Recognition: 2 theorem links
Particle-flow reconstruction and global event description with the CMS detector
Pith reviewed 2026-05-09 17:31 UTC · model grok-4.3
The pith
The particle-flow algorithm reconstructs every final-state particle in CMS collisions to deliver superior jet, tau, and missing-momentum measurements.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The comprehensive list of final-state particles identified and reconstructed by the particle-flow algorithm provides a global event description that leads to unprecedented CMS performance for jet and hadronic tau decay reconstruction, missing transverse momentum determination, and electron and muon identification, while enabling efficient pileup mitigation.
What carries the argument
The particle-flow reconstruction algorithm, which links tracker tracks to calorimeter energy deposits and muon signals to classify and measure all particles in each event.
If this is right
- Jet energy and direction measurements achieve higher precision and resolution than calorimeter-only methods.
- Hadronic tau decay identification and efficiency improve for analyses involving tau leptons.
- Missing transverse momentum estimates become more accurate by accounting for all visible particles.
- Electrons and muons receive additional identification power from combined tracking and calorimeter information.
- Particles from pileup can be identified and removed, reducing their impact on physics observables.
Where Pith is reading between the lines
- The same particle list could streamline simultaneous use of multiple object types in a single physics analysis.
- Performance validated up to 20 pileup interactions suggests the approach scales to the higher densities expected in future LHC runs.
- The method's reliance on detector segmentation implies similar gains may appear in other experiments with comparable tracking and calorimetry.
Load-bearing premise
The Monte Carlo simulation used to tune and validate the algorithm accurately reproduces the detector response, particle interactions, and pileup conditions in the real 8 TeV data.
What would settle it
A significant mismatch between data and simulation in metrics such as jet energy resolution, hadronic tau identification efficiency, or missing transverse momentum resolution after particle-flow reconstruction would indicate the claim does not hold.
read the original abstract
The CMS apparatus was identified, a few years before the start of the LHC operation at CERN, to feature properties well suited to particle-flow (PF) reconstruction: a highly-segmented tracker, a fine-grained electromagnetic calorimeter, a hermetic hadron calorimeter, a strong magnetic field, and an excellent muon spectrometer. A fully-fledged PF reconstruction algorithm tuned to the CMS detector was therefore developed and has been consistently used in physics analyses for the first time at a hadron collider. For each collision, the comprehensive list of final-state particles identified and reconstructed by the algorithm provides a global event description that leads to unprecedented CMS performance for jet and hadronic tau decay reconstruction, missing transverse momentum determination, and electron and muon identification. This approach also allows particles from pileup interactions to be identified and enables efficient pileup mitigation methods. The data collected by CMS at a centre-of-mass energy of 8 TeV show excellent agreement with the simulation and confirm the superior PF performance at least up to an average of 20 pileup interactions.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript describes the development and implementation of a fully-fledged particle-flow (PF) reconstruction algorithm for the CMS detector at the LHC. The algorithm exploits the detector's highly-segmented tracker, fine-grained ECAL, hermetic HCAL, strong magnetic field, and muon spectrometer to reconstruct a comprehensive list of final-state particles for each collision event. This global event description enables improved performance in jet and hadronic tau reconstruction, missing transverse momentum determination, electron and muon identification, and pileup mitigation. The paper details the algorithm tuning, particle identification and linking procedures, and validates the approach using 8 TeV collision data, reporting excellent agreement with Monte Carlo simulation up to an average of 20 pileup interactions.
Significance. If the validations hold, this work is significant for documenting the PF method that has become central to CMS physics analyses, providing a detailed, reproducible description of how individual particle reconstruction yields superior global event performance compared to traditional approaches. The direct data-MC comparisons for jet energy resolution, MET, tau ID, and lepton reconstruction, along with explicit testing of pileup modeling, strengthen the claims by grounding them in external 8 TeV benchmarks rather than unverified simulation assumptions. This enables better understanding and further development of event reconstruction techniques at hadron colliders.
major comments (2)
- [Performance validation section] Section on performance validation (likely around the data-MC comparison figures): while excellent agreement is reported, the manuscript should explicitly quantify the improvement over non-PF methods (e.g., calorimeter-only jets or track-based MET) in the same 8 TeV dataset to substantiate the 'unprecedented' and 'superior' performance claims; without these side-by-side metrics, the central assertion of global event description benefits rests partly on qualitative statements.
