CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-PAS-HIN-25-002
Constraining low-$ x $ gluon densities with low-$ p_{\mathrm{T}} \rm D^{0} $ meson production in ultraperipheral lead-lead collisions at 5.36 TeV
Abstract: This analysis presents a rapidity-differential measurement of low transverse momentum ($ p_{\mathrm{T}} $) $ \rm D^{0} $ meson production in ultraperipheral lead-lead collisions at $ \sqrt{s_{_{NN}}} = $ 5.36 TeV. The study is performed in the $ \rm D^{0} $ meson $ p_{\mathrm{T}} $ range of 2 $ < p_{\mathrm{T}} < $ 5 GeV and in intervals of $ \rm D^{0} $ meson rapidity $ -$2 $ < y < $ 2. The results are compared to new predictions based on perturbative quantum chromodynamics, which are obtained using the most recent parametrization of the lead nuclear parton distribution functions, and to predictions based on the color glass condensate formalism, where nuclear suppression effects are dynamically generated. The extension of the kinematic range with respect to the previous measurement of photonuclear $ \rm D^{0} $ production, particularly in the low-$ p_{\mathrm{T}} $ regime, provides stronger constraints on nuclear shadowing effects and the possible emergence of gluon saturation at low $ p_{\mathrm{T}} $.
Figures & Tables Summary References CMS Publications
Figures

png pdf
Figure 1:
Mass fit for the $ \mathrm{D^0} $ yield extraction in the $ p_{\mathrm{T}} $-interval 2-5 GeV for $ \gamma+\textrm{N} $ events. A description of the fitting procedure for the yield extraction is included in the text.

png pdf
Figure 1-a:
Mass fit for the $ \mathrm{D^0} $ yield extraction in the $ p_{\mathrm{T}} $-interval 2-5 GeV for $ \gamma+\textrm{N} $ events. A description of the fitting procedure for the yield extraction is included in the text.

png pdf
Figure 1-b:
Mass fit for the $ \mathrm{D^0} $ yield extraction in the $ p_{\mathrm{T}} $-interval 2-5 GeV for $ \gamma+\textrm{N} $ events. A description of the fitting procedure for the yield extraction is included in the text.

png pdf
Figure 1-c:
Mass fit for the $ \mathrm{D^0} $ yield extraction in the $ p_{\mathrm{T}} $-interval 2-5 GeV for $ \gamma+\textrm{N} $ events. A description of the fitting procedure for the yield extraction is included in the text.

png pdf
Figure 1-d:
Mass fit for the $ \mathrm{D^0} $ yield extraction in the $ p_{\mathrm{T}} $-interval 2-5 GeV for $ \gamma+\textrm{N} $ events. A description of the fitting procedure for the yield extraction is included in the text.

png pdf
Figure 2:
Mass fit for the $ \mathrm{D^0} $ yield extraction in the $ p_{\mathrm{T}} $-interval 2-5 GeV for $ \textrm{N}+\gamma $ events. A description of the fitting procedure for the yield extraction is included in the text.

png pdf
Figure 2-a:
Mass fit for the $ \mathrm{D^0} $ yield extraction in the $ p_{\mathrm{T}} $-interval 2-5 GeV for $ \textrm{N}+\gamma $ events. A description of the fitting procedure for the yield extraction is included in the text.

png pdf
Figure 2-b:
Mass fit for the $ \mathrm{D^0} $ yield extraction in the $ p_{\mathrm{T}} $-interval 2-5 GeV for $ \textrm{N}+\gamma $ events. A description of the fitting procedure for the yield extraction is included in the text.

png pdf
Figure 2-c:
Mass fit for the $ \mathrm{D^0} $ yield extraction in the $ p_{\mathrm{T}} $-interval 2-5 GeV for $ \textrm{N}+\gamma $ events. A description of the fitting procedure for the yield extraction is included in the text.

png pdf
Figure 2-d:
Mass fit for the $ \mathrm{D^0} $ yield extraction in the $ p_{\mathrm{T}} $-interval 2-5 GeV for $ \textrm{N}+\gamma $ events. A description of the fitting procedure for the yield extraction is included in the text.

png pdf
Figure 3:
Double-differential $ \rm D^{0} $ photoproduction cross section ($ {\rm{d}}^2\sigma/{\rm{d}}y{\rm{d}}p_T $) for $ \gamma+\textrm{N} $ (left) and $ \textrm{N}+\gamma $ (right) events. Statistical uncertainties are shown in the vertical lines and the shaded regions represent the systematic uncertainties. The results are compared to the previous analysis [1].

png pdf
Figure 3-a:
Double-differential $ \rm D^{0} $ photoproduction cross section ($ {\rm{d}}^2\sigma/{\rm{d}}y{\rm{d}}p_T $) for $ \gamma+\textrm{N} $ (left) and $ \textrm{N}+\gamma $ (right) events. Statistical uncertainties are shown in the vertical lines and the shaded regions represent the systematic uncertainties. The results are compared to the previous analysis [1].

