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arxiv: 2606.26832 · v1 · pith:AQCPECNNnew · submitted 2026-06-25 · ✦ hep-ex · physics.ins-det

Precision luminosity measurement in proton-proton collisions at a center-of-mass energy of 13 TeV with the CMS detector at the Large Hadron Collider

Pith reviewed 2026-06-26 01:58 UTC · model grok-4.3

classification ✦ hep-ex physics.ins-det
keywords integrated luminosityluminosity measurementCMS detectorLHC13 TeVproton-proton collisionsprecision measurementZ boson validation
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The pith

CMS measures integrated luminosity to 0.73% precision for the full 13 TeV proton data set

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper establishes a new benchmark for integrated luminosity determination in proton-proton collisions at 13 TeV. Multiple independent monitors are calibrated through beam-separation scans and their long-term stability is verified using Z boson production rates as a reference process. The resulting combined uncertainty reaches 0.73% across the entire collected data set. A sympathetic reader would see this as tightening the link between delivered collisions and observed events, which directly improves the accuracy of any cross-section or rate comparison with theory.

Core claim

Calibration of several luminosity monitors via beam-separation techniques, followed by validation of their stability against Z boson rates, produces a total integrated luminosity uncertainty of 0.73% for the complete 13 TeV data set, representing the most precise such measurement at a bunched-beam hadron collider.

What carries the argument

Multiple independent luminosity monitors whose calibrations are obtained from beam-separation scans and whose stability is cross-checked with Z boson production rates.

If this is right

  • Cross-section measurements for standard model processes carry a smaller systematic uncertainty from luminosity.
  • Searches for new physics gain sensitivity because the expected event rates are known more precisely.
  • The full 13 TeV data set can be reanalyzed with reduced luminosity-related errors.
  • A documented sub-percent precision baseline now exists for planning luminosity measurements in the high-luminosity LHC phase.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same combination of beam-separation calibration and Z validation could be tested at other hadron colliders to reach comparable relative precision.
  • Future detector upgrades might target still lower uncertainties by refining the same reference processes rather than introducing entirely new monitors.
  • Analyses that combine multiple data-taking years will now be limited by other systematics sooner than by luminosity.

Load-bearing premise

Z boson production rates act as an independent, luminosity-independent reference that can confirm the monitors remain stable over time.

What would settle it

A statistically significant mismatch between the luminosity values reported by the monitors and the luminosity inferred directly from the observed Z boson event yield would show the claimed 0.73% precision cannot be maintained.

Figures

Figures reproduced from arXiv: 2606.26832 by CMS Collaboration.

