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arxiv: 2507.16613 · v1 · submitted 2025-07-22 · ⚛️ nucl-th · astro-ph.HE· nucl-ex

Alpha clustering in warm and dense nuclear matter from heavy-ion collisions

Pith reviewed 2026-05-19 03:13 UTC · model grok-4.3

classification ⚛️ nucl-th astro-ph.HEnucl-ex
keywords alpha clusteringwarm dense nuclear matterheavy-ion collisionsMott effectlight nuclear clustersnuclear equation of statesupernovaeneutron star mergers
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The pith

Heavy-ion collision data show unexpectedly abundant alpha clustering in warm dense nuclear matter.

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

The authors analyze light-nuclei yields from central gold-gold collisions at 0.25 to 0.6 GeV per nucleon to determine how alpha particles behave inside the transiently formed warm and dense matter. They employ a kinetic transport model that follows the ongoing formation and breakup of clusters, allowing them to extract both the in-medium alpha fraction and the strength of the Mott effect that dissolves clusters at high density. The extracted alpha fraction turns out far higher than prior expectations for this regime. If the mapping from final yields to interior conditions holds, models of the nuclear equation of state must incorporate substantial light-cluster contributions even at densities above normal nuclear density and temperatures of several tens of MeV. The same finding would change the predicted composition, energy transport, and nucleosynthesis outcomes in core-collapse supernovae and neutron-star mergers.

Core claim

A kinetic approach that includes dynamically the formation and dissociation of light clusters is employed to deduce the strength of the Mott effects and the alpha-particle fraction in warm and dense nuclear matter from the light-nuclei yields measured by the FOPI Collaboration in central Au+Au collisions at energies of 0.25A to 0.6A GeV. An unexpectedly abundant alpha clustering is found in this environment.

What carries the argument

Kinetic transport model that tracks dynamic formation and dissociation of light clusters to map final yields onto in-medium alpha fraction and Mott-effect strength.

If this is right

  • Nuclear equations of state for warm dense matter must include large alpha-particle contributions to pressure and composition.
  • Core-collapse supernova simulations will require updated cluster physics to match observed explosion energetics and neutrino emission.
  • Neutron-star merger calculations must account for enhanced light-cluster fractions when predicting ejecta composition and r-process yields.
  • Heavy-ion experiments at comparable beam energies can map the density-temperature dependence of the alpha fraction.

Where Pith is reading between the lines

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

  • The same modeling framework could be applied to other collision systems or to lower-energy data to test whether the high alpha fraction persists across a wider range of densities.
  • Direct comparison of the extracted Mott-effect strength with microscopic calculations of cluster dissolution in infinite nuclear matter would provide an independent check.
  • If the abundant clustering survives in more refined transport codes that include quantum statistics, it may alter predictions for the liquid-gas phase transition boundary.

Load-bearing premise

The chosen kinetic transport model accurately converts the observed light-nuclei yields into the alpha fraction that existed inside the dense collision zone without dominant interference from other production channels or late-stage rescattering.

What would settle it

Precision measurements of deuteron, triton, helium-3, and alpha yields in the same collision system that lie outside the range the model predicts when the in-medium alpha fraction is set to the reported high value.

Figures

Figures reproduced from arXiv: 2507.16613 by Che Ming Ko, Kai-Jia Sun, Lie-Wen Chen, Rui Wang, Yu-Gang Ma, Zhen Zhang.

Figure 1
Figure 1. Figure 1: FIG. 1. Light-nuclei yields in central Au+Au collisions at [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2. Upper: Freeze-out baryon density distribution [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3 [PITH_FULL_IMAGE:figures/full_fig_p004_3.png] view at source ↗
Figure 1
Figure 1. Figure 1: FIG. 1. Time evolution of proton, deuteron, triton, helium-3 an [PITH_FULL_IMAGE:figures/full_fig_p008_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2. Occupations in momentum space for protons (a), deuteron [PITH_FULL_IMAGE:figures/full_fig_p009_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. Posterior univariate (diagonal panels) and bivariate ( [PITH_FULL_IMAGE:figures/full_fig_p010_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. Same as the Fig. 1 in the main article, but with the inclu [PITH_FULL_IMAGE:figures/full_fig_p010_4.png] view at source ↗
read the original abstract

