Abstract
The Standard Model violates parity, but only by mechanisms which are invisible to Large Hadron Collider (LHC) experiments (on account of the lack of initial state polarisation or spin-sensitivity in the detectors). Nonetheless, new physical processes could potentially violate parity in ways which are detectable by those same experiments. If those sources of new physics occur only at LHC energies, they are untested by direct searches. We probe the feasibility of such measurements using approximately 0.2 fb−1 of data which was recorded in 2012 by the CMS collaboration and made public within the CMS Open Data initiative. In particular, we test an inclusive three-jet event selection which is primarily sensitive to non-standard parity violating effects in quark-gluon interactions. Within our measurements, no significant deviation from the Standard Model is seen and no obvious experimental limitations have been found. We discuss other ways that searches for non-standard parity violation could be performed, noting that these would be sensitive to very different sorts of models to those which our method would constrain. We hope that our initial studies provide a valuable starting point for rigorous future analyses using the full LHC datasets at 13 TeV with a careful and less conservative estimate of experimental uncertainties.
Article PDF
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
References
C.S. Wu, E. Ambler, R.W. Hayward, D.D. Hoppes and R.P. Hudson, Experimental Test of Parity Conservation in Beta Decay, Phys. Rev.105 (1957) 1413 [INSPIRE].
R.L. Garwin, L.M. Lederman and M. Weinrich, Observations of the Failure of Conservation of Parity and Charge Conjugation in Meson Decays: The Magnetic Moment of the Free Muon, Phys. Rev.105 (1957) 1415 [INSPIRE].
M. Goldhaber, L. Grodzins and A.W. Sunyar, Helicity of Neutrinos, Phys. Rev.109 (1958) 1015 [INSPIRE].
T. Han and Y. Li, Genuine CP-odd Observables at the LHC, Phys. Lett.B 683 (2010) 278 [arXiv:0911.2933] [INSPIRE].
ATLAS collaboration, Measurement of the forward-backward asymmetry of electron and muon pair-production in pp collisions at \( \sqrt{s} \) = 7 TeV with the ATLAS detector, JHEP09 (2015) 049 [arXiv:1503.03709] [INSPIRE].
CMS collaboration, Forward-backward asymmetry of Drell-Yan lepton pairs in pp collisions at \( \sqrt{s} \) = 8 TeV, Eur. Phys. J.C 76 (2016) 325 [arXiv:1601.04768] [INSPIRE].
CMS collaboration, The CMS Experiment at the CERN LHC, 2008 JINST3 S08004 [INSPIRE].
CMS collaboration, Performance of muon identification in pp collisions at \( \sqrt{s} \) = 7 TeV, CMS-PAS-MUO-10-002 (2010).
CMS collaboration, Measurement of inclusive W and Z boson production cross sections in pp collisions at \( \sqrt{s} \) = 8 TeV, Phys. Rev. Lett.112 (2014) 191802 [arXiv:1402.0923] [INSPIRE].
M. Cacciari, G.P. Salam and G. Soyez, The anti-kt jet clustering algorithm, JHEP04 (2008) 063 [arXiv:0802.1189] [INSPIRE].
M. Cacciari, G.P. Salam and G. Soyez, FastJet User Manual, Eur. Phys. J.C 72 (2012) 1896 [arXiv:1111.6097] [INSPIRE].
CMS collaboration, Commissioning of the Particle-flow Event Reconstruction with the first LHC collisions recorded in the CMS detector, CMS-PAS-PFT-10-001 (2010).
CMS collaboration, Particle-Flow Event Reconstruction in CMS and Performance for Jets, Taus and MET, CMS-PAS-PFT-09-001 (Particle-Flow Event Reconstruction in CMS and Performance for Jets, Taus and MET).
CMS collaboration, Particle-flow reconstruction and global event description with the CMS detector, 2017 JINST12 P10003 [arXiv:1706.04965] [INSPIRE].
M. Cacciari and G.P. Salam, Pileup subtraction using jet areas, Phys. Lett.B 659 (2008) 119 [arXiv:0707.1378] [INSPIRE].
CMS collaboration, Software Framework for CMS Open Data Analysis, http://opendata.cern.ch/docs/about-cms (2017).
CMS collaboration, CMS software version 5 3 32 (CMSSW 5 3 32), CERN Open Data Portal, https://doi.org/10.7483/OPENDATA.CMS.WYJG.FYK9 (2016).
C. Vernieri et al., Bacon analysis framework, https://github.com/ksung25/BaconProd/tree/Run1 (2015).
CMS collaboration, CMS list of validated runs for primary datasets of 2012 data taking, CERN Open Data Portal, http://opendata.cern.ch/record/1002 (2017).
A. Apyan, W. Cuozzo, M. Klute, Y. Saito, M. Schott and B. Sintayehu, Opportunities and Challenges of Standard Model Production Cross Section Measurements at \( \sqrt{s} \) = 8 TeV using CMS Open Data, arXiv:1907.08197 [INSPIRE].
CMS collaboration, JetHT primary dataset in AOD format from run of 2012 (/JetHT/Run2012C-22Jan2013-v1/AOD), CERN Open Data Portal, https://doi.org/10.7483/OPENDATA.CMS.VZSR.LYZX (2017).
