pith. machine review for the scientific record. sign in

arxiv: 2604.07949 · v1 · submitted 2026-04-09 · ⚛️ nucl-ex · nucl-th

Recognition: 2 theorem links

· Lean Theorem

Wave-Function Femtometry: Hypertriton - The Ultimate Halo Nucleus

ALICE Collaboration

Authors on Pith no claims yet

Pith reviewed 2026-05-10 18:10 UTC · model grok-4.3

classification ⚛️ nucl-ex nucl-th
keywords hypertritonhalo nucleusnuclear coalescencehypernucleilambda hyperonwave functionproduction yieldfemtometry
0
0 comments X

The pith

Hypertriton production yield in collisions is described by coalescence, yielding a lambda separation of 9.54 fm from the deuteron core.

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

The paper establishes that the hypertriton forms a halo nucleus by showing that its measured production yield matches the prediction of the nuclear coalescence model only when the lambda hyperon sits far outside the deuteron core. This matters because hyperons decay too quickly for direct scattering studies, so hypernuclei offer the main route to learn how strange baryons bind with ordinary nucleons. The extracted separation of 9.54 fm is several times larger than ordinary nuclear radii, confirming the loose binding expected for the lightest hypernucleus. If the mapping holds, the same yield-to-size relation supplies a practical tool for sizing other weakly bound hypernuclear systems. The result rests on the first observation of hypertriton production in proton-proton collisions at collider energies.

Core claim

A successful description of the hypertriton production yield within the nuclear coalescence framework enables an estimation of the Λ separation from the deuteron core as 9.54^{+2.67}_{-1.11} fm, thereby confirming the halo-like structure of this weakly bound state composed of a proton, neutron, and lambda hyperon.

What carries the argument

The nuclear coalescence framework, which converts the observed production yield directly into the spatial extent of the hypertriton wave function by assuming the three constituents form when their momenta lie inside a small coalescence volume.

If this is right

  • The hypertriton wave function is dominated by a large halo component in which the lambda is loosely attached to the deuteron.
  • The hyperon-nucleon interaction strength must be weak enough to produce this extended spatial distribution.
  • The same coalescence-to-size mapping supplies a template for extracting wave-function sizes of other light hypernuclei from yield data.
  • Constraints on the low-density equation of state for hyperonic matter become accessible through measured sizes of such halo states.

Where Pith is reading between the lines

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

  • The femtometric method could be extended to heavier hypernuclei once their production yields are measured at the same facilities.
  • Refined coalescence calculations that incorporate final-state interactions would test whether the current size estimate remains stable.
  • If the extracted separation is accurate, it sets a benchmark for ab-initio calculations of three-body hypernuclear wave functions.

Load-bearing premise

The nuclear coalescence model correctly maps the measured production yield onto the spatial extent of the hypertriton wave function without significant contamination from other production mechanisms or final-state effects.

What would settle it

A direct, model-independent measurement of the hypertriton rms radius or lambda-deuteron separation that lies well outside the reported 9.54 fm range with uncertainties would show the coalescence extraction to be invalid.

Figures

Figures reproduced from arXiv: 2604.07949 by ALICE Collaboration.

Figure 1
Figure 1. Figure 1: The 3 ΛH/Λ ratio as a function of the mean charged-particle multiplicity (⟨dNch/dη⟩|η|<0.5 ) measured at √ s = 13 TeV for two multiplicity classes (full red circles), together with a previous experimental result in p–Pb collisions [64] (black cross). Furthermore the CSM thermal model prediction [61, 75] is displayed as black line and the blue and green bands represent the predictions of the two-body and th… view at source ↗
Figure 2
Figure 2. Figure 2: Object sizes of deuteron (green), 3He (blue) and 3 ΛH (red) obtained from experimental d/p [84–87], 3He/p [55, 87, 88] and 3 ΛH/Λ ratios using the corresponding coalescence formulae. The vertical bars represent the statistical uncertainty resulting from the measured yield ratio. The shaded boxes show the systematic uncertainties (e.g due to the uncertainties on the source size). The combined object size fo… view at source ↗
Figure 3
Figure 3. Figure 3: Hypertriton radius calculated from the Λ separation energy using the pionless EFT [34] (blue band) and a simple quantum mechanical model [15] (dashed black line). The measured hypertriton radius is shown as a red band. The red point represents BΛ, which is determined from the intersection of the central values of the EFT calculation and the measured radius. The red contour is the total uncertainty of the m… view at source ↗
read the original abstract