png pdf
Figure 3-b:
Double-differential $ \rm D^{0} $ photoproduction cross section ($ {\rm{d}}^2\sigma/{\rm{d}}y{\rm{d}}p_T $) for $ \gamma+\textrm{N} $ (left) and $ \textrm{N}+\gamma $ (right) events. Statistical uncertainties are shown in the vertical lines and the shaded regions represent the systematic uncertainties. The results are compared to the previous analysis [1].

png pdf
Figure 4:
Cross section of $ \rm D^{0} $ meson production in data (black boxes) compared with the theoretical predictions calculated in the FONLL framework using the CTEQ18 proton PDF parametrization. The prediction with a charm quark mass of $ m_c = $ 1.3 GeV is shown in the left plot, and that with $ m_c = $ 1.5 GeV is shown on the right. The dark shade represents the uncertainty from the nPDF parametrization, whereas the lighter shade (solid lines) represents the uncertainty from scale variations on the FONLL calculation for $ m_c = $ 1.3 GeV ($ m_c = $ 1.5 GeV).

png pdf
Figure 4-a:
Cross section of $ \rm D^{0} $ meson production in data (black boxes) compared with the theoretical predictions calculated in the FONLL framework using the CTEQ18 proton PDF parametrization. The prediction with a charm quark mass of $ m_c = $ 1.3 GeV is shown in the left plot, and that with $ m_c = $ 1.5 GeV is shown on the right. The dark shade represents the uncertainty from the nPDF parametrization, whereas the lighter shade (solid lines) represents the uncertainty from scale variations on the FONLL calculation for $ m_c = $ 1.3 GeV ($ m_c = $ 1.5 GeV).

png pdf
Figure 4-b:
Cross section of $ \rm D^{0} $ meson production in data (black boxes) compared with the theoretical predictions calculated in the FONLL framework using the CTEQ18 proton PDF parametrization. The prediction with a charm quark mass of $ m_c = $ 1.3 GeV is shown in the left plot, and that with $ m_c = $ 1.5 GeV is shown on the right. The dark shade represents the uncertainty from the nPDF parametrization, whereas the lighter shade (solid lines) represents the uncertainty from scale variations on the FONLL calculation for $ m_c = $ 1.3 GeV ($ m_c = $ 1.5 GeV).

png pdf
Figure 5:
Cross section of $ \rm D^{0} $ meson production in data (black boxes) compared with the theoretical predictions calculated in the FONLL framework using the EPPS21 nuclear PDF parametrization. The prediction with a charm quark mass of $ m_c = $ 1.3 GeV is shown in the left plot, and that with $ m_c = $ 1.5 GeV is shown on the right. The dark shade represents the uncertainty from the nPDF parametrization, whereas the lighter shade represents the uncertainty from scale variations on the FONLL calculation.

png pdf
Figure 5-a:
Cross section of $ \rm D^{0} $ meson production in data (black boxes) compared with the theoretical predictions calculated in the FONLL framework using the EPPS21 nuclear PDF parametrization. The prediction with a charm quark mass of $ m_c = $ 1.3 GeV is shown in the left plot, and that with $ m_c = $ 1.5 GeV is shown on the right. The dark shade represents the uncertainty from the nPDF parametrization, whereas the lighter shade represents the uncertainty from scale variations on the FONLL calculation.

png pdf
Figure 5-b:
Cross section of $ \rm D^{0} $ meson production in data (black boxes) compared with the theoretical predictions calculated in the FONLL framework using the EPPS21 nuclear PDF parametrization. The prediction with a charm quark mass of $ m_c = $ 1.3 GeV is shown in the left plot, and that with $ m_c = $ 1.5 GeV is shown on the right. The dark shade represents the uncertainty from the nPDF parametrization, whereas the lighter shade represents the uncertainty from scale variations on the FONLL calculation.

png pdf
Figure 6:
Cross section of $ \rm D^{0} $ meson production in data (black boxes) compared with the theoretical prediction provided by FONLL with nNNPDF3.0 nuclear PDF parametrization. The dark shade represents the uncertainty from the nPDF parametrization, whereas the lighter shade represents the uncertainty from scale variations on the FONLL calculation.

png pdf
Figure 7:
Ratio of $ \rm D^{0} $ meson production cross sections relative to FONLL predictions using the CTEQ18 proton PDF parametrization, which serves as the theoretical baseline for the absence of nuclear modification effects. The data (black boxes) are compared with FONLL predictions using EPPS21 (red band) and nNNPDF3.0 (purple band) for nuclear PDFs. Only the uncertainties on the nuclear PDFs are shown.