- [Algorithm implementation and tuning] Description of the PF algorithm tuning and particle linking (early sections on implementation): the procedure for handling neutral hadrons and photons in high pileup relies on specific energy and position resolutions; if these parameters are derived from simulation, the paper must demonstrate that residual data-MC discrepancies do not propagate into the final-state particle list at a level that affects downstream physics observables like jet substructure or tau decay modes.
minor comments (3)
- [Figures] Figure captions for data-MC comparison plots should include the specific pileup range and selection criteria used, to allow readers to assess the scope of the 'up to 20 pileup' validation.
- [Throughout] Notation for particle-flow objects (e.g., PF candidates vs. reconstructed particles) should be standardized throughout to avoid ambiguity in the global event description sections.
- [Results section] A brief table summarizing key performance metrics (e.g., jet resolution, MET resolution) with and without PF would improve clarity and support the significance claims.
Simulated Author's Rebuttal
We thank the referee for the careful reading of the manuscript and the recommendation for minor revision. We address each major comment point by point below and will revise the manuscript accordingly to strengthen the presentation of the PF algorithm and its performance.
read point-by-point responses
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Referee: [Performance validation section] Section on performance validation (likely around the data-MC comparison figures): while excellent agreement is reported, the manuscript should explicitly quantify the improvement over non-PF methods (e.g., calorimeter-only jets or track-based MET) in the same 8 TeV dataset to substantiate the 'unprecedented' and 'superior' performance claims; without these side-by-side metrics, the central assertion of global event description benefits rests partly on qualitative statements.
Authors: We agree that explicit side-by-side quantitative comparisons with non-PF methods on the same 8 TeV dataset would better substantiate the performance claims. The manuscript validates the PF algorithm through detailed data-MC agreement for jets, MET, taus, and leptons, but does not include direct numerical comparisons to calorimeter-only or track-based alternatives in the presented figures. We will add a dedicated paragraph and updated figures in the performance validation section that quantify the improvements (e.g., jet energy resolution and MET resolution) relative to non-PF approaches using the identical dataset. revision: yes
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Referee: [Algorithm implementation and tuning] Description of the PF algorithm tuning and particle linking (early sections on implementation): the procedure for handling neutral hadrons and photons in high pileup relies on specific energy and position resolutions; if these parameters are derived from simulation, the paper must demonstrate that residual data-MC discrepancies do not propagate into the final-state particle list at a level that affects downstream physics observables like jet substructure or tau decay modes.
Authors: The energy and position resolutions for neutral hadrons and photons are determined from a combination of test-beam data, simulation, and in-situ calibration with collision data. The manuscript already shows that the final PF-based observables (jet substructure, tau decay modes, and MET) agree well between data and simulation up to 20 pileup interactions, which provides indirect evidence that residual discrepancies do not propagate at a level affecting physics results. To address the comment directly, we will expand the algorithm tuning section with additional text describing the data-driven components of the calibration and include a brief sensitivity study showing the impact on downstream observables. revision: partial
Circularity Check
No significant circularity in derivation or claims
full rationale
The paper describes the PF algorithm, its tuning on CMS detector properties, and reports performance metrics through direct comparisons of data and simulation in 8 TeV collisions, with explicit agreement shown up to ~20 pileup interactions. All central claims (global event description, jet/tau/MET/lepton performance) rest on these external empirical benchmarks rather than on any self-definitional loop, fitted input renamed as prediction, or load-bearing self-citation that reduces the result to its own inputs by construction. The derivation chain is self-contained against real collision data and does not exhibit any of the enumerated circular patterns.
