Measurement of the primary Lund jet plane density in proton-proton collisions at $\sqrt{s}$ = 13 TeV
Abstract: A measurement is presented of the primary Lund jet plane (LJP) density in inclusive jet production in proton-proton collisions. The analysis uses 138 fb${-1}$ of data collected by the CMS experiment at $\sqrt{s}$ = 13 TeV. The LJP, a representation of the phase space of emissions inside jets, is constructed using iterative jet declustering. The transverse momentum $k_\mathrm{T}$ and the splitting angle $\Delta R$ of an emission relative to its emitter are measured at each step of the jet declustering process. The average density of emissions as function of $\ln(k_\mathrm{T}/$GeV) and $\ln(R/\Delta R)$ is measured for jets with distance parameters $R$ = 0.4 or 0.8, transverse momentum $p_\mathrm{T}$ $\gt$ 700 GeV, and rapidity $\vert y\vert$ $\lt$ 1.7. The jet substructure is measured using the charged-particle tracks of the jet. The measured distributions, unfolded to the level of stable particles, are compared with theoretical predictions from simulations and with perturbative quantum chromodynamics calculations. Due to the ability of the LJP to factorize physical effects, these measurements can be used to improve different aspects of the physics modeling in event generators.
- A. J. Larkoski, I. Moult, and B. Nachman, “Jet substructure at the Large Hadron Collider: a review of recent advances in theory and machine learning”, Phys. Rept. 841 (2020) 1, 10.1016/j.physrep.2019.11.001, arXiv:1709.04464.
- R. Kogler and others, “Jet substructure at the Large Hadron Collider: experimental review”, Rev. Mod. Phys. 91 (2019) 045003, 10.1103/RevModPhys.91.045003, arXiv:1803.06991.
- S. Marzani, G. Soyez, and M. Spannowsky, “Looking inside jets: an introduction to jet substructure and boosted-object phenomenology”, Lect. Notes Phys. 958 (2019) 1, 10.1007/978-3-030-15709-8, arXiv:1901.10342.
- R. Kogler, “Advances in jet substructure at the LHC: algorithms, measurements, and searches for new physical phenomena”, volume 284. Springer, 2021. 10.1007/978-3-030-72858-8, ISBN 978-3-030-72857-1, 978-3-030-72858-8.
- B. Andersson, G. Gustafson, L. Lönnblad, and U. Pettersson, “Coherence effects in deep inelastic scattering”, Z. Phys. C 43 (1989) 625, 10.1007/BF01550942.
- H. A. Andrews et al., “Novel tools and observables for jet physics in heavy-ion collisions”, J. Phys. G 47 (2020) 065102, 10.1088/1361-6471/ab7cbc, arXiv:1808.03689.
- F. A. Dreyer, G. P. Salam, and G. Soyez, “The Lund jet plane”, JHEP 12 (2018) 064, 10.1007/JHEP12(2018)064, arXiv:1807.04758.
- Y. L. Dokshitzer, G. D. Leder, S. Moretti, and B. R. Webber, “Better jet clustering algorithms”, JHEP 08 (1997) 001, 10.1088/1126-6708/1997/08/001, arXiv:hep-ph/9707323.
- M. Wobisch and T. Wengler, “Hadronization corrections to jet cross sections in deep inelastic scattering”, in Workshop on Monte Carlo generators for HERA physics, p. 270. 1998. arXiv:hep-ph/9907280. 10.48550/arXiv.hep-ph/9907280.
- A. Lifson, G. P. Salam, and G. Soyez, “Calculating the primary Lund jet plane density”, JHEP 10 (2020) 170, 10.1007/JHEP10(2020)170, arXiv:2007.06578.
- M. Dasgupta et al., “Logarithmic accuracy of parton showers: a fixed-order study”, JHEP 09 (2018) 033, 10.1007/JHEP09(2018)033, arXiv:1805.09327. [Erratum: \DOI10.1007/JHEP03(2020)083].
