ATLAS-CONF-2016-024. https://cds.cern.ch/record/2157687
  19. 76.
    ATLAS Collaboration, Performance of b-jet identification in the ATLAS experiment. J. Instrum. 11, P04008 (2016). https://doi.org/10.1088/1748-0221/11/04/P04008. arXiv: 1512.01094 [hep-ex]
  20. 77.
    ATLAS Collaboration, Muon reconstruction performance of the ATLAS detector in proton-proton collision data at \(\sqrt {s} = 13\) TeV. Eur. Phys. J. C 76, 292 (2016).  https://doi.org/10.1140/epjc/s10052-016-4120-y. arXiv: 1603.05598 [hep-ex]
  21. 81.
    ATLAS Collaboration, Performance of b -jet identification in the ATLAS experiment. J. Instrum. 11(4), P04008 (2016). http://stacks.iop.org/1748-0221/11/i=04/a=P04008
  22. 82.
    ATLAS Collaboration, Search for supersymmetry in final states with missing transverse momentum and multiple b-jets in proton–proton collisions at \(\sqrt {s} = 13\) TeV with the ATLAS detector (2017). arXiv: 1711.01901 [hep-ex]
  23. 86.
    ATLAS Collaboration, Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1. Eur. Phys. J. C 77, 490 (2017).  https://doi.org/10.1140/epjc/s10052-017-5004-5. arXiv: 1603.02934 [hep-ex]
  24. 87.
    ATLAS Collaboration, Jet energy scale measurements and their systematic uncertainties in proton-proton collisions at \(\sqrt {s} = 13\) TeV with the ATLAS detector. Phys. Rev. D 96, 72002 (2017).  https://doi.org/10.1103/PhysRevD.96.072002. arXiv: 1703.09665 [hep-ex]
  25. 88.
    ATLAS Collaboration, Proton tagging with the one arm AFP detector (2017). ATL-PHYS-PUB-2017-012. https://cds.cern.ch/record/2265187
  26. 89.
    ATLAS Collaboration, Optimisation and performance studies of the ATLAS b-tagging algorithms for the 2017–18 LHC run (2017). ATL-PHYS-PUB-2017-013. https://cds.cern.ch/record/2273281
  27. 123.
    M. Cacciari, G.P. Salam, Dispelling the N 3 myth for the k t jet-finder. Phys. Lett. B641, 57–61 (2006). https://doi.org/10.1016/j.physletb.2006.08.037. arXiv: hep-ph/0512210 [hep-ph]
  28. 124.
    M. Cacciari, G.P. Salam, Pileup subtraction using jet areas. Phys. Lett. B659, 119–126 (2008). https://doi.org/10.1016/j.physletb.2007.09.077. arXiv: 0707.1378 [hep-ph]
  29. 125.
    M. Cacciari, G.P. Salam, G. Soyez, The anti-k t jet clustering algorithm. J. High Energy Phys. 4, 63 (2008). https://doi.org/10.1088/1126-6708/2008/04/063. arXiv: 0802.1189 [hep-ph]
  30. 126.
    M. Cacciari, G.P. Salam, G. Soyez, FastJet user manual. Eur. Phys. J. C 72, 1896 (2012).  https://doi.org/10.1140/epjc/s10052-012-1896-2. arXiv: 1111.6097 [hep-ph]
  31. 129.
    S. Catani et al., Longitudinally invariant K tclustering algorithms for hadron–hadron collisions. Nucl. Phys. B406, 187–224 (1993). https://doi.org/10.1016/0550-3213(93)90166-M ADSCrossRefGoogle Scholar
  32. 158.
    Y.L. Dokshitzer et al., Better jet clustering algorithms. J. High Energy Phys. 8, 1 (1997). https://doi.org/10.1088/1126-6708/1997/08/001. arXiv: hep-ph/9707323 [hep-ph]
  33. 183.
    A. Hocker et al., TMVA – toolkit for multivariate data analysis. PoS ACAT, 40 (2007). arXiv: physics/0703039 [PHYSICS]
  34. 185.
    J.E. Huth et al., Toward a standardization of jet definitions, in 1990 DPF Summer Study on High-energy Physics: Research Directions for the Decade (Snowmass90) Snowmass, Colorado, June 25–July 13 (1990), pp. 0134–136. http://lss.fnal.gov/cgi-bin/find_paper.pl?conf-90-249
  35. 188.
    B. Isildak, Measurement of the differential dijet production cross section in proton-proton collisions at \(\sqrt {s} = 7\) tev. Ph.D. Thesis. Bogazici U. (2011). arXiv: 1308.6064 [hep-ex]. http://inspirehep.net/record/1251416/files/arXiv:1308.6064.pdf
  36. 204.
    P. Loch et al., Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run I (2014). Technical Report ATL-COM-PHYS-2014-1439. Geneva: CERN. https://cds.cern.ch/record/1967028
  37. 218.
    C. Patrignani et al., (Particle Data Group). Review of particle physics. Chin. Phys. C40(10), 100001 (2016). https://doi.org/10.1088/1674-1137/40/10/100001
  38. 220.
    G. Piacquadio, C. Weiser, A new inclusive secondary vertex algorithm for b-jet tagging in ATLAS. J. Phys. Conf. Ser. 119, 032032 (2008). https://doi.org/10.1088/1742-6596/119/3/032032 CrossRefGoogle Scholar
  39. 236.
    G.P. Salam, Towards jetography. Eur. Phys. J. C67, 637–686 (2010).  https://doi.org/10.1140/epjc/s10052-010-1314-6. arXiv: 0906.1833 [hep-ph]
  40. 239.
    J. Shelton, Jet substructure, in Proceedings, Theoretical Advanced Study Institute in Elementary Particle Physics: Searching for New Physics at Small and Large Scales (TASI 2012): Boulder, Colorado, June 4–29, 2012 (2013), pp. 303–340. https://doi.org/10.1142/9789814525220_0007. arXiv: 1302.0260 [hep-ph]. http://inspirehep.net/record/1217434/files/arXiv:1302.0260.pdf
  41. 255.
    P. Weber, ATLAS calorimetry: trigger, simulation and jet calibration. Ph.D. Thesis. Kirchhoff Inst. Phys. (2008). http://www.ub.uni-heidelberg.de/archiv/8170/

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Giordon Stark
    • 1
  1. 1.University of ChicagoChicagoUSA

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