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arxiv: 2606.20257 · v1 · pith:AKJ7WF2Inew · submitted 2026-06-18 · ⚛️ nucl-ex · hep-ex

Measurements of charged-particle pseudorapidity and transverse momentum distributions in O+O and Ne+Ne collisions at sqrt{s_(_NN)} = 5.36 TeV with the ATLAS detector

Pith reviewed 2026-06-26 14:48 UTC · model grok-4.3

classification ⚛️ nucl-ex hep-ex
keywords charged-particle multiplicitypseudorapidity distributionstransverse momentum spectraheavy-ion collisionsO+O collisionsNe+Ne collisionscentrality dependenceATLAS experiment
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The pith

ATLAS measures charged-particle density and mean transverse momentum versus pseudorapidity in O+O and Ne+Ne collisions at 5.36 TeV.

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

The paper reports the first measurements of charged-particle production in oxygen-oxygen and neon-neon collisions at the LHC. It gives the per-event pseudorapidity density dn/dη and average transverse momentum as functions of pseudorapidity, broken down into narrow centrality intervals from 0 to 80 percent. The results are obtained inside the inner detector acceptance and then extrapolated to full pT coverage down to zero, with direct comparison to hydrodynamic model calculations.

Core claim

The per-event charged-particle pseudorapidity density dn/dη and mean transverse momentum ⟨pT⟩ are measured over |η|<2.5 and 0.27 < pT < 5 GeV as a function of η in 5%-wide centrality intervals for 5-80% centrality and 1%-wide intervals for 0-5% centrality, with invariant yields fitted to extrapolate to 0 < pT < 5 GeV; the same quantities are also extracted versus rapidity assuming a pion mass, and all results are compared to hydrodynamic calculations.

What carries the argument

Centrality determination from total transverse energy in the forward calorimeters, combined with charged-particle reconstruction in the inner detector over the stated fiducial ranges.

If this is right

  • The measured distributions supply reference data for testing whether hydrodynamic flow develops in small nuclear systems.
  • Direct O+O versus Ne+Ne comparison isolates the effect of nuclear size at fixed collision energy.
  • The rapidity distributions allow assessment of the difference between pseudorapidity and rapidity observables.
  • Extrapolated full-pT yields enable consistent comparison with lower-energy fixed-target experiments.

Where Pith is reading between the lines

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

  • If the hydrodynamic models match the light-ion data, the results would support the idea that collective behavior appears even in collisions involving only a few dozen nucleons.
  • Discrepancies in the most peripheral bins could point to the onset of non-hydrodynamic mechanisms such as string fragmentation or initial-state fluctuations.
  • These measurements could be repeated at higher LHC energies to map the energy dependence of small-system collectivity.

Load-bearing premise

The total transverse energy deposited in the forward calorimeters correctly orders events by the number of participating nucleons.

What would settle it

A systematic discrepancy between the measured dn/dη shapes and hydrodynamic predictions that grows with decreasing system size or increasing centrality would indicate that the hydrodynamic description fails for these light systems.

read the original abstract

Measurements of charged-particle transverse momentum spectra, multiplicity, and mean transverse momentum are presented as a function of pseudorapidity and collision centrality in O+O and Ne+Ne collisions at $\sqrt{s_{_\text{NN}}}= 5.36$ TeV using 27.7 $\mu\text{b}^{-1}$ and 53.1 $\mu\text{b}^{-1}$ data sets recorded by the ATLAS experiment at the LHC. The collision centrality is characterized by the total transverse energy measured in the ATLAS forward calorimeters. The kinematics of charged particles are reconstructed with the inner detector over the fiducial pseudorapidity and transverse momentum ranges $|\eta|<2.5$ and $0.27 < p_{\text{T}} < 5$ GeV using data from the ATLAS inner detector. The per-event charged-particle pseudorapidity density $dn/d\eta$ and mean transverse momentum $\langle p_{\text{T}}\rangle$ are measured over this fiducial range as a function of $\eta$. The results are reported in 5%-wide centrality intervals covering the 5-80% centrality range, and in 1%-wide intervals covering the 0-5% centrality range. Invariant per-event yields are evaluated as a function of $\eta$ and $p_{\text{T}}$. Their $p_{\text{T}}$ dependence is fitted to estimate extrapolated $dn/d\eta$ and $\langle p_{\text{T}}\rangle$ values over $0 < p_{\text{T}} < 5$ GeV. To evaluate the impact of using pseudorapidity instead of rapidity, measurements are also performed as a function of rapidity computed using a pion mass hypothesis. The fiducial and extrapolated results are compared with hydrodynamic calculations.

