A measurement of the dijet production cross section is reported based on proton-proton collision data collected in 2016 at s = 13 Te V by the CMS experiment at the CERN LHC, corresponding to an integrated luminosity of up to 36.3 fb - 1 . Jets are reconstructed with the anti- k T algorithm for distance parameters of R = 0.4 and 0.8. Cross sections are measured double-differentially (2D) as a function of the largest absolute rapidity | y | max of the two jets with the highest transverse momenta p T and their invariant mass m 1 , 2 , and triple-differentially (3D) as a function of the rapidity separation y ∗ , the total boost y b , and either m 1 , 2 or the average p T of the two jets. The cross sections are unfolded to correct for detector effects and are compared with fixed-order calculations derived at next-to-next-to-leading order in perturbative quantum chromodynamics. The impact of the measurements on the parton distribution functions and the strong coupling constant at the mass of the Z boson is investigated, yielding a value of α S ( m Z ) = 0.1179 ± 0.0019 .

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H1 and ZEUS Collaborations, Combined measurement and QCD analysis of the inclusive [Image: see text] scattering cross sections at HERA. JHEP DOI

H1 and ZEUS Collaborations, Combination of measurements of inclusive deep inelastic [Image: see text] scattering cross sections and QCD analysis of HERA data. Eur. Phys. J. C DOI

J. Currie et al., Precise predictions for dijet production at the LHC. Phys. Rev. Lett. PubMed DOI

A. Gehrmann-De Ridder et al., Triple differential dijet cross section at the LHC. Phys. Rev. Lett. PubMed DOI

CMS Collaboration, Measurement of the triple-differential dijet cross section in proton-proton collisions at [Image: see text] and constraints on parton distribution functions. Eur. Phys. J. C PubMed DOI PMC

M. Cacciari, G.P. Salam, G. Soyez, The anti- [Image: see text] jet clustering algorithm. JHEP DOI

M. Cacciari, G.P. Salam, G. Soyez, FastJet user manual. Eur. Phys. J. C DOI

ATLAS Collaboration, Measurement of inclusive jet and dijet cross sections in proton–proton collisions at 7 TeV centre-of-mass energy with the ATLAS detector. Eur. Phys. J. C DOI

CMS Collaboration, Measurement of the differential dijet production cross section in proton–proton collisions at [Image: see text]. Phys. Lett. B DOI

CMS Collaboration, Measurements of differential jet cross sections in proton-proton collisions at [Image: see text] with the CMS detector. Phys. Rev. D

ATLAS Collaboration, Measurement of dijet cross sections in [Image: see text] collisions at 7 TeV centre-of-mass energy using the ATLAS detector. JHEP DOI

ATLAS Collaboration, Measurement of inclusive jet and dijet cross-sections in proton-proton collisions at [Image: see text] with the ATLAS detector. JHEP DOI

HEPData record for this analysis (2023). 10.17182/hepdata.146075

CMS Collaboration, The CMS trigger system. JINST DOI

CMS Collaboration, Performance of the CMS Level-1 trigger in proton-proton collisions at [Image: see text]. JINST DOI

CMS Collaboration, The CMS experiment at the CERN LHC. JINST DOI

T. Sjöstrand et al., An introduction to pythia 8.2. Comput. Phys. Commun. DOI

CMS Collaboration, Event generator tunes obtained from underlying event and multiparton scattering measurements. Eur. Phys. J. C PubMed DOI PMC

J. Alwall et al., The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations. JHEP DOI

GEANT4 Collaboration, Geant4—a simulation toolkit. Nucl. Instrum. Methods A DOI

CMS Collaboration, Measurement of the inelastic proton-proton cross section at [Image: see text] TeV. JHEP DOI

CMS Collaboration, Pileup mitigation at CMS in 13 TeV data. JINST DOI

CMS Collaboration, Particle-flow reconstruction and global event description with the CMS detector. JINST DOI

