- Open Access
Simulation-based study of jet substructure of light- and heavy-flavor jets in collisions at 200 GeV
Phys. Rev. C 114, 024908 – Published 17 August, 2026
DOI: https://doi.org/10.1103/zh98-jf1w
Abstract
Jet substructure studies at the CERN Large Hadron Collider have been used to constrain parton distribution functions, test perturbative quantum chromodynamics, measure the strong-coupling constant, and probe the properties of the quark-gluon plasma. We extend these studies to lower collision energies at the BNL Relativistic Heavy Ion Collider (RHIC) and present a feasibility and strategy study for the sPHENIX experiment. In this work, we perform a based Monte Carlo study of jet substructure in collisions at GeV with selection criteria adapted for a realistic measurement at sPHENIX. We consider jet substructure observables such as jet angularities and the primary Lund plane projection. In particular, we quantify the discriminating power of jet angularities for quark/gluon and light versus heavy flavor jets, and demonstrate how these observables can serve as experimentally accessible proxies for flavor separation at RHIC. We further show that the primary Lund plane exhibits a characteristic suppression pattern consistent with the dead cone effect for heavy quarks, and outline a concrete measurement strategy at sPHENIX based on a combination of heavy-flavor jet tagging and differential substructure observables.
Physics Subject Headings (PhySH)
Article Text
References (160)
- D. Britzger, K. Rabbertz, D. Savoiu, G. Sieber, and M. Wobisch, Determination of the strong coupling constant using inclusive jet cross section data from multiple experiments, Eur. Phys. J. C 79, 68 (2019).
- S. Chatrchyan et al. (CMS Collaboration), Measurement of the ratio of the inclusive 3-jet cross section to the inclusive 2-jet cross section in pp collisions at and first determination of the strong coupling constant in the TeV range, Eur. Phys. J. C 73, 2604 (2013).
- M. Aaboud et al. (ATLAS Collaboration), Determination of the strong coupling constant from transverse energy–energy correlations in multijet events at using the ATLAS detector, Eur. Phys. J. C 77, 872 (2017).
- G. Aad et al. (ATLAS Collaboration), Measurement of transverse energy–energy correlations in multi-jet events in pp collisions at using the ATLAS detector and determination of the strong coupling constant , Phys. Lett. B 750, 427 (2015).
- V. Khachatryan et al. (CMS Collaboration), Measurement of the inclusive 3-jet production differential cross section in proton–proton collisions at 7 TeV and determination of the strong coupling constant in the TeV range, Eur. Phys. J. C 75, 186 (2015).
- G. Aad et al. (ATLAS Collaboration), Determination of the parton distribution functions of the proton from ATLAS measurements of differential and Z boson production in association with jets, J. High Energy Phys. 07 (2021) 223.
- G. Aad et al. (ATLAS Collaboration), Measurement of the inclusive jet cross-section in pp collisions at and comparison to the inclusive jet cross-section at using the ATLAS detector, Eur. Phys. J. C 73, 2509 (2013).
- V. Khachatryan et al. (CMS Collaboration), Constraints on parton distribution functions and extraction of the strong coupling constant from the inclusive jet cross section in pp collisions at , Eur. Phys. J. C 75, 288 (2015).
- V. Khachatryan et al. (CMS Collaboration), Measurement and QCD analysis of double-differential inclusive jet cross sections in pp collisions at TeV and cross section ratios to 2.76 and 7 TeV, J. High Energy Phys. 03 (2017) 156.
- R. A. Khalek et al., Phenomenology of NNLO jet production at the LHC and its impact on parton distributions, Eur. Phys. J. C 80, 797 (2020).
- L. A. Harland-Lang, A. D. Martin, and R. S. Thorne, The impact of LHC jet data on the MMHT PDF fit at NNLO, Eur. Phys. J. C 78, 248 (2018).
- J. Pumplin, J. Huston, H. L. Lai, P. M. Nadolsky, W.-K. Tung, and C. P. Yuan, Collider inclusive jet data and the gluon distribution, Phys. Rev. D 80, 014019 (2009).
- B. J. A. Watt, P. Motylinski, and R. S. Thorne, The effect of LHC jet data on MSTW PDFs, Eur. Phys. J. C 74, 2934 (2014).
- A. Tumasyan et al. (CMS Collaboration), Study of quark and gluon jet substructure in and dijet events from pp collisions, J. High Energy Phys. 01 (2022) 188.