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

0 major / 3 minor

Summary. The paper reports measurements of charged-particle pseudorapidity density dn/dη and mean transverse momentum ⟨pT⟩ in O+O and Ne+Ne collisions at √s_NN = 5.36 TeV with the ATLAS detector. Centrality is determined from total transverse energy in the forward calorimeters. Kinematics are reconstructed in the inner detector over |η| < 2.5 and 0.27 < pT < 5 GeV. Results are given in 5%-wide centrality intervals (5-80%) and 1%-wide intervals (0-5%), with pT spectra fitted to extrapolate dn/dη and ⟨pT⟩ to 0 < pT < 5 GeV. Additional measurements use rapidity (pion mass hypothesis), and results are compared to hydrodynamic calculations. Data sets are 27.7 μb^{-1} (O+O) and 53.1 μb^{-1} (Ne+Ne).

Significance. If the results hold, they supply new data on charged-particle production in small collision systems at LHC energies. These measurements test hydrodynamic models in lighter nuclei and help constrain initial-state effects and collective behavior in O+O and Ne+Ne collisions. The use of standard, well-documented ATLAS reconstruction and centrality procedures, together with explicit fiducial and extrapolated results, strengthens the utility of the data set for model comparisons.

minor comments (3)
  1. The abstract states that invariant yields are fitted to extrapolate to 0 < pT < 5 GeV, but the functional form of the fit (e.g., exponential, power-law, or blast-wave) and the fit range are not specified; this detail should be added in §4 or §5 for reproducibility.
  2. The comparison to hydrodynamic calculations is mentioned without naming the specific models, their parameters, or the centrality determination method used in the theory; a table or explicit reference list in the results section would improve clarity.
  3. The integrated luminosities are given, but the paper should state the number of events or the centrality-dependent event counts after all selections to allow assessment of statistical precision in the most central bins.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive assessment of the manuscript, including the significance of the measurements for testing hydrodynamic models in small systems, and for recommending minor revision. The report does not list any specific major comments.

Circularity Check

0 steps flagged

Pure measurement paper; no derivations or predictions

full rationale

This is an experimental measurement paper reporting dn/dη and ⟨pT⟩ distributions from ATLAS data in O+O and Ne+Ne collisions. Centrality uses FCal transverse energy, tracking uses the inner detector over the stated fiducial ranges, and a pT-spectrum fit is applied only to extrapolate the already-measured yields to 0 < pT < 5 GeV. No first-principles derivation, uniqueness theorem, ansatz, or self-citation chain is invoked to obtain the reported results; the outputs are direct measurements plus a standard extrapolation step. No load-bearing step reduces to its own inputs by construction.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Measurement paper; no free parameters, axioms, or invented entities introduced beyond standard detector response and centrality definitions assumed from prior ATLAS work.

pith-pipeline@v0.9.1-grok · 5873 in / 1023 out tokens · 39448 ms · 2026-06-26T14:48:13.015408+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

83 extracted references · 37 linked inside Pith

  1. [1]

    Busza, K

    W. Busza, K. Rajagopal, and W. van der Schee, Heavy Ion Collisions: The Big Picture, and the Big Questions, Ann. Rev. Nucl. Part. Sci.68(2018) 339, arXiv:1802.04801 [hep-ph]

  2. [2]

    Schlichting and D

    S. Schlichting and D. Teaney,The First fm/c of Heavy-Ion Collisions, Ann. Rev. Nucl. Part. Sci.69(2019) 447, arXiv:1908.02113 [nucl-th]

  3. [3]

    Baier, A

    R. Baier, A. H. Mueller, D. Schiff, and D. T. Son, ’Bottom up’ thermalization in heavy ion collisions, Phys. Lett. B502(2001) 51, arXiv:hep-ph/0009237

  4. [4]