The interaction between nucleons and hyperons - baryons containing a strange quark - is key to understanding the properties of dense nuclear matter, such as that expected in the interior of neutron stars. Direct scattering experiments are hindered by the short lifetime of hyperons, prompting the study of hypernuclei - bound states of nucleons and hyperons - as an alternative approach. The lightest known hypernucleus, the hypertriton ($^3_{\Lambda}$H), is a weakly bound state composed of a proton, a neutron and a $\Lambda$ hyperon, and is believed to exhibit a halo-like structure with the $\Lambda$ being loosely bound to a deuteron core. Based on the first measurement of hypertriton production in proton-proton collisions at the CERN Large Hadron Collider (LHC), its halo structure is confirmed. A successful description of the hypertriton production yield within the nuclear coalescence framework enables an estimation of the $\Lambda$ separation from the deuteron core as $9.54^{+2.67}_{-1.11}$ fm.

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

3 major / 2 minor

Summary. The manuscript reports the first measurement of hypertriton production in proton-proton collisions at the LHC and claims that a successful description of the measured yield within the nuclear coalescence framework confirms the halo structure of the hypertriton, enabling an estimation of the Λ separation distance from the deuteron core as 9.54^{+2.67}_{-1.11} fm.

Significance. If the central mapping from yield to wave-function size holds, the result would offer a novel femtometric probe of the spatial extent of weakly bound hypernuclei, providing a data-driven constraint on the Λ-deuteron interaction relevant to hyperon physics in dense matter. The approach leverages high-energy collision data in a way that could complement traditional hypernuclear spectroscopy.

major comments (3)
  1. [Abstract] Abstract: the claim that the hypertriton yield is 'successfully described' by coalescence is presented without any quantitative fit details, goodness-of-fit metrics, or explicit comparison of the model prediction to the measured yield and its uncertainties.
  2. [Estimation of separation distance] The reported separation distance is obtained by tuning a size parameter inside the coalescence model until the predicted yield matches the data; this procedure makes the extracted value dependent on the very model assumption used to interpret the observable, without an independent cross-check.
  3. [Production mechanism discussion] No quantitative bounds or sensitivity studies are provided on possible contamination from non-coalescence mechanisms (direct three-body production, feed-down from heavier hypernuclei, or final-state rescattering) that would alter the effective source size or momentum correlations in LHC pp collisions.
minor comments (2)
  1. The asymmetric uncertainties on the separation distance should be explicitly traced to the underlying model parameters or data inputs.
  2. Additional references to previous coalescence studies of light nuclei and hypernuclei would help place the present application in context.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for the constructive comments and positive assessment of the significance of our work. We address each major comment point by point below, providing clarifications and indicating revisions made to the manuscript.

read point-by-point responses
  1. Referee: [Abstract] Abstract: the claim that the hypertriton yield is 'successfully described' by coalescence is presented without any quantitative fit details, goodness-of-fit metrics, or explicit comparison of the model prediction to the measured yield and its uncertainties.

    Authors: We agree that the abstract lacked quantitative details. In the revised version, we have updated the abstract to explicitly state the measured hypertriton yield, the coalescence model prediction (including its uncertainty), and the goodness-of-fit metric (χ²/ndf = 0.8 for 1 degree of freedom), confirming agreement within 1σ. A full comparison table and fit details have also been added to the main text in Section 3. revision: yes

  2. Referee: [Estimation of separation distance] The reported separation distance is obtained by tuning a size parameter inside the coalescence model until the predicted yield matches the data; this procedure makes the extracted value dependent on the very model assumption used to interpret the observable, without an independent cross-check.

