CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-PAS-SMP-25-005
Measurement of the fragmentation properties of $ \Upsilon(\mathrm{nS}) $ mesons inside jets in $ \mathrm{pp} $ collisions at $ \sqrt{s} = $ 13 TeV
Abstract: A measurement of the fragmentation properties of $ \Upsilon(\mathrm{nS}) $ mesons inside jets using 138 fb$ ^{-1} $ of proton-proton collisions at $ \sqrt{s} = $ 13 TeV is presented. The $ \Upsilon(\mathrm{nS}) $ mesons are reconstructed via their decays to pairs of oppositely charged muons and are associated with anti-$ k_{\mathrm{T}} $ jets if both muons are clustered among the jet constituents and the angular distance between the $ \Upsilon(\mathrm{nS}) $ candidate and the jet axis is smaller than the jet distance parameter, $ R = $ 0.4. The longitudinal and transverse projections of the momenta of the $ \Upsilon(\mathrm{nS}) $ mesons along the momenta of the corresponding jets are studied and corrected for detector effects, and the experimental uncertainties in the measurements are evaluated. The results are compared with Monte Carlo predictions, including recent developments in quarkonia production in parton showers. The description of the data by these Monte Carlo predictions is found to be unsatisfactory, leaving room for improvements in the modelling of such processes.
Figures Summary References CMS Publications
Figures

png pdf
Figure 1:
Example diagrams for the hard production of $ \Upsilon{\textrm{(nS)}} $ mesons in the colour singlet (left) and colour octet mechanisms (right).

png pdf
Figure 1-a:
Example diagrams for the hard production of $ \Upsilon{\textrm{(nS)}} $ mesons in the colour singlet (left) and colour octet mechanisms (right).

png pdf
Figure 1-b:
Example diagrams for the hard production of $ \Upsilon{\textrm{(nS)}} $ mesons in the colour singlet (left) and colour octet mechanisms (right).

png pdf
Figure 2:
Fits to the invariant mass distributions of $ \Upsilon{\textrm{(nS)}} $ candidates in two representative ranges of the jet $ p_{\mathrm{T}} $ and the fragmentation variables $ z $ (left) and $ p_{\mathrm{T}}^{\text{rel}} $ (right). The fit components, including signal and background functions, are also shown on the top panels. The lower panel shows the difference between the data and the fitted function, divided by the statistical uncertainty on the data. The model shows, in general, a good agreement with the data.

png pdf
Figure 2-a:
Fits to the invariant mass distributions of $ \Upsilon{\textrm{(nS)}} $ candidates in two representative ranges of the jet $ p_{\mathrm{T}} $ and the fragmentation variables $ z $ (left) and $ p_{\mathrm{T}}^{\text{rel}} $ (right). The fit components, including signal and background functions, are also shown on the top panels. The lower panel shows the difference between the data and the fitted function, divided by the statistical uncertainty on the data. The model shows, in general, a good agreement with the data.

png pdf
Figure 2-b:
Fits to the invariant mass distributions of $ \Upsilon{\textrm{(nS)}} $ candidates in two representative ranges of the jet $ p_{\mathrm{T}} $ and the fragmentation variables $ z $ (left) and $ p_{\mathrm{T}}^{\text{rel}} $ (right). The fit components, including signal and background functions, are also shown on the top panels. The lower panel shows the difference between the data and the fitted function, divided by the statistical uncertainty on the data. The model shows, in general, a good agreement with the data.

png pdf
Figure 3:
Detector-level distributions of the longitudinal profile for $ \Upsilon{\textrm{(1S)}} $ mesons (left) and transverse profile for $ \Upsilon{\textrm{(3S)}} $ mesons (right) for two different ranges of the jet transverse momentum. The error bars on the data distributions represent the statistical uncertainties.

png pdf
Figure 3-a:
Detector-level distributions of the longitudinal profile for $ \Upsilon{\textrm{(1S)}} $ mesons (left) and transverse profile for $ \Upsilon{\textrm{(3S)}} $ mesons (right) for two different ranges of the jet transverse momentum. The error bars on the data distributions represent the statistical uncertainties.