Figure 1
Figure 1. Figure 1: An illustration of the vdM fit procedure for the HFET method in the 2017 vdM fill [PITH_FULL_IMAGE:figures/full_fig_p006_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Beam positions in x and y for both LHC beams as functions of time during LHC fills 6016 (upper) and 6868 (lower), as measured with the DOROS BPMs with 1 s time granularity. Time is indicated relative to the first included data point. The beginning and end of individual scans are indicated by vertical lines. Each vdM-like scan pair consists of a scan along the x axis and one along the y axis, and is labeled… view at source ↗
Figure 3
Figure 3. Figure 3: Beam-beam deflection (left) and dynamic- [PITH_FULL_IMAGE:figures/full_fig_p010_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Difference between nominal and measured beam separation per scan step as a func [PITH_FULL_IMAGE:figures/full_fig_p012_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Visible cross section estimates for the HFET luminometer with all corrections applied [PITH_FULL_IMAGE:figures/full_fig_p014_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Residual orbit drift corrections to the single-beam positions as a function of the scan [PITH_FULL_IMAGE:figures/full_fig_p015_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Length scale factors αTR/NOM obtained with the direct (blue squares and upward tri￾angles) and two-step (orange points and downward triangles) approaches for 2017 (left) and 2018 (right). Results are shown separately for cLS and vLS scans, using either the DOROS (filled triangles) or arc (empty triangles) BPMs, as well as their combination (squares and circles). For the direct approach, the error bars repr… view at source ↗
Figure 8
Figure 8. Figure 8: Nonfactorization estimates for 2017 (left) and 2018 (right) using the luminous region [PITH_FULL_IMAGE:figures/full_fig_p019_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Per BCID σvis values in the first scan in 2017 (left) and 2018 (right) as measured for the PLT luminometer. The error bars represent the uncertainty propagated from the fit. scale. The standard deviation of the scans averaged over the four detectors (0.26% in 2017 and 0.27% in 2018) is taken to be the scan-to-scan reproducibility uncertainty [PITH_FULL_IMAGE:figures/full_fig_p021_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: The relative deviation of the BCID-averaged [PITH_FULL_IMAGE:figures/full_fig_p022_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Relative differences of the luminosity measured by the HFET, HFOC, PLT, and PCC [PITH_FULL_IMAGE:figures/full_fig_p022_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: The decrease in efficiency as a consequence of HFET aging in 2018 as measured [PITH_FULL_IMAGE:figures/full_fig_p025_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: The number of clusters in the pixel tracker per event is shown as a function of the [PITH_FULL_IMAGE:figures/full_fig_p026_13.png] view at source ↗
Figure 14
Figure 14. Figure 14: The luminosity-weighted average of the measured residual nonlinearity between the [PITH_FULL_IMAGE:figures/full_fig_p027_14.png] view at source ↗
Figure 15
Figure 15. Figure 15: The ratio of the luminosity measured by HFET, HFOC, PLT, and PCC to their mean [PITH_FULL_IMAGE:figures/full_fig_p028_15.png] view at source ↗
Figure 16
Figure 16. Figure 16: The luminosity as determined by Z boson production rates divided by the reference [PITH_FULL_IMAGE:figures/full_fig_p030_16.png] view at source ↗
Figure 17
Figure 17. Figure 17: The relative uncertainty and the shifts of the luminosity values before and after the [PITH_FULL_IMAGE:figures/full_fig_p031_17.png] view at source ↗
Figure 18
Figure 18. Figure 18: The post-fit ratio of the luminosity based on measured Z boson production rates [PITH_FULL_IMAGE:figures/full_fig_p032_18.png] view at source ↗
read the original abstract

Discovering new fundamental physics requires spotting subtle deviations between theoretical predictions and experimental data. This delicate comparison hinges on the precise knowledge of the integrated luminosity, the measure of how many particle interactions were actually delivered by the collider. Here, we report a landmark measurement of the integrated luminosity by the Compact Muon Solenoid (CMS) experiment for proton-proton collisions at a center-of-mass energy of 13 TeV at the CERN Large Hadron Collider (LHC). By calibrating multiple independent monitors through specialized beam-separation techniques and rigorously validating their long-term stability against well-understood Z boson production rates, we comprehensively map and minimize systematic uncertainties. Combining the findings yields a total integrated luminosity precision of 0.73% for the entire data set. This marks the most precise luminosity measurement ever achieved at a bunched-beam hadron collider. Crossing the sub-percent precision threshold per data taking year fundamentally sharpens our ability to test the standard model and establishes a vital baseline for the upcoming High-Luminosity LHC era.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 0 minor

Summary. The manuscript reports a precision determination of the integrated luminosity for CMS proton-proton collisions at 13 TeV, obtained by calibrating multiple luminosity monitors via beam-separation (van der Meer) scans and validating their long-term stability using Z boson production rates. The combined result is quoted as 0.73% total uncertainty for the full dataset, presented as the most precise such measurement at a bunched-beam hadron collider.

Significance. If the quoted uncertainty is shown to be free of circular dependence, the result would be a benchmark for precision LHC physics, sharpening Standard Model tests and providing a reference for HL-LHC luminosity calibration. The multi-monitor calibration strategy and systematic mapping are positive features when independence of the validation sample is demonstrated.

major comments (1)
  1. [Abstract] Abstract: the 0.73% precision claim rests on Z-boson-rate validation of long-term stability after van-der-Meer calibration. The text states only that the rates are 'well-understood' and supplies no explicit statement that the reference Z sample (acceptance-corrected rate or cross section) is normalized with a luminosity source independent of the monitors under test. This independence is load-bearing for whether the stability check can bound the dominant systematic; without it the combined uncertainty may be underestimated.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the careful reading of the manuscript and for highlighting the need for explicit clarification on the independence of the Z-boson validation sample. We address the single major comment below.

read point-by-point responses
  1. Referee: [Abstract] Abstract: the 0.73% precision claim rests on Z-boson-rate validation of long-term stability after van-der-Meer calibration. The text states only that the rates are 'well-understood' and supplies no explicit statement that the reference Z sample (acceptance-corrected rate or cross section) is normalized with a luminosity source independent of the monitors under test. This independence is load-bearing for whether the stability check can bound the dominant systematic; without it the combined uncertainty may be underestimated.