png pdf
Figure 8:
Cross section of $ \rm D^{0} $ meson production in data (black boxes) compared with predictions based on the color glass condensate (CGC) formalism (red dotted line). The framework used for the predictions is presented in Ref. [22].
Tables

png pdf
Table 1:
Summary of directional terminology used in this note.
Summary
This note presents a measurement of the cross section for inclusive (prompt and nonprompt) photonuclear production of $ \rm D^{0} $ mesons as a function of rapidity $ y $ in the $ \rm D^{0} $ $ p_{\mathrm{T}} $ range of 2 $ < p_{\rm T} < $ 5 GeV in ultraperipheral heavy-ion collisions (UPCs). This is the first measurement focusing on the low $ p_{\mathrm{T}} $ region, so far unexplored by previous analyses. The presented $ \rm D^{0} $ meson yields are corrected for detector acceptance and efficiency. The measured cross sections are compared to predictions computed in perturbative quantum chromodynamics (pQCD) using the fixed-order-next-to-leading-logarithm (FONLL) formalism with different parametrizations of parton distribution functions (PDFs). A rapidity-dependent suppression is observed as compared to predictions using proton PDFs, which is consistent with a suppression of low-$ x $ gluons. When compared to predictions that rely on the EPPS21 and nNNPDF3.0 nuclear PDF sets, the measured cross sections are slightly lower than the predicted ones, but still compatible within the uncertainties. Additionally, the data is compared with predictions calculated in the color-glass condensate formalism, which overestimates the measured cross section at low-$ x $. The measured data can be used to constrain the description of cold nuclear matter structure on the low $ x $ and low $ Q^2 $ values in the clean environment provided by photonuclear collisions.
References
1 CMS Collaboration Constraining nuclear parton dynamics with the first measurement of D0 photoproduction in ultraperipheral heavy-ion collisions at the LHC CMS Physics Analysis Summary, 2024 CMS-PAS-HIN-24-003
2 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
3 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
4 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004
5 CMS Collaboration Development of the CMS detector for the CERN LHC Run 3 JINST 19 (2024) P05064 CMS-PRF-21-001
2309.05466
6 CMS Collaboration Performance of missing transverse momentum reconstruction in proton-proton collisions at $ \sqrt{s} = $ 13 TeV using the CMS detector JINST 14 (2019) P07004 CMS-JME-17-001
1903.06078
7 C. Bierlich et al. A comprehensive guide to the physics and usage of PYTHIA 8.3 SciPost Phys. Codeb. 2022 (2022) 8 2203.11601
8 F. Cornet, P. Jankowski, M. Krawczyk, and A. Lorca New 5-flavor LO analysis and parametrization of parton distributions in the real photon PRD 68 (2003) 014010
9 K. J. Eskola, P. Paakkinen, H. Paukkunen, and C. A. Salgado EPPS21: a global QCD analysis of nuclear PDFs EPJC 82 (2022) 413 2112.12462
10 GEANT4 Collaboration GEANT4 --- a simulation toolkit NIM A 506 (2003) 250
11 D. J. Lange The EVTGEN particle decay simulation package NIM A 462 (2001) 152
12 E. Barberio, B. van Eijk, and Z. Was PHOTOS: A universal Monte Carlo for QED radiative corrections in decays Comput. Phys. Commun. 66 (1991) 115
13 CMS Collaboration Nuclear modification factor of D$ ^0 $ mesons in PbPb collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 5.02 TeV PLB 782 (2018) 474 CMS-HIN-16-001
1708.04962
14 Particle Data Group Collaboration Review of particle physics PRD 110 (2024) 030001
15 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
16 CMS Collaboration Search for rare charm decays into two muons CMS Physics Analysis Summary, 2024
CMS-PAS-BPH-23-008
CMS-PAS-BPH-23-008
17 S. Frixione and P. Nason Phenomenological study of charm photoproduction at HERA JHEP 03 (2002) 053 hep-ph/0201281
18 A. Stasto and G. Innocenti Paper in preparation
19 K. J. Eskola et al. Spatial resolution of dijet photoproduction in near-encounter ultraperipheral nuclear collisions Phys. Rev. C 110 (2024) 054906 2404.09731
20 T.-J. Hou et al. New CTEQ global analysis of quantum chromodynamics with high-precision data from the LHC PRD 103 (2021) 014013 1912.10053
21 R. Abdul Khalek et al. nNNPDF3.0: evidence for a modified partonic structure in heavy nuclei EPJC 82 (2022) 507 2201.12363
22 P. Gimeno-Estivill, T. Lappi, and H. Mäntysaari Inclusive $ \mathrm{D}^0 $ photoproduction in ultraperipheral collisions 2503.16108
23 I. Balitsky Operator expansion for high-energy scattering NPB 463 (1996) 99 hep-ph/9509348
24 Y. V. Kovchegov Small x F(2) structure function of a nucleus including multiple pomeron exchanges PRD 60 (1999) 034008 hep-ph/9901281
Compact Muon Solenoid
LHC, CERN