    Berges, M

    J. Berges, M. P. Heller, A. Mazeliauskas, and R. Venugopalan, QCD thermalization: Ab initio approaches and interdisciplinary connections, Rev. Mod. Phys.93(2021) 035003, arXiv:2005.12299 [hep-th]

  5. [5]

    Heinz and B

    U. Heinz and B. Schenke,Hydrodynamic Description of the Quark-Gluon Plasma, (2024), arXiv:2412.19393 [nucl-th]

  6. [6]

    Schenke, S

    B. Schenke, S. Jeon, and C. Gale, (3+1)D hydrodynamic simulation of relativistic heavy-ion collisions, Phys. Rev. C82(2010) 014903, arXiv:1004.1408 [hep-ph]

  7. [7]

    P. K. Kovtun, D. T. Son, and A. O. Starinets, Viscosity in strongly interacting quantum field theories from black hole physics, Phys. Rev. Lett.94(2005) 111601, arXiv:hep-th/0405231

  8. [8]

    Romatschke and U

    P. Romatschke and U. Romatschke,Viscosity Information from Relativistic Nuclear Collisions: How Perfect is the Fluid Observed at RHIC?Phys. Rev. Lett.99(2007) 172301, arXiv:0706.1522 [nucl-th]

  9. [9]

    D. A. Teaney,Viscous Hydrodynamics and the Quark Gluon Plasma, Quark-gluon plasma 4 (2010) 207, ed. by R. C. Hwa and X.-N. Wang, arXiv:0905.2433 [nucl-th]

  10. [10]

    Kurkela, A

    A. Kurkela, A. Mazeliauskas, J.-F. Paquet, S. Schlichting, and D. Teaney,Effective kinetic description of event-by-event pre-equilibrium dynamics in high-energy heavy-ion collisions, Phys. Rev. C99(2019) 034910, arXiv:1805.00961 [hep-ph]

  11. [11]

    Giacalone, A

    G. Giacalone, A. Mazeliauskas, and S. Schlichting,Hydrodynamic Attractors, Initial State Energy, and Particle Production in Relativistic Nuclear Collisions, Phys. Rev. Lett.123(2019) 262301, arXiv:1908.02866 [hep-ph]

  12. [12]

    J. D. Bjorken,Highly Relativistic Nucleus-Nucleus Collisions: The Central Rapidity Region, Phys. Rev. D27(1983) 140

  13. [13]

    Berges, K

    J. Berges, K. Boguslavski, S. Schlichting, and R. Venugopalan, Universal attractor in a highly occupied non-Abelian plasma, Phys. Rev. D89(2014) 114007, arXiv:1311.3005 [hep-ph]

  14. [14]

    Strickland, J

    M. Strickland, J. Noronha, and G. S. Denicol,Anisotropic nonequilibrium hydrodynamic attractor, Phys. Rev. D97(2018) 036020, arXiv:1709.06644 [nucl-th]

  15. [15]

    Bożek,Transverse-momentum–flow correlations in relativistic heavy-ion collisions, Phys

    P. Bożek,Transverse-momentum–flow correlations in relativistic heavy-ion collisions, Phys. Rev. C93(2016) 044908, arXiv:1601.04513 [nucl-th]. 84

  16. [16]

    F. G. Gardim, G. Giacalone, and J.-Y. Ollitrault, Themeantransversemomentumofultracentralheavy-ioncollisions:Anewprobeofhydrodynamics, Phys. Lett. B809(2020) 135749, arXiv:1909.11609 [nucl-th]

  17. [17]

    ATLAS Collaboration,Observation of Long-Range Elliptic Azimuthal Anisotropies in√𝑠=13 and 2.76TeV𝑝 𝑝Collisions with the ATLAS Detector, Phys. Rev. Lett.116(2016) 172301, arXiv:1509.04776 [hep-ex]

  18. [18]

    CMS Collaboration,Evidence for collectivity in𝑝 𝑝collisions at the LHC, Phys. Lett. B765(2017) 193, arXiv:1606.06198 [hep-ex]

  19. [19]

    ALICE Collaboration, Multiplicity dependence of light-flavor hadron production in pp collisions at√𝑠= 7 TeV, Phys. Rev. C99(2019) 024906, arXiv:1807.11321 [nucl-ex]