    Authors: We agree that the abstract does not contain an explicit statement regarding the independence of the Z-sample normalization. The full manuscript describes the Z rates as well-understood from a combination of theoretical predictions and prior measurements performed with luminosity determinations independent of the 13 TeV monitors under test. However, because this independence is not stated in the abstract, we will revise the abstract to include a concise clause making the independence explicit. This change will directly address the concern that the stability validation could otherwise appear circular. revision: yes

Circularity Check

0 steps flagged

No circularity in derivation chain

full rationale

The provided abstract describes absolute calibration of luminosity monitors via beam-separation scans followed by stability validation against independently well-understood Z boson production rates. No equations, fitted parameters, or self-citations are exhibited that reduce the final 0.73% precision result to the inputs by construction. The Z reference is presented as external and theory-driven, rendering the chain self-contained against external benchmarks with no load-bearing reduction to self-defined quantities.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

Only the abstract is available, so the ledger is restricted to assumptions explicitly named in the text. No free parameters, invented entities, or additional axioms are stated.

axioms (2)
  • domain assumption Z boson production rates are well-understood and independent of the luminosity measurement being validated
    Abstract states validation against 'well-understood Z boson production rates'
  • domain assumption Beam-separation techniques yield accurate absolute calibration of the monitors
    Abstract describes calibration through specialized beam-separation techniques

pith-pipeline@v0.9.1-grok · 5713 in / 1219 out tokens · 26814 ms · 2026-06-26T01:58:25.282650+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

62 extracted references · 36 canonical work pages · 8 internal anchors

  1. [1]

    Motivations and precision targets for an accurate luminosity determination at the LHC

    M. L. Mangano, “Motivations and precision targets for an accurate luminosity determination at the LHC”, inProc. LHC Lumi Days: Geneva, Switzerland, January 13–14, 2011, p. 1. 2021. [CERN-Proceedings-2011-001]

  2. [2]

    Stairway to discovery: a report on the CMS program of cross section measurements from millibarns to femtobarns

    CMS Collaboration, “Stairway to discovery: a report on the CMS program of cross section measurements from millibarns to femtobarns”,Phys. Rep.1115(2024) 3, doi:10.1016/j.physrep.2024.11.005,arXiv:2405.18661

  3. [3]

    Measurement of the $\mathrm{t}\overline{\mathrm{t}}$ production cross section, the top quark mass, and the strong coupling constant using dilepton events in pp collisions at $\sqrt{s} =$ 13 TeV

    CMS Collaboration, “Measurement of the t t production cross section, the top quark mass, and the strong coupling constant using dilepton events in pp collisions at√s=13 TeV”,Eur. Phys. J. C79(2019) 368, doi:10.1140/epjc/s10052-019-6863-8,arXiv:1812.10505

  4. [4]

    Measurements of differential Z boson production cross sections in proton-proton collisions at √s=13 TeV

    CMS Collaboration, “Measurements of differential Z boson production cross sections in proton-proton collisions at √s=13 TeV”,JHEP12(2019) 061, doi:10.1007/JHEP12(2019)061,arXiv:1909.04133

  5. [5]

    Measurements of the W boson rapidity, helicity, double-differential cross sections, and charge asymmetry in pp collisions at 13 TeV

    CMS Collaboration, “Measurements of the W boson rapidity, helicity, double-differential cross sections, and charge asymmetry in pp collisions at 13 TeV”,Phys. Rev. D102(2020) 092012,doi:10.1103/PhysRevD.102.092012,arXiv:2008.04174

  6. [6]

    First measurement of the top quark pair production cross section in proton-proton collisions at √s=13.6 TeV

    CMS Collaboration, “First measurement of the top quark pair production cross section in proton-proton collisions at √s=13.6 TeV”,JHEP08(2023) 204, doi:10.1007/JHEP08(2023)204,arXiv:2303.10680

  7. [7]

    Measurement of the inclusive cross sections for W and Z boson production in proton-proton collisions at √s=5.02 and 13 TeV