Axiom & Free-Parameter Ledger
axioms (2)
- domain assumption The CMS detector response and particle interactions can be accurately modeled by Monte Carlo simulation
- standard math Known physics processes govern how particles interact with detector material
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Reference graph
Works this paper leans on
-
[1]
The CMS experiment at the CERN LHC
CMS Collaboration, “The CMS experiment at the CERN LHC”, JINST 3 (2008) S08004, doi:10.1088/1748-0221/3/08/S08004
-
[2]
Performance of the ALEPH detector at LEP
ALEPH Collaboration, “Performance of the ALEPH detector at LEP”, Nucl. Instrum. Meth. A 360 (1995) 481, doi:10.1016/0168-9002(95)00138-7
-
[3]
Particle flow calorimetry and the PandoraPFA algorithm
M. A. Thomson, “Particle flow calorimetry and the PandoraPFA algorithm”, Nucl. Instrum. Meth. A 611 (2009) 25, doi:10.1016/j.nima.2009.09.009, arXiv:0907.3577. References 61
-
[4]
Arbor, a new approach of the Particle Flow Algorithm
M. Ruan and H. Videau, “Arbor, a new approach of the Particle Flow Algorithm”, in Proceedings, International Conference on Calorimetry for the High Energy Frontier (CHEF 2013), p. 316. 2013. arXiv:1403.4784
-
[5]
First look at the physics case of TLEP
M. Bicer et al., “First look at the physics case of TLEP”, JHEP 01 (2014) 164, doi:10.1007/JHEP01(2014)164, arXiv:1308.6176
-
[6]
CEPC-SPPC preliminary conceptual design report: Physics and detector
CEPC-SPPC Study Group, “CEPC-SPPC preliminary conceptual design report: Physics and detector”, Technical Report IHEP-CEPC-DR-2015-01, IHEP-TH-2015-01, IHEP-EP-2015-01, 2015
work page 2015
-
[7]
Performance of the DELPHI detector
DELPHI Collaboration, “Performance of the DELPHI detector”, Nucl. Instrum. Meth. A 378 (1996) 57, doi:10.1016/0168-9002(96)00463-9
-
[8]
Petit p ´eriple aux confins du mod`ele standard avec HERA
E. Sauvan, “Petit p ´eriple aux confins du mod`ele standard avec HERA”. PhD thesis, Marseille, CPPM, CPPM-H-2009-3, Appendix A (2009)
work page 2009
-
[9]
Precise measurement of jet energies with the ZEUS detector
ZEUS Collaboration, M. Wing, “Precise measurement of jet energies with the ZEUS detector”, in Calorimetry in high energy physics. Proceedings, 9th International Conference, CALOR 2000, volume 21, p. 617. Annecy, France, October, 2001. arXiv:hep-ex/0011046. [Frascati Phys. Ser. 21 (2001) 617]
-
[10]
Measurement of σ(p ¯p→ Z + X) Br(Z→ τ+τ−) at√s = 1.96 TeV
D0 Collaboration, “Measurement of σ(p ¯p→ Z + X) Br(Z→ τ+τ−) at√s = 1.96 TeV”, Phys. Lett. B 670 (2009) 292, doi:10.1016/j.physletb.2008.11.010, arXiv:0808.1306
-
[11]
Measurement of σ(pp→ z)·B (z→ ττ) in pp collisions at√s = 1.96 TeV
CDF Collaboration, “Measurement of σ(pp→ z)·B (z→ ττ) in pp collisions at√s = 1.96 TeV”, Phys. Rev. D 75 (2007) 092004, doi:10.1103/PhysRevD.75.092004
-
[12]
Determination of jet energy calibration and transverse momentum resolution in CMS
CMS Collaboration, “Determination of jet energy calibration and transverse momentum resolution in CMS”, JINST 6 (2011) P11002, doi:10.1088/1748-0221/6/11/P11002, arXiv:1107.4277
-
[13]
Reconstruction of hadronic decay products of tau leptons with the ATLAS experiment
ATLAS Collaboration, “Reconstruction of hadronic decay products of tau leptons with the ATLAS experiment”, Eur. Phys. J. C 76 (2016) 295, doi:10.1140/epjc/s10052-016-4110-0 , arXiv:1512.05955
-
[14]
Jet reconstruction and performance using particle flow with the ATLAS Detector
A. Collaboration, “Jet reconstruction and performance using particle flow with the ATLAS Detector”, (2017). arXiv:1703.10485. Submitted to Eur. Phys. J. C
work page Pith review arXiv 2017
-
[15]
CMS, the magnet project: technical design report
CMS Collaboration, “CMS, the magnet project: technical design report”. Technical Design Report CMS. CERN, Geneva, 1997. CERN-LHCC-97-10, https://cds.cern.ch/record/331056
work page 1997
-
[16]