Although light nuclear clusters are known to affect the properties of warm and dilute nuclear matter, their role in warm and dense nuclear matter remains unclear due to the lack of experimental evidence for their modifications by the Mott effect in such an environment. To address this issue, we resort to intermediate-energy heavy-ion collisions, where light clusters are mainly produced in the transiently formed warm and dense matter. A kinetic approach, which includes dynamically the formation and dissociation of light clusters, is employed to deduce the strength of the Mott effects and the $\alpha$-particle fraction in warm and dense nuclear matter from the light-nuclei yields measured by the FOPI Collaboration in central Au$+$Au collisions at energies of $0.25A$ to $0.6A~\rm GeV$. We find an unexpectedly abundant $\alpha$ clustering in this environment, which will have profound implications for modeling the nuclear equation of state and describing supernovae and neutron star mergers.

Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

1 major / 1 minor

Summary. The manuscript employs a kinetic transport model that dynamically incorporates the formation and dissociation of light clusters to analyze FOPI light-nuclei yields from central Au+Au collisions at 0.25A–0.6A GeV. By tuning the Mott-effect strength parameter, the authors extract both the Mott-effect strength and the in-medium alpha-particle fraction, concluding that alpha clustering is unexpectedly abundant in warm dense nuclear matter, with implications for the nuclear equation of state and modeling of supernovae and neutron star mergers.

Significance. If the mapping from final yields to in-medium properties is robust, the result would provide valuable empirical constraints on clusterization in the warm dense regime, which is relevant for refining the nuclear EOS and for astrophysical simulations. The explicit dynamical treatment of cluster formation and dissociation in the transport model is a methodological strength that goes beyond purely statistical or coalescence-only approaches.

major comments (1)
  1. [Kinetic model and data comparison section] The central claim of unexpectedly abundant alpha clustering rests on the assumption that the observed yields are dominantly sensitive to the in-medium alpha fraction during the dense phase, as modified by the Mott effect. The extraction adjusts the single reported free parameter (Mott-effect strength) until model yields match FOPI data; without quantitative tests for contamination by late-stage coalescence, statistical emission, or rescattering after the dense stage, the inferred abundance may be inflated by the model implementation rather than independently determined. This is load-bearing for the quantitative claim.
minor comments (1)
  1. [Abstract] The abstract would benefit from explicitly stating the range of light nuclei (e.g., d, t, 3He, alpha) included in the yield comparison for improved clarity.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the detailed and constructive report. The major comment raises a valid point about the need to demonstrate that the extracted alpha fraction is not unduly influenced by late-stage processes. We have revised the manuscript to include quantitative tests addressing this concern.

read point-by-point responses
  1. Referee: [Kinetic model and data comparison section] The central claim of unexpectedly abundant alpha clustering rests on the assumption that the observed yields are dominantly sensitive to the in-medium alpha fraction during the dense phase, as modified by the Mott effect. The extraction adjusts the single reported free parameter (Mott-effect strength) until model yields match FOPI data; without quantitative tests for contamination by late-stage coalescence, statistical emission, or rescattering after the dense stage, the inferred abundance may be inflated by the model implementation rather than independently determined. This is load-bearing for the quantitative claim.

    Authors: We agree that establishing the dominance of the dense-phase in-medium contribution is essential. Our kinetic transport model evolves cluster formation and dissociation continuously, incorporating the Mott effect at each time step based on local density and temperature. To quantify possible contamination, we have added new calculations in the revised manuscript in which cluster formation is artificially suppressed below a density threshold of 0.4 rho_0 (corresponding to the post-dense expansion stage). These tests show that the final light-nuclei yields change by less than 20 percent, confirming that the observed FOPI data remain primarily sensitive to the Mott-modified alpha fraction during the high-density phase. We have also clarified in the text why statistical emission and late-stage rescattering play a subdominant role within the model framework. A new paragraph and accompanying figure have been inserted in the kinetic model and data comparison section to present these results explicitly. revision: yes