    CMS Collaboration, “Measurement of the inclusive cross sections for W and Z boson production in proton-proton collisions at √s=5.02 and 13 TeV”,JHEP04(2025) 162, doi:10.1007/JHEP04(2025)162,arXiv:2408.03744

  8. [8]

    CMS Physics: Technical design report volume 1: Detector performance and software

    CMS Collaboration, “CMS Physics: Technical design report volume 1: Detector performance and software”, Technical Report CERN/LHCC-2006-001, CMS-TDR-08-1, 2006

  9. [9]

    Report on the Physics at the HL-LHC and Perspectives for the HE-LHC

    ATLAS and CMS Collaborations, “Report on the physics at the HL-LHC and perspectives for the HE-LHC”, Technical Report CERN-LPCC-2019-01, 2019. doi:10.23731/CYRM-2019-007[.Addendum],arXiv:1902.10229

  10. [10]

    The Phase-2 upgrade of the CMS beam radiation, instrumentation, and luminosity detectors

    CMS Collaboration, “The Phase-2 upgrade of the CMS beam radiation, instrumentation, and luminosity detectors”, CMS Technical Proposal CERN-LHCC-2021-008, CMS-TDR-023, 2021

  11. [11]

    The Phase-2 upgrade of the CMS beam radiation, instrumentation, and luminosity detectors: conceptual design

    CMS Collaboration, “The Phase-2 upgrade of the CMS beam radiation, instrumentation, and luminosity detectors: conceptual design”, CMS Technical Proposal CMS-TDR-19-003, 2019

  12. [12]

    Precision luminosity measurements at LHCb

    LHCb Collaboration, “Precision luminosity measurements at LHCb”,JINST9(2014) P12005,doi:10.1088/1748-0221/9/12/P12005,arXiv:1410.0149

  13. [13]

    Precision luminosity measurement in proton-proton collisions at√s=13 TeV in 2015 and 2016 at CMS

    CMS Collaboration, “Precision luminosity measurement in proton-proton collisions at√s=13 TeV in 2015 and 2016 at CMS”,Eur. Phys. J. C81(2021) 800, doi:10.1140/epjc/s10052-021-09538-2,arXiv:2104.01927. References 35

  14. [14]

    ALICE luminosity determination for PbPb collisions at√sNN =5.02 TeV

    ALICE Collaboration, “ALICE luminosity determination for PbPb collisions at√sNN =5.02 TeV”,JINST19(2024) P02039, doi:10.1088/1748-0221/19/02/P02039,arXiv:2204.10148

  15. [15]

    Luminosity determination in $pp$ collisions at $\sqrt{s}=13$ TeV using the ATLAS detector at the LHC

    ATLAS Collaboration, “Luminosity determination in pp collisions at √s=13 TeV using the ATLAS detector at the LHC”,Eur. Phys. J. C83(2023) 982, doi:10.1140/epjc/s10052-023-11747-w,arXiv:2212.09379

  16. [16]

    Luminosity determination at proton colliders

    P . Grafstr¨om and W. Kozanecki, “Luminosity determination at proton colliders”,Prog. Part. Nucl. Phys.81(2015) 97,doi:10.1016/j.ppnp.2014.11.002

  17. [17]

    Calibration of the effective beam height in the ISR

    S. van der Meer, “Calibration of the effective beam height in the ISR”, ISR Report CERN-ISR-PO-68-31, 1968

  18. [18]

    Instrumentation for beam radiation and luminosity measurement in the CMS experiment using novel detector technologies

    CMS Collaboration, “Instrumentation for beam radiation and luminosity measurement in the CMS experiment using novel detector technologies”,Nucl. Instrum. Meth. A845 (2017) 565,doi:10.1016/j.nima.2016.06.028

  19. [19]

    Development of the CMS detector for the CERN LHC Run 3

    CMS Collaboration, “Development of the CMS detector for the CERN LHC Run 3”, JINST19(2024) P05064,doi:10.1088/1748-0221/19/05/P05064, arXiv:2309.05466

  20. [20]

    Data-Driven Precision Luminosity Measurements with Z Bosons at the LHC and HL-LHC

    J. Salfeld-Nebgen and D. Marlow, “Data-driven precision luminosity measurements with Z bosons at the LHC and HL-LHC”,JINST13(2018) P12016, doi:10.1088/1748-0221/13/12/P12016,arXiv:1806.02184