  20. [20]

    ATLAS Collaboration,Observation of Associated Near-Side and Away-Side Long-Range Correlations in√𝑠NN =5.02TeV Proton–Lead Collisions with the ATLAS Detector, Phys. Rev. Lett.110(2013) 182302, arXiv:1212.5198 [hep-ex]

  21. [21]

    ALICE Collaboration, Long-range angular correlations on the near and away side in𝑝-Pb collisions at√𝑠𝑁 𝑁 =5.02 TeV, Phys. Lett. B719(2013) 29, arXiv:1212.2001 [nucl-ex]

  22. [22]

    ALICE Collaboration, Enhanced production of multi-strange hadrons in high-multiplicity proton-proton collisions, Nature Phys.13(2017) 535, arXiv:1606.07424 [nucl-ex]

  23. [23]

    ALICE Collaboration,Multiplicity Dependence of Pion, Kaon, Proton and Lambda Production in p-Pb Collisions at√𝑠𝑁 𝑁 = 5.02 TeV, Phys. Lett. B728(2014) 25, arXiv:1307.6796 [nucl-ex]

  24. [24]

    J. L. Nagle and W. A. Zajc, Small System Collectivity in Relativistic Hadronic and Nuclear Collisions, Ann. Rev. Nucl. Part. Sci.68(2018) 211, arXiv:1801.03477 [nucl-ex]

  25. [25]

    R. D. Weller and P. Romatschke,One fluid to rule them all: viscous hydrodynamic description of event-by-event central p+p, p+Pb and Pb+Pb collisions at√𝑠=5.02TeV, Phys. Lett. B774(2017) 351, arXiv:1701.07145 [nucl-th]

  26. [26]

    Citron et al., Future physics opportunities for high-density QCD at the LHC with heavy-ion and proton beams, CERN Yellow Rep

    Z. Citron et al., Future physics opportunities for high-density QCD at the LHC with heavy-ion and proton beams, CERN Yellow Rep. Monogr.7(2019) 1159, ed. by Z. Citron et al., arXiv:1812.06772 [hep-ph]

  27. [27]

    Giacalone,Observing the deformation of nuclei with relativistic nuclear collisions, Phys

    G. Giacalone,Observing the deformation of nuclei with relativistic nuclear collisions, Phys. Rev. Lett.124(2020) 202301, arXiv:1910.04673 [nucl-th]

  28. [28]

    Giacalone, Constraining the quadrupole deformation of atomic nuclei with relativistic nuclear collisions, Phys

    G. Giacalone, Constraining the quadrupole deformation of atomic nuclei with relativistic nuclear collisions, Phys. Rev. C102(2020) 024901, arXiv:2004.14463 [nucl-th]

  29. [29]

    Jia et al., Imaging the initial condition of heavy-ion collisions and nuclear structure across the nuclide chart, Nucl

    J. Jia et al., Imaging the initial condition of heavy-ion collisions and nuclear structure across the nuclide chart, Nucl. Sci. Tech.35(2024) 220, arXiv:2209.11042 [nucl-ex]

  30. [30]

    Frosini et al.,Multi-reference many-body perturbation theory for nuclei: II

    M. Frosini et al.,Multi-reference many-body perturbation theory for nuclei: II. Ab initio study of neon isotopes via PGCM and IM-NCSM calculations, Eur. Phys. J. A58(2022) 63, arXiv:2111.00797 [nucl-th]. 85

  31. [31]

    Giacalone et al., Exploiting 20Ne Isotopes for Precision Characterizations of Collectivity in Small Systems, Phys

    G. Giacalone et al., Exploiting 20Ne Isotopes for Precision Characterizations of Collectivity in Small Systems, Phys. Rev. Lett.135(2025) 012302, arXiv:2402.05995 [nucl-th]

  32. [32]

    Frosini, T

    M. Frosini, T. Duguet, J.-P. Ebran, and V. Somà, Multi-reference many-body perturbation theory for nuclei: I. Novel PGCM-PT formalism, Eur. Phys. J. A58(2022) 62, arXiv:2110.15737 [nucl-th]

  33. [33]