- S. Acharya et al. (ALICE Collaboration), Measurements of the groomed and ungroomed jet angularities in pp collisions at , J. High Energy Phys. 05 (2022) 061.
- D. E. Soper and M. Spannowsky, Combining subjet algorithms to enhance ZH detection at the LHC, J. High Energy Phys. 08 (2010) 029.
- R. M. Godbole, D. J. Miller, K. A. Mohan, and C. D. White, Jet substructure and probes of CP violation in Vh production, J. High Energy Phys. 04 (2015) 103.
- N. Chen, J. Li, Y. Liu, and Z. Liu, LHC searches for the -odd Higgs boson with a jet substructure analysis, Phys. Rev. D 91, 075002 (2015).
- D. Adams et al., Towards an understanding of the correlations in jet substructure, Eur. Phys. J. C 75, 409 (2015).
- A. J. Larkoski, I. Moult, and B. Nachman, Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning, Phys. Rep. 841, 1 (2020).
- A. Butter et al., How to GAN LHC events, SciPost Phys. 7, 075 (2019).
- L. Benato, P. L. S. Connor, G. Kasieczka, D. Krücker, and M. Meyer, Teaching machine learning with an application in collider particle physics, JINST 15, C09011 (2020).
- O. Fedkevych, C. K. Khosa, S. Marzani, and F. Sforza, Identification of jets using QCD-inspired observables, Phys. Rev. D 107, 034032 (2023).
- S. Caletti, O. Fedkevych, S. Marzani, and D. Reichelt, Tagging the initial-state gluon, Eur. Phys. J. C 81, 844 (2021).
- F. A. Dreyer, G. Soyez, and A. Takacs, Quarks and gluons in the Lund plane, J. High Energy Phys. 08 (2022) 177.
- L. Cavallini, A. Coccaro, C. K. Khosa, G. Manco, S. Marzani, F. Parodi, D. Rebuzzi, A. Rescia, and G. Stagnitto, Tagging the Higgs boson decay to bottom quarks with colour-sensitive observables and the Lund jet plane, Eur. Phys. J. C 82, 493 (2022).
- C. K. Khosa and S. Marzani, Higgs boson tagging with the Lund jet plane, Phys. Rev. D 104, 055043 (2021).
- F. A. Dreyer and H. Qu, Jet tagging in the Lund plane with graph networks, J. High Energy Phys. 03 (2021) 052.
- P. Baroň, M. H. Seymour, and A. Siódmok, Novel approach to measure quark/gluon jets at the LHC, Eur. Phys. J. C 84, 28 (2024).
- A. J. Larkoski, QCD masterclass lectures on jet physics and machine learning, Eur. Phys. J. C 84, 1117 (2024).
- A. J. Larkoski, G. P. Salam, and J. Thaler, Energy correlation functions for jet substructure, J. High Energy Phys. 06 (2013) 108.
- P. Gras, S. Höche, D. Kar, A. Larkoski, L. Lönnblad, S. Plätzer, A. Siódmok, P. Skands, G. Soyez, and J. Thaler, Systematics of quark/gluon tagging, J. High Energy Phys. 07 (2017) 091.
- K. Lapidus and M. H. Oliver, Hard substructure of quenched jets: A Monte Carlo study, arXiv:1711.00897.
- K. C. Zapp, Jet energy loss and equilibration, Nucl. Phys. A 967, 81 (2017).
- K. Tywoniuk and Y. Mehtar-Tani, Measuring medium-induced gluons via jet grooming, Nucl. Phys. A 967, 520 (2017).
- J. Casalderrey-Solana, Y. Mehtar-Tani, C. A. Salgado, and K. Tywoniuk, Probing jet decoherence in heavy ion collisions, Nucl. Phys. A 967, 564 (2017).
- J. Casalderrey-Solana, G. Milhano, D. Pablos, and K. Rajagopal, Modification of jet substructure in heavy ion collisions as a probe of the resolution length of quark-gluon plasma, J. High Energy Phys. 01 (2020) 044.
- M. L. Mangano and B. Nachman, Observables for possible QGP signatures in central pp collisions, Eur. Phys. J. C 78, 343 (2018).
- G.-Y. Qin, Modification of jet rate, shape and structure: Model and phenomenology, Nucl. Part. Phys. Proc. 289-290, 47 (2017).