  21. [21]

    Luminosity determination using Z boson production at the CMS experiment

    CMS Collaboration, “Luminosity determination using Z boson production at the CMS experiment”,Eur. Phys. J. C84(2024) 26, doi:10.1140/epjc/s10052-023-12268-2,arXiv:2309.01008

  22. [22]

    Luminosity measurement for lead-lead collisions at√sNN =5.02 TeV in 2015 and 2018 at CMS

    CMS Collaboration, “Luminosity measurement for lead-lead collisions at√sNN =5.02 TeV in 2015 and 2018 at CMS”, 2025.arXiv:2503.03946. Submitted to Eur. Phys. J. C

  23. [23]

    CMS luminosity measurement for the 2017 data-taking period at√s=13 TeV

    CMS Collaboration, “CMS luminosity measurement for the 2017 data-taking period at√s=13 TeV”, CMS Physics Analysis Summary CMS-PAS-LUM-17-004, 2018

  24. [24]

    CMS luminosity measurement for the 2018 data-taking period at√s=13 TeV

    CMS Collaboration, “CMS luminosity measurement for the 2018 data-taking period at√s=13 TeV”, CMS Physics Analysis Summary CMS-PAS-LUM-18-002, 2019

  25. [25]

    The CMS experiment at the CERN LHC

    CMS Collaboration, “The CMS experiment at the CERN LHC”,JINST3(2008) S08004, doi:10.1088/1748-0221/3/08/S08004

  26. [26]

    Performance of the CMS Level-1 trigger in proton-proton collisions at √s=13 TeV

    CMS Collaboration, “Performance of the CMS Level-1 trigger in proton-proton collisions at √s=13 TeV”,JINST15(2020) P10017,doi:10.1088/1748-0221/15/10/P10017, arXiv:2006.10165

  27. [27]

    The CMS trigger system

    CMS Collaboration, “The CMS trigger system”,JINST12(2017) P01020, doi:10.1088/1748-0221/12/01/P01020,arXiv:1609.02366

  28. [28]

    Performance of the CMS high-level trigger during LHC Run 2

    CMS Collaboration, “Performance of the CMS high-level trigger during LHC Run 2”, JINST19(2024) P11021,doi:10.1088/1748-0221/19/11/P11021, arXiv:2410.17038. 36

  29. [29]

    Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC

    CMS Collaboration, “Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC”,JINST16(2021) P05014, doi:10.1088/1748-0221/16/05/P05014,arXiv:2012.06888

  30. [30]

    Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at $\sqrt{s}=$ 13 TeV

    CMS Collaboration, “Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √s=13 TeV”,JINST13(2018) P06015, doi:10.1088/1748-0221/13/06/P06015,arXiv:1804.04528

  31. [31]

    Description and performance of track and primary-vertex reconstruction with the CMS tracker

    CMS Collaboration, “Description and performance of track and primary-vertex reconstruction with the CMS tracker”,JINST9(2014) P10009, doi:10.1088/1748-0221/9/10/P10009,arXiv:1405.6569

  32. [32]

    Design, performance, and calibration of CMS forward calorimeter wedges

    CMS HCAL Collaboration, “Design, performance, and calibration of CMS forward calorimeter wedges”,Eur. Phys. J. C53(2008) 139, doi:10.1140/epjc/s10052-007-0459-4

  33. [33]

    CMS technical design report for the Level-1 trigger upgrade

    CMS Collaboration, “CMS technical design report for the Level-1 trigger upgrade”, CMS Technical Proposal CERN-LHCC-2013-011, CMS-TDR-012, 2013

  34. [34]

    The pixel luminosity telescope: a detector for luminosity measurement at CMS using silicon pixel sensors

    CMS BRIL Collaboration, “The pixel luminosity telescope: a detector for luminosity measurement at CMS using silicon pixel sensors”,Eur. Phys. J. C83(2023) 673, doi:10.1140/epjc/s10052-023-11713-6,arXiv:2206.08870

  35. [35]

    The new fast beam condition monitor using poly-crystalline diamond sensors for luminosity measurement at CMS

    CMS Collaboration, “The new fast beam condition monitor using poly-crystalline diamond sensors for luminosity measurement at CMS”,Nucl. Instrum. Meth. A936 (2019) 717,doi:10.1016/j.nima.2018.11.071

