pith. sign in

arxiv: 2606.00973 · v2 · pith:C6BUDUBPnew · submitted 2026-05-31 · ⚛️ nucl-ex · hep-ex

Measurements of jet quenching with semi-inclusive hadron-jet correlations in Ru+Ru and Zr+Zr collisions at sqrt{s_NN}=200 GeV

Pith reviewed 2026-06-28 16:22 UTC · model grok-4.3

classification ⚛️ nucl-ex hep-ex
keywords jet quenchingsemi-inclusive hadron-jet correlationsRu+Ru collisionsZr+Zr collisionsquark-gluon plasmapartonic energy lossintra-jet broadeningSTAR experiment
0
0 comments X

The pith

Suppression of the recoil jet yield is observed in central Ru+Ru and Zr+Zr collisions at 200 GeV, indicating medium-induced partonic energy loss.

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

The STAR experiment measures the semi-inclusive yield of charged-particle jets recoiling from high transverse momentum charged-hadron triggers in centrality-selected Ru+Ru and Zr+Zr collisions at 200 GeV. By comparing trigger-normalized recoil yields in central versus peripheral collisions, the analysis quantifies the effects of jet quenching from the quark-gluon plasma. Suppression of the recoil yield appears in central events, consistent with partonic energy loss. The ratio of recoil jet yields for small versus large resolution parameters is also suppressed in central collisions, indicating medium-induced intra-jet broadening. These intermediate-mass systems provide insight into the spatial and temporal aspects of quenching when compared with smaller and larger collision systems.

Core claim

Measurements show suppression of the trigger-normalized recoil jet yield in central relative to peripheral Ru+Ru and Zr+Zr collisions, indicating medium-induced partonic energy loss due to quenching. The ratio of recoil jet yields for small and large resolution parameters is suppressed in central relative to peripheral collisions, characteristic of medium-induced intra-jet broadening.

What carries the argument

Semi-inclusive hadron-jet correlations, with recoil jet yields normalized to the number of high-pT hadron triggers and compared across centrality classes at different resolution parameters.

Load-bearing premise

Observed differences between central and peripheral collisions arise primarily from medium-induced jet quenching rather than from initial-state nuclear effects, trigger biases, or choices in centrality selection and background subtraction.

What would settle it

No suppression of the normalized recoil jet yield in central collisions relative to peripheral ones, after background subtraction, would falsify the claim of medium-induced energy loss.

Figures

Figures reproduced from arXiv: 2606.00973 by The STAR Collaboration.

Figure 1
Figure 1. Figure 1: Distributions of Y h+jet(p reco,ch T,jet ) in central (upper panels) and peripheral (lower panels) Zr+Zr collisions for R = 0.2 (left panels) and R = 0.5 (right panels). Upper sub-panels: SE (red points) and ME (shaded histogram) distributions; ME normalization region (blue histogram); and difference distribution (black crosses). Error bars are statistical only. Lower sub-panels: ratio of Y h+jet(p reco,ch… view at source ↗
Figure 2
Figure 2. Figure 2: Distributions of Y˜ h+jet(p ch T,jet) for Ru+Ru and Zr+Zr collisions at √ sNN = 200 GeV, for R = 0.2 (left) and 0.5 (right). Upper panels: central collisions; lower panels: peripheral collisions. Statistical errors and systematic uncertainties are indicated by error bars and shaded boxes, respectively. for central relative to peripheral collisions provides direct evi￾dence of partonic energy loss due to je… view at source ↗
Figure 4
Figure 4. Figure 4: Distributions of ICP for combined Ru+Ru and Zr+Zr data at √ sNN = 200 GeV from [PITH_FULL_IMAGE:figures/full_fig_p007_4.png] view at source ↗
Figure 7
Figure 7. Figure 7: Distributions of Y˜ h+jet(p ch T,jet) for the combined Ru+Ru and Zr+Zr data, for central and peripheral collisions and R = 0.2, 0.3, 0.4, and 0.5. Statis￾tical errors and systematic uncertainties are indicated by error bars and shaded boxes, respectively. R = 0.3 and 0.4 [PITH_FULL_IMAGE:figures/full_fig_p008_7.png] view at source ↗
Figure 6
Figure 6. Figure 6: Distributions of Y˜ h+jet(p ch T,jet) for Zr+Zr and Ru+Ru collisions at √ sNN = 200 GeV, for R = 0.3 (left) and 0.4 (right). Upper panels: central collisions; lower panels: peripheral collisions. Statistical errors and systematic uncertainties are indicated by error bars and shaded boxes, respectively [PITH_FULL_IMAGE:figures/full_fig_p008_6.png] view at source ↗
Figure 8
Figure 8. Figure 8: Distributions of recoil jet yield ratios between small [PITH_FULL_IMAGE:figures/full_fig_p009_8.png] view at source ↗
read the original abstract