    Authors: We acknowledge the model dependence inherent in this extraction. The revised manuscript now includes an expanded discussion in Section 4 on the coalescence framework's validation against deuteron and ³He yields measured in the same pp collisions, where extracted source sizes match known values. The separation distance of 9.54 fm is presented as the parameter that reproduces the observed yield under the standard coalescence assumption, with explicit caveats on model dependence. While a fully independent cross-check (e.g., from spectroscopy) is not possible with current LHC data, the result is consistent with theoretical hypertriton wave-function calculations. revision: partial

  3. Referee: [Production mechanism discussion] No quantitative bounds or sensitivity studies are provided on possible contamination from non-coalescence mechanisms (direct three-body production, feed-down from heavier hypernuclei, or final-state rescattering) that would alter the effective source size or momentum correlations in LHC pp collisions.

    Authors: We have addressed this by adding new quantitative sensitivity studies. Using event generators and Monte Carlo simulations tuned to LHC pp data, we estimate feed-down from heavier hypernuclei at <5%, direct three-body production as phase-space suppressed to <1%, and final-state rescattering effects incorporated with a 15% systematic uncertainty on the effective source size. These bounds and studies are now detailed in a new subsection of the results. revision: yes

Circularity Check

1 steps flagged

Hypertriton halo size obtained by fitting coalescence model parameter to production yield

specific steps
  1. fitted input called prediction [Abstract]
    "A successful description of the hypertriton production yield within the nuclear coalescence framework enables an estimation of the Λ separation from the deuteron core as 9.54^{+2.67}_{-1.11} fm."

    The separation distance is obtained by varying the spatial extent parameter of the hypertriton wave function inside the coalescence overlap integral until the model yield matches the measured yield; the quoted value is therefore the fitted parameter that reproduces the input observable.

full rationale

The paper's central result reduces to tuning the wave-function size parameter inside the nuclear coalescence model until the predicted hypertriton yield equals the measured yield. The reported separation distance is therefore the fitted value by construction rather than an independent derivation. This is a single load-bearing instance of the 'fitted input called prediction' pattern with no further self-citation chains or self-definitional loops identified from the provided text.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

The central claim rests on one domain assumption (coalescence accurately links yield to wave-function size) and treats the separation distance as a free parameter fitted to the data.

free parameters (1)
  • Lambda-deuteron separation distance = 9.54 fm
    Fitted parameter inside the coalescence model that is adjusted to reproduce the measured hypertriton yield.
axioms (1)
  • domain assumption Nuclear coalescence framework accurately describes hypertriton production in pp collisions at LHC energies.
    Invoked to convert the observed yield into a spatial size without independent validation shown in the abstract.

pith-pipeline@v0.9.0 · 5481 in / 1324 out tokens · 73476 ms · 2026-05-10T18:10:29.905940+00:00 · methodology

discussion (0)

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

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

Reference graph

Works this paper leans on

67 extracted references · 47 canonical work pages · 1 internal anchor

  1. [1]

    K. S. Krane,INTRODUCTORY NUCLEAR PHYSICS. 1987

  2. [2]

    Obertelli and H

    A. Obertelli and H. Sagawa,Modern Nuclear Physics. From Fundamentals to Frontiers. UNITEXT for Physics. Springer, 2021

  3. [3]

    Tolos and L

    L. Tolos and L. Fabbietti, “Strangeness in Nuclei and Neutron Stars”,Prog. Part. Nucl. Phys.112 (2020) 103770,arXiv:2002.09223 [nucl-ex]. 9 Wave-function femtometry ALICE Collaboration

  4. [4]

    Neutron stars and the nuclear equation of state

    G. F. Burgio, H. J. Schulze, I. Vidana, and J. B. Wei, “Neutron stars and the nuclear equation of state”,Prog. Part. Nucl. Phys.120(2021) 103879,arXiv:2105.03747 [nucl-th]

  5. [5]

    Neutron Star Properties and Femtoscopic Constraints

    I. Vidana, V . M. Sarti, J. Haidenbauer, D. L. Mihaylov, and L. Fabbietti, “Neutron Star Properties and Femtoscopic Constraints”,Eur. Phys. J. A61(2025) 59,arXiv:2412.12729 [nucl-th]. [6]Particle Data GroupCollaboration, R. L. Workmanet al., “Review of Particle Physics”,PTEP 2022(2022) 083C01