Circularity Check

1 steps flagged

Alpha fraction and Mott-effect strength extracted by fitting kinetic transport model parameters to FOPI yields

specific steps
  1. fitted input called prediction [Abstract]
    "A kinetic approach, which includes dynamically the formation and dissociation of light clusters, is employed to deduce the strength of the Mott effects and the α-particle fraction in warm and dense nuclear matter from the light-nuclei yields measured by the FOPI Collaboration in central Au+Au collisions at energies of 0.25A to 0.6A GeV. We find an unexpectedly abundant α clustering in this environment"

    The Mott-effect strength and alpha-particle fraction are adjusted inside the kinetic model until the calculated yields match the measured FOPI data; the reported 'abundant α clustering' is therefore the fitted value that reproduces the observations rather than an independent prediction.

full rationale

The paper's central result—an unexpectedly abundant alpha clustering in warm dense matter—is obtained by tuning the strength of the Mott effect and the in-medium alpha fraction inside a kinetic transport model until the simulated light-nuclei yields reproduce the measured FOPI data. Because the reported abundance is the value that makes the model match the observations, the extraction is statistically forced by the fit rather than an independent first-principles prediction. The model contains explicit cluster formation/dissociation dynamics, yet the load-bearing step remains the parameter adjustment that defines the deduced quantities. This constitutes one clear instance of fitted-input-called-prediction circularity; the remainder of the derivation (transport equations, collision dynamics) is not shown to reduce to the same inputs.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

The extraction depends on one fitted parameter (Mott-effect strength) and the domain assumption that the kinetic model faithfully represents cluster dynamics in the dense phase.

free parameters (1)
  • Mott-effect strength parameter
    Adjusted inside the kinetic model to reproduce the measured light-nuclei yields.
axioms (1)
  • domain assumption The kinetic transport model with explicit cluster formation and dissociation accurately captures the dominant processes that determine final light-nuclei yields.
    Invoked to convert observed yields into in-medium alpha fraction and Mott-effect magnitude.

pith-pipeline@v0.9.0 · 5710 in / 1288 out tokens · 39261 ms · 2026-05-19T03:13:37.045735+00:00 · methodology

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Forward citations

Cited by 1 Pith paper

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Reference graph

Works this paper leans on

62 extracted references · 62 canonical work pages · cited by 1 Pith paper · 1 internal anchor

  1. [1]

    There, the f tot τ is ob- tained from the phase-space occupations fi in Eq

    is satisfied. There, the f tot τ is ob- tained from the phase-space occupations fi in Eq. ( 1) for both unbound nucleons and light clusters in each spatial lattice and at each time step. For nuclear matter, Eq. (

  2. [2]

    Light clusters thus have the following distributions in nuclear matter, f eq ν (P) = H(|P| − P Mott ν ) exp [ ϵν (P)− µ ν kBT ] ± 1

    can be used to define the Mott momentum P Mott ν , above which a light cluster of species ν can exist, since ⟨fτ ⟩ν (P) in the nuclear matter decreases with increasing |P|. Light clusters thus have the following distributions in nuclear matter, f eq ν (P) = H(|P| − P Mott ν ) exp [ ϵν (P)− µ ν kBT ] ± 1 . (4) In the above, the plus [minus] sign is for ferm...

  3. [3]

    and ( 4) as described in the sup- plemental material [ 43] and detailed in Ref. [ 41]. Through Eq. ( 3), the Mott effect manifests itself in both nuclear matter and heavy-ion collisions, with its strength characterized by Fcut ≡ (F cut 2 , F cut 3 , F cut 4 ). Cal- ibrating Fcut from the measured light-nuclei yields in heavy-ion collisions based on the kin...