CMS Collaboration, “Technical proposal for the Phase-II upgrade of the Compact Muon Solenoid”, CMS Technical Proposal CERN-LHCC-2015-010, CMS-TDR-15-02 (2015). http://cds.cern.ch/record/2020886

CMS Collaboration, “Study of pileup removal algorithms for jets”, CMS Physics Analysis Summary CMS-PAS-JME-14-001 (2014). http://cds.cern.ch/record/1751454

CMS Collaboration, Jet energy scale and resolution in the CMS experiment in [Image: see text] collisions at 8 TeV. JINST DOI

CMS Collaboration, “Jet algorithms performance in 13 TeV data”, CMS Physics Analysis Summary CMS-PAS-JME-16-003 (2017). http://cds.cern.ch/record/2256875

CMS Collaboration, Performance of missing transverse momentum reconstruction in proton-proton collisions at [Image: see text] using the CMS detector. JINST DOI

S. Schmitt, TUnfold: an algorithm for correcting migration effects in high energy physics. JINST DOI

CMS Collaboration, “Jet energy scale and resolution performance with 13 TeV data collected by CMS in 2016–2018”, CMS Detector Performance Note CMS-DP-2020-019 (2020). https://cds.cern.ch/record/2715872

CMS Collaboration, Precision luminosity measurement in proton-proton collisions at [Image: see text] 13 TeV in 2015 and 2016 at CMS. Eur. Phys. J. C PubMed DOI PMC

T. Gehrmann et al., “Jet cross sections and transverse momentume distributions with NNLOJET”, in

T. Kluge, K. Rabbertz, M. Wobisch, “fastNLO: Fast pQCD calculations for PDF fits”, in

D. Britzger, K. Rabbertz, F. Stober, M. Wobisch, “New features in version 2 of the fastNLO project”, in

D. Britzger et al., Calculations for deep inelastic scattering using fast interpolation grid techniques at NNLO in QCD and the extraction of [Image: see text] from HERA data. Eur. Phys. J. C PubMed DOI PMC

D. Britzger et al., NNLO interpolation grids for jet production at the LHC. Eur. Phys. J. C PubMed DOI PMC

M. Cacciari et al., The [Image: see text] cross-section at 1.8 TeV and 1.96 TeV: a study of the systematics due to parton densities and scale dependence. JHEP DOI

S. Catani, D. de Florian, M. Grazzini, P. Nason, Soft-gluon resummation for Higgs boson production at hadron colliders. JHEP DOI

A. Banfi, G.P. Salam, G. Zanderighi, Phenomenology of event shapes at hadron colliders. JHEP DOI

J. Currie, E.W.N. Glover, J. Pires, Next-to-next-to leading order QCD predictions for single jet inclusive production at the LHC. Phys. Rev. Lett. PubMed DOI

X. Chen et al., NNLO QCD corrections in full colour for jet production observables at the LHC. JHEP DOI

CMS Collaboration, Measurement of the double-differential inclusive jet cross section in proton-proton collisions at [Image: see text] TeV. Eur. Phys. J. C PubMed DOI PMC

CMS Collaboration, Investigations of the impact of the parton shower tuning in pythia 8 in the modelling of [Image: see text] at [Image: see text] and 13 TeV. CMS Physics Analysis Summary CMS-PAS-TOP-16-021, (2016). http://cds.cern.ch/record/2235192

M. Bähr et al., herwig++ physics and manual. Eur. Phys. J. C DOI

M.H. Seymour, A. Siódmok, Constraining MPI models using [Image: see text] and recent Tevatron and LHC underlying event data. JHEP DOI

P. Nason, A new method for combining NLO QCD with shower Monte Carlo algorithms. JHEP DOI

S. Frixione, P. Nason, C. Oleari, Matching NLO QCD computations with parton shower simulations: the POWHEG method. JHEP DOI

S. Alioli, P. Nason, C. Oleari, E. Re, A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX. JHEP DOI

S. Alioli et al., Jet pair production in POWHEG. JHEP DOI

J. Bellm et al., herwig 7.0/ herwig++ 3.0 release note. Eur. Phys. J. C DOI

CMS Collaboration, Development and validation of herwig 7 tunes from CMS underlying-event measurements. Eur. Phys. J. C PubMed DOI PMC