T. Sjöstrand, S. Mrenna and P.Z. Skands, PYTHIA 6.4 Physics and Manual, JHEP05 (2006) 026 [hep-ph/0603175] [INSPIRE].
M.L. Mangano, M. Moretti, F. Piccinini, R. Pittau and A.D. Polosa, ALPGEN, a generator for hard multiparton processes in hadronic collisions, JHEP07 (2003) 001 [hep-ph/0206293] [INSPIRE].
S. Alioli, P. Nason, C. Oleari and E. Re, NLO vector-boson production matched with shower in POWHEG, JHEP07 (2008) 060 [arXiv:0805.4802] [INSPIRE].
S. Alioli, P. Nason, C. Oleari and E. Re, A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX, JHEP06 (2010) 043 [arXiv:1002.2581] [INSPIRE].
J. Alwall, M. Herquet, F. Maltoni, O. Mattelaer and T. Stelzer, MadGraph 5: Going Beyond, JHEP06 (2011) 128 [arXiv:1106.0522] [INSPIRE].
J. Gao et al., CT10 next-to-next-to-leading order global analysis of QCD, Phys. Rev.D 89 (2014) 033009 [arXiv:1302.6246] [INSPIRE].
CMS collaboration, Study of the Underlying Event at Forward Rapidity in pp Collisions at \( \sqrt{s} \) = 0.9, 2.76 and 7 TeV, JHEP04 (2013) 072 [arXiv:1302.2394] [INSPIRE].
CMS collaboration, Event generator tunes obtained from underlying event and multiparton scattering measurements, Eur. Phys. J.C 76 (2016) 155 [arXiv:1512.00815] [INSPIRE].
N. Davidson, G. Nanava, T. Przedzinski, E. Richter-Was and Z. Was, Universal Interface of TAUOLA Technical and Physics Documentation, Comput. Phys. Commun.183 (2012) 821 [arXiv:1002.0543] [INSPIRE].
GEANT4 collaboration, GEANT4: A Simulation toolkit, Nucl. Instrum. Meth.A 506 (2003) 250 [INSPIRE].
CMS collaboration, Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV, 2017 JINST12 P02014 [arXiv:1607.03663] [INSPIRE].
CMS collaboration, Simulated dataset QCD-Pt-15to3000-TuneZ2star-Flat-8TeV-pythia6 in AODSIM format for 2012 collision data, CERN Open Data Portal, https://doi.org/10.7483/OPENDATA.CMS.7Y4S.93A0 (2017).
CMS collaboration, Simulated dataset QCD4Jets-Pt-400to5600-TuneZ2Star-8TeV-alpgen in AODSIM format for 2012 collision data, CERN Open Data Portal, https://doi.org/10.7483/OPENDATA.CMS.P2XT.ZX19 (2017).
CMS collaboration, Simulated dataset TTJets-FullLeptMGDecays-TuneP11TeV-8TeV -madgraph-tauola in AODSIM format for 2012 collision data, CERN Open Data Portal, https://doi.org/10.7483/OPENDATA.CMS.7RZ3.0BXP (2017).
CMS collaboration, Simulated dataset TTJets-SemiLeptMGDecays-8TeV-madgraph in AODSIM format for 2012 collision data, CERN Open Data Portal, https://doi.org/10.7483/OPENDATA.CMS.FZCE.MBDW (2017).
CMS collaboration, Simulated dataset TTJets-HadronicMGDecays-TuneP11mpiHi-8TeV -madgraph-tauola in AODSIM format for 2012 collision data, CERN Open Data Portal, https://doi.org/10.7483/OPENDATA.CMS.B91N.86OR (2017).
CMS collaboration, Simulated dataset WWJetsTo2L2Nu-TuneZ2star-8TeV-madgraph-tauola in AODSIM format for 2012 collision data, CERN Open Data Portal, https://doi.org/10.7483/OPENDATA.CMS.V2C6.O1P4 (2017).
CMS collaboration, Simulated dataset WZJetsTo3LNu-8TeV-TuneZ2Star-madgraph-tauola in AODSIM format for 2012 collision data, CERN Open Data Portal, https://doi.org/10.7483/OPENDATA.CMS.71R9.VLZA (2017).
CMS collaboration, Simulated dataset DYToMuMu-M-20-CT10-TuneZ2star-v2-8TeV-powheg-pythia6 in AODSIM format for 2012 collision data, CERN Open Data Portal, https://doi.org/10.7483/OPENDATA.CMS.QGC3.PTZ9 (2017).
G. D’Agostini, A Multidimensional unfolding method based on Bayes’ theorem, Nucl. Instrum. Meth.A 362 (1995) 487 [INSPIRE].
G. D’Agostini, Improved iterative Bayesian unfolding, in Alliance Workshop on Unfolding and Data Correction, Hamburg, Germany, 27–28 May 2010 (2010) [arXiv:1010.0632] [INSPIRE].
Open Access
This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited
Author information
Authors and Affiliations
Corresponding author
Additional information
ArXiv ePrint: 1904.11195
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Lester, C.G., Schott, M. Testing non-standard sources of parity violation in jets at the LHC, trialled with CMS Open Data. J. High Energ. Phys. 2019, 120 (2019). https://doi.org/10.1007/JHEP12(2019)120
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/JHEP12(2019)120