The STAR experiment at RHIC reports measurements of the semi-inclusive yield of charged-particle jets recoiling from high transverse momentum charged-hadron triggers in centrality-selected Ru+Ru and Zr+Zr collisions at the nucleon-nucleon center-of-mass energy of 200 GeV. The effects of jet quenching, arising from the interaction of jets with the quark-gluon plasma, are quantified by comparing trigger-normalized recoil yields in central and peripheral collisions. Such measurements with intermediate-mass beams provide unique insight into spatial and temporal aspects of jet quenching. Suppression of the recoil yield in central collisions is observed, indicating medium-induced partonic energy loss due to quenching. The ratio of recoil jet yields for small and large resolution parameter is found to be suppressed in central relative to peripheral collisions, characteristic of medium-induced intra-jet broadening. The results are compared to similar measurements in smaller and larger collision systems.

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

2 major / 2 minor

Summary. The STAR experiment reports measurements of semi-inclusive charged-particle jet yields recoiling from high-pT hadron triggers in centrality-selected Ru+Ru and Zr+Zr collisions at √s_NN=200 GeV. Jet quenching is quantified via trigger-normalized recoil yields, with suppression observed in central relative to peripheral collisions interpreted as medium-induced partonic energy loss; the ratio of yields for small versus large resolution parameter is also suppressed in central collisions, taken as evidence for medium-induced intra-jet broadening. Results are compared to measurements in smaller and larger systems.

Significance. If the central-peripheral contrast is shown to arise from medium effects rather than initial-state or analysis artifacts, the work supplies new data on jet quenching in intermediate-mass isobar systems, offering constraints on the path-length and time dependence of energy loss and broadening in the QGP at RHIC energies.

major comments (2)
  1. [§IV (Results)] §IV (Results): the attribution of recoil-yield suppression to medium-induced quenching is load-bearing for the central claim, yet the manuscript provides no quantitative estimate or dedicated comparison demonstrating that initial-state nuclear modifications (e.g., nPDF differences between Ru and Zr) are subdominant to the observed central-peripheral difference.
  2. [§III (Analysis)] §III (Analysis): the background-subtraction and underlying-event correction procedures for the semi-inclusive correlations are not shown to be free of centrality-dependent biases; without explicit tests (e.g., variation of subtraction parameters or comparison to peripheral baselines), the quenching interpretation cannot be isolated from possible analysis artifacts.
minor comments (2)
  1. Figure captions should explicitly state the pT ranges of the trigger hadrons and the resolution parameters R used for the jet reconstruction.
  2. The abstract could note the integrated luminosity or number of events analyzed to allow readers to gauge statistical precision.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful review and constructive comments. We respond to each major comment below.

read point-by-point responses
  1. Referee: [§IV (Results)] §IV (Results): the attribution of recoil-yield suppression to medium-induced quenching is load-bearing for the central claim, yet the manuscript provides no quantitative estimate or dedicated comparison demonstrating that initial-state nuclear modifications (e.g., nPDF differences between Ru and Zr) are subdominant to the observed central-peripheral difference.

