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CMS-PAS-FTR-18-027
Constraining nuclear parton distributions with heavy ion collisions at the HL-LHC with the CMS experiment
Abstract: Recent measurements in heavy ion collisions by the CERN LHC Collaborations have been used to assess nuclear effects and provide valuable data for nuclear parton distribution analyses. In this note, performance studies for measurements with the CMS detector at the High-Luminosity LHC (HL-LHC) are presented. These include the coherent $\Upsilon(1\text{S})$ photoproduction in ultraperipheral lead-lead collisions, corresponding to a total integrated luminosity of 10 nb$^{-1}$ at a nucleon-nucleon (NN) center-of-mass energy ($\sqrt{\smash [b]{s_{_{\mathrm {NN}}}}}$) of 5.5 TeV. This note also presents the performance studies at the HL-LHC for analyses of inclusive Z boson, dijet, and top quark pair production in proton-lead collisions at $\sqrt{\smash [b]{s_{_{\mathrm {NN}}}}}= $ 8.16 TeV for an integrated luminosity of 2 pb$^{-1}$.
Figures Summary References CMS Publications
Figures

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Figure 1:
Projections for gluon shadowing factor measured with $\Upsilon (1\text{S})$ photoproduction in ultraperipheral PbPb collisions at $ {\sqrt {\smash [b]{s_{_{\mathrm {NN}}}}}} =$ 5.5 TeV. The error bars represent the statistical uncertainties, and the boxes the systematic ones. The projected data is compared to the central value of the EPS09 global fit [26]. The most dominant uncertainties are those of EPS09 (not shown).

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Figure 2:
Projections for Z boson differential cross section in pPb collisions at $ {\sqrt {\smash [b]{s_{_{\mathrm {NN}}}}}} =$ 8.16 TeV as a function of the Z boson rapidity in the center-of-mass (CM) frame. The expectations from CT14 PDF and EPPS16 nPDF are also shown.

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Figure 3:
Distributions of the ${m_{{\mathrm {j} \mathrm {j}^{\prime}}}}$ (top) and ${m_\text {top}}$ (bottom). From left to right the events are classified in the 0, 1, and 2 b-tagged jet categories. The sum of the predictions for the $ {{\mathrm {t}\overline {\mathrm {t}}}} $ signal and background is compared to pseudo-data (sampled randomly from the total of the predictions in each category). The bottom plots show the ratio between the pseudo-data and the sum of the predictions. The shaded band represents the relative uncertainty due to the limited event count in the simulated samples and the estimate of the normalization of the QCD multijet background.

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Figure 3-a:
Distribution of ${m_{{\mathrm {j} \mathrm {j}^{\prime}}}}$ for events classified in the 0 b-tagged jet category. The sum of the predictions for the $ {{\mathrm {t}\overline {\mathrm {t}}}} $ signal and background is compared to pseudo-data (sampled randomly from the total of the predictions in each category). The bottom plot shows the ratio between the pseudo-data and the sum of the predictions. The shaded band represents the relative uncertainty due to the limited event count in the simulated samples and the estimate of the normalization of the QCD multijet background.

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Figure 3-b:
Distribution of ${m_{{\mathrm {j} \mathrm {j}^{\prime}}}}$ for events classified in the 1 b-tagged jet category. The sum of the predictions for the $ {{\mathrm {t}\overline {\mathrm {t}}}} $ signal and background is compared to pseudo-data (sampled randomly from the total of the predictions in each category). The bottom plot shows the ratio between the pseudo-data and the sum of the predictions. The shaded band represents the relative uncertainty due to the limited event count in the simulated samples and the estimate of the normalization of the QCD multijet background.

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Figure 3-c:
Distribution of ${m_{{\mathrm {j} \mathrm {j}^{\prime}}}}$ for events classified in the 2 b-tagged jet category. The sum of the predictions for the $ {{\mathrm {t}\overline {\mathrm {t}}}} $ signal and background is compared to pseudo-data (sampled randomly from the total of the predictions in each category). The bottom plot shows the ratio between the pseudo-data and the sum of the predictions. The shaded band represents the relative uncertainty due to the limited event count in the simulated samples and the estimate of the normalization of the QCD multijet background.