- M. Dasgupta et al., “Parton showers beyond leading logarithmic accuracy”, Phys. Rev. Lett. 125 (2020) 052002, 10.1103/PhysRevLett.125.052002, arXiv:2002.11114.
- K. Hamilton et al., “Color and logarithmic accuracy in final-state parton showers”, JHEP 03 (2021) 041, 10.1007/JHEP03(2021)041, arXiv:2011.10054.
- J. R. Forshaw, J. Holguin, and S. Plätzer, “Building a consistent parton shower”, JHEP 09 (2020) 014, 10.1007/JHEP09(2020)014, arXiv:2003.06400.
- Z. Nagy and D. E. Soper, “Summations by parton showers of large logarithms in electron-positron annihilation”, 2020. arXiv:2011.04777.
- F. Herren et al., “A new approach to color-coherent parton evolution”, JHEP 10 (2023) 091, 10.1007/JHEP10(2023)091, arXiv:2208.06057.
- M. van Beekveld et al., “PanScales parton showers for hadron collisions: formulation and fixed-order studies”, JHEP 11 (2022) 019, 10.1007/JHEP11(2022)019, arXiv:2205.02237.
- M. van Beekveld et al., “PanScales showers for hadron collisions: all-order validation”, JHEP 11 (2022) 020, 10.1007/JHEP11(2022)020, arXiv:2207.09467.
- ALICE Collaboration, “Direct observation of the dead-cone effect in quantum chromodynamics”, Nature 605 (2022) 440, 10.1038/s41586-022-04572-w, arXiv:2106.05713.
- F. A. Dreyer and H. Qu, “Jet tagging in the Lund plane with graph networks”, JHEP 03 (2021) 052, 10.1007/JHEP03(2021)052, arXiv:2012.08526.
- L. Cavallini et al., “Tagging the Higgs boson decay to bottom quarks with color-sensitive observables and the Lund jet plane”, Eur. Phys. J. C 82 (2022) 493, 10.1140/epjc/s10052-022-10447-1, arXiv:2112.09650.
- M. Dasgupta, A. Fregoso, S. Marzani, and G. P. Salam, “Towards an understanding of jet substructure”, JHEP 09 (2013) 029, 10.1007/JHEP09(2013)029, arXiv:1307.0007.
- A. J. Larkoski, S. Marzani, G. Soyez, and J. Thaler, “Soft drop”, JHEP 05 (2014) 146, 10.1007/JHEP05(2014)146, arXiv:1402.2657.
- CMS Collaboration, “Measurement of the splitting function in \Pp\Pp\Pp\Pp\Pp\Pp and PbPb collisions at \sqrtsNN=5.02\TeV\sqrtsNN5.02\TeV\sqrtsNN=5.02\TeV= 5.02”, Phys. Rev. Lett. 120 (2018) 142302, 10.1103/PhysRevLett.120.142302, arXiv:1708.09429.
- CMS Collaboration, “Measurements of the differential jet cross section as a function of the jet mass in dijet events from proton-proton collisions at s=13\TeV𝑠13\TeV\sqrt{s}=13\TeVsquare-root start_ARG italic_s end_ARG = 13”, JHEP 11 (2018) 113, 10.1007/JHEP11(2018)113, arXiv:1807.05974.
- CMS Collaboration, “Measurement of jet substructure observables in \ttbarevents from proton-proton collisions at s=13\TeV𝑠13\TeV\sqrt{s}=13\TeVsquare-root start_ARG italic_s end_ARG = 13”, Phys. Rev. D 98 (2018) 092014, 10.1103/PhysRevD.98.092014, arXiv:1808.07340.
- ALICE Collaboration, “First measurement of jet mass in PbPb and pPb collisions at the LHC”, Phys. Lett. B 776 (2018) 249, 10.1016/j.physletb.2017.11.044, arXiv:1702.00804.