    Frosini et al.,Multi-reference many-body perturbation theory for nuclei: III

    M. Frosini et al.,Multi-reference many-body perturbation theory for nuclei: III. Ab initio calculations at second order in PGCM-PT, Eur. Phys. J. A58(2022) 64, arXiv:2111.01461 [nucl-th]

  34. [34]

    Lee,Lattice Effective Field Theory Simulations of Nuclei, Ann

    D. Lee,Lattice Effective Field Theory Simulations of Nuclei, Ann. Rev. Nucl. Part. Sci.75(2025) 109, arXiv:2501.03303 [nucl-th]

  35. [35]

    J. S. Moreland, J. E. Bernhard, and S. A. Bass,Alternative ansatz to wounded nucleon and binary collision scaling in high-energy nuclear collisions, Phys. Rev. C92(2015) 011901, arXiv:1412.4708 [nucl-th]

  36. [36]

    Voloshin and Y

    S. Voloshin and Y. Zhang, Flow study in relativistic nuclear collisions by Fourier expansion of Azimuthal particle distributions, Z. Phys. C70(1996) 665, arXiv:hep-ph/9407282

  37. [37]

    ATLAS Collaboration,Measurement of the azimuthal anisotropy of charged particles in√𝑠NN =5.36TeV 16O+16O and20Ne+20Ne collisions with the ATLAS detector, Phys. Rev. C113(2026) 045205, arXiv:2509.05171 [nucl-ex]

  38. [38]

    CMS Collaboration,Observation of long-range collective flow in OO and NeNe collisions and implications for nuclear structure studies, (2025), arXiv:2510.02580 [nucl-ex]

  39. [39]

    ALICE Collaboration,Evidence of nuclear geometry-driven anisotropic flow in OO and Ne−Ne collisions at√𝑠NN = 5.36 TeV, (2025), arXiv:2509.06428 [nucl-ex]

  40. [40]

    ATLAS Collaboration,The ATLAS Experiment at the CERN Large Hadron Collider, JINST3(2008) S08003

  41. [41]

    ATLAS Collaboration,The ATLAS experiment at the CERN Large Hadron Collider: a description of the detector configuration for Run 3, JINST19(2024) P05063, arXiv:2305.16623 [physics.ins-det]

  42. [42]

    ATLAS Collaboration,ATLAS Insertable B-Layer: Technical Design Report, ATLAS-TDR-19; CERN-LHCC-2010-013, 2010, url:https://cds.cern.ch/record/1291633, Addendum: ATLAS-TDR-19-ADD-1; CERN-LHCC-2012-009, 2012,url:https://cds.cern.ch/record/1451888

  43. [43]

    Abbott et al.,Production and integration of the ATLAS Insertable B-Layer, JINST13(2018) T05008, arXiv:1803.00844 [physics.ins-det]

    B. Abbott et al.,Production and integration of the ATLAS Insertable B-Layer, JINST13(2018) T05008, arXiv:1803.00844 [physics.ins-det]

  44. [44]

    Artamonov et al.,The ATLAS Forward Calorimeter, JINST3(2008) P02010

    A. Artamonov et al.,The ATLAS Forward Calorimeter, JINST3(2008) P02010

  45. [45]

    Avoni et al., Upgrades of the ATLAS zero degree calorimeter system for Run 3 at the Large Hadron Collider, JINST20(2025) P11021, arXiv:2509.05948 [physics.ins-det]

    G. Avoni et al., Upgrades of the ATLAS zero degree calorimeter system for Run 3 at the Large Hadron Collider, JINST20(2025) P11021, arXiv:2509.05948 [physics.ins-det]

  46. [46]

    Avoni et al.,The new LUCID-2 detector for luminosity measurement and monitoring in ATLAS, JINST13(2018) P07017

    G. Avoni et al.,The new LUCID-2 detector for luminosity measurement and monitoring in ATLAS, JINST13(2018) P07017. 86

  47. [47]

    ATLAS Collaboration,The ATLAS trigger system for LHC Run 3 and trigger performance in 2022, JINST19(2024) P06029, arXiv:2401.06630 [hep-ex]

  48. [48]

    ATLAS Collaboration,ATLAS Computing Acknowledgements, ATL-SOFT-PUB-2026-001, 2026, url:https://cds.cern.ch/record/2952666