  6. [6]

    Hyperon–nucleon interaction in chiral effective field theory at next-to-next-to-leading order

    J. Haidenbauer, U.-G. Meißner, A. Nogga, and H. Le, “Hyperon–nucleon interaction in chiral effective field theory at next-to-next-to-leading order”,Eur. Phys. J. A59(2023) 63, arXiv:2301.00722 [nucl-th]

  7. [7]

    Constraining the pΛinteraction from a combined analysis of scattering data and correlation functions

    D. L. Mihaylov, J. Haidenbauer, and V . M. Sarti, “Constraining the pΛinteraction from a combined analysis of scattering data and correlation functions”,Phys. Lett. B850(2024) 138550, arXiv:2312.16970 [nucl-th]. [9]ALICECollaboration, S. Acharyaet al., “Study of theΛ–Λinteraction with femtoscopy correlations in pp and p–Pb collisions at the LHC”,Phys. Let...

  8. [8]

    Strangeness in nuclear physics

    A. Gal, E.V . Hungerford and D.J. Millener, “Strangeness in nuclear physics”,Rev. Mod. Phys.88 (2016) 035004,arXiv:1605.00557 [nucl-th]

  9. [9]

    Chart of hypernuclides – Hypernuclear structure and decay data

    P. Eckert, P. Achenbach,et al., “Chart of hypernuclides – Hypernuclear structure and decay data.” 2023. hypernuclei.kph.uni-mainz.de

  10. [10]

    The Hypertriton in effective field theory

    H. W. Hammer, “The Hypertriton in effective field theory”,Nucl. Phys. A705(2002) 173–189, arXiv:nucl-th/0110031

  11. [11]

    Structure and reactions of quantum halos

    A. S. Jensen, K. Riisager, D. V . Fedorov, and E. Garrido, “Structure and reactions of quantum halos”,Rev. Mod. Phys.76(2004) 215–261

  12. [12]

    Loosely-bound objects produced in nuclear collisions at the LHC,

    P. Braun-Munzinger and B. Dönigus, “Loosely-bound objects produced in nuclear collisions at the LHC”,Nucl. Phys. A987(2019) 144–201,arXiv:1809.04681 [nucl-ex]

  13. [13]

    The Neutron halo of extremely neutron-rich nuclei

    P. G. Hansen and B. Jonson, “The Neutron halo of extremely neutron-rich nuclei”,EPL4(1987) 409–414

  14. [14]

    Nuclear halo states

    K. Riisager, “Nuclear halo states”,Rev. Mod. Phys.66(1994) 1105–1116

  15. [15]

    Neutron halo nuclei

    I. Tanihata, “Neutron halo nuclei”,J. Phys. G22(1996) 157–198

  16. [16]

    Acharyaet al.(ALICE), Phys

    I. Tanihata, H. Toki, and T. Kajino, eds.,Handbook of Nuclear Physics. Springer, 2023. [20]ALICECollaboration, S. Acharyaet al., “Measurement of the Lifetime andΛSeparation Energy of 3 ΛH ”,Phys. Rev. Lett.131(2023) 102302,arXiv:2209.07360 [nucl-ex]

  17. [17]

    Lifetimes of Hypernuclei, 3 ΛH, 4 ΛH, 5 ΛH

    R. J. Prem and P. H. Steinberg, “Lifetimes of Hypernuclei, 3 ΛH, 4 ΛH, 5 ΛH”,Phys. Rev.136(1964) B1803–B1806

  18. [18]

    New Measurement of the 3 ΛH Lifetime

    G. Keyes, M. Derrick, T. Fields, L. Hyman, J. Fetkovich,et al., “New Measurement of the 3 ΛH Lifetime”,Phys.Rev.Lett.20(1968) 819–821. 10 Wave-function femtometry ALICE Collaboration

  19. [19]

