SPECIAL ISSUE — Jet Measurements at the LHC; Guest Editor: Günther DissertoriNo Access

Jet energy calibration at the LHC

Ariel Schwartzman

SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA

https://doi.org/10.1142/S0217751X15460021Cited by:3 (Source: Crossref)

Abstract

Jets are one of the most prominent physics signatures of high energy proton–proton (p–p) collisions at the Large Hadron Collider (LHC). They are key physics objects for precision measurements and searches for new phenomena. This review provides an overview of the reconstruction and calibration of jets at the LHC during its first Run. ATLAS and CMS developed different approaches for the reconstruction of jets, but use similar methods for the energy calibration. ATLAS reconstructs jets utilizing input signals from their calorimeters and use charged particle tracks to refine their energy measurement and suppress the effects of multiple p–p interactions (pileup). CMS, instead, combines calorimeter and tracking information to build jets from particle flow objects. Jets are calibrated using Monte Carlo (MC) simulations and a residual in situ calibration derived from collision data is applied to correct for the differences in jet response between data and Monte Carlo. Large samples of dijet, $Z$ +jets, and $γ$ +events at the LHC allowed the calibration of jets with high precision, leading to very small systematic uncertainties. Both ATLAS and CMS achieved a jet energy calibration uncertainty of about 1% in the central detector region and for jets with transverse momentum $p_{T} > 100 GeV$ . At low jet $p_{T}$ , the jet energy calibration uncertainty is less than 4%, with dominant contributions from pileup, differences in energy scale between quark and gluon jets, and jet flavor composition.

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References

1. ATLAS Collab., https://twiki.cern.ch/twiki/bin/view/AtlasPublic/LuminosityPublicResults. Google Scholar
2. ATLAS Collab., JINST 3, S08003 (2008). ADS, Google Scholar
3. CMS Collab., JINST 3, S08004 (2008). ADS, Google Scholar
4. ATLAS Collab., Eur. Phys. J. C 71, 1593 (2011). Crossref, Web of Science, ADS, Google Scholar
5. T. Sakuma and T. McCauley, arXiv:1311.4942 [physics.ins-det]. Google Scholar
6. T. Sjostrand, S. Mrenna and P. Z. Skands, Comput. Phys. Commun. 178, 852 (2008). Crossref, Web of Science, ADS, Google Scholar
7. ATLAS Collab., ATL-PHYS-PUB-2012-003 (2012). Google Scholar
8. H.-L. Lai et al., Phys. Rev. D 82, 074024 (2010). Crossref, Web of Science, ADS, Google Scholar
9. M. Bahr et al., Eur. Phys. J. C 58, 639 (2008), arXiv:0803.0883 [hep-ph]. Crossref, Web of Science, ADS, Google Scholar
10. S. Gieseke et al., Herwig++ 2.5 Release Note, arXiv:1102.1672 [hep-ph]. Google Scholar
11. ATLAS Collab., ATLAS-CONF-2015-017 (2015). Google Scholar
12. ATLAS Collab., Eur. Phys. J. C 70, 823 (2010). Crossref, Web of Science, ADS, Google Scholar
13. GEANT4 Collab., Nucl. Instrum. Methods A 506, 250 (2003). Crossref, Web of Science, Google Scholar
14. G. Folger and J. Wellisch, arXiv:0306007 [nucl-th]. Google Scholar
15. T. Sjostrand, S. Mrenna and P. Z. Skands, J. High Energy Phys. 05, 026 (2006). Crossref, Web of Science, ADS, Google Scholar
16. R. Field, Acta Phys. Polon. B 42, 2631 (2011). Crossref, Web of Science, Google Scholar
17. J. Alwall et al., J. High Energy Phys. 1106, 128 (2011). Crossref, Web of Science, ADS, Google Scholar
18. S. Frixione, P. Nason and C. Oleari, J. High Energy Phys. 0711, 070 (2007). Crossref, ADS, Google Scholar
19. W. Lampl et al., ATL-LARG-PUB-2008-002 (2008). Google Scholar
20. I. G. Knowles and G. D. Lafferty, J. Phys. G 23, 731 (1977). Crossref, Web of Science, ADS, Google Scholar
21. ALEPH Collab., Nucl. Instrum. Methods A 360, 481 (1995). Crossref, Web of Science, ADS, Google Scholar
22. ATLAS Collab., Eur. Phys. J. C 73, 2304 (2013). Crossref, Web of Science, ADS, Google Scholar
23. C. Cojocaru et al., Nucl. Instrum. Methods A 531, 481 (2004). Web of Science, ADS, Google Scholar
24. E. Abat et al., JINST 5, P11006 (2010). Google Scholar
25. M. Aharrouche et al., Nucl. Instrum. Methods A 614, 400 (2010). Crossref, Web of Science, ADS, Google Scholar
26. CMS Collab., PAS PFT-09-001 (2009). Google Scholar
27. M. Cacciari, G. P. Salam and G. Soyez, J. High Energy Phys. 04, 063 (2008). Crossref, Web of Science, ADS, Google Scholar
28. M. Cacciari, G. P. Salam, G. Soyez, http://fastjet.fr/. Google Scholar
29. M. Cacciari, J. Rojo, G. P. Salam and G. Soyez, Eur. Phys. J. C 71, 1539 (2011). Crossref, Web of Science, ADS, Google Scholar
30. N. Buchanan et al., JINST 3, P09003 (2008). Crossref, Web of Science, ADS, Google Scholar
31. H. Abreu et al., JINST 5, P09003 (2010). Crossref, Web of Science, ADS, Google Scholar
32. M. Cacciari and G. P. Salam, Phys. Lett. B 659, 119 (2008). Crossref, Web of Science, ADS, Google Scholar
33. ATLAS Collab., ATLAS-CONF-2013-083 (2013). Google Scholar
34. ATLAS Collab., ATLAS-CONF-2014-018 (2014). Google Scholar
35. CMS Collab., JME-13-005 (2013). Google Scholar
36. ATLAS Collab., Eur. Phys. J. C 75, 17 (2015). Crossref, Web of Science, ADS, Google Scholar
37. ATLAS Collab., ATL-PHYS-PUB-2015-034 (2015). Google Scholar
38. CMS Collab., JINST 6, P11002 (2011). ADS, Google Scholar
39. CMS Collab., JME-13-001 (2014). Google Scholar
40. ATLAS Collab., ATLAS-CONF-2015-002, CERN (2015). Google Scholar
41. ATLAS Collab., ATLAS-CONF-2013-003, CERN (2013). Google Scholar
42. ATLAS Collab., ATLAS-CONF-2015-037, CERN (2015). Google Scholar
43. CMS Collab., CMS DP-2015/044, CERN (2015). Google Scholar
44. CMS Collab., https://twiki.cern.ch/twiki/bin/view/CMSPublic/MultipleConeSizes14. Google Scholar