  49. [49]

    ATLAS Collaboration,The ATLAS transition radiation detector (TRT) Fast-OR trigger, ATL-INDET-PUB-2009-002, 2009,url:https://cds.cern.ch/record/1229213

  50. [50]

    ATLAS Collaboration,ATLAS data quality operations and performance for 2015–2018 data-taking, JINST15(2020) P04003, arXiv:1911.04632 [physics.ins-det]

  51. [51]

    ATLAS Collaboration, Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2, Eur. Phys. J. C77(2017) 673, arXiv:1704.07983 [hep-ex]

  52. [52]

    ATLAS Collaboration,Vertex Reconstruction Performance of the ATLAS Detector at√𝑠=13TeV , ATL-PHYS-PUB-2015-026, 2015,url:https://cds.cern.ch/record/2037717

  53. [53]

    ATLAS Collaboration,Development of ATLAS Primary Vertex Reconstruction for LHC Run 3, ATL-PHYS-PUB-2019-015, 2019,url:https://cds.cern.ch/record/2670380

  54. [54]

    ATLAS Collaboration,Track and Vertex Reconstruction with the ATLAS Inner Detector, (2026), arXiv:2605.07585 [physics.ins-det]

  55. [55]

    ATLAS Collaboration, Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1, Eur. Phys. J. C77(2017) 490, arXiv:1603.02934 [hep-ex]

  56. [56]

    ATLAS Collaboration,Measurement of the azimuthal anisotropy for charged particle production in√𝑠NN =2.76TeV lead–lead collisions with the ATLAS detector, Phys. Rev. C86(2012) 014907, arXiv:1203.3087 [hep-ex]

  57. [57]

    ATLAS Collaboration, Measurement of the pseudorapidity and transverse momentum dependence of the elliptic flow of charged particles in lead–lead collisions at√𝑠NN =2.76TeV with the ATLAS detector, Phys. Lett. B707(2012) 330, arXiv:1108.6018 [hep-ex]

  58. [58]

    ATLAS Collaboration,Measurement of the azimuthal anisotropy of charged-particle production in Xe+Xe collisions at√𝑠NN =5.44TeV with the ATLAS detector, Phys. Rev. C101(2020) 024906, arXiv:1911.04812 [nucl-ex]

  59. [59]

    M. L. Miller, K. Reygers, S. J. Sanders, and P. Steinberg, Glauber Modeling in High-Energy Nuclear Collisions, Ann. Rev. Nucl. Part. Sci.57(2007) 205, arXiv:nucl-ex/0701025

  60. [60]

    Loizides,Glauber predictions for oxygen and neon collisions at energies available at the CERN Large Hadron Collider, Phys

    C. Loizides,Glauber predictions for oxygen and neon collisions at energies available at the CERN Large Hadron Collider, Phys. Rev. C113(2026) 014914, arXiv:2507.05853 [nucl-th]

  61. [61]

    Lee,Recent Progress in Nuclear Lattice Simulations, Frontiers in PhysicsVolume 8(2020)

    D. Lee,Recent Progress in Nuclear Lattice Simulations, Frontiers in PhysicsVolume 8(2020)

  62. [62]

    Nijs and W

    G. Nijs and W. van der Schee,Predictions and postdictions for relativistic lead and oxygen collisions with the computational simulation code Trajectum, Phys. Rev. C106(2022) 044903, arXiv:2110.13153 [nucl-th]

  63. [63]

    Wang and M

    X.-N. Wang and M. Gyulassy, HIJING: A Monte Carlo model for multiple jet production in pp, pA, and AA collisions, Phys. Rev. D44(1991) 3501. 87

  64. [64]

    ATLAS Collaboration,The ATLAS Simulation Infrastructure, Eur. Phys. J. C70(2010) 823, arXiv:1005.4568 [physics.ins-det]

  65. [65]

    Agostinelli et al.,Geant4– a simulation toolkit, Nucl

    S. Agostinelli et al.,Geant4– a simulation toolkit, Nucl. Instrum. Meth. A506(2003) 250

  66. [66]

    Phys.13(2011) 053033, arXiv:1012.5104 [hep-ex]