The CMS tracker system project: technical design report
CMS Collaboration, “The CMS tracker system project: technical design report”. Technical Design Report CMS. CERN, Geneva, 1998. CERN-LHCC-98-006, https://cds.cern.ch/record/368412
work page 1998
-
[17]
The CMS tracker: addendum to the Technical Design Report
CMS Collaboration, “The CMS tracker: addendum to the Technical Design Report”. Technical Design Report CMS. CERN, Geneva, 2000. CERN-LHCC-2000-016, https://cds.cern.ch/record/490194. 62 References
work page 2000
-
[18]
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”, JINST 9 (2014) P10009, doi:10.1088/1748-0221/9/10/P10009, arXiv:1405.6569
-
[19]
The CMS electromagnetic calorimeter project: technical design report
CMS Collaboration, “The CMS electromagnetic calorimeter project: technical design report”. Technical Design Report CMS. CERN, Geneva, 1997. CERN-LHCC-97-033, https://cds.cern.ch/record/349375
work page 1997
-
[20]
Addendum to the CMS ECAL technical design report: changes to the CMS ECAL electronics
CMS Collaboration, “Addendum to the CMS ECAL technical design report: changes to the CMS ECAL electronics”. Technical Design Report CMS. CERN, Geneva, 2002. CERN-LHCC-2002-027, http://cds.cern.ch/record/581342
work page 2002
-
[21]
Energy resolution of the barrel of the CMS electromagnetic calorimeter
P . Adzic et al., “Energy resolution of the barrel of the CMS electromagnetic calorimeter”, JINST 2 (2007) P04004, doi:10.1088/1748-0221/2/04/P04004
-
[22]
Mitigation of anomalous APD signals in the CMS ECAL
W. Bialas and D. A. Petyt, “Mitigation of anomalous APD signals in the CMS ECAL”, JINST 8 (2013) C03020, doi:10.1088/1748-0221/8/03/C03020
-
[23]
CMS: The hadron calorimeter technical design report
CMS Collaboration, “CMS: The hadron calorimeter technical design report”. Technical Design Report CMS. CERN, Geneva, 1997. CERN-LHCC-97-31, https://cds.cern.ch/record/357153
work page 1997
-
[24]
The CMS barrel calorimeter response to particle beams from 2 to 350 GeV/c
CMS HCAL/ECAL Collaboration, “The CMS barrel calorimeter response to particle beams from 2 to 350 GeV/c”, Eur. Phys. J. C 60 (2009) 359, doi:10.1140/epjc/s10052-009-0959-5
-
[25]
Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter
CMS Collaboration, “Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter”, JINST 5 (2010) T03014, doi:10.1088/1748-0221/5/03/T03014, arXiv:0911.4881
-
[26]
CMS: The muon project technical design report
CMS Collaboration, “CMS: The muon project technical design report”. Technical Design Report CMS. CERN, Geneva, 1997. CERN-LHCC-97-32, https://cds.cern.ch/record/343814
work page 1997
-
[27]
The performance of the CMS muon detector in proton-proton collisions at√s = 7 TeV at the LHC
CMS Collaboration, “The performance of the CMS muon detector in proton-proton collisions at√s = 7 TeV at the LHC”, JINST 8 (2013) P11002, doi:10.1088/1748-0221/8/11/P11002, arXiv:1306.6905
-
[28]
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 Design Report CMS. CERN, Geneva, 2006. CERN-LHCC-2006-001, https://cds.cern.ch/record/922757
work page 2006
-
[29]
Track reconstruction in the CMS tracker
CMS Collaboration, “Track reconstruction in the CMS tracker”, CMS Note CMS-NOTE-2006-041, 2006
work page 2006
-
[30]
Track reconstruction performance in CMS
P . Azzurri, “Track reconstruction performance in CMS”, Nucl. Phys. Proc. Suppl. B 197 (2009) 275, doi:10.1016/j.nuclphysbps.2009.10.084, arXiv:0812.5036
-
[31]
Studies of tracker material in the CMS detector
CMS Collaboration, “Studies of tracker material in the CMS detector”, CMS Physics Analysis Summary CMS-PAS-TRK-10-003, 2010
work page 2010
-
[32]
CMS tracking performance results from early LHC operation
CMS Collaboration, “CMS tracking performance results from early LHC operation”, Eur. Phys. J. C 70 (2010) 1165, doi:10.1140/epjc/s10052-010-1491-3 , arXiv:1007.1988. References 63
-
[33]