    Lifetimes of light hyperfragments. II

    R. Phillips and J. Schneps, “Lifetimes of light hyperfragments. II”,Phys.Rev.180(1969) 1307–1318

  20. [20]

    On the lifetime of the 3 ΛH hypernucleus

    G. Bohm, J. Klabuhn, U. Krecker, F. Wysotzki, G. Coremans,et al., “On the lifetime of the 3 ΛH hypernucleus”,Nucl.Phys.B16(1970) 46–52

  21. [21]

    Properties of 3 ΛH

    G. Keyes, M. Derrick, T. Fields, L. Hyman, J. Fetkovich,et al., “Properties of 3 ΛH”,Phys.Rev.D1 (1970) 66–77

  22. [22]

    A measurement of the lifetime of the 3 ΛH hypernucleus

    G. Keyes, J. Sacton, J. Wickens, and M. Block, “A measurement of the lifetime of the 3 ΛH hypernucleus”,Nucl.Phys.B67(1973) 269–283. [27]STARCollaboration, B. I. Abelevet al., “Observation of an Antimatter Hypernucleus”,Science 328(2010) 58–62,arXiv:1003.2030 [nucl-ex]

  23. [23]

    Hypernuclear spectroscopy of products from 6Li projectiles on a carbon target at 2 AGeV

    C. Rappold, E. Kim, D. Nakajima, T. Saito, O. Bertini,et al., “Hypernuclear spectroscopy of products from 6Li projectiles on a carbon target at 2 AGeV”,Nucl.Phys.A913(2013) 170–184, arXiv:1305.4871 [nucl-ex]. [29]ALICECollaboration, J. Adamet al., “ 3 ΛH and 3 ¯ΛH production in Pb–Pb collisions at √sNN = 2.76 TeV”,Phys. Lett. B754(2016) 360–372,arXiv:1506...

  24. [24]

    Three body halos. 5. The Structure of the hypertriton

    A. Cobis, A. S. Jensen, and D. V . Fedorov, “Three body halos. 5. The Structure of the hypertriton”,J. Phys. G23(1997) 401–421,arXiv:nucl-th/9608026

  25. [25]

    Study of light Lambda and Lambda-Lambda hypernuclei with the stochastic variational method and effective Lambda N potentials

    H. Nemura, Y . Suzuki, Y . Fujiwara, and C. Nakamoto, “Study of light Lambda and Lambda-Lambda hypernuclei with the stochastic variational method and effective Lambda N potentials”,Prog. Theor. Phys.103(2000) 929–958,arXiv:nucl-th/9912065 [nucl-th]

  26. [26]

    Three-Body Hypernuclei in Pionless Effective Field Theory

    F. Hildenbrand and H. W. Hammer, “Three-Body Hypernuclei in Pionless Effective Field Theory”,Phys. Rev. C100(2019) 034002,arXiv:1904.05818 [nucl-th]. [Erratum: Phys.Rev.C 102, 039901 (2020)]

  27. [27]

    Probing the size and binding energy of the hypertriton in heavy ion collisions

    C. A. Bertulani, “Probing the size and binding energy of the hypertriton in heavy ion collisions”, Phys. Lett. B837(2023) 137639,arXiv:2211.12643 [nucl-th]

  28. [28]

    Towards nuclear structure with radioactive muonic atoms

    A. Skawranet al., “Towards nuclear structure with radioactive muonic atoms”,Nuovo Cim. C42 (2019) 125

  29. [29]

    Two-photon frequency comb spectroscopy of atomic hydrogen

    A. Grinin, A. Matveev, D. C. Yost, L. Maisenbacher, V . Wirthl, R. Pohl, T. W. Hänsch, and T. Udem, “Two-photon frequency comb spectroscopy of atomic hydrogen”,Science370(2020) abc7776

  30. [30]

    Measuring theα-particle charge radius with muonic helium-4 ions

    J. J. Krauthet al., “Measuring theα-particle charge radius with muonic helium-4 ions”,Nature 589(2021) 527–531

  31. [31]

    Method to evidence hypernuclear halos from a two-target interaction cross section measurement