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Figure 3-d:
Distribution of ${m_\text {top}}$ for events classified in the 0 b-tagged jet category. The sum of the predictions for the $ {{\mathrm {t}\overline {\mathrm {t}}}} $ signal and background is compared to pseudo-data (sampled randomly from the total of the predictions in each category). The bottom plot shows the ratio between the pseudo-data and the sum of the predictions. The shaded band represents the relative uncertainty due to the limited event count in the simulated samples and the estimate of the normalization of the QCD multijet background.

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Figure 3-e:
Distribution of ${m_\text {top}}$ for events classified in the 1 b-tagged jet category. The sum of the predictions for the $ {{\mathrm {t}\overline {\mathrm {t}}}} $ signal and background is compared to pseudo-data (sampled randomly from the total of the predictions in each category). The bottom plot shows the ratio between the pseudo-data and the sum of the predictions. The shaded band represents the relative uncertainty due to the limited event count in the simulated samples and the estimate of the normalization of the QCD multijet background.

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Figure 3-f:
Distribution of ${m_\text {top}}$ for events classified in the 2 b-tagged jet category. The sum of the predictions for the $ {{\mathrm {t}\overline {\mathrm {t}}}} $ signal and background is compared to pseudo-data (sampled randomly from the total of the predictions in each category). The bottom plot shows the ratio between the pseudo-data and the sum of the predictions. The shaded band represents the relative uncertainty due to the limited event count in the simulated samples and the estimate of the normalization of the QCD multijet background.

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Figure 4:
The top panels represent the differential $ {{\mathrm {t}\overline {\mathrm {t}}}} $ production cross section in the visible phase space as a function of the charged lepton ${p_{\mathrm {T}}}$ (left) and rapidity (right) at reconstruction level. The statistical uncertainty in the pseudo-data, represented by the inner error bars, is estimated through the application of the sPlot technique [41]. The outer error bars represent the total uncertainty, assuming a conservative 5% systematic uncertainty envelope. The uncertainty in the {powheg+{pythia}} [36,37,38,39] prediction is shown as a band corresponding to the 68% CL variation envelope of the EPPS16 [29] nPDF eigenvalues. The bottom panels represent the relative uncertainties in the pseudo-data and theory predictions.

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Figure 4-a:
The top panel represents the differential $ {{\mathrm {t}\overline {\mathrm {t}}}} $ production cross section in the visible phase space as a function of the charged lepton ${p_{\mathrm {T}}}$ at reconstruction level. The statistical uncertainty in the pseudo-data, represented by the inner error bars, is estimated through the application of the sPlot technique [41]. The outer error bars represent the total uncertainty, assuming a conservative 5% systematic uncertainty envelope. The uncertainty in the {powheg+{pythia}} [36,37,38,39] prediction is shown as a band corresponding to the 68% CL variation envelope of the EPPS16 [29] nPDF eigenvalues. The bottom panel represents the relative uncertainties in the pseudo-data and theory predictions.

png pdf
Figure 4-b:
The top panel represents the differential $ {{\mathrm {t}\overline {\mathrm {t}}}} $ production cross section in the visible phase space as a function of the charged lepton rapidity at reconstruction level. The statistical uncertainty in the pseudo-data, represented by the inner error bars, is estimated through the application of the sPlot technique [41]. The outer error bars represent the total uncertainty, assuming a conservative 5% systematic uncertainty envelope. The uncertainty in the {powheg+{pythia}} [36,37,38,39] prediction is shown as a band corresponding to the 68% CL variation envelope of the EPPS16 [29] nPDF eigenvalues. The bottom panel represents the relative uncertainties in the pseudo-data and theory predictions.