S. Dittmaier, A. Huss, C. Speckner, Weak radiative corrections to dijet production at hadron colliders. JHEP DOI

A. Buckley et al., LHAPDF6: parton density access in the LHC precision era. Eur. Phys. J. C DOI

S. Alekhin, J. Blümlein, S. Moch, R. Plačakytė, Parton distribution functions, [Image: see text] , and heavy-quark masses for LHC Run II. Phys. Rev. D DOI

T.-J. Hou et al., New CTEQ global analysis of quantum chromodynamics with high-precision data from the LHC. Phys. Rev. D DOI

S. Bailey et al., Parton distributions from LHC, HERA, Tevatron and fixed target data: MSHT20 PDFs. Eur. Phys. J. C DOI

NNPDF Collaboration, Parton distributions from high-precision collider data. Eur. Phys. J. C PubMed PMC

CMS Collaboration, Measurement of the ratio of inclusive jet cross sections using the anti- [Image: see text] algorithm with radius parameters [Image: see text] and [Image: see text] in [Image: see text] collisions at [Image: see text] = 7 TeV. Phys. Rev. D

ATLAS Collaboration, Measurement of the inclusive jet cross-sections in proton–proton collisions at [Image: see text]  TeV with the ATLAS detector. JHEP

CMS Collaboration, Measurement and QCD analysis of double-differential inclusive jet cross sections in proton–proton collisions at [Image: see text] = 13 TeV. JHEP DOI

CMS Collaboration, Addendum to: Measurement and QCD analysis of double-differential inclusive jet cross sections in proton–proton collisions at [Image: see text] = 13 TeV. JHEP DOI

H1 and ZEUS Collaborations, Impact of jet-production data on the next-to-next-to-leading-order determination of HERAPDF2.0 parton distributions. Eur. Phys. J. C

J. Bellm et al., Jet cross sections at the LHC and the quest for higher precision. Eur. Phys. J. C PubMed DOI PMC

S. Alekhin et al., HERAFitter: open source QCD fit project. Eur. Phys. J. C DOI

V. Bertone et al., xFitter 2.0.0: An open source QCD fit framework, in

Y.L. Dokshitzer, Calculation of the structure functions for deep inelastic scattering and [Image: see text] annihilation by perturbation theory in quantum chromodynamics. Sov. Phys. JETP

V.N. Gribov, L.N. Lipatov, Deep inelastic [Image: see text] scattering in perturbation theory. Sov. J. Nucl. Phys.

G. Altarelli, G. Parisi, Asymptotic freedom in parton language. Nucl. Phys. B DOI

M. Botje, QCDNUM: fast QCD evolution and convolution. Comput. Phys. Commun. DOI

R.S. Thorne, R.G. Roberts, Ordered analysis of heavy flavor production in deep inelastic scattering. Phys. Rev. D DOI

R.S. Thorne, Variable-flavor number scheme for next-to-next-to-leading order. Phys. Rev. D DOI

R.S. Thorne, Effect of changes of variable flavor number scheme on parton distribution functions and predicted cross sections. Phys. Rev. D DOI

W.T. Giele, S. Keller, Implications of hadron collider observables on parton distribution function uncertainties. Phys. Rev. D DOI

W.T. Giele, S.A. Keller, D.A. Kosower, Parton distribution function uncertainties (2001). arXiv:hep-ph/0104052

J. Pumplin et al., Uncertainties of predictions from parton distribution functions. II. The Hessian method. Phys. Rev. D

Particle Data Group, R.L. Workman et al., Review of particle physics. Prog. Theor. Exp. Phys.

CMS Collaboration, Measurement and QCD analysis of double-differential inclusive jet cross sections in pp collisions at [Image: see text] and cross section ratios to 2.76 and 7 TeV. JHEP