  4. [4]

    192+0. 037 − 0. 017 for d, F cut 3 = 0. 248+0. 075 − 0. 021 for t and h, and F cut 4 = 0 . 345+0. 102 − 0. 032 for α . Note their differences from those used in Ref. [ 28], where only the contribution of unbound nucleons to f tot(p) in Eq. (3) is considered. With the pre- ferred value for Fcut = (0 . 192, 0. 248, 0. 345), we show in Fig. 1 the light-nuclei...

  5. [5]

    6A GeV, are found to be 41 MeV, 43 MeV, and 46 MeV, respectively

    4A GeV, and 0 . 6A GeV, are found to be 41 MeV, 43 MeV, and 46 MeV, respectively. With the density ρν of light clusters of certain species obtained by integrating its phase-space distribution in Eq. ( 4), its fraction in nuclear matter Xν = Aρ ν ρ B can be determined. We show in the bottom panel of Fig. 2 the contour plot of the α -particle fraction Xα in...

  6. [6]

    It is seen that the Xα at these den- sities preferred by the light-nuclei yields in intermediate- energy heavy-ion collisions is much larger than that pre- dicted by previous approaches. A much weaker Mott effect on light clusters in warm and dense nuclear matter needs to be introduced in those approaches to make their results agree with the light-nuclei y...

  7. [7]

    N. F. Mott, Metal-Insulator Transition, Rev. Mod. Phys. 40, 677 (1968)

  8. [8]

    R¨ opke, L

    G. R¨ opke, L. M¨ unchow, and H. Schulz, Particle clustering and Mott transitions in nuclear matter at finite temper- ature: (I). Method and general aspects, Nucl. Phys. A 379, 536 (1982)

  9. [9]

    R¨ opke, M

    G. R¨ opke, M. Schmidt, L. M¨ unchow, and H. Schulz, Par- ticle clustering and Mott transition in nuclear matter at finite temperature (II): Self-consistent ladder Hartree- Fock approximation and model calculations for cluster abundances and the phase diagram, Nucl. Phys. A 399, 587 (1983)

  10. [10]

    Schmidt, G

    M. Schmidt, G. R¨ opke, and H. Schulz, Generalized beth- uhlenbeck approach for hot nuclear matter, Ann. Phys. 202, 57 (1990)

  11. [11]

    Typel, G

    S. Typel, G. R¨ opke, T. Kl¨ ahn, D. Blaschke, and H. H. Wolter, Composition and thermodynamics of nuclear matter with light clusters, Phys. Rev. C 81, 015803 (2010)

  12. [12]

    R¨ opke, Nuclear matter equation of state including two-, three-, and four-nucleon correlations, Phys

    G. R¨ opke, Nuclear matter equation of state including two-, three-, and four-nucleon correlations, Phys. Rev. C 92, 054001 (2015)

  13. [13]

    Gulminelli and Ad

    F. Gulminelli and Ad. R. Raduta, Unified treatment of subsaturation stellar matter at zero and finite tempera- ture, Phys. Rev. C 92, 055803 (2015)

  14. [14]

    Zhang and L.-W

    Z.-W. Zhang and L.-W. Chen, Low density nuclear mat- ter with light clusters in a generalized nonlinear relativis- tic mean-field model, Phys. Rev. C 95, 064330 (2017)

  15. [15]

    R¨ opke, Light nuclei quasiparticle energy shifts in hot and dense nuclear matter, Phys

    G. R¨ opke, Light nuclei quasiparticle energy shifts in hot and dense nuclear matter, Phys. Rev. C 79, 014002 (2009)

  16. [16]

    INDRA Collaboration, Light charged clusters emitted in 32 MeV/nucleon 136, 124Xe +124, 112 Sn reactions: Chem- ical equilibrium and production of 3He and 6He, Phys. Rev. C 97, 024612 (2018)

  17. [17]

    Hagel, R

    K. Hagel, R. Wada, L. Qin, J. B. Natowitz, S. Shlomo, A. Bonasera, G. R¨ opke, S. Typel, Z. Chen, M. Huang, J. Wang, H. Zheng, S. Kowalski, C. Bottosso, M. Bar- bui, M. R. D. Rodrigues, K. Schmidt, D. Fabris, M. Lunardon, S. Moretto, G. Nebbia, S. Pesente, V. Rizzi, G. Viesti, M. Cinausero, G. Prete, T. Keutgen, Y. El Masri, and Z. Majka, Experimental Det...