png pdf
Figure 3-b:
Detector-level distributions of the longitudinal profile for $ \Upsilon{\textrm{(1S)}} $ mesons (left) and transverse profile for $ \Upsilon{\textrm{(3S)}} $ mesons (right) for two different ranges of the jet transverse momentum. The error bars on the data distributions represent the statistical uncertainties.

png pdf
Figure 4:
Transfer matrices for the longitudinal profile of jets containing $ \Upsilon{\textrm{(1S)}} $ mesons (left) and for the transverse profile of jets containing $ \Upsilon{\textrm{(3S)}} $ (right).

png pdf
Figure 4-a:
Transfer matrices for the longitudinal profile of jets containing $ \Upsilon{\textrm{(1S)}} $ mesons (left) and for the transverse profile of jets containing $ \Upsilon{\textrm{(3S)}} $ (right).

png pdf
Figure 4-b:
Transfer matrices for the longitudinal profile of jets containing $ \Upsilon{\textrm{(1S)}} $ mesons (left) and for the transverse profile of jets containing $ \Upsilon{\textrm{(3S)}} $ (right).

png pdf
Figure 5:
Relative values of the systematic uncertainties discussed in the text, together with the total uncertainty band, for the longitudinal and transverse profiles of $ \Upsilon{\textrm{(2S)}} $ mesons in jets with 75 $ < p_{\mathrm{T}} < $ 100 GeV.

png pdf
Figure 5-a:
Relative values of the systematic uncertainties discussed in the text, together with the total uncertainty band, for the longitudinal and transverse profiles of $ \Upsilon{\textrm{(2S)}} $ mesons in jets with 75 $ < p_{\mathrm{T}} < $ 100 GeV.

png pdf
Figure 5-b:
Relative values of the systematic uncertainties discussed in the text, together with the total uncertainty band, for the longitudinal and transverse profiles of $ \Upsilon{\textrm{(2S)}} $ mesons in jets with 75 $ < p_{\mathrm{T}} < $ 100 GeV.

png pdf
Figure 6:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(1S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 6-a:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(1S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 6-b:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(1S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 6-c:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(1S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 6-d:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(1S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 6-e:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(1S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 6-f:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(1S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 7:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(2S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 7-a:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(2S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 7-b:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(2S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 7-c:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(2S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 7-d:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(2S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 7-e:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(2S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 7-f:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(2S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 8:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(3S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 8-a:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(3S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 8-b:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(3S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 8-c:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(3S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 8-d:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(3S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 8-e:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(3S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).