CMS Collaboration, “Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at√s = 8 TeV”, JINST 10 (2015) P06005, doi:10.1088/1748-0221/10/06/P06005, arXiv:1502.02701
-
[34]
Reconstruction of electrons with the Gaussian-sum filter in the CMS tracker at the LHC
W. Adam, R. Fr ¨uhwirth, A. Strandlie, and T. Todorov, “Reconstruction of electrons with the Gaussian-sum filter in the CMS tracker at the LHC”, J. Phys. G 31 (2005) N9, doi:10.1088/0954-3899/31/9/N01, arXiv:physics/0306087
-
[35]
Performance of CMS muon reconstruction in pp collision events at√s=7 TeV
CMS Collaboration, “Performance of CMS muon reconstruction in pp collision events at√s = 7 TeV”, JINST 7 (2012) P10002, doi:10.1088/1748-0221/7/10/P10002, arXiv:1206.4071
-
[36]
CMS Collaboration, “Energy calibration and resolution of the CMS electromagnetic calorimeter in pp collisions at√s = 7 TeV”, JINST 8 (2013) P09009, doi:10.1088/1748-0221/8/09/P09009, arXiv:1306.2016
-
[37]
Allison, et al., Geant4 developments and applications, IEEE Trans
J. Allison et al., “Geant4 developments and applications”, IEEE Trans. Nucl. Sci. 53 (2006) 270, doi:10.1109/TNS.2006.869826
-
[38]
Communications of the ACM , month = sep, pages =
J. L. Bentley, “Multidimensional binary search trees used for associative searching”, Commun. ACM 18 (1975) 509, doi:10.1145/361002.361007
-
[39]
CMS Collaboration, “Performance of photon reconstruction and identification with the CMS detector in proton-proton collisions at √ (s) = 8 TeV”, JINST 10 (2015) P08010, doi:10.1088/1748-0221/10/08/P08010, arXiv:1502.02702
-
[40]
Electron reconstruction in CMS
S. Baffioni et al., “Electron reconstruction in CMS”, Eur. Phys. J. C 49 (2007) 1099, doi:10.1140/epjc/s10052-006-0175-5
-
[41]
T. Sj ¨ostrand, S. Mrenna, and P . Skands, “PYTHIA 6.4 physics and manual”, JHEP 05 (2006) 026, doi:10.1088/1126-6708/2006/05/026, arXiv:hep-ph/0603175
-
[42]
T. Sj ¨ostrand et al., “An introduction to PYTHIA 8.2”, Comput. Phys. Commun. 191 (2015) 159, doi:10.1016/j.cpc.2015.01.024, arXiv:1410.3012
-
[43]
M. Cacciari, G. P . Salam, and G. Soyez, “The anti-kt jet clustering algorithm”, JHEP 04 (2008) 063, doi:10.1088/1126-6708/2008/04/063, arXiv:0802.1189
-
[44]
M. Cacciari, G. P . Salam, and G. Soyez, “FastJet user manual”, Eur. Phys. J. C 72 (2012) 1896, doi:10.1140/epjc/s10052-012-1896-2 , arXiv:1111.6097
-
[45]
Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV
CMS Collaboration, “Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV”, JINST 12 (2017) P02014, doi:10.1088/1748-0221/12/02/P02014, arXiv:1607.03663
-
[46]
DELPHI Collaboration, “Measurement of the gluon fragmentation function and a comparison of the scaling violation in gluon and quark jets”, Eur. Phys. J. C 13 (2000) 573, doi:10.1007/s100520050719
-
[47]
Performance of the CMS missing transverse momentum reconstruction in pp data at √s= 8 TeV
CMS Collaboration, “Performance of the CMS missing transverse momentum reconstruction in pp data at√s = 8 TeV”, JINST 10 (2015) P02006, doi:10.1088/1748-0221/10/02/P02006, arXiv:1411.0511
-
[48]
Observation of a new boson with mass near 125 GeV in pp collisions at √s=7 and 8 TeV
CMS Collaboration, “Observation of a new boson with mass near 125 GeV in pp collisions at√s = 7 and 8 TeV”, JHEP 06 (2013) 081, doi:10.1007/JHEP06(2013)081, arXiv:1303.4571. 64 References
-
[49]
Measurement of the properties of a Higgs boson in the four-lepton final state
CMS Collaboration, “Measurement of the properties of a Higgs boson in the four-lepton final state”, Phys. Rev. D 89 (2014) 092007, doi:10.1103/PhysRevD.89.092007, arXiv:1312.5353
-
[50]
Patrignani et al., Review of Particle Physics , Chin
Particle Data Group, C. Patrignani et al., “Review of particle physics”, Chin. Phys. C 40 (2016) 100001, doi:10.1088/1674-1137/40/10/100001
-
[51]
Performance of tau-lepton reconstruction and identification in CMS
