Loading [MathJax]/jax/output/HTML-CSS/jax.js
CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-PAS-HIN-18-019
First measurement of the forward rapidity gap distribution in pPb collisions at sNN= 8.16 TeV
Abstract: We present, for the first time at LHC energies, the forward rapidity gap spectra from proton-lead collisions for both pomeron-lead and pomeron-proton topologies. The analysis is performed over 10.4 units of pseudorapidity at a center-of-mass energy of sNN= 8.16 TeV, i.e. almost 300 times higher than previous measurements of diffractive production in proton-nucleus collisions. For the pomeron-lead topology the EPOS-LHC predictions are a factor of two below the unfolded data but the model does give a reasonable description of the shape of the spectrum. For the pomeron-proton topology the EPOS-LHC, QGSJET II and HIJING generator predictions are all at least a factor of five below the data. This effect can be explained by a significant contribution of ultra-peripheral photoproduction events mimicking the signature of diffractive processes. The obtained data may be of significant help in understanding the high energy limit of QCD and modeling cosmic ray air showers.
Figures Summary References CMS Publications
Figures

png pdf
Figure 1:
Topologies of pPb events with large rapidity gaps for PPb (left) and Pp or γp (right). The blue and red cones indicate the products of diffractive dissociation for the lead ion and proton respectively. The regions free of final state particles are marked with green arrows. It is possible for γPb interactions to mimic the topology on the left but these are much suppressed compared to the γp case.

png pdf
Figure 1-a:
Topologies of pPb events with large rapidity gaps for PPb (left) and Pp or γp (right). The blue and red cones indicate the products of diffractive dissociation for the lead ion and proton respectively. The regions free of final state particles are marked with green arrows. It is possible for γPb interactions to mimic the topology on the left but these are much suppressed compared to the γp case.

png pdf
Figure 1-b:
Topologies of pPb events with large rapidity gaps for PPb (left) and Pp or γp (right). The blue and red cones indicate the products of diffractive dissociation for the lead ion and proton respectively. The regions free of final state particles are marked with green arrows. It is possible for γPb interactions to mimic the topology on the left but these are much suppressed compared to the γp case.

png pdf
Figure 1-c:
Topologies of pPb events with large rapidity gaps for PPb (left) and Pp or γp (right). The blue and red cones indicate the products of diffractive dissociation for the lead ion and proton respectively. The regions free of final state particles are marked with green arrows. It is possible for γPb interactions to mimic the topology on the left but these are much suppressed compared to the γp case.

png pdf
Figure 1-d:
Topologies of pPb events with large rapidity gaps for PPb (left) and Pp or γp (right). The blue and red cones indicate the products of diffractive dissociation for the lead ion and proton respectively. The regions free of final state particles are marked with green arrows. It is possible for γPb interactions to mimic the topology on the left but these are much suppressed compared to the γp case.

png pdf
Figure 2:
Reconstruction level dσ/dΔηF spectra for events with PPb (left) and Pp+γp (right) topologies where only information within |η|< 3 is used. Also shown are the predictions of EPOS-LHC (blue) and HIJING (green). For the PPb case (left) the ΔηF is measured from η= 3, while for the Pp+γp case (right) ΔηF is measured from η=3 for the pPb data sample. The statistical and systematic errors are added in quadrature. The Monte Carlo spectra are normalized to the total visible cross section of the data. The bottom panels show the ratio of Monte Carlo predictions to data.

png pdf
Figure 3:
The number of high purity tracks (left), their pT distributions (middle) and the total energy of all PF candidates (right) in the first η bin after a gap of ΔηF= 4.5 for events with the Pp+γp topology. Also shown are the corresponding distributions for the EPOS-LHC and HIJING generators.

png pdf
Figure 4:
Unfolded diffraction enhanced dσ/dΔηF spectra compared to hadron level predictions of the EPOS-LHC, HIJING and QGSJET-II generators. The data are corrected for the contribution from events with undetectable energy in the HF calorimeter adjacent to the rapidity gap. The corrections are obtained using the EPOS-LHC MC samples. For the pPb data sample, in the PPb case (left) the rapidity gap, ΔηF, is measured from η= 3 and no particles are present within 3 <η< 5.19, while for the Pp+γp case (right) the rapidity gap is measured from η=3 and no particles are present within 5.19 <η<3. The statistical and systematic uncertainties are added in quadrature. The gray band shows the resulting uncertainty excluding the error introduced with the correction for the undetectable energy in the HF calorimeter, while the yellow band accounts for all uncertainty sources. The bottom panels show the ratio of the three generators to data.