- G. Milhano, U. A. Wiedemann, and K. C. Zapp, Sensitivity of jet substructure to jet-induced medium response, Phys. Lett. B 779, 409 (2018).
- N.-B. Chang, S. Cao, and G.-Y. Qin, Probing medium-induced jet splitting and energy loss in heavy-ion collisions, Phys. Lett. B 781, 423 (2018).
- R. Kunnawalkam Elayavalli and K. C. Zapp, Medium response in JEWEL and its impact on jet shape observables in heavy ion collisions, J. High Energy Phys. 07 (2017) 141.
- P. Caucal, E. Iancu, and G. Soyez, Deciphering the distribution in ultrarelativistic heavy ion collisions, J. High Energy Phys. 10 (2019) 273.
- P. Caucal, E. Iancu, and G. Soyez, Jet radiation in a longitudinally expanding medium, J. High Energy Phys. 04 (2021) 209.
- P. Caucal, A. Soto-Ontoso, and A. Takacs, Dynamically groomed jet radius in heavy-ion collisions, Phys. Rev. D 105, 114046 (2022).
- L. Cunqueiro, D. Pablos, A. Soto-Ontoso, M. Spousta, A. Takacs, and M. Verweij, Isolating perturbative QCD splittings in heavy-ion collisions, Phys. Rev. D 110, 014015 (2024).
- Y.-T. Chien, O. Fedkevych, D. Reichelt, and S. Schumann, Jet angularities in dijet production in proton-proton and heavy-ion collisions at RHIC, J. High Energy Phys. 07 (2024) 230.
- J. Brewer, J. Thaler, and A. P. Turner, Data-driven quark- and gluon-jet modification in heavy-ion collisions, Phys. Rev. C 103, L021901 (2021).
- S. Marzani, G. Soyez, and M. Spannowsky, Looking Inside Jets: An Introduction to Jet Substructure and Boosted-Object Phenomenology, Lecture Notes in Physics (Springer, Cham, 2019), Vol. 958.
- L. Apolinário, Y.-T. Chien, and L. Cunqueiro Mendez, Jet substructure, Int. J. Mod. Phys. E 33, 2430003 (2024).
- S. Acharya et al. (ALICE Collaboration), First measurement of jet mass in Pb–Pb and p–Pb collisions at the LHC, Phys. Lett. B 776, 249 (2018).
- S. Acharya et al. (ALICE Collaboration), Medium modification of the shape of small-radius jets in central Pb-Pb collisions at TeV, J. High Energy Phys. 10 (2018) 139.
- V. Khachatryan et al. (CMS Collaboration), Dijet azimuthal decorrelations in collisions at , Phys. Rev. Lett. 106, 122003 (2011).
- S. Chatrchyan et al. (CMS Collaboration), Modification of jet shapes in Pb–Pb collisions at , Phys. Lett. B 730, 243 (2014).
- S. Chatrchyan et al. (CMS Collaboration), Studies of jet mass in dijet and W/Z + jet events, J. High Energy Phys. 05 (2013) 090.
- S. Chatrchyan et al. (CMS Collaboration), Event shapes and azimuthal correlations in events in pp collisions at , Phys. Lett. B 722, 238 (2013).
- S. Chatrchyan et al. (CMS Collaboration), Studies of dijet transverse momentum balance and pseudorapidity distributions in pPb collisions at , Eur. Phys. J. C 74, 2951 (2014).
- V. Khachatryan et al. (CMS Collaboration), Measurements of differential production cross sections for a Z boson in association with jets in pp collisions at TeV, J. High Energy Phys. 04 (2017) 022.
- A. M. Sirunyan et al. (CMS Collaboration), Study of jet quenching with correlations in Pb-Pb and collisions at , Phys. Rev. Lett. 119, 082301 (2017).
- A. M. Sirunyan et al. (CMS Collaboration), Measurement of the jet mass in highly boosted events from pp collisions at , Eur. Phys. J. C 77, 467 (2017).
- A. M. Sirunyan et al. (CMS Collaboration), Observation of medium-induced modifications of jet fragmentation in Pb-Pb collisions at using isolated photon-tagged jets, Phys. Rev. Lett. 121, 242301 (2018).
- A. M. Sirunyan et al. (CMS Collaboration), Measurement of the groomed jet mass in PbPb and pp collisions at TeV, J. High Energy Phys. 10 (2018) 161.
- A. M. Sirunyan et al. (CMS Collaboration), Measurements of the differential jet cross section as a function of the jet mass in dijet events from proton-proton collisions at TeV, J. High Energy Phys. 11 (2018) 113.