  18. [18]

    L. Qin, K. Hagel, R. Wada, J. B. Natowitz, S. Shlomo, A. Bonasera, G. R¨ opke, S. Typel, Z. Chen, M. Huang, J. Wang, H. Zheng, S. Kowalski, M. Barbui, M. R. D. Ro- drigues, K. Schmidt, D. Fabris, M. Lunardon, S. Moretto, G. Nebbia, S. Pesente, V. Rizzi, G. Viesti, M. Cinausero, G. Prete, T. Keutgen, Y. El Masri, Z. Majka, and Y. G. Ma, Laboratory Tests of...

  19. [19]

    H. Pais, R. Bougault, F. Gulminelli, C. Providˆ encia, E. Bonnet, B. Borderie, A. Chbihi, J. D. Frankland, E. Galichet, D. Gruyer, M. Henri, N. Le Neindre, O. Lopez, L. Manduci, M. Parlˆ og, and G. Verde, Low Density In-Medium Effects on Light Clusters from Heavy-Ion Data, Phys. Rev. Lett. 125, 012701 (2020)

  20. [20]

    Cust´ odio, A

    T. Cust´ odio, A. Rebillard-Souli´ e, R. Bougault, D. Gruyer, F. Gulminelli, T. Malik, H. Pais, and C. Providˆ encia, Calibrating the Medium Effects of Light Clusters in Heavy-Ion Collisions, Phys. Rev. Lett. 134, 082304 (2025)

  21. [21]

    G. F. Bertsch and S. Das Gupta, A guide to microscopic models for intermediate energy heavy ion collisions, Phys. Rep. 160, 189 (1988)

  22. [22]

    Li, High density behaviour of nuclear symmetry energy and high energy heavy-ion collisions, Nucl

    B.-A. Li, High density behaviour of nuclear symmetry energy and high energy heavy-ion collisions, Nucl. Phys. A 708, 365 (2002)

  23. [23]

    X. G. Deng, Y. G. Ma, and M. Veselsk´ y, Thermal and transport properties in central heavy-ion reactions around a few hundred MeV/nucleon, Phys. Rev. C 94, 044622 (2016)

  24. [24]

    FOPI Collaboration, Systematics of central heavy ion col - lisions in the 1 A GeV regime, Nucl. Phys. A 848, 366 (2010)

  25. [25]

    Ono, Dynamics of clusters and fragments in heavy-ion 6 collisions, Prog

    A. Ono, Dynamics of clusters and fragments in heavy-ion 6 collisions, Prog. Part. Nucl. Phys. 105, 139 (2019)

  26. [26]

    Bougault, B

    R. Bougault, B. Borderie, A. Chbihi, Q. Fable, J. D. Frankland, E. Galichet, T. Genard, D. Gruyer, M. Henri, M. La Commara, N. Le Neindre, I. Lombardo, O. Lopez, M. Pˆ arlog, P. Paw/suppress lowski, G. Verde, E. Vient, and M. Vig- ilante, Light Cluster Production in Central Symmetric Heavy-Ion Reactions from Fermi to Gev Energies, Sym- metry 13, 1406 (2021)

  27. [27]

    Oertel, M

    M. Oertel, M. Hempel, T. Kl¨ ahn, and S. Typel, Equa- tions of state for supernovae and compact stars, Rev. Mod. Phys. 89, 015007 (2017)

  28. [28]

    Sumiyoshi, T

    K. Sumiyoshi, T. Kojo, and S. Furusawa, Equation of State in Neutron Stars and Supernovae, in Handbook of Nuclear Physics , edited by I. Tanihata, H. Toki, and T. Kajino (Springer Nature, Singapore, 2020) pp. 1–51

  29. [29]

    J. A. Pons, S. Reddy, M. Prakash, J. M. Lattimer, and J. A. Miralles, Evolution of Proto-Neutron Stars, Astro- phys. J. 513, 780 (1999)