    Authors: The central-peripheral comparison is performed separately within each isobar system (Ru+Ru and Zr+Zr). Nuclear PDFs are properties of the colliding nuclei and are therefore identical for central and peripheral collisions in a given system; any nPDF modifications cancel in the central-to-peripheral ratio. Differences between the Ru and Zr nPDFs are consequently irrelevant to the observed suppression. We will add an explicit clarifying statement in the revised Section IV. revision: yes

  2. Referee: [§III (Analysis)] §III (Analysis): the background-subtraction and underlying-event correction procedures for the semi-inclusive correlations are not shown to be free of centrality-dependent biases; without explicit tests (e.g., variation of subtraction parameters or comparison to peripheral baselines), the quenching interpretation cannot be isolated from possible analysis artifacts.

    Authors: We agree that explicit tests are needed to demonstrate robustness. In the revised manuscript we will add dedicated validation studies, including variation of the subtraction parameters and comparison of the corrected peripheral yields against expectations from smaller collision systems, to confirm the absence of significant centrality-dependent biases. revision: yes

Circularity Check

0 steps flagged

Direct experimental measurement report with no circular derivations

full rationale

This is an experimental paper reporting measured semi-inclusive hadron-jet yields and their central-peripheral ratios in Ru+Ru/Zr+Zr collisions. No derivations, model equations, fitted parameters renamed as predictions, or self-citation chains are present in the abstract or described analysis. The claims rest on direct data comparisons, with external benchmarks (other collision systems) providing independent context. No load-bearing steps reduce to inputs by construction.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is an experimental measurement paper. No free parameters, axioms, or invented entities are introduced in the theoretical sense; the work relies on standard detector techniques and analysis methods in heavy-ion physics.

pith-pipeline@v0.9.1-grok · 5689 in / 1074 out tokens · 24174 ms · 2026-06-28T16:22:10.866143+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

65 extracted references · 41 canonical work pages · 13 internal anchors

  1. [1]

    Heavy Ion Collisions: The Big Picture, and the Big Questions

    W. Busza, K. Rajagopal, W. van der Schee, Heavy Ion Collisions: The Big Picture, and the Big Questions, Ann. Rev. Nucl. Part. Sci. 68 (2018) 339–376.arXiv:1802.04801, doi:10.1146/annurev-nucl-101917-020852

  2. [2]

    Elfner, B

    H. Elfner, B. Müller, The exploration of hot and dense nuclear matter: introduction to relativistic heavy-ion physics, J. Phys. G 50 (10) (2023) 103001.arXiv: 2210.12056,doi:10.1088/1361-6471/ace824

  3. [3]

    J. W. Harris, B. Müller, ”QGP Signatures” Revisited, Eur. Phys. J. C 84 (3) (2024) 247.arXiv:2308.05743,doi: 10.1140/epjc/s10052-024-12533-y

  4. [4]

    D. J. Schwarz, The first second of the universe, Annalen Phys. 12 (2003) 220–270.arXiv:astro-ph/0303574, doi:10.1002/andp.200310010

  5. [5]

    Heinz, R

    U. Heinz, R. Snellings, Collective flow and viscosity in relativistic heavy-ion collisions, Ann. Rev. Nucl. Part. Sci. 8 5 10 15 20 25 30 )c (GeV/ch T,jetp 0 0.5 1 1.5 STAR = 200 GeVNNs Zr+Zr and Ru+Ru c < 25 GeV/trig Tp7 < 0-10% = 0.5R = 0.2 / R = 0.5R = 0.3 / R = 0.5R = 0.4 / R Figure 8: Distributions of recoil jet yield ratios between smallR(0.2–0.4) a...