- ATLAS Collaboration, “Measurement of jet substructure observables in top quark, \PWboson and light jet production in proton-proton collisions at s=13\TeV𝑠13\TeV\sqrt{s}=13\TeVsquare-root start_ARG italic_s end_ARG = 13 with the ATLAS detector”, JHEP 08 (2019) 033, 10.1007/JHEP08(2019)033, arXiv:1903.02942.
- ATLAS Collaboration, “Measurement of soft-drop jet observables in \Pp\Pp\Pp\Pp\Pp\Pp collisions with the ATLAS detector at s=13\TeV𝑠13\TeV\sqrt{s}=13\TeVsquare-root start_ARG italic_s end_ARG = 13”, Phys. Rev. D 101 (2020) 052007, 10.1103/PhysRevD.101.052007, arXiv:1912.09837.
- ALICE Collaboration, “Exploration of jet substructure using iterative declustering in \Pp\Pp\Pp\Pp\Pp\Pp and PbPb collisions at LHC energies”, Phys. Lett. B 802 (2020) 135227, 10.1016/j.physletb.2020.135227, arXiv:1905.02512.
- ALICE Collaboration, “Measurement of the groomed jet radius and momentum splitting fraction in \Pp\Pp\Pp\Pp\Pp\Pp and PbPb collisions at \sqrtsNN=5.02\TeV\sqrtsNN5.02\TeV\sqrtsNN=5.02\TeV= 5.02”, Phys. Rev. Lett. 128 (2022) 102001, 10.1103/PhysRevLett.128.102001, arXiv:2107.12984.
- ALICE Collaboration, “Measurements of the groomed and ungroomed jet angularities in \Pp\Pp\Pp\Pp\Pp\Pp collisions at s=5.02\TeV𝑠5.02\TeV\sqrt{s}=5.02\TeVsquare-root start_ARG italic_s end_ARG = 5.02”, JHEP 05 (2022) 061, 10.1007/JHEP05(2022)061, arXiv:2107.11303.
- CMS Collaboration, “Study of quark and gluon jet substructure in \PZ\PZ\PZ+jet and dijet events from \Pp\Pp\Pp\Pp\Pp\Pp collisions”, JHEP 01 (2022) 188, 10.1007/JHEP01(2022)188, arXiv:2109.03340.
- ATLAS Collaboration, “Measurement of substructure-dependent jet suppression in PbPb collisions at 5.02\TeVwith the ATLAS detector”, Phys. Rev. C 107 (2023) 054909, 10.1103/PhysRevC.107.054909, arXiv:2211.11470.
- CMS Collaboration, “Measurement of the differential \ttbarproduction cross section as a function of the jet mass and extraction of the top quark mass in hadronic decays of boosted top quarks”, Eur. Phys. J. C 83 (2023) 560, 10.1140/epjc/s10052-023-11587-8, arXiv:2211.01456.
- ATLAS Collaboration, “Measurement of suppression of large-radius jets and its dependence on substructure in PbPb collisions at \sqrtsNN=5.02\TeV\sqrtsNN5.02\TeV\sqrtsNN=5.02\TeV= 5.02 with the ATLAS detector”, Phys. Rev. Lett. 131 (2023) 172301, 10.1103/PhysRevLett.131.172301, arXiv:2301.05606.
- ATLAS Collaboration, “Measurement of the Lund jet plane using charged particles in 13\TeVproton-proton collisions with the ATLAS detector”, Phys. Rev. Lett. 124 (2020) 222002, 10.1103/PhysRevLett.124.222002, arXiv:2004.03540.
- M. Cacciari, G. P. Salam, and G. Soyez, “The anti-\ktjet clustering algorithm”, JHEP 04 (2008) 063, 10.1088/1126-6708/2008/04/063, arXiv:0802.1189.
- M. Cacciari, G. P. Salam, and G. Soyez, “FastJet user manual”, Eur. Phys. J. C 72 (2012) 1896, 10.1140/epjc/s10052-012-1896-2, arXiv:1111.6097.
- “HEPData record for this analysis”, 2023. 10.17182/hepdata.145874.