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Figure 5:
Projections for dijet pseudorapidity distributions for pPb collisions with a total integrated luminosity of 2 pb$^{-1}$.
Summary
We have presented a series of performance studies for future measurements in both PbPb and pPb collisions for the High-Luminosity LHC project, putting special emphasis on a selected number of physics analyses that can serve to get insights into nuclear effects and nuclear parton distribution functions with the projected larger sample sizes that are envisaged.
References
1 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004 CMS-00-001
2 G. Apollinari et al. High-Luminosity Large Hadron Collider (HL-LHC) : Preliminary Design Report CERN Yellow Reports: Monographs (2015)
3 G. Apollinari et al. High-Luminosity Large Hadron Collider (HL-LHC): Technical Design Report v0.1 CERN Yellow Reports: Monographs (2017).%%%%
4 D. Contardo et al. Technical proposal for the Phase-2 upgrade of the CMS detector CERN-LHCC-2015-010, CMS-TDR-15-02
5 CMS Collaboration The Phase-2 upgrade of the CMS tracker CDS
6 CMS Collaboration The Phase-2 upgrade of the CMS barrel calorimeters CDS
7 CMS Collaboration The Phase-2 upgrade of the CMS endcap calorimeter CDS
8 CMS Collaboration The Phase-2 upgrade of the CMS muon detectors CDS
9 CMS Collaboration CMS Phase-2 object performance
10 A. J. Baltz The physics of ultraperipheral collisions at the LHC PR 458 (2008) 1--171 0706.3356
11 ALICE Collaboration Coherent $ \rho^{0} $ photoproduction in ultraperipheral PbPb collisions at $ \sqrt{\smash [b]{s_{_{\mathrm {NN}}}}} = $ 2.76 TeV JHEP 09 (2015) 095 1503.09177
12 ALICE Collaboration Charmonium and $ \mathrm{e}^+\mathrm{e}^- $ pair photoproduction at midrapidity in ultraperipheral PbPb collisions at $ \sqrt{\smash [b]{s_{_{\mathrm {NN}}}}} = $ 2.76 TeV EPJC 73 (2013) 2617 1305.1467
13 ALICE Collaboration Coherent $ \mathrm{J}/\psi $ photoproduction in ultraperipheral PbPb collisions at $ \sqrt{\smash [b]{s_{_{\mathrm {NN}}}}} = $ 2.76 TeV PLB 718 (2013) 1273 1209.3715
14 CMS Collaboration Coherent $ \mathrm{J}/\psi $ photoproduction in ultraperipheral PbPb collisions at $ \sqrt{\smash [b]{s_{_{\mathrm {NN}}}}} = $ 2.76 TeV with the CMS experiment PLB 772 (2017) 489 CMS-HIN-12-009
1605.06966
15 ALICE Collaboration Coherent $ \psi $(2S) photoproduction in ultraperipheral Pb Pb collisions at $ \sqrt{\smash [b]{s_{_{\mathrm {NN}}}}} = $ 2.76 TeV PLB 751 (2015) 358 1508.05076
16 CMS Collaboration Exclusive $ \rho(770)^{0} $ photoproduction in ultraperipheral pPb collisions at $ \sqrt{\smash [b]{s_{_{\mathrm {NN}}}}}= $ 5.02 TeV with the CMS experiment CMS-PAS-FSQ-16-007 CMS-PAS-FSQ-16-007
17 CMS Collaboration Measurement of exclusive $ \Upsilon $ photoproduction from protons in pPb collisions at $ \sqrt{\smash [b]{s_{_{\mathrm {NN}}}}} = $ 5.02 TeV Submitted to EPJC CMS-FSQ-13-009
1809.11080
18 LHCb Collaboration Central exclusive production of $ \mathrm{J}/\psi $ and $ \psi(2S) $ mesons in pp collisions at $ \sqrt{s}= $ 13 TeV JHEP 10 (2018) 167 1806.04079
19 LHCb Collaboration Measurement of the exclusive $ \Upsilon $ production cross section in pp collisions at $ \sqrt{s}= $ 7 TeV and 8 TeV JHEP 09 (2015) 084 1505.08139
20 M. G. Ryskin Diffractive $ \mathrm{J}/\psi $ electroproduction in LLA QCD Z. Phys. C 57 (1993) 89
21 S. J. Brodsky et al. Diffractive leptoproduction of vector mesons in QCD PRD 50 (1994) 3134 hep-ph/9402283
22 V. Guzey, E. Kryshen, M. Strikman, and M. Zhalov Evidence for nuclear gluon shadowing from the ALICE measurements of PbPb ultraperipheral exclusive $ \mathrm{J}/\psi $ production PLB 726 (2013) 290 1305.1724