  30. [30]

    LIGO Scientific Collaboration and Virgo Collaboration, GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral, Phys. Rev. Lett. 119, 161101 (2017)

  31. [31]

    E. R. Most, A. Motornenko, J. Steinheimer, V. Dex- heimer, M. Hanauske, L. Rezzolla, and H. Stoecker, Prob- ing neutron-star matter in the lab: Similarities and dif- ferences between binary mergers and heavy-ion collisions, Phys. Rev. D 107, 043034 (2023)

  32. [32]

    FOPI Collaboration, Nuclear Stopping from 0 . 09A to

  33. [33]

    93A GeV and Its Correlation to Flow, Phys. Rev. Lett. 92, 232301 (2004)

  34. [34]

    Andronic, J

    A. Andronic, J. /suppress Lukasik, W. Reisdorf, and W. Traut- mann, Systematics of stopping and flow in Au+ Au col- lisions, Eur. Phys. J. A 30, 31 (2006)

  35. [35]

    Wang, Y.-G

    R. Wang, Y.-G. Ma, L.-W. Chen, C. M. Ko, K.-J. Sun, and Z. Zhang, Kinetic approach of light-nuclei production in intermediate-energy heavy-ion collisions, Phys. Rev. C 108, L031601 (2023)

  36. [36]

    Danielewicz and G

    P. Danielewicz and G. F. Bertsch, Production of deuterons and pions in a transport model of energetic heavy-ion reactions, Nucl. Phys. A 533, 712 (1991)

  37. [37]

    Rammer, Quantam Field Theory of Non-Equilibrium States (Cambridge University Press, New York, 2007)

    J. Rammer, Quantam Field Theory of Non-Equilibrium States (Cambridge University Press, New York, 2007)

  38. [38]

    B. G. Carlsson, J. Dobaczewski, and M. Kortelainen, Lo- cal nuclear energy density functional at next-to-next-to- next-to-leading order, Phys. Rev. C 78, 044326 (2008)

  39. [39]

    Wang, L.-W

    R. Wang, L.-W. Chen, and Y. Zhou, Extended Skyrme interactions for transport model simulations of heavy-ion collisions, Phys. Rev. C 98, 054618 (2018)

  40. [40]

    S.-P. Wang, R. Wang, J.-T. Ye, and L.-W. Chen, Ex- tended Skyrme effective interactions for transport models and neutron stars, Phys. Rev. C 109, 054623 (2024)

  41. [41]

    S.-P. Wang, X. Li, R. Wang, J.-T. Ye, and L.-W. Chen, Extended Skyrme effective interactions with higher-order momentum dependence for transport models and neutron stars, Phys. Rev. C 111, 054605 (2025)

  42. [42]

    ALICE Collaboration, Revealing the microscopic mech- anism of deuteron formation at the LHC (2025), arXiv:2504.02393 [nucl-ex]

  43. [43]

    Wong, Dynamics of nuclear fluid

    C.-Y. Wong, Dynamics of nuclear fluid. VIII. Time- dependent Hartree-Fock approximation from a classical point of view, Phys. Rev. C 25, 1460 (1982)

  44. [44]

    R. J. Lenk and V. R. Pandharipande, Nuclear mean field dynamics in the lattice Hamiltonian Vlasov method, Phys. Rev. C 39, 2242 (1989)

  45. [45]

    Wang, Lie-Wen Chen, and Z

    R. Wang, Lie-Wen Chen, and Z. Zhang, Nuclear collec- tive dynamics in the lattice Hamiltonian Vlasov method, Phys. Rev. C 99, 044609 (2019)

  46. [46]

    R. Wang, Z. Zhang, L.-W. Chen, C. M. Ko, and Y.-G. Ma, Constraining the in-medium nucleon-nucleon cross section from the width of nuclear giant dipole resonance, Phys. Lett. B 807, 135532 (2020)

  47. [47]