png pdf
Figure 5:
Reconstruction level dσ/dΔηF spectra obtained for the central acceptance, |η|< 3, for the PPb (left) and Pp+γp (right) topologies and compared to the corresponding EPOS-LHC predictions. The EPOS-LHC predictions are broken down into the non-diffractive (ND) in red, central diffractive (CD) in green, single diffractive (SD) in yellow and double diffractive (DD) in purple components, shown as stacked contributions.

png pdf
Figure 6:
Unfolded diffractive enhanced dσ/dΔηF spectra for the PPb (left) and Pp+γp (right) topologies compared to the EPOS-LHC predictions. The EPOS-LHC predictions are broken down into the non-diffractive (ND) in red, central diffractive (CD) in green, single diffractive (SD) in yellow and double diffractive (DD) in purple components, shown as stacked contributions.

png pdf
Figure 7:
Unfolded diffractive enhanced dσ/dΔηF spectra for the PPb (left) and Pp+γp (right) topologies compared to the QGSJET-II predictions. The QGSJET-II predictions are broken down into the non-diffractive (ND) in red, central diffractive (CD) in green, single diffractive (SD) in yellow and double diffractive (DD) in purple components, shown as stacked contributions.

png pdf
Figure 8:
Top: Reconstruction level diffraction enhanced dσ/dΔηF spectrum corrected for the contribution from events with undetectable energy in the HF calorimeter adjacent to the rapidity gap. The statistical and systematic uncertainties are added in quadrature. The gray band shows the resulting uncertainty excluding the error introduced with the correction for the undetectable energy in the HF calorimeter, while the yellow band accounts for all uncertainty sources. The distribution is shown together with the spectrum obtained with events satisfying the ZDC veto requirement EZDC< 1 TeV which selects only the events without lead nuclear break up. No correction for HF undetectable energy is applied to this distribution. The statistical and systematic uncertainties are added in quadrature. Bottom: A fraction of events selected with the ZDC veto requirement as a function of the rapidity gap size.
Summary
For the first time, forward rapidity gap spectra dσ/dΔηF from proton-lead collisions at the energy of sNN= 8.16 TeV have been measured for both pomeron-lead and pomeron-proton topologies. For the PPb topology, where the photon-exchange contribution is expected to be negligible, EPOS-LHC is about a factor of two and qgsjet ii a factor of 4 below the data. However for both of these generators the shape of the dσ/dΔηF spectrum is similar to that of the data. The spectrum from the HIJING generator falls rapidity at large ΔηF in contradiction to the data. For the P+γp topology all the generators are more than a factor of 5 below the data. This suggests a very strong contribution from γp interactions which are not yet present in these event generators. These data may be of significant help in understanding the high energy limit of QCD and modelling cosmic ray air showers.
References
1 V. N. Gribov Possible Asymptotic Behavior of Elastic Scattering JEPTL 41 (1961) 667
2 G. F. Chew and S. C. Frautschi Principle of Equivalence for All Strongly Interacting Particles Within the S Matrix Framework PRL 7 (1961) 394
3 F. E. Low A Model of the Bare Pomeron PRD 12 (1975) 163
4 S. Nussinov Colored Quark Version of Some Hadronic Puzzles PRL 34 (1975) 1286
5 V. S. Fadin, E. A. Kuraev, and L. N. Lipatov On the Pomeranchuk Singularity in Asymptotically Free Theories PLB 60 (1975) 50
6 ATLAS Collaboration Rapidity gap cross sections measured with the ATLAS detector in pp collisions at s= 7 TeV EPJC 72 (2012) 1926 1201.2808
7 CMS Collaboration Measurement of diffraction dissociation cross sections in pp collisions at s= 7 TeV PRD 92 (2015) 012003 CMS-FSQ-12-005
1503.08689
8 TOTEM Collaboration First measurement of the total proton-proton cross section at the LHC energy of s= 7 TeV EPL 96 (2011), no. 2, 21002 1110.1395
9 TOTEM Collaboration Measurement of proton-proton elastic scattering and total cross-section at S**(1/2) = 7-TeV EPL 101 (2013) 21002