    ATLAS Collaboration, Charged-particle multiplicities in𝑝 𝑝interactions measured with the ATLAS detector at the LHC, New J. Phys.13(2011) 053033, arXiv:1012.5104 [hep-ex]

  67. [67]

    ALICE Collaboration, Production of pions, kaons, (anti-)protons and𝜙mesons in Xe–Xe collisions at√𝑠NN = 5.44 TeV, Eur. Phys. J. C81(2021) 584, arXiv:2101.03100 [nucl-ex]

  68. [68]

    Pierog, I

    T. Pierog, I. Karpenko, J. M. Katzy, E. Yatsenko, and K. Werner,EPOS LHC: Test of collective hadronization with data measured at the CERN Large Hadron Collider, Phys. Rev. C92(2015) 034906, arXiv:1306.0121 [hep-ph]

  69. [69]

    Hagedorn, Multiplicities,𝑝 𝑇 distributions and the expected hadron→quark-gluon phase transition, Riv

    R. Hagedorn, Multiplicities,𝑝 𝑇 distributions and the expected hadron→quark-gluon phase transition, Riv. Nuovo Cim.6(1983) 1

  70. [70]

    Schnedermann, J

    E. Schnedermann, J. Sollfrank, and U. Heinz, Thermal phenomenology of hadrons from 200A GeV S+S collisions, Phys. Rev. C48(1993) 2462, arXiv:nucl-th/9307020

  71. [71]

    Mäntysaari, B

    H. Mäntysaari, B. Schenke, C. Shen, and W. Zhao, Collision-Energy Dependence in Heavy-Ion Collisions from Nonlinear QCD Evolution, Phys. Rev. Lett.135(2025) 022302, arXiv:2502.05138 [nucl-th]

  72. [72]

    Lee,Lattice simulations for few- and many-body systems, Prog

    D. Lee,Lattice simulations for few- and many-body systems, Prog. Part. Nucl. Phys.63(2009) 117, arXiv:0804.3501 [nucl-th]

  73. [73]

    Schenke, P

    B. Schenke, P. Tribedy, and R. Venugopalan, Fluctuating Glasma initial conditions and flow in heavy ion collisions, Phys. Rev. Lett.108(2012) 252301, arXiv:1202.6646 [nucl-th]

  74. [74]

    Bleicher et al., Relativistic hadron-hadron collisions in the ultra-relativistic quantum molecular dynamics model, J

    M. Bleicher et al., Relativistic hadron-hadron collisions in the ultra-relativistic quantum molecular dynamics model, J. Phys. G25(1999) 1859, arXiv:hep-ph/9909407

  75. [75]

    S. A. Bass et al.,Microscopic models for ultrarelativistic heavy ion collisions, Prog. Part. Nucl. Phys.41(1998) 255, arXiv:nucl-th/9803035

  76. [76]

    G. Nijs, W. van der Schee, U. Gürsoy, and R. Snellings, Bayesian analysis of heavy ion collisions with the heavy ion computational framework Trajectum, Phys. Rev. C103(2021) 054909, arXiv:2010.15134 [nucl-th]

  77. [77]

    Giacalone, G

    G. Giacalone, G. Nijs, and W. van der Schee, Determination of the Neutron Skin of208Pb from Ultrarelativistic Nuclear Collisions, Phys. Rev. Lett.131(2023) 202302, arXiv:2305.00015 [nucl-th]

  78. [78]

    Werner,EPOS4: New theoretical concepts for modeling proton-proton and ion-ion scattering at very high energies, (2024), arXiv:2410.09955 [hep-ph]

    K. Werner,EPOS4: New theoretical concepts for modeling proton-proton and ion-ion scattering at very high energies, (2024), arXiv:2410.09955 [hep-ph]

  79. [79]

    K. Werner,Revealing a deep connection between factorization and saturation: New insight into modeling high-energy proton-proton and nucleus-nucleus scattering in the EPOS4 framework, Phys. Rev. C108(2023) 064903, arXiv:2301.12517 [hep-ph]. 88

  80. [80]

    Werner and B

    K. Werner and B. Guiot, Perturbative QCD concerning light and heavy flavor in the EPOS4 framework, Phys. Rev. C108(2023) 034904, arXiv:2306.02396 [hep-ph]

Showing first 80 references.