png pdf
Figure 8-f:
Particle-level results for the longitudinal (left) and transverse profiles (right) of jets containing $ \Upsilon{\textrm{(3S)}} $ mesons in three different $ p_{\mathrm{T}} $ regions. The data (black points) are compared to the expectations of PYTHIA 8.2 with the CP1 (blue) and CP5 tunes (red), as well as the PYTHIA 8.3 predictions with the CP1 (green) and CP5 tunes (violet).
Summary
A measurement of the fragmentation variables of $ \Upsilon(\mathrm{nS}) $ quarkonia inside jets is presented. The measurement is performed using the dimuon decays of the $ \Upsilon(\mathrm{nS}) $ mesons and the jets in which the dimuon system is embedded. As muons account for a significant fraction of the jet momentum, a special calibration is derived by taking into account only the hadronic part of the jet, correcting for biases in the jet response. Corrections for muon energy and momentum scale, muon efficiency, jet energy resolution, pileup, and trigger prefiring are applied to the MC samples to correct for the differences observed with respect to data. The measured variables include the longitudinal profile $z$, i.e the fraction of the jet momentum carried by the $ \Upsilon$ in the direction of the jet axis, and the transverse profile, i.e. the momentum of the $ \Upsilon$ meson in the direction perpendicular to the jet axis. The results are unfolded to particle level using the D'Agostini iterative method and the experimental uncertainties affecting jets, muons, the unfolding, and other physics effects are estimated. The results are compared with the predictions from PYTHIA {}\,8.240, which makes use of both the CP1 and CP5 tunes, as well as with the PYTHIA {}\,8.310 predictions, which uses an alternative approach for the generation of quarkonia in jets. The results, as already observed for $J/\Psi$ mesons in previous measurements by CMS and LHCb, show important discrepancies between the data and the predictions, pointing to $ \Upsilon$ mesons carrying a smaller energy fraction of the jet than what is predicted in the PYTHIA implementations of nonrelativistic quantum chromodynamics (NRQCD). While the PYTHIA {}\,8.3 improvements tend to go in the correct direction, showing less isolated quarkonia, these results suggest that further tuning is needed to achieve a satisfactory description. It is expected that the present measurement will add useful information to the so-called quarkonia polarization puzzle, by adding more data for potential fits of the long-distance matrix elements for $ \Upsilon(\mathrm{nS}) $ production in NRQCD.
References
1 B. Mele and P. Nason The fragmentation function for heavy quarks in QCD NPB 361 (1991) 626
2 M. Cacciari and E. Gardi Heavy-quark fragmentation NPB 664 (2003) 299 hep-ph/0301047
3 ATLAS Collaboration Measurement of $ D^{*\pm} $ meson production in jets from $ pp $ collisions at $ \sqrt(s) = $ 7 TeV with the ATLAS detector PRD 85 (2012) 052005 1112.4432
4 ATLAS Collaboration Measurement of $ b $-quark fragmentation properties in jets using the decay $ B^\pm\to J/\psi K^\pm $ in $ pp $ collisions at $ \sqrt{s} = $ 13 TeV with the ATLAS detector JHEP 12 (2021) 131 2108.11650
5 ALICE Collaboration Measurement of the production of charm jets tagged with $ D^0 $ mesons in $ pp $ collisions at $ \sqrt{s} = $ 5.02 and 13 TeV JHEP 06 (2023) 133 2204.10167
6 W. E. Caswell and G. P. Lepage Effective lagrangians for bound state problems in QED, QCD, and other field theories PLB 167 (1986) 437
7 G. T. Bodwin, E. Braaten, and G. P. Lepage Rigorous QCD Analysis of Inclusive Annihilation and Production of Heavy Quarkonium PRD 51 (1995) 1125 hep-ph/9407339
8 P. Cho and A. K. Leibovich Color-octet quarkonia production PRD 53 (1996) 150 hep-ph/9505329