    S. Velardita, H. Alvarez-Pol, T. Aumann, Y . Ayyad, M. Duer, H.-W. Hammer, L. Ji, A. Obertelli, and Y . Sun, “Method to evidence hypernuclear halos from a two-target interaction cross section measurement”,Eur. Phys. J. A59(2023) 139. 11 Wave-function femtometry ALICE Collaboration

  32. [32]

    A new determination of the binding-energy values of the light hypernuclei (A≤15)

    M. Juricet al., “A new determination of the binding-energy values of the light hypernuclei (A≤15)”,Nucl. Phys. B52(1973) 1–30

  33. [33]

    Pionic final state interactions and the hypertriton lifetime

    F. Hildenbrand and H.-W. Hammer, “Pionic final state interactions and the hypertriton lifetime”, Eur. Phys. J. A59(2023) 280,arXiv:2309.12822 [nucl-th]

  34. [34]

    Table of experimental nuclear ground state charge radii: An update

    I. Angeli and K. P. Marinova, “Table of experimental nuclear ground state charge radii: An update”,Atom. Data Nucl. Data Tabl.99(2013) 69–95

  35. [35]

    Deuterons from high-energy proton bombardment of matter

    S. T. Butler and C. A. Pearson, “Deuterons from high-energy proton bombardment of matter”, Phys. Rev. Lett.7(Jul, 1961) 69–71. http://link.aps.org/doi/10.1103/PhysRevLett.7.69

  36. [36]

    Deuterons from high-energy proton bombardment of matter

    S. Butler and C. Pearson, “Deuterons from high-energy proton bombardment of matter”,Phys. Rev.129(1963) 836–842. [45]ALICECollaboration, S. Acharyaet al., “Accessing the deuteron source with pion-deuteron femtoscopy in Pb-Pb collisions at √sNN =5.02 TeV”,Nature648(2025) 306—-311, arXiv:2504.02333 [nucl-ex]

  37. [37]

    Scheibl and U

    R. Scheibl and U. W. Heinz, “Coalescence and flow in ultrarelativistic heavy ion collisions”, Phys. Rev. C59(1999) 1585–1602,arXiv:nucl-th/9809092 [nucl-th]

  38. [38]

    Bellini and A

    F. Bellini and A. P. Kalweit, “Testing production scenarios for (anti-)(hyper-)nuclei and exotica at energies available at the CERN Large Hadron Collider”,Phys. Rev. C99(2019) 054905, arXiv:1807.05894 [hep-ph]

  39. [39]

    Cosmic-ray Antimatter

    K. Blum, R. Sato, and E. Waxman, “Cosmic-ray Antimatter”,arXiv:1709.06507 [astro-ph.HE]

  40. [40]

    Bellini, K

    F. Bellini, K. Blum, A. P. Kalweit, and M. Puccio, “Examination of coalescence as the origin of nuclei in hadronic collisions”,Phys. Rev. C103(2021) 014907,arXiv:2007.01750 [nucl-th]

  41. [41]

    Horst, L

    M. Mahlein, L. Barioglio, F. Bellini, L. Fabbietti, C. Pinto, B. Singh, and S. Tripathy, “A realistic coalescence model for deuteron production”,Eur. Phys. J. C83(2023) 804,arXiv:2302.12696 [hep-ex]

  42. [42]

    ToMCCA: A Toy Monte Carlo Coalescence Afterburner

    M. Mahlein, C. Pinto, and L. Fabbietti, “ToMCCA: A Toy Monte Carlo Coalescence Afterburner”,arXiv:2404.03352 [hep-ph]

  43. [43]

    Suppression of light nuclei production in collisions of small systems at the Large Hadron Collider

    K.-J. Sun, C. M. Ko, and B. Dönigus, “Suppression of light nuclei production in collisions of small systems at the Large Hadron Collider”,Phys. Lett. B792(2019) 132–137, arXiv:1812.05175 [nucl-th]

  44. [44]

    Mahlein, B

    M. Mahlein, B. Singh, M. Viviani, F. Bellini, L. Fabbietti, A. Kievsky, and L. E. Marcucci, “ToMCCA-3: A realistic 3-body coalescence model”,arXiv:2504.02491 [hep-ph]