23 V. Guzey, E. Kryshen, and M. Zhalov Coherent photoproduction of vector mesons in ultraperipheral heavy ion collisions: Update for Run 2 at the CERN Large Hadron Collider PRC 93 (2016) 055206 1602.01456
24 L. Frankfurt, V. Guzey, and M. Strikman Dynamical model of antishadowing of the nuclear gluon distribution PRC 95 (2017) 055208 1612.08273
25 CMS Collaboration CMS luminosity measurement using 2016 proton-nucleus collisions at nucleon-nucleon center-of-mass energy of 8.16 TeV CMS-PAS-LUM-17-002 CMS-PAS-LUM-17-002
26 K. J. Eskola, H. Paukkunen, and C. A. Salgado EPS09: A New Generation of NLO and LO Nuclear Parton Distribution Functions JHEP 04 (2009) 065 0902.4154
27 J. M. Campbell and R. K. Ellis MCFM for the Tevatron and the LHC NPPS 205 (2010) 10 1007.3492
28 S. Dulat et al. New parton distribution functions from a global analysis of quantum chromodynamics PRD 93 (2016) 033006 1506.07443
29 K. J. Eskola, P. Paakkinen, H. Paukkunen, and C. A. Salgado EPPS16: Nuclear parton distributions with LHC data EPJC 77 (2017) 163 1612.05741
30 CMS Collaboration Study of Z boson production in pPb collisions at $ \sqrt{\smash [b]{s_{_{\mathrm {NN}}}}}= $ 5.02 TeV PLB 759 (2016) 36 CMS-HIN-15-002
1512.06461
31 Particle Data Group Collaboration The Review of Particle Physics PRD 98 (2018) 030001
32 CMS Collaboration Observation of top quark production in proton-nucleus collisions PRL 119 (2017) 242001 CMS-HIN-17-002
1709.07411
33 D. d'Enterria, K. Krajcz\'ar, and H. Paukkunen Top-quark production in proton--nucleus and nucleus--nucleus collisions at LHC energies and beyond PLB 746 (2015) 64 1501.05879
34 D. d'Enterria Top-quark pair production cross sections at NNLO+NNLL in pPb collisions at $ \sqrt{\smash [b]{s_{_{\mathrm {NN}}}}} = $ 8.16 TeV 1706.09521
35 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ k_{\rm T} $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
36 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with parton shower simulations: the POWHEG method JHEP 11 (2007) 070 0709.2092
37 S. Alioli, P. Nason, C. Oleari, and E. Re A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX JHEP 06 (2010) 043 1002.2581
38 S. Frixione, P. Nason, and G. Ridolfi A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction JHEP 09 (2007) 126
39 T. Sjostrand et al. An introduction to $ PYTHIA $ 8.2 CPC 191 (2015) 159 1410.3012
40 T. Sjostrand, S. Mrenna, and P. Z. Skands PYTHIA 6.4 Physics and Manual JHEP 05 (2006) 026 hep-ph/0603175
41 M. Pivk and F. R. Le Diberder $ _{s}\mathcal{P}lot $: A statistical tool to unfold data distributions NIMA 555 (2005) 356 physics/0402083
42 CMS Collaboration Projection of measurements of differential $ \mathrm{t\bar{t}} $ production cross sections in the e/$ \mu $+jets channels in pp collisions at the HL-LHC CMS-PAS-FTR-18-015 CMS-PAS-FTR-18-015
43 CMS Collaboration Object definitions for top quark analyses at the particle level CDS
44 J. Pumplin et al. Uncertainties of predictions from parton distribution functions II: The Hessian method PRD 65 (2001) 014013 hep-ph/0101032
45 K. J. Eskola, H. Paukkunen, and C. A. Salgado A perturbative QCD study of dijets in pPb collisions at the LHC JHEP 10 (2013) 213 1308.6733
46 CMS Collaboration Constraining gluon distributions in nuclei using dijets in proton-proton and proton-lead collisions at $ \sqrt{\smash [b]{s_{_{\mathrm {NN}}}}} = $ 5.02 TeV PRL 121 (2018) 062002 CMS-HIN-16-003
1805.04736
Compact Muon Solenoid
LHC, CERN