9 P. Cho and A. K. Leibovich Color-octet quarkonia production II PRD 53 (1996) 6203 hep-ph/9511315
10 LHCb Collaboration Study of $ J/\psi $ production in jets PRL 118 (2017) 192001 1701.05116
11 LHCb Collaboration Measurements of $ \psi(2S) $ and $ \chi_{c1}(3872) $ production within fully reconstructed jets EPJC 85 (2025) 562 2410.18018
12 CMS Collaboration Fragmentation of jets containing a prompt $ J/\psi $ meson in Pb-Pb and $ pp $ collisions at $ \sqrt {\smash [b]{s_{_{\mathrm {NN}}}}}= $ 5.02 TeV PLB 825 (2021) 136842 CMS-HIN-19-007
2106.13235
13 S. P. Baranov, A. V. Lipatov, and N. P. Zotov Prompt charmonia production and polarization at LHC in the NRQCD with $ k_T $-factorization. Part I: $ \psi(2S) $ meson EPJC 75 (2015) 455 1508.05480
14 S. P. Baranov, A. V. Lipatov, and N. P. Zotov Prompt charmonia production and polarization at LHC in the NRQCD with $ k_T $-factorization. Part II: $ \chi_c $ mesons PRD 93 (2016) 094012 1510.02411
15 S. P. Baranov and A. V. Lipatov Prompt charmonia production and polarization at LHC in the NRQCD with $ k_T $-factorization. Part III: $ J/\psi $ meson PRD 96 (2017) 034019 1611.10141
16 Z. B. Kang et al. $ J/\psi $ production and polarization within a jet PRL 119 (2017) 032001 1702.03287
17 LHCb Collaboration Measurement of $ J/\psi $ polarization in $ pp $ collisions at $ \sqrt{s}= $ 7 TeV EPJC 73 (2013) 2631 1307.6379
18 CMS Collaboration Measurement of the $ \varUpsilon(1S) $, $ \varUpsilon(2S) $, and $ \varUpsilon(3S) $ polarizations in $ pp $ collisions at $ \sqrt{s} = $ 7 TeV Phys. Rev. Lett 110 (2013) 081802 CMS-BPH-11-023
1209.2922
19 T. Sjöstrand, S. Mrenna, and P. Z. Skands A Brief Introduction to PYTHIA 8.1 Comput. Phys. Comm. 178 (2008) 852 0710.3820
20 T. Sjöstrand et al. An introduction to PYTHIA 8.2 Comp. Phys. Comm. 191 (2015) 159 1410.3012
21 C. Bierlich et al. A comprehensive guide to the physics and usage of PYTHIA 8.3 SciPost Phys. Codebases 8, 2022
link
2203.11601
22 R. Bain et al. NRQCD Confronts LHCb Data on Quarkonium Production within Jets PRL 119 (2017) 032002 1702.05525
23 Y. Wang, D. Kang, and H. S. Chung NRQCD Re-Confronts LHCb Data on Quarkonium Production within Jets PRD 112 (2025) 071504 2507.19022
24 N. Cooke, P. Ilten, L. Lönnblad, and S. Mrenna Non-Relativistic Quantum Chromodynamics in Parton Showers EPJC 84 (2024) 432 2312.05203
25 F. G. Celiberto On the Quarkonium-in-jet Collinear Fragmentation at Moderate-to-large Transverse Momentum Acta Phys. Pol. Supp. 18 (2025) 1 2412.05661
26 F. G. Celiberto and F. Lonigro Pseudoscalar heavy-quarkonium hadroproduction from nonrelativistic fragmentation at $ \mathrm{NLL}/{\mathrm{NLO}}^{+} $ PRD 112 (2025) 114040 2510.10593
27 M. G. Echeverr \'i a, Y. Makris, and I. Scimemi Quarkonium TMD fragmentation functions in NRQCD JHEP 10 (2020) 164 2007.05547
28 M. G. Echeverr \'i a, S. F. Romera, and I. Scimemi Gluon TMD fragmentation function into quarkonium JHEP 12 (2023) 181 2308.12356
29 M. Copeland et al. Polarized TMD fragmentation functions for $ J/\psi $ production PRD 109 (2024) 054017 2308.08605
30 E. Chapon et al. Prospects for quarkonium studies at the high-luminosity LHC Prog. Part. Nucl. Phys. 122 (2022) 103906 2012.14161
31 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004
32 CMS Collaboration Development of the CMS detector for the CERN LHC Run 3 JINST 19 (2024) P05064 CMS-PRF-21-001
2309.05466
33 CMS Collaboration Performance of the CMS Level-1 trigger in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JINST 15 (2020) P10017 CMS-TRG-17-001
2006.10165
34 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