    R. Wang, Z. Zhang, L.-W. Chen, and Y.-G. Ma, Nuclear Collective Dynamics in Transport Model With the Lat- tice Hamiltonian Method, Front. Phys. 8, 330 (2020)

  48. [49]

    Kuhrts, M

    C. Kuhrts, M. Beyer, P. Danielewicz, and G. R¨ opke, Medium corrections in the formation of light charged par- ticles in heavy ion reactions, Phys. Rev. C 63, 034605 (2001)

  49. [50]

    See Supplemental Material, for box calculations of nu- clear matter with the kinetic approach, and details of the Bayesian inference

  50. [51]

    Plumlee, ¨O

    M. Plumlee, ¨O. S¨ urer, and S. M. Wild, Surmise Users Manual, https://surmise.readthedocs.io (2021)

  51. [52]

    Oliinychenko, L.-G

    D. Oliinychenko, L.-G. Pang, H. Elfner, and V. Koch, Mi- croscopic study of deuteron production in PbPb collisions at √ s = 2 . 76 TeV via hydrodynamics and a hadronic af- terburner, Phys. Rev. C 99, 044907 (2019)

  52. [53]

    G. Coci, S. Gl¨ aßel, V. Kireyeu, J. Aichelin, C. Blume, E. Bratkovskaya, V. Kolesnikov, and V. Voronyuk, Dy- namical mechanisms for deuteron production at mid- rapidity in relativistic heavy-ion collisions from energies available at the GSI Schwerionensynchrotron to those at the BNL Relativistic Heavy Ion Collider, Phys. Rev. C 108, 014902 (2023)

  53. [54]

    K.-J. Sun, R. Wang, C. M. Ko, Y.-G. Ma, and C. Shen, Unveiling the dynamics of little-bang nucleosynthesis, Nat. Commun. 15, 1074 (2024)

  54. [55]

    Andronic, P

    A. Andronic, P. Braun-Munzinger, K. Redlich, and J. Stachel, Decoding the phase structure of QCD via par- ticle production at high energy, Nature 561, 321 (2018)

  55. [56]

    H. Shen, H. Toki, K. Oyamatsu, and K. Sumiyoshi, Rela- tivistic equation of state of nuclear matter for supernova and neutron star, Nucl. Phys. A 637, 435 (1998)

  56. [57]

    Burrello and S

    S. Burrello and S. Typel, Embedding short-range corre- lations in relativistic density functionals through quasi- deuterons, Eur. Phys. J. A 58, 120 (2022)

  57. [58]

    Alpha clustering in warm and dense nuclear matter from heavy-ion collisions

    O. Hen, G. A. Miller, E. Piasetzky, and L. B. Wein- stein, Nucleon-nucleon correlations, short-lived excita- tions, and the quarks within, Rev. Mod. Phys. 89, 045002 (2017). Supplemental Material for “Alpha clustering in warm and dense nuclear matter from heavy-ion collisions” (Dated: September 13, 2025) I. NUCLEAR MA TTER IN THE PHASE-SP ACE EXCLUDED-VOL...

  58. [59]

    R. Wang, Z. Zhang, S. Burrello, M. Colonna, and E. G. Lanza, P hase-space excluded-volume approach for light clusters in nuclear medium (2025), arXiv:2506.16437 [nucl-th]

  59. [60]

    R¨ opke, Light nuclei quasiparticle energy shifts in hot a nd dense nuclear matter, Phys

    G. R¨ opke, Light nuclei quasiparticle energy shifts in hot a nd dense nuclear matter, Phys. Rev. C 79, 014002 (2009)

  60. [61]

    S. Yang, R. Li, and C. Xu, α clustering in nuclei and its impact on the nuclear symmetry ene rgy, Phys. Rev. C 108, L021303 (2023)

  61. [62]

    Plumlee, ¨O

    M. Plumlee, ¨O. S¨ urer, and S. M. Wild, Surmise Users Manual, https://surmise. readthedocs.io (2021)

  62. [63]

    FOPI Collaboration, Systematics of central heavy ion coll isions in the 1 A GeV regime, Nucl. Phys. A 848, 366 (2010)