10 TOTEM Collaboration First measurement of elastic, inelastic and total cross-section at s= 13 TeV by TOTEM and overview of cross-section data at LHC energies EPJC 79 (2019) 103 1712.06153
11 A. B. Kaidalov Diffractive Production Mechanisms PR 50 (1979) 157
12 A. Donnachie and P. V. Landshoff Elastic Scattering and Diffraction Dissociation NPB 244 (1984) 322
13 LHC Forward Physics Working Group Collaboration LHC Forward Physics JPG 43 (2016) 110201 1611.05079
14 V. N. Gribov Glauber corrections and the interaction between high-energy hadrons and nuclei Sov. Phys. JETP 29 (1969) 483
15 B. Z. Kopeliovich, L. I. Lapidus, and A. B. Zamolodchikov Dynamics of Color in Hadron Diffraction on Nuclei JEPTL 33 (1981) 595.[Pisma Zh. Eksp. Teor. Fiz.33,612(1981)]
16 HELIOS Collaboration Diffraction dissociation of nuclei in 450-GeV/c proton - nucleus collisions Z. Phys. C 49 (1991) 355
17 EHS/NA22 Collaboration Reactions with leading hadrons in meson - proton interactions at 250-GeV/c Z. Phys. C 75 (1997) 229
18 A. B. Kaidalov, V. A. Khoze, A. D. Martin, and M. G. Ryskin Diffraction of protons and nuclei at high-energies Acta Phys. Polon. B 34 (2003) 3163 hep-ph/0303111
19 B. Z. Kopeliovich, I. K. Potashnikova, and I. Schmidt Large rapidity gap processes in proton-nucleus collisions PRC 73 (Mar, 2006) 034901 hep-ph/0508277
20 L. Frankfurt and M. Strikman Novel QCD phenomena in pA collisions at LHC in 2nd Workshop on Hard Probes in Heavy Ion Collisions at the LHC: 2nd Plenary Meeting, Geneva 2002 hep-ph/0210088
21 V. Guzey and M. Strikman Proton-nucleus scattering and cross section fluctuations at RHIC and LHC PLB 633 (2006) 245 hep-ph/0505088
22 R. Luna, A. Zepeda, C. A. Garcia Canal, and S. J. Sciutto Influence of diffractive interactions on cosmic ray air showers PRD 70 (2004) 114034 hep-ph/0408303
23 X.-N. Wang and M. Gyulassy HIJING: A Monte Carlo model for multiple jet production in pp, pA and AA collisions PRD 44 (1991) 3501
24 T. Pierog et al. EPOS LHC: Test of collective hadronization with data measured at the CERN Large Hadron Collider PRC 92 (2015) 034906 1306.0121
25 S. Ostapchenko Monte Carlo treatment of hadronic interactions in enhanced Pomeron scheme: I. QGSJET-II model PRD 83 (2011) 014018 1010.1869
26 H. J. Drescher et al. Parton based Gribov-Regge theory PR 350 (2001) 93 hep-ph/0007198
27 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004 CMS-00-001
28 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
29 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
30 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
31 A. J. Baltz The Physics of Ultraperipheral Collisions at the LHC PR 458 (2008) 1 0706.3356
32 CMS Collaboration Coherent J/ψ photoproduction in ultra-peripheral PbPb collisions at sNN= 2.76 TeV with the CMS experiment PLB 772 (2017) 489 CMS-HIN-12-009
1605.06966
33 CMS Collaboration Measurement of exclusive ρ(770)0 photoproduction in ultraperipheral pPb collisions at sNN= 5.02 TeV EPJC 79 (2019) 702 CMS-FSQ-16-007
1902.01339
34 CMS Collaboration Measurement of exclusive Υ photoproduction from protons in pPb collisions at sNN= 5.02 TeV EPJC 79 (2019) 277 CMS-FSQ-13-009
1809.11080
35 CMS Collaboration Evidence for light-by-light scattering and searches for axion-like particles in ultraperipheral PbPb collisions at sNN= 5.02 TeV PLB 797 (2019) 134826 CMS-FSQ-16-012
1810.04602
36 CMS Collaboration Charged-particle nuclear modification factors in PbPb and pPb collisions at sNN= 5.02 TeV JHEP 04 (2017) 039 CMS-HIN-15-015
1611.01664
37 CMS Collaboration Calibration of the CMS hadron calorimeters using proton-proton collision data at s= 13 TeV JINST 15 (2020) P05002 CMS-PRF-18-001
1910.00079
38 G. D'Agostini A Multidimensional unfolding method based on Bayes' theorem NIMA 362 (1995) 487
39 T. Adye Unfolding algorithms and tests using RooUnfold in Proceedings, PHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding, CERN,Geneva 2011 1105.1160
40 S. Schmitt Data unfolding methods in high energy physics in EPJ Web Conf. XIIth Quark Confinement and the Hadron Spectrum, volume 137 1611.01927
41 O. Sur\'anyi Performance of the CMS Zero Degree Calorimeters in the 2016 pPb run J. Phys. Conf. Ser. 1162 (2019) 012005
Compact Muon Solenoid
LHC, CERN