- A. M. Sirunyan et al. (CMS Collaboration), Measurement of jet substructure observables in events from proton-proton collisions at , Phys. Rev. D 98, 092014 (2018).
- A. M. Sirunyan et al. (CMS Collaboration), Measurement of the jet mass distribution and top quark mass in hadronic decays of boosted top quarks in collisions at , Phys. Rev. Lett. 124, 202001 (2020).
- G. Aad et al. (ATLAS Collaboration), Measurement of dijet azimuthal decorrelations in collisions at , Phys. Rev. Lett. 106, 172002 (2011).
- G. Aad et al. (ATLAS Collaboration), ATLAS measurements of the properties of jets for boosted particle searches, Phys. Rev. D 86, 072006 (2012).
- G. Aad et al. (ATLAS Collaboration), Jet mass and substructure of inclusive jets in pp collisions with the ATLAS experiment, J. High Energy Phys. 05 (2012) 128.
- G. Aad et al. (ATLAS Collaboration), Measurements of jet vetoes and azimuthal decorrelations in dijet events produced in collisions at using the ATLAS detector, Eur. Phys. J. C 74, 3117 (2014).
- M. Aaboud et al. (ATLAS Collaboration), Measurement of jet fragmentation in and pp collisions at TeV with the ATLAS detector at the LHC, Eur. Phys. J. C 77, 379 (2017).
- M. Aaboud et al. (ATLAS Collaboration), Measurement of the soft-drop jet mass in collisions at with the ATLAS detector, Phys. Rev. Lett. 121, 092001 (2018).
- M. Aaboud et al. (ATLAS Collaboration), Measurement of the cross section for isolated-photon plus jet production in pp collisions at TeV using the ATLAS detector, Phys. Lett. B 780, 578 (2018).
- ATLAS Collaboration, Measurement of jet mass in Pb+Pb and pp collisions at TeV with the ATLAS detector, Report No. ATLAS-CONF-2018-014 (CERN, Geneva, 2018).
- G. Aad et al. (ATLAS Collaboration), Measurement of the jet mass in high transverse momentum production at using the ATLAS detector, Phys. Lett. B 812, 135991 (2021).
- G. Aad et al. (ATLAS Collaboration), Measurement of soft-drop jet observables in collisions with the ATLAS detector at , Phys. Rev. D 101, 052007 (2020).
- K. Kauder (STAR Collaboration), Measurement of the shared momentum fraction z g using jet reconstruction in and collisions with STAR, Nucl. Phys. A 967, 516 (2017).
- J. Adam et al. (STAR Collaboration), Measurement of groomed jet substructure observables in collisions at GeV with STAR, Phys. Lett. B 811, 135846 (2020).
- M. Abdallah et al. (STAR Collaboration), Invariant jet mass measurements in collisions at at RHIC, Phys. Rev. D 104, 052007 (2021).
- M. Connors, C. Nattrass, R. Reed, and S. Salur, Jet measurements in heavy ion physics, Rev. Mod. Phys. 90, 025005 (2018).
- N. J. Abdulameer et al. (PHENIX Collaboration), Measurement of inclusive jet cross section and substructure in collisions at , Phys. Rev. D 111, 112008 (2025).
- B. E. Aboona et al. (STAR Collaboration), Measurement of two-point energy correlators within jets in collisions at , Phys. Rev. Lett. 135, 111901 (2025).
- M. S. Abdallah et al. (STAR Collaboration), Differential measurements of jet substructure and partonic energy loss in collisions at GeV, Phys. Rev. C 105, 044906 (2022).
- C. F. Berger, T. Kucs, and G. F. Sterman, Event shape–energy flow correlations, Phys. Rev. D 68, 014012 (2003).
- L. G. Almeida, S. J. Lee, G. Perez, G. F. Sterman, I. Sung, and J. Virzi, Substructure of high- jets at the LHC, Phys. Rev. D 79, 074017 (2009).
- A. J. Larkoski, J. Thaler, and W. J. Waalewijn, Gaining (mutual) information about quark/gluon discrimination, J. High Energy Phys. 11 (2014) 129.
- B. Andersson, G. Gustafson, L. Lonnblad, and U. Pettersson, Coherence effects in deep inelastic scattering, Z. Phys. C 43, 625 (1989).