- CMS Collaboration, “The CMS experiment at the CERN LHC”, JINST 3 (2008) S08004, 10.1088/1748-0221/3/08/S08004.
- CMS Collaboration, “Description and performance of track and primary-vertex reconstruction with the CMS tracker”, JINST 9 (2014) P10009, 10.1088/1748-0221/9/10/P10009, arXiv:1405.6569.
- CMS Tracker Group, “The CMS Phase-1 pixel detector upgrade”, JINST 16 (2021) P02027, 10.1088/1748-0221/16/02/P02027, arXiv:2012.14304.
- CMS Collaboration, “Track impact parameter resolution for the full pseudorapidity coverage in the 2017 dataset with the CMS Phase-1 pixel detector”, CMS Detector Performance Note CMS-DP-2020-049, 2020.
- CMS Collaboration, “Technical proposal for the Phase-2 upgrade of the Compact Muon Solenoid”, CMS Technical Proposal CERN-LHCC-2015-010, CMS-TDR-15-02, 2015.
- CMS Collaboration, “Particle-flow reconstruction and global event description with the CMS detector”, JINST 12 (2017) P10003, 10.1088/1748-0221/12/10/P10003, arXiv:1706.04965.
- CMS Collaboration, “Jet energy scale and resolution in the CMS experiment in \Pp\Pp\Pp\Pp\Pp\Pp collisions at 8\TeV”, JINST 12 (2017) P02014, 10.1088/1748-0221/12/02/P02014, arXiv:1607.03663.
- CMS Collaboration, “Pileup mitigation at CMS in 13\TeVdata”, JINST 15 (2020) P09018, 10.1088/1748-0221/15/09/p09018, arXiv:2003.00503.
- CMS Collaboration, “Performance of the CMS Level-1 trigger in proton-proton collisions at s=13\TeV𝑠13\TeV\sqrt{s}=13\TeVsquare-root start_ARG italic_s end_ARG = 13”, JINST 15 (2020) P10017, 10.1088/1748-0221/15/10/P10017, arXiv:2006.10165.
- CMS Collaboration, “The CMS trigger system”, JINST 12 (2017) P01020, 10.1088/1748-0221/12/01/P01020, arXiv:1609.02366.
- CMS Collaboration, “Precision luminosity measurement in proton-proton collisions at s=13\TeV𝑠13\TeV\sqrt{s}=13\TeVsquare-root start_ARG italic_s end_ARG = 13 in 2015 and 2016 at CMS”, Eur. Phys. J. C 81 (2021) 800, 10.1140/epjc/s10052-021-09538-2, arXiv:2104.01927.
- CMS Collaboration, “CMS luminosity measurement for the 2017 data-taking period at s=13\TeV𝑠13\TeV\sqrt{s}=13\TeVsquare-root start_ARG italic_s end_ARG = 13”, CMS Physics Analysis Summary CMS-PAS-LUM-17-004, 2018.
- CMS Collaboration, “CMS luminosity measurement for the 2018 data-taking period at s=13\TeV𝑠13\TeV\sqrt{s}=13\TeVsquare-root start_ARG italic_s end_ARG = 13”, CMS Physics Analysis Summary CMS-PAS-LUM-18-002, 2019.
- T. Sjöstrand et al., “An introduction to \PYTHIA8.2”, Comput. Phys. Commun. 191 (2015) 159, 10.1016/j.cpc.2015.01.024, arXiv:1410.3012.
- B. Andersson, G. Gustafson, G. Ingelman, and T. Sjöstrand, “Parton fragmentation and string dynamics”, Phys. Rept. 97 (1983) 31, 10.1016/0370-1573(83)90080-7.
- T. Sjöstrand, “The merging of jets”, Phys. Lett. B 142 (1984) 420, 10.1016/0370-2693(84)91354-6.