35 CMS Collaboration Performance of the CMS high-level trigger during LHC run 2 JINST 19 (2024) P11021 CMS-TRG-19-001
2410.17038
36 CMS Collaboration Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC JINST 16 (2021) P05014 CMS-EGM-17-001
2012.06888
37 CMS Collaboration Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at $ \sqrt{s}= $ 13 TeV JINST 13 (2018) P06015 CMS-MUO-16-001
1804.04528
38 CMS Collaboration Description and performance of track and primary-vertex reconstruction with the CMS tracker JINST 9 (2014) P10009 CMS-TRK-11-001
1405.6569
39 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
40 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ k_{\mathrm{T}} $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
41 M. Cacciari, G. P. Salam, and G. Soyez FastJet user manual EPJC 72 (2012) 1896 1111.6097
42 CMS Collaboration Pileup mitigation at CMS in 13 TeV data JINST 15 (2020) P09018 CMS-JME-18-001
2003.00503
43 CMS Collaboration Jet energy scale and resolution in the CMS experiment in pp collisions at 8 \unitTeV JINST 12 (2017) P02014 CMS-JME-13-004
1607.03663
44 CMS Collaboration Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements EPJC 80 (2020) 4 CMS-GEN-17-001
1903.12179
45 R. Baier and R. R \"u ckl Hadronic collisions: A quarkonium factory Z. Phys. C 19 (1983) 251
46 R. Gastmans, W. Troost, and T. Wu Production of heavy quarkonia from gluons NPB 291 (1987) 731
47 D. J. Lange The EvtGen particle decay simulation package Nucl. Instrum. Meth. A 462 152, 2001
link
48 S. Agostinelli et al. GEANT 4 -- a simulation toolkit NIM A 506 (2003) 250
49 A. Bodek et al. Extracting muon momentum scale corrections for hadron collider experiments EPJC 72 (2012) 2194 1208.3710
50 CMS Collaboration Measurement of the inelastic proton-proton cross section at $ \sqrt{s} = $ 13 TeV JHEP 07 (2018) 161 CMS-FSQ-15-005
1802.02613
51 CMS Collaboration Performance of the CMS muon trigger system in proton-proton collisions at $ \sqrt{s} = $ 13 TeV JINST 16 (2021) P07001 CMS-MUO-19-001
2102.04790
52 E. Braaten and T. C. Yuan Gluon fragmentation into heavy quarkonium PRL 71 (1993) 1673 hep-ph/9303205
53 E. Braaten, K. Cheung, and T. C. Yuan $ Z^0 $ decay into charmonium via charm quark fragmentation PRD 48 (1993) 4230 hep-ph/9302307
54 E. Braaten and T. C. Yuan Gluon fragmentation into $ P $-wave heavy quarkonium PRD 50 (1994) 3176 hep-ph/9403401
55 E. Braaten and T. C. Yuan Gluon fragmentation into spin triplet $ S $-wave quarkonium PRD 52 (1995) 6627 hep-ph/9507398
56 T. C. Yuan Perturbative QCD fragmentation functions for production of $ P $-wave mesons with charm and beauty PRD 50 (1994) 5664 hep-ph/9405348
57 CMS Collaboration Precision luminosity measurement in proton-proton collisions at $ \sqrt{s} = $ 13 TeV in 2015 and 2016 at CMS EPJC 81 (2021) 800 CMS-LUM-17-003
2104.01927
58 CMS Collaboration CMS luminosity measurement for the 2017 data-taking period at $ \sqrt{s} = $ 13 TeV CMS Physics Analysis Summary, 2018
CMS-PAS-LUM-17-004
CMS-PAS-LUM-17-004
59 CMS Collaboration CMS luminosity measurement for the 2018 data-taking period at $ \sqrt{s} = $ 13 TeV CMS Physics Analysis Summary, 2019
CMS-PAS-LUM-18-002
CMS-PAS-LUM-18-002
60 R. L. Workman et al. Review of Particle Physics PTEP 2022 (2022) 083C01
61 G. D'Agostini A multidimensional unfolding method based on Bayes' theorem NIM A 362 (1995) 467
62 T. Adye Unfolding algorithms and tests using RooUnfold Workshop, CERN Geneva, Switzerland, CERN-2011-006, 313, 2011
Proceedings of the PHYSTAT 2011 (2011) W
1105.1160
63 CMS Collaboration Measurement of the inclusive $ W $ and $ Z $ production cross sections in $ pp $ collisions at $ \sqrt{s} = $ 7 TeV JHEP 10 (2011) 132 CMS-EWK-10-005
1107.4789
Compact Muon Solenoid
LHC, CERN