  6. [6]

    J. Chen, Z. Chen, M. Nie, H. Qiu, S. Shi, Z. Tang, Q. Xu, C. Yang, S. Yang, Z. Ye, L. Yi, W. Zha, C. Zhang, J. Zhang, Y . Zhang, X. Zhu, Selected highlights from STAR experiment, Chin. Phys. Lett. 43 (3) (2026) 030102.doi:10.1088/0256-307X/43/3/030102

  7. [7]

    G. F. Sterman, S. Weinberg, Jets from Quantum Chro- modynamics, Phys. Rev. Lett. 39 (1977) 1436.doi: 10.1103/PhysRevLett.39.1436

  8. [8]

    G. P. Salam, Towards Jetography, Eur. Phys. J. C 67 (2010) 637–686.arXiv:0906.1833,doi:10.1140/ epjc/s10052-010-1314-6

  9. [9]

    Majumder, M

    A. Majumder, M. Van Leeuwen, The Theory and Phe- nomenology of Perturbative QCD Based Jet Quenching, Prog. Part. Nucl. Phys. 66 (2011) 41–92.arXiv:1002. 2206,doi:10.1016/j.ppnp.2010.09.001

  10. [10]

    X.-N. Wang, U. A. Wiedemann, QGP@50: More than Four Decades of Jet Quenching, 2025.arXiv:2508. 18794

  11. [12]

    Apolinário, Y .-J

    L. Apolinário, Y .-J. Lee, M. Winn, Heavy quarks and jets as probes of the QGP, Prog. Part. Nucl. Phys. 127 (2022) 103990.arXiv:2203.16352,doi:10.1016/j.ppnp. 2022.103990

  12. [13]

    K. M. Burke, et al., Extracting the jet transport coefficient from jet quenching in high-energy heavy-ion collisions, Phys. Rev. C 90 (1) (2014) 014909.arXiv:1312.5003, doi:10.1103/PhysRevC.90.014909

  13. [14]

    Ehlers, et al., Bayesian inference analy- sis of jet quenching using inclusive jet and hadron suppression measurements, Phys

    R. Ehlers, et al., Bayesian inference analy- sis of jet quenching using inclusive jet and hadron suppression measurements, Phys. Rev. C 111 (5) (2025) 054913.arXiv:2408.08247, doi:10.1103/PhysRevC.111.054913

  14. [15]

    P. Jing, Y . Dang, Y . He, S. Cao, L. Yi, X.-N. Wang, Emer- gence of thermal recoil jets in high-energy heavy-ion col- lisions (12 2025).arXiv:2512.12715

  15. [16]

    L. D. Landau, I. Pomeranchuk, Electron-Cascade Pro- cesses at Ultra-High Energies, Dokl. Akad. Nauk SSSR 92 (1965).doi:10.1016/b978-0-08-010586-4. 50081-x

  16. [17]

    A. B. Migdal, Bremsstrahlung and Pair Production at High Energies in Condensed Media, Phys. Rev. 103 (1956) 1811–1820.doi:10.1103/PhysRev.103.1811

  17. [18]

    Y . He, M. Zhang, M. Nie, S. Cao, L. Yi, Exploring sys- tem size dependence of jet modification in heavy-ion col- lisions, Phys. Rev. C 110 (3) (2024) 034902.arXiv: 2404.18115,doi:10.1103/PhysRevC.110.034902

  18. [19]

    Abelev, et al., Transverse momentum distribution and nuclear modification factor of charged particles inp- Pb collisions at √sNN =5.02 TeV, Phys

    B. Abelev, et al., Transverse momentum distribution and nuclear modification factor of charged particles inp- Pb collisions at √sNN =5.02 TeV, Phys. Rev. Lett. 110 (8) (2013) 082302.arXiv:1210.4520,doi:10. 1103/PhysRevLett.110.082302

  19. [21]

    Charged-particle nuclear modification factors in PbPb and pPb collisions at sqrt(s[NN]) = 5.02 TeV

    V . Khachatryan, et al., Charged-particle nuclear modi- fication factors in PbPb and pPb collisions at √sNN = 5.02 TeV, JHEP 04 (2017) 039.arXiv:1611.01664, doi:10.1007/JHEP04(2017)039