- CMS Collaboration, “Extraction and validation of a new set of CMS \PYTHIA8 tunes from underlying-event measurements”, Eur. Phys. J. C 80 (2020) 4, 10.1140/epjc/s10052-019-7499-4, arXiv:1903.12179.
- NNPDF Collaboration, “Parton distributions for the LHC Run 2”, JHEP 04 (2015) 040, 10.1007/JHEP04(2015)040, arXiv:1410.8849.
- CMS Collaboration, “Development and validation of \HERWIG7 tunes from CMS underlying-event measurements”, Eur. Phys. J. C 81 (2021) 312, 10.1140/epjc/s10052-021-08949-5, arXiv:2011.03422.
- S. Gieseke, P. Stephens, and B. Webber, “New formalism for QCD parton showers”, JHEP 12 (2003) 045, 10.1088/1126-6708/2003/12/045, arXiv:hep-ph/0310083.
- B. R. Webber, “A QCD model for jet fragmentation including soft gluon interference”, Nucl. Phys. B 238 (1984) 492, 10.1016/0550-3213(84)90333-X.
- GEANT4 Collaboration, “\GEANTfour—a simulation toolkit”, Nucl. Instrum. Meth. A 506 (2003) 250, 10.1016/S0168-9002(03)01368-8.
- P. Skands, S. Carrazza, and J. Rojo, “Tuning \PYTHIA8.1: the Monash 2013 tune”, Eur. Phys. J. C 74 (2014) 3024, 10.1140/epjc/s10052-014-3024-y, arXiv:1404.5630.
- CMS Collaboration, “Event generator tunes obtained from underlying event and multiparton scattering measurements”, Eur. Phys. J. C 76 (2016) 155, 10.1140/epjc/s10052-016-3988-x, arXiv:1512.00815.
- S. Höche and S. Prestel, “The midpoint between dipole and parton showers”, Eur. Phys. J. C 75 (2015) 461, 10.1140/epjc/s10052-015-3684-2, arXiv:1506.05057.
- W. T. Giele, D. A. Kosower, and P. Z. Skands, “A simple shower and matching algorithm”, Phys. Rev. D 78 (2008) 014026, 10.1103/PhysRevD.78.014026, arXiv:0707.3652.
- A. Gehrmann-De Ridder, T. Gehrmann, and E. W. N. Glover, “Antenna subtraction at NNLO”, JHEP 09 (2005) 056, 10.1088/1126-6708/2005/09/056, arXiv:hep-ph/0505111.
- H. Brooks, C. T. Preuss, and P. Skands, “Sector showers for hadron collisions”, JHEP 07 (2020) 032, 10.1007/JHEP07(2020)032, arXiv:2003.00702.
- J. Bellm et al., “\HERWIG 7.0/\HERWIGpp 3.0 release note”, Eur. Phys. J. C 76 (2016) 196, 10.1140/epjc/s10052-016-4018-8, arXiv:1512.01178.
- J. Bellm et al., “\HERWIG 7.2 release note”, Eur. Phys. J. C 80 (2020) 452, 10.1140/epjc/s10052-020-8011-x, arXiv:1912.06509.
- S. Catani and M. H. Seymour, “A general algorithm for calculating jet cross sections in NLO QCD”, Nucl. Phys. B 485 (1997) 291, 10.1016/S0550-3213(96)00589-5, arXiv:hep-ph/9605323. [Erratum: \DOI10.1016/S0550-3213(98)81022-5].
- E. Bothmann et al., “Event generation with \SHERPA2.2”, SciPost Phys. 7 (2019) 034, 10.21468/SciPostPhys.7.3.034, arXiv:1905.09127.
- F. Krauss, R. Kuhn, and G. Soff, “amegic++ 1.0: a matrix element generator in C++”, JHEP 02 (2002) 044, 10.1088/1126-6708/2002/02/044, arXiv:hep-ph/0109036.
- T. Gleisberg and S. Höche, “Comix, a new matrix element generator”, JHEP 12 (2008) 039, 10.1088/1126-6708/2008/12/039, arXiv:0808.3674.