- F. A. Dreyer, G. P. Salam, and G. Soyez, The Lund jet plane, J. High Energy Phys. 12 (2018) 064.
- D. Reichelt, S. Caletti, O. Fedkevych, S. Marzani, S. Schumann, and G. Soyez, Phenomenology of jet angularities at the LHC, J. High Energy Phys. 03 (2022) 131.
- S. Caletti, O. Fedkevych, S. Marzani, D. Reichelt, S. Schumann, G. Soyez, and V. Theeuwes, Jet angularities in production at the LHC, J. High Energy Phys. 07 (2021) 076.
- G. Aad et al. (ATLAS Collaboration), Measurement of the Lund jet plane using charged particles in 13 TeV proton-proton collisions with the ATLAS detector, Phys. Rev. Lett. 124, 222002 (2020).
- R. Aaij et al. (LHCb Collaboration), Measurement of the Lund plane for light- and beauty-quark jets, Phys. Rev. D 112, 072015 (2025).
- CMS Collaboration, Evidence of the dead-cone effect in bottom quark initiated jets, Report No. CMS-PAS-SMP-25-008 (CERN, Geneva, 2026).
- CMS Collaboration, Probing early parton emissions in heavy ion collisions using the Lund jet plane, CMS-HIN-24-016; CERN-EP-2025-260, arXiv:2602.09271.
- C. Aidala et al., sPHENIX: An upgrade concept from the PHENIX collaboration, arXiv:1207.6378.
- Y. L. Dokshitzer, V. A. Khoze, and S. I. Troian, On specific QCD properties of heavy quark fragmentation ('dead cone'), J. Phys. G: Nucl. Part. Phys. 17, 1602 (1991).
- Y. L. Dokshitzer, V. A. Khoze, and S. I. Troian, Specific features of heavy quark production: Local parton-hadron duality approach to heavy particle spectra, Phys. Rev. D 53, 89 (1996).
- C. Lee, P. Shrivastava, and V. Vaidya, Predictions for energy correlators probing substructure of groomed heavy quark jets, J. High Energy Phys. 09 (2019) 045.
- V. Vaidya, Effective field theory for jet substructure in heavy ion collisions, J. High Energy Phys. 11 (2021) 064.
- L. Cunqueiro, D. Napoletano, and A. Soto-Ontoso, Dead-cone searches in heavy-ion collisions using the jet tree, Phys. Rev. D 107, 094008 (2023).
- E. Craft, K. Lee, B. Meçaj, and I. Moult, Beautiful and charming energy correlators, Phys. Rev. D 114, L031501 (2026).
- L. Apolinário, Y.-J. Lee, and M. Winn, Heavy quarks and jets as probes of the QGP, Prog. Part. Nucl. Phys. 127, 103990 (2022).
- C. Andres, F. Dominguez, J. Holguin, C. Marquet, and I. Moult, Seeing beauty in the quark-gluon plasma with energy correlators, Phys. Rev. D 110, L031503 (2024).
- S. Caletti, A. Ghira, and S. Marzani, On heavy-flavour jets with soft drop, Eur. Phys. J. C 84, 212 (2024).
- A. Ghira, S. Marzani, and G. Ridolfi, A consistent resummation of mass and soft logarithms in processes with heavy flavours, J. High Energy Phys. 11 (2023) 120.
- P. K. Dhani, O. Fedkevych, and A. Ghira, Heavy flavor jet substructure at lepton colliders, Phys. Rev. D 112, 054004 (2025).
- D. Gaggero, A. Ghira, S. Marzani, and G. Ridolfi, Soft logarithms in processes with heavy quarks, J. High Energy Phys. 09 (2022) 058.
- S. Wang, W. Dai, E. Wang, X.-N. Wang, and B.-W. Zhang, Heavy-flavour jets in high-energy nuclear collisions, Symmetry 15, 727 (2023).
- Q. Zhang, Z.-X. Xu, W. Dai, B.-W. Zhang, and E. Wang, Substructures of heavy flavor jets in and PbPb collisions at , arXiv:2303.08620.
- P. K. Dhani, O. Fedkevych, A. Ghira, S. Marzani, and G. Soyez, Heavy flavour jet substructure, J. High Energy Phys. 02 (2025) 046.
- C.-H. Jiang, H. T. Li, S.-Y. Li, and Z.-G. Si, Mass suppression effect in QCD radiation and hadron angular distribution in jet*, Chin. Phys. C 48, 063101 (2024).