  20. [22]

    Abdulhamid, et al., Correlations of event activity with hard and soft processes in p+Au collisions at √sNN = 200 GeV at the RHIC STAR experiment, Phys

    M. Abdulhamid, et al., Correlations of event activity with hard and soft processes in p+Au collisions at √sNN = 200 GeV at the RHIC STAR experiment, Phys. Rev. C 110 (4) (2024) 044908.arXiv:2404.08784,doi:10. 1103/PhysRevC.110.044908

  21. [23]

    N. J. Abdulameer, et al., Disentangling Centrality Bias and Final-State Effects in the Production of High-pT Neutral Pions Using Direct Photon in d+Au Colli- sions at √sNN =200 GeV, Phys. Rev. Lett. 134 (2) (2025) 022302.arXiv:2303.12899,doi:10.1103/ PhysRevLett.134.022302

  22. [24]

    D. V . Perepelitsa, Contribution to differentialπ0 andγ dir modification in small systems from color fluctuation ef- fects, Phys. Rev. C 110 (1) (2024) L011901.arXiv: 2404.17660,doi:10.1103/PhysRevC.110.L011901. 9

  23. [25]

    Acharya, et al., Constraints on jet quenching in p-Pb collisions at √sNN =5.02 TeV measured by the event- activity dependence of semi-inclusive hadron-jet distribu- tions, Phys

    S. Acharya, et al., Constraints on jet quenching in p-Pb collisions at √sNN =5.02 TeV measured by the event- activity dependence of semi-inclusive hadron-jet distribu- tions, Phys. Lett. B 783 (2018) 95–113.arXiv:1712. 05603,doi:10.1016/j.physletb.2018.05.059

  24. [26]

    Aad, et al., Strong Constraints on Jet Quench- ing in Centrality-Dependent p+Pb Collisions at 5.02 TeV from ATLAS, Phys

    G. Aad, et al., Strong Constraints on Jet Quench- ing in Centrality-Dependent p+Pb Collisions at 5.02 TeV from ATLAS, Phys. Rev. Lett. 131 (7) (2023) 072301.arXiv:2206.01138, doi:10.1103/PhysRevLett.131.072301

  25. [27]

    Chekhovsky, et al., Search for jet quenching with di- jets from high-multiplicity pPb collisions at √sNN =8.16 TeV, JHEP 07 (2025) 118.arXiv:2504.08507,doi: 10.1007/JHEP07(2025)118

    V . Chekhovsky, et al., Search for jet quenching with di- jets from high-multiplicity pPb collisions at √sNN =8.16 TeV, JHEP 07 (2025) 118.arXiv:2504.08507,doi: 10.1007/JHEP07(2025)118

  26. [28]

    Hayrapetyan, et al., Discovery of suppressed charged- particle production in ultrarelativistic oxygen-oxygen col- lisions (2025).arXiv:2510.09864

    A. Hayrapetyan, et al., Discovery of suppressed charged- particle production in ultrarelativistic oxygen-oxygen col- lisions (2025).arXiv:2510.09864

  27. [29]

    Measurement of jet quenching in O+O collisions at√sNN =200 GeV by the STAR experiment at RHIC (2026).arXiv:2604.13935

  28. [30]

    Abdallah, et al., Search for the chiral magnetic ef- fect with isobar collisions at √sNN =200 GeV by the STAR Collaboration at the BNL Relativistic Heavy Ion Collider, Phys

    M. Abdallah, et al., Search for the chiral magnetic ef- fect with isobar collisions at √sNN =200 GeV by the STAR Collaboration at the BNL Relativistic Heavy Ion Collider, Phys. Rev. C 105 (1) (2022) 014901.arXiv: 2109.00131,doi:10.1103/PhysRevC.105.014901

  29. [31]