- S. Schumann and F. Krauss, “A parton shower algorithm based on Catani–Seymour dipole factorization”, JHEP 03 (2008) 038, 10.1088/1126-6708/2008/03/038, arXiv:0709.1027.
- J.-C. Winter, F. Krauss, and G. Soff, “A modified cluster hadronization model”, Eur. Phys. J. C 36 (2004) 381, 10.1140/epjc/s2004-01960-8, arXiv:hep-ph/0311085.
- G. Bewick, S. Ferrario Ravasio, P. Richardson, and M. H. Seymour, “Logarithmic accuracy of angular-ordered parton showers”, JHEP 04 (2020) 019, 10.1007/JHEP04(2020)019, arXiv:1904.11866.
- A. Banfi, G. P. Salam, and G. Zanderighi, “Principles of general final-state resummation and automated implementation”, JHEP 03 (2005) 073, 10.1088/1126-6708/2005/03/073, arXiv:hep-ph/0407286.
- T. Sjöstrand and M. van Zijl, “A multiple-interaction model for the event structure in hadron collisions”, Phys. Rev. D 36 (1987) 2019, 10.1103/PhysRevD.36.2019.
- J. M. Butterworth, J. R. Forshaw, and M. H. Seymour, “Multiparton interactions in photoproduction at HERA”, Z. Phys. C 72 (1996) 637, 10.1007/s002880050286, arXiv:hep-ph/9601371.
- I. Borozan and M. H. Seymour, “An eikonal model for multiparticle production in hadron-hadron interactions”, JHEP 09 (2002) 015, 10.1088/1126-6708/2002/09/015, arXiv:hep-ph/0207283.
- M. Bahr, S. Gieseke, and M. H. Seymour, “Simulation of multiple partonic interactions in \HERWIGpp”, JHEP 07 (2008) 076, 10.1088/1126-6708/2008/07/076, arXiv:0803.3633.
- S. Gieseke, C. Rohr, and A. Siódmok, “Color reconnections in \HERWIGpp”, Eur. Phys. J. C 72 (2012) 2225, 10.1140/epjc/s10052-012-2225-5, arXiv:1206.0041.
- CMS Collaboration, “DeepCore: convolutional neural network for high-\ptjet tracking”, CMS Detector Performance Note CMS-DP-2019-007, 2019.
- G. D’Agostini, “A multidimensional unfolding method based on Bayes’ theorem”, Nucl. Instrum. Meth. A 362 (1995) 487, 10.1016/0168-9002(95)00274-X.
- T. Adye, “Unfolding algorithms and tests using RooUnfold”, in PHYSTAT 2011 workshop on statistical issues related to discovery claims in search experiments and unfolding, p. 313. 2011. arXiv:1105.1160. 10.5170/CERN-2011-006.313.
- M. Cacciari et al., “The \ttbarcross section at 1.8\TeVand 1.96\TeV: a study of the systematics due to parton densities and scale dependence”, JHEP 04 (2004) 068, 10.1088/1126-6708/2004/04/068, arXiv:hep-ph/0303085.
- S. Catani, D. de Florian, M. Grazzini, and P. Nason, “Soft-gluon resummation for Higgs boson production at hadron colliders”, JHEP 07 (2003) 028, 10.1088/1126-6708/2003/07/028, arXiv:hep-ph/0306211.
- ATLAS Collaboration, “Measurement of jet substructure in boosted \ttbarevents with the ATLAS detector using 140\fbinvof 13\TeV\Pp\Pp\Pp\Pp\Pp\Pp collisions”, 2023. arXiv:2312.03797. Submitted to Phys. Rev. D.
- CMS Collaboration, “Jet algorithms performance in 13\TeVdata”, CMS Physics Analysis Summary CMS-PAS-JME-16-003, 2017.
- Particle Data Group Collaboration, “Review of particle physics”, Prog. Theor. Exp. Phys. 2022 (2022) 083C01, 10.1093/ptep/ptac097.
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