CMS Collaboration, “Performance of tau-lepton reconstruction and identification in CMS”, JINST 7 (2012) P01001, doi:10.1088/1748-0221/7/01/P01001, arXiv:1109.6034
-
[52]
Reconstruction and identification ofτlepton decays to hadrons and ντ at CMS
CMS Collaboration, “Reconstruction and identification of τ lepton decays to hadrons and ντ at CMS”, JINST 11 (2016) P01019, doi:10.1088/1748-0221/11/01/P01019, arXiv:1510.07488
-
[53]
CMS physics technical design report, volume II: physics performance
CMS Collaboration, “CMS technical design report, volume II: Physics performance”, J. Phys. G 34 (2007) 995, doi:10.1088/0954-3899/34/6/S01
-
[54]
Reconstruction and identification performance of τ lepton decays to hadrons and ντ in LHC Run-2
CMS Collaboration, “Reconstruction and identification performance of τ lepton decays to hadrons and ντ in LHC Run-2”, CMS Physics Analysis Summary CMS-PAS-TAU-16-002, 2016
work page 2016
-
[55]
CMS Collaboration, “The CMS trigger system”, JINST 12 (2017) P01020, doi:10.1088/1748-0221/12/01/P01020, arXiv:1609.02366
-
[56]
Measurement of the inelastic proton-proton cross section at √s = 7 TeV
CMS Collaboration, “Measurement of the inelastic proton-proton cross section at √s = 7 TeV”, Phys. Lett. B 722 (2013) 5, doi:10.1016/j.physletb.2013.03.024, arXiv:1210.6718
-
[57]
Pileup subtraction using jet areas
M. Cacciari and G. P . Salam, “Pileup subtraction using jet areas”, Phys. Lett. B 659 (2008) 119, doi:10.1016/j.physletb.2007.09.077, arXiv:0707.1378
-
[58]
M. Cacciari, G. P . Salam, and G. Soyez, “The catchment area of jets”, JHEP 04 (2008) 005, doi:10.1088/1126-6708/2008/04/005, arXiv:0802.1188
-
[59]
Pileup per particle identification
D. Bertolini, P . Harris, M. Low, and N. Tran, “Pileup per particle identification”, JHEP 10 (2014) 059, doi:10.1007/JHEP10(2014)059, arXiv:1407.6013
-
[60]
Study of pileup removal algorithms for jets
CMS Collaboration, “Study of pileup removal algorithms for jets”, CMS Physics Analysis Summary CMS-PAS-JME-14-001, 2014
work page 2014
-
[61]
Measurements of inclusive W and Z cross sections in pp collisions at√s = 7 TeV
CMS Collaboration, “Measurements of inclusive W and Z cross sections in pp collisions at√s = 7 TeV”, JHEP 01 (2011) 080, doi:10.1007/JHEP01(2011)080, arXiv:1012.2466
-
[62]
CMS luminosity based on pixel cluster counting - Summer 2013 update
CMS Collaboration, “CMS luminosity based on pixel cluster counting - Summer 2013 update”, CMS Physics Analysis Summary CMS-PAS-LUM-13-001, 2013
work page 2013
-
[63]
CMS Collaboration, “Pileup jet identification”, CMS Physics Analysis Summary CMS-PAS-JME-13-005, 2013
work page 2013
-
[64]
Event generator tunes obtained from underlying event and multiparton scattering measurements
CMS Collaboration, “Event generator tunes obtained from underlying event and multiparton scattering measurements”, Eur. Phys. J. C 76 (2016) 155, doi:10.1140/epjc/s10052-016-3988-x , arXiv:1512.00815. References 65
-
[65]
CMS technical design report for the pixel detector upgrade
CMS Collaboration, “CMS technical design report for the pixel detector upgrade”. Technical Design Report CMS. CERN, Geneva, 2012. CERN-LHCC-2012-016, https://cds.cern.ch/record/1481838
-
[66]
CMS technical design report for the phase 1 upgrade of the hadron calorimeter
CMS Collaboration, “CMS technical design report for the phase 1 upgrade of the hadron calorimeter”. Technical Design Report CMS. CERN, Geneva, 2012. CERN-LHCC-2012-015, https://cds.cern.ch/record/1481837
-
[67]
CMS phase II upgrade scope document
CMS Collaboration, “CMS phase II upgrade scope document”, Technical Design Report CERN-LHCC-2015-019, Geneva, 2015. 66 References 67 A The CMS Collaboration Yerevan Physics Institute, Yerevan, Armenia A.M. Sirunyan, A. Tumasyan Institut f ¨ ur Hochenergiephysik, Wien, Austria W. Adam, E. Asilar, T. Bergauer, J. Brandstetter, E. Brondolin, M. Dragicevic, J...
work page 2015
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