    J. Adam, et al., Measurement of jet quenching with semi- inclusive hadron-jet distributions in central Pb-Pb colli- sions at √sNN =2.76 TeV, JHEP 09 (2015) 170.arXiv: 1506.03984,doi:10.1007/JHEP09(2015)170

  30. [32]

    Adamczyk, et al., Measurements of jet quenching with semi-inclusive hadron+jet distributions in Au+Au collisions at √sNN =200 GeV, Phys

    L. Adamczyk, et al., Measurements of jet quenching with semi-inclusive hadron+jet distributions in Au+Au collisions at √sNN =200 GeV, Phys. Rev. C 96 (2) (2017) 024905.arXiv:1702.01108,doi:10.1103/ PhysRevC.96.024905

  31. [33]

    Acharya, et al., Measurements of inclusive jet spectra in pp and central Pb-Pb collisions at√sNN =5.02 TeV, Phys

    S. Acharya, et al., Measurements of inclusive jet spectra in pp and central Pb-Pb collisions at√sNN =5.02 TeV, Phys. Rev. C 101 (3) (2020) 034911.arXiv:1909.09718, doi:10.1103/PhysRevC.101.034911

  32. [34]

    Acharya, et al., Measurements of jet quenching us- ing semi-inclusive hadron+jet distributions in pp and cen- tral Pb-Pb collisions at √sNN =5.02 TeV, Phys

    S. Acharya, et al., Measurements of jet quenching us- ing semi-inclusive hadron+jet distributions in pp and cen- tral Pb-Pb collisions at √sNN =5.02 TeV, Phys. Rev. C 110 (1) (2024) 014906.arXiv:2308.16128,doi: 10.1103/PhysRevC.110.014906

  33. [35]

    S. Acharya, et al., Observation of Medium-Induced Yield Enhancement and Acoplanarity Broadening of Low-p T Jets from Measurements in pp and Central Pb-Pb Col- lisions at √sNN =5.02 TeV, Phys. Rev. Lett. 133 (2) (2024) 022301.arXiv:2308.16131,doi:10.1103/ PhysRevLett.133.022301

  34. [36]

    B. E. Aboona, et al., Semi-inclusive direct photon+jet and π0+jet correlations measured in p+p and central Au+Au collisions at √sNN =200 GeV, Phys. Rev. C 111 (6) (2025) 064907.arXiv:2309.00145,doi:10.1103/ 8b8y-98yh

  35. [37]

    B. E. Aboona, et al., Measurement of In-Medium Jet Modification Using Direct Photon+Jet andπ 0+Jet Correlations in p+p and Central Au+Au Collisions at √sNN =200 GeV, Phys. Rev. Lett. 134 (23) (2025) 232301.arXiv:2309.00156,doi:10.1103/ PhysRevLett.134.232301

  36. [38]

    B. E. Aboona, et al., Measurement of medium-induced acoplanarity in central Au-Au and pp collisions at √sNN =200 GeV using direct-photon+jet andπ 0+jet correla- tions, Phys. Rev. C 113 (1) (2026) 014902.arXiv: 2505.05789,doi:10.1103/k29c-d5ry

  37. [39]

    K. H. Ackermann, et al., STAR detector overview, Nucl. Instrum. Meth. A 499 (2003) 624–632.doi:10.1016/ S0168-9002(02)01960-5

  38. [40]

    Anderson, et al., The Star time projection cham- ber: A Unique tool for studying high multiplicity events at RHIC, Nucl

    M. Anderson, et al., The Star time projection cham- ber: A Unique tool for studying high multiplicity events at RHIC, Nucl. Instrum. Meth. A 499 (2003) 659–678.arXiv:nucl-ex/0301015,doi:10.1016/ S0168-9002(02)01964-2

  39. [41]

    W. J. Llope, The large-area time-of-flight upgrade for STAR, Nucl. Instrum. Meth. B 241 (2005) 306–310.doi: 10.1016/j.nimb.2005.07.089

  40. [42]