  45. [45]

    A Data-Guided Coalescence Model for Light Nuclei and Hypernuclei: Validation and Predictions

    Y . H. Leung, Y . Zhou, and N. Herrmann, “A Data-Guided Coalescence Model for Light Nuclei and Hypernuclei: Validation and Predictions”,arXiv:2510.06758 [nucl-th]. [55]ALICECollaboration, S. Acharyaet al., “Production of light (anti)nuclei in pp collisions at √s = 13 TeV”,JHEP01(2022) 106,arXiv:2109.13026 [nucl-ex]

  46. [46]

    Andronicet al., Phys

    A. Andronic, P. Braun-Munzinger, J. Stachel, and H. Stocker, “Production of light nuclei, hypernuclei and their antiparticles in relativistic nuclear collisions”,Phys. Lett. B697(2011) 203–207,arXiv:1010.2995 [nucl-th]. 12 Wave-function femtometry ALICE Collaboration

  47. [47]

    Andronic, P

    A. Andronic, P. Braun-Munzinger, K. Redlich, and J. Stachel, “Decoding the phase structure of QCD via particle production at high energy”,Nature561(2018) 321–330,arXiv:1710.09425 [nucl-th]

  48. [48]

    Light nuclei in the hadron resonance gas

    B. Dönigus, “Light nuclei in the hadron resonance gas”,Int. J. Mod. Phys. E29(2020) 2040001, arXiv:2004.10544 [nucl-th]

  49. [49]

    Deuteron yields from heavy-ion collisions at energies available at the CERN Large Hadron Collider: Continuum correlations and in-medium effects

    B. Dönigus, G. Röpke, and D. Blaschke, “Deuteron yields from heavy-ion collisions at energies available at the CERN Large Hadron Collider: Continuum correlations and in-medium effects”, Phys. Rev. C106(2022) 044908,arXiv:2206.10376 [nucl-th]. [60]ALICECollaboration, S. Acharyaet al., “Measurement of 3 ΛH production in Pb–Pb collisions at√sNN = 5.02 TeV”,P...

  50. [50]

    Multiplicity dependence of light nuclei production at LHC energies in the canonical statistical model

    V . V ovchenko, B. Dönigus, and H. Stoecker, “Multiplicity dependence of light nuclei production at LHC energies in the canonical statistical model”,Phys. Lett. B785(2018) 171–174, arXiv:1808.05245 [hep-ph]

  51. [51]

    Multiplicity dependence of (multi)strange baryons in the canonical ensemble with phase shift corrections,

    J. Cleymans, P. M. Lo, K. Redlich, and N. Sharma, “Multiplicity dependence of (multi)strange baryons in the canonical ensemble with phase shift corrections”,Phys. Rev. C103(2021) 014904,arXiv:2009.04844 [hep-ph]

  52. [52]

    Light-nuclei production in pp and pA collisions in the baryon canonical ensemble approach

    N. Sharma, L. Kumar, P. M. Lo, and K. Redlich, “Light-nuclei production in pp and pA collisions in the baryon canonical ensemble approach”,Phys. Rev. C107(2023) 054903, arXiv:2210.15617 [nucl-th]. [64]ALICECollaboration, S. Acharyaet al., “Hypertriton Production in p–Pb Collisions at√sNN=5.02 TeV”,Phys. Rev. Lett.128(2022) 252003,arXiv:2107.10627 [nucl-ex...

  53. [53]

    Cosmic rays, antihelium, and an old navy spotlight

    K. Blum, K. C. Y . Ng, R. Sato, and M. Takimoto, “Cosmic rays, antihelium, and an old navy spotlight”,Phys. Rev. D96(2017) 103021,arXiv:1704.05431 [astro-ph.HE]

  54. [54]

    π-mesonic decay of the hypertriton

    H. Kamada, J. Golak, K. Miyagawa, H. Witała, and W. Glöckle, “π-mesonic decay of the hypertriton”,Phys. Rev. C57(Apr, 1998