- A. Dainese, Unveiling the QCD dead-cone effect at the LHC and its role on energy loss in the quark-gluon plasma, Nucl. Phys. News 34, 17 (2024).
- U. G. Aglietti and G. Ferrera, Heavy quark mass effects in the energy-energy correlation in the back-to-back region, Eur. Phys. J. C 85, 272 (2025).
- A. Ghira, S. Marzani, and G. Soyez, The Lund -jet plane, J. High Energy Phys. 05 (2026) 247.
- A. Ghira, L. Mai, and S. Marzani, Bridging massive and massless schemes for soft gluon resummation in heavy-flavour production in collisions, Eur. Phys. J. C 85, 294 (2025).
- CMS Collaboration, Exploring small-angle emissions in charm quark jets in proton-proton collisions at , J. High Energy Phys. 05 (2026) 176.
- S. Acharya et al. (ALICE Collaboration), Measurements of groomed-jet substructure of charm jets tagged by mesons in proton-proton collisions at , Phys. Rev. Lett. 131, 192301 (2023).
- CMS Collaboration, Jet fragmentation function and groomed substructure of bottom quark jets in proton-proton collisions at 5.02 TeV, J. High Energy Phys. 04 (2026) 147.
- ALICE Collaboration, Direct observation of the dead-cone effect in quantum chromodynamics, Nature (London) 605, 440 (2022); Publisher Correction, ibid. 607, E22 (2022).
- L. Cunqueiro and M. Płoskoń, Searching for the dead cone effects with iterative declustering of heavy-flavor jets, Phys. Rev. D 99, 074027 (2019).
- P. Abreu et al. (DELPHI Collaboration), A measurement of meson production and lifetime using events in decays, Z. Phys. C 57, 181 (1993).
- R. Akers et al. (OPAL Collaboration), A measurement of the production of mesons on the Z0 resonance, Z. Phys. C 67, 27 (1995).
- G. Alexander et al. (OPAL Collaboration), A study of b quark fragmentation into and mesons at LEP, Phys. Lett. B 364, 93 (1995).
- K. Abe et al. (SLD Collaboration), Precise measurement of the -quark fragmentation function in boson decays, Phys. Rev. Lett. 84, 4300 (2000).
- P. Abreu et al. (DELPHI Collaboration), Hadronization properties of b quarks compared to light quarks in from 183 to 200 GeV, Phys. Lett. B 479, 118 (2000); 492, 398(E) (2000).
- A. Heister et al. (ALEPH Collaboration), Study of the fragmentation of b quarks into B mesons at the Z peak, Phys. Lett. B 512, 30 (2001).
- G. Aad et al. (ATLAS Collaboration), Measurement of jet shapes in top-quark pair events at using the ATLAS detector, Eur. Phys. J. C 73, 2676 (2013).
- ALICE Collaboration, Physics Preliminary Summary: Measurement of the primary Lund plane density in pp collisions at TeV with ALICE, Technical Report No. ALICE-PUBLIC-2021-002 (CERN, Geneva, Switzerland, 2021).
- T. Sjöstrand, S. Ask, J. R. Christiansen, R. Corke, N. Desai, P. Ilten, S. Mrenna, S. Prestel, C. O. Rasmussen, and P. Z. Skands, An introduction to PYTHIA 8.2, Comput. Phys. Commun. 191, 159 (2015).
- C. Bierlich et al., A comprehensive guide to the physics and usage of PYTHIA 8.3, SciPost Phys. Codebases 2022, 8 (2022).
- M. R. Aguilar, Z. Chang, R. K. Elayavalli, R. Fatemi, Y. He, Y. Ji, D. Kalinkin, M. Kelsey, I. Mooney, and V. Verkest, pythia8 underlying event tune for RHIC energies, Phys. Rev. D 105, 016011 (2022).
- R. D. Ball et al. (NNPDF Collaboration), Parton distributions from high-precision collider data, Eur. Phys. J. C 77, 663 (2017).
- H. Okawa (sPHENIX Collaboration), Status and performance of sPHENIX experiment, EPJ Web Conf. 276, 05004 (2023).
- M. Cacciari, G. P. Salam, and G. Soyez, The anti- jet clustering algorithm, J. High Energy Phys. 04 (2008) 063.
- M. Cacciari, G. P. Salam, and G. Soyez, FastJet user manual, Eur. Phys. J. C 72, 1896 (2012).