    W. J. Llope, et al., The STAR Vertex Position Detector, Nucl. Instrum. Meth. A 759 (2014) 23–28.arXiv:1403. 6855,doi:10.1016/j.nima.2014.04.080

  41. [43]

    Sampling-Based Risk-Aware Path Planning Around Dynamic Engagement Zones,

    C. Adler, A. Denisov, E. Garcia, M. Murray, H. Strobele, S. White, The RHIC zero-degree calorimeters, Nucl. In- strum. Meth. A 499 (2003) 433–436.doi:10.1016/j. nima.2003.08.112

  42. [44]

    M. L. Miller, K. Reygers, S. J. Sanders, P. Stein- berg, Glauber modeling in high energy nu- clear collisions, Ann. Rev. Nucl. Part. Sci. 57 (2007) 205–243.arXiv:nucl-ex/0701025, doi:10.1146/annurev.nucl.57.090506.123020

  43. [45]

    R. E. Kalman, A New Approach to Linear Filtering and Prediction Problems, J. Fluids Eng. 82 (1) (1960) 35–45. doi:10.1115/1.3662552

  44. [46]

    Fruhwirth, Application of Kalman filtering to track and vertex fitting, Nucl

    R. Fruhwirth, Application of Kalman filtering to track and vertex fitting, Nucl. Instrum. Meth. A 262 (1987) 444– 450.doi:10.1016/0168-9002(87)90887-4

  45. [47]

    Catani, Y

    S. Catani, Y . L. Dokshitzer, M. H. Seymour, B. R. Web- ber, Longitudinally invariantK t clustering algorithms for hadron hadron collisions, Nucl. Phys. B 406 (1993) 187– 224.doi:10.1016/0550-3213(93)90166-M. 10

  46. [48]

    Dispelling the N^3 myth for the Kt jet-finder

    M. Cacciari, G. P. Salam, Dispelling theN 3 myth for the kt jet-finder, Phys. Lett. B 641 (2006) 57–61.arXiv: hep-ph/0512210,doi:10.1016/j.physletb.2006. 08.037

  47. [49]

    FastJet user manual

    M. Cacciari, G. P. Salam, G. Soyez, FastJet User Manual, Eur. Phys. J. C 72 (2012) 1896.arXiv:1111.6097,doi: 10.1140/epjc/s10052-012-1896-2

  48. [50]

    Cacciari, G

    M. Cacciari, G. P. Salam, Pileup subtraction using jet ar- eas, Phys. Lett. B 659 (2008) 119–126.arXiv:0707. 1378,doi:10.1016/j.physletb.2007.09.077

  49. [51]

    The anti-k_t jet clustering algorithm

    M. Cacciari, G. P. Salam, G. Soyez, The anti-kt jet cluster- ing algorithm, JHEP 04 (2008) 063.arXiv:0802.1189, doi:10.1088/1126-6708/2008/04/063

  50. [52]

    Jet Reconstruction in Heavy Ion Collisions

    M. Cacciari, J. Rojo, G. P. Salam, G. Soyez, Jet Re- construction in Heavy Ion Collisions, Eur. Phys. J. C 71 (2011) 1539.arXiv:1010.1759,doi:10.1140/epjc/ s10052-011-1539-z

  51. [53]

    Brenner, R

    L. Brenner, R. Balasubramanian, C. Burgard, W. Verk- erke, G. Cowan, P. Verschuuren, V . Croft, Comparison of unfolding methods using RooFitUnfold, Int. J. Mod. Phys. A 35 (24) (2020) 2050145.arXiv:1910.14654, doi:10.1142/S0217751X20501456

  52. [54]

    J. K. Adkins, Studying Transverse Momentum Depen- dent Distributions in Polarized Proton Collisions via Az- imuthal Single Spin Asymmetries of Charged Pions in Jets, Ph.D. thesis, Kentucky U. (2015).arXiv:1907. 11233

  53. [55]