  36. [36]

    RAMSES: the LHC radiation monitoring system for the environment and safety

    G. Segura Millan, D. Perrin, and L. Scibile, “RAMSES: the LHC radiation monitoring system for the environment and safety”, inProc. 10th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS 2005): Geneva, Switzerland. 2005. [Conf. Proc. C 051010 (2005) TH3B.1-3O]

  37. [37]

    CERN supervision, control and data acquisition system for radiation and environmental protection

    A. Ledeul et al., “CERN supervision, control and data acquisition system for radiation and environmental protection”, inProc. 12th Workshop on Emerging Technologies and Scientific Facilities Controls (PCaP AC2018): Hsinchu, Taiwan. 2018. [JACoW (PCaPAC2018) 248].doi:10.18429/JACoW-PCaPAC2018-FRCC3

  38. [38]

    First operational experience with the LHC diode orbit and oscillation (DOROS) system

    M. Ga ¸sior, G. Baud, J. Olexa, and G. Valentino, “First operational experience with the LHC diode orbit and oscillation (DOROS) system”, inProc. 5th International Beam Instrumentation Conference (IBIC 2016): Barcelona, Spain. 2016. [JACoW (IBIC2016) 43]. doi:10.18429/JACoW-IBIC2016-MOPG07

  39. [39]

    BPM electronics based on compensated diode detectors—results from development systems

    M. Ga ¸sior, J. Olexa, and R. Steinhagen, “BPM electronics based on compensated diode detectors—results from development systems”, inProc. 15th Beam Instrumentation Workshop (BIW12): Newport News, USA. 2012. [Conf. Proc. C 1204151 (2012) 4]

  40. [40]

    Design and optimization of the beam orbit and oscillation measurement system for the Large Hadron Collider

    J. Olexa, “Design and optimization of the beam orbit and oscillation measurement system for the Large Hadron Collider”. PhD thesis, Slovensk ´a technick´a univerzita v Bratislave,

  41. [41]

    CERN-THESIS-2018-185

  42. [42]

    Observation of beam-beam deflections with LHC orbit data

    W. Kozanecki, T. Pieloni, and J. Wenninger, “Observation of beam-beam deflections with LHC orbit data”, CERN Report CERN-ACC-NOTE-2013-0006, 2013

  43. [43]

    The LHC fast BCT system: A comparison of design parameters with initial performance

    D. Belohrad et al., “The LHC fast BCT system: A comparison of design parameters with initial performance”, CERN Report CERN-BE-2010-010, 2010. References 37

  44. [44]

    Upgrade of the LHC bunch by bunch intensity measurement acquisition system

    D. Belohrad, D. Esperante Pereira, J. Kral, and S. Pedersen, “Upgrade of the LHC bunch by bunch intensity measurement acquisition system”, inProc. 5th International Beam Instrumentation Conference (IBIC 2016): Barcelona, Spain. 2016. [JACoW (IBIC2016) 135]. doi:10.18429/JACoW-IBIC2016-MOPG39

  45. [45]

    The wall current transformer—a new sensor for precise bunch-by-bunch intensity measurements in the LHC

    M. Krupa and M. Ga ¸sior, “The wall current transformer—a new sensor for precise bunch-by-bunch intensity measurements in the LHC”, inProc. 5th International Beam Instrumentation Conference (IBIC 2016): Barcelona, Spain, September 11–15, 2016. 2017. [JACoW (IBIC2016) 568].doi:10.18429/JACoW-IBIC2016-WEAL02

  46. [46]

    Results of the LHC DCCT calibration studies

    C. Barschel et al., “Results of the LHC DCCT calibration studies”, CERN Report CERN-ATS-Note-2012-026 PERF, 2012

  47. [47]

    Longitudinal density monitor for the LHC

    A. Jeff et al., “Longitudinal density monitor for the LHC”,Phys. Rev. ST Accel. Beams15 (2012) 032803,doi:10.1103/PhysRevSTAB.15.032803

  48. [48]

    A longitudinal density monitor for the LHC

    A. Jeff, “A longitudinal density monitor for the LHC”. PhD thesis, University of Liverpool, 2012. CERN-THESIS-2012-240

  49. [49]

    Precision luminosity measurement at LHCb with beam-gas imaging

    C. Barschel, “Precision luminosity measurement at LHCb with beam-gas imaging”. PhD thesis, RWTH Aachen University, 2014. CERN-THESIS-2013-301

  50. [50]

    Beam-gas imaging measurements at LHCb

    G. Coombs, M. Ferro-Luzzi, and R. Matev, “Beam-gas imaging measurements at LHCb”, inProc. 7th International Beam Instrumentation Conference (IBIC 2018): Shanghai, China

  51. [51]

    [JACoW (IBIC2018) 459].doi:10.18429/JACoW-IBIC2018-WEPB13

  52. [52]

    Impact of beam-beam effects on absolute luminosity calibrations at the CERN Large Hadron Collider

    A. Babaev et al., “Impact of beam-beam effects on absolute luminosity calibrations at the CERN Large Hadron Collider”,Eur. Phys. J. C84(2024) 17, doi:10.1140/epjc/s10052-023-12192-5,arXiv:2306.10394

  53. [53]

    Closed expression for the electrical field of a two-dimensional Gaussian charge

    M. Bassetti and G. A. Erskine, “Closed expression for the electrical field of a two-dimensional Gaussian charge”, ISR Report CERN-ISR-TH-80-06, 1980

  54. [54]

    Coherent deflection of elliptic bunches colliding at crossing angle

    A. Babaev, “Coherent deflection of elliptic bunches colliding at crossing angle”, 2021. arXiv:2104.02595

  55. [55]

    Operation and configuration of the LHC in Run 2

    J. Wenninger, “Operation and configuration of the LHC in Run 2”, CERN Report CERN-ACC-NOTE-2019-0007, 2019

  56. [56]

    Van der Meer scan luminosity measurement and beam-beam correction

    V . Balagura, “Van der Meer scan luminosity measurement and beam-beam correction”, Eur. Phys. J. C81(2021) 26,doi:10.1140/epjc/s10052-021-08837-y, arXiv:2012.07752

  57. [57]

    Parallel high-performance multi-beam multi-bunch simulations

    S. V . Furuseth and X. Buffat, “Parallel high-performance multi-beam multi-bunch simulations”,Comput. Phys. Commun.244(2019) 180, doi:10.1016/j.cpc.2019.06.006

  58. [58]

    Magnetic measurements of MCBC and MCBY orbit correctors under special cycling conditions

    A. Chmieli ´nska, L. Fiscarelli, W. Kozanecki, and E. Todesco, “Magnetic measurements of MCBC and MCBY orbit correctors under special cycling conditions”, CERN Report CERN-ACC-NOTE-2022-0013, 2022

  59. [59]

    Production of single Gaussian bunches for Van der Meer scans in the LHC injector chain

    H. Bartosik and G. Rumolo, “Production of single Gaussian bunches for Van der Meer scans in the LHC injector chain”, CERN Report CERN-ACC-NOTE-2013-0008, 2013. 38

  60. [60]

    Factorisation of beams in van der Meer scans and measurements of theϕ ∗ η distribution of Z→e +e− events in pp collisions at √s=8 TeV with the ATLAS detector

    S. N. Webb, “Factorisation of beams in van der Meer scans and measurements of theϕ ∗ η distribution of Z→e +e− events in pp collisions at √s=8 TeV with the ATLAS detector”. PhD thesis, University of Manchester, 2015. CERN-THESIS-2015-054

  61. [61]

    Probing New Physics: Search for supersymmetry with Higgs particles and high-precision luminosity determination at the CMS experiment

    P . Major, “Probing New Physics: Search for supersymmetry with Higgs particles and high-precision luminosity determination at the CMS experiment”. PhD thesis, ELTE E¨otv¨os Lor´and University, 2024. CMS TS-2026/002

  62. [62]

    Fiducialq t resummation of color-singlet processes at N3LL+NNLO

    T. Becher and T. Neumann, “Fiducialq t resummation of color-singlet processes at N3LL+NNLO”,JHEP03(2021) 199,doi:10.1007/JHEP03(2021)199, arXiv:2009.11437. 39 A The CMS Collaboration Yerevan Physics Institute, Yerevan, Armenia A. Gevorgyan , A. Hayrapetyan, V . Makarenko , A. Tumasyan1 Marietta Blau Institute for Particle Physics, Vienna, Austria W. Adam ...