- S. Marzani, L. Schunk, and G. Soyez, A study of jet mass distributions with grooming, J. High Energy Phys. 07 (2017) 132.
- A. J. Larkoski, S. Marzani, G. Soyez, and J. Thaler, Soft drop, J. High Energy Phys. 05 (2014) 146.
- Y. L. Dokshitzer, G. D. Leder, S. Moretti, and B. R. Webber, Better jet clustering algorithms, J. High Energy Phys. 08 (1997) 001.
- M. Wobisch and T. Wengler, Hadronization corrections to jet cross sections in deep-inelastic scattering, arXiv:hep-ph/9907280.
- J. R. Andersen et al., Les Houches 2015: Physics at TeV colliders standard model working group report, arXiv:1605.04692.
- A. Banfi, G. P. Salam, and G. Zanderighi, Principles of general final-state resummation and automated implementation, J. High Energy Phys. 03 (2005) 073.
- A. J. Larkoski, D. Neill, and J. Thaler, Jet shapes with the broadening axis, J. High Energy Phys. 04 (2014) 017.
- R. Akers et al. (OPAL Collaboration), A model independent measurement of quark and gluon jet properties and differences, Z. Phys. C 68, 179 (1995).
- P. Abreu et al. (DELPHI Collaboration), Energy dependence of the differences between the quark and gluon jet fragmentation, Z. Phys. C 70, 179 (1996).
- K. Ackerstaff et al. (OPAL Collaboration), Production of and in quark and gluon jets from decay, Eur. Phys. J. C 8, 241 (1999).
- R. K. Ellis, W. J. Stirling, and B. R. Webber, QCD and Collider Physics (Cambridge University Press, Cambridge, 2011), Vol. 8.
- S. Catani, S. Dittmaier, and Z. Trocsanyi, One-loop singular behaviour of QCD and SUSY QCD amplitudes with massive partons, Phys. Lett. B 500, 149 (2001).
- S. Catani, S. Dittmaier, M. H. Seymour, and Z. Trocsanyi, The dipole formalism for next-to-leading order QCD calculations with massive partons, Nucl. Phys. B 627, 189 (2002).
- P. K. Dhani, G. Rodrigo, and G. F. R. Sborlini, Triple-collinear splittings with massive particles, J. High Energy Phys. 12 (2023) 188.
- E. Craft, M. Gonzalez, K. Lee, B. Mecaj, and I. Moult, The massive splitting functions from QCD factorization and SCET, J. High Energy Phys. 07 (2024) 080.
- F. Maltoni, M. Selvaggi, and J. Thaler, Exposing the dead cone effect with jet substructure techniques, Phys. Rev. D 94, 054015 (2016).
- J. Llorente and J. Cantero, Determination of the b-quark mass from the angular screening effects in the ATLAS b-jet shape data, Nucl. Phys. B 889, 401 (2014).
- H. T. Li and I. Vitev, Inverting the mass hierarchy of jet quenching effects with prompt b-jet substructure, Phys. Lett. B 793, 259 (2019).
- H. T. Li, Z. L. Liu, and I. Vitev, Heavy flavor jet production and substructure in electron-nucleus collisions, Phys. Lett. B 827, 137007 (2022).
- B. Blok and C. Wu, distribution for heavy flavor jets in dense quark-gluon plasma, Phys. Rev. D 111, 074009 (2025).
- S. Wang, S. Li, Y. Li, B.-W. Zhang, and E. Wang, Probing the mass effect of heavy quark jets in high-energy nuclear collisions, Chinese Phys. C 49, 064101 (2025).
- E. Norrbin and T. Sjostrand, QCD radiation off heavy particles, Nucl. Phys. B 603, 297 (2001).
- S. Gieseke, P. Stephens, and B. Webber, New formalism for QCD parton showers, J. High Energy Phys. 12 (2003) 045.
- A. H. Hoang, S. Plätzer, and D. Samitz, On the cutoff dependence of the quark mass parameter in angular ordered parton showers, J. High Energy Phys. 10 (2018) 200.
- K. Cormier, S. Plätzer, C. Reuschle, P. Richardson, and S. Webster, Parton showers and matching uncertainties in top quark pair production with Herwig 7, Eur. Phys. J. C 79, 915 (2019).
- S. Schumann and F. Krauss, A parton shower algorithm based on Catani-Seymour dipole factorisation, J. High Energy Phys. 03 (2008) 038.