    D’Agostini, A Multidimensional unfolding method based on Bayes’ theorem, Nucl

    G. D’Agostini, A Multidimensional unfolding method based on Bayes’ theorem, Nucl. Instrum. Meth. A 362 (1995) 487–498.doi:10.1016/0168-9002(95) 00274-X

  54. [56]

    RooUnfold, Root Unfolding Framework,https:// gitlab.cern.ch/RooUnfold/RooUnfold

  55. [57]

    Dang, W.-J

    Y . Dang, W.-J. Xing, S. Cao, G.-Y . Qin, Improved linear Boltzmann transport model for hadron and jet suppression in ultra-relativistic heavy-ion collisions (2 2026).arXiv: 2602.10395

  56. [58]

    P. Jing, S. Cao, Private communication (2026)

  57. [59]

    Baier, Jet quenching, Nucl

    R. Baier, Jet quenching, Nucl. Phys. A 715 (2003) 209–218.arXiv:hep-ph/0209038,doi:10.1016/ S0375-9474(02)01429-X

  58. [60]

    Leading-particle suppression in high energy nucleus-nucleus collisions

    A. Dainese, C. Loizides, G. Paic, Leading-particle sup- pression in high energy nucleus-nucleus collisions, Eur. Phys. J. C 38 (2005) 461–474.arXiv:hep-ph/0406201, doi:10.1140/epjc/s2004-02077-x

  59. [61]

    Renk, Highp T hadrons as probes of the central region of Au-Au collisions at √sNN =200 GeV, Phys

    T. Renk, Highp T hadrons as probes of the central region of Au-Au collisions at √sNN =200 GeV, Phys. Rev. C 74 (2006) 024903.arXiv:hep-ph/0602045,doi:10. 1103/PhysRevC.74.024903

  60. [62]

    Dihadron Tomography of High-Energy Nuclear Collisions in NLO pQCD

    H. Zhang, J. F. Owens, E. Wang, X.-N. Wang, Dihadron tomography of high-energy nuclear collisions in NLO pQCD, Phys. Rev. Lett. 98 (2007) 212301.arXiv: nucl-th/0701045,doi:10.1103/PhysRevLett.98. 212301

  61. [63]

    S. Cao, T. Luo, G.-Y . Qin, X.-N. Wang, Linearized Boltz- mann transport model for jet propagation in the quark- gluon plasma: Heavy quark evolution, Phys. Rev. C 94 (1) (2016) 014909.arXiv:1605.06447,doi:10.1103/ PhysRevC.94.014909

  62. [64]

    T. Luo, Y . He, S. Cao, X.-N. Wang, Linear Boltzmann transport for jet propagation in the quark-gluon plasma: Inelastic processes and jet modification, Phys. Rev. C 109 (3) (2024) 034919.arXiv:2306.13742,doi:10. 1103/PhysRevC.109.034919

  63. [65]

    Y . He, M. Nie, S. Cao, R. Ma, L. Yi, H. Caines, De- ciphering yield modification of hadron-triggered semi- inclusive recoil jets in heavy-ion collisions, Phys. Lett. B 854 (2024) 138739.arXiv:2401.05238,doi:10. 1016/j.physletb.2024.138739

  64. [66]

    Zhang, Y

    M. Zhang, Y . He, S. Cao, L. Yi, Effects of the forma- tion time of parton shower on jet quenching in heavy-ion collisions, Chin. Phys. C 47 (2) (2023) 024106.arXiv: 2208.13331,doi:10.1088/1674-1137/aca4c1

  65. [67]

    Jet-like Correlations with Direct-Photon and Neutral-Pion Triggers at $\sqrt{s_{_{NN}}} = 200$ GeV

    L. Adamczyk, et al., Jet-like Correlations with Direct- Photon and Neutral-Pion Triggers at √sNN =200 GeV, Phys. Lett. B 760 (2016) 689–696.arXiv:1604.01117, doi:10.1016/j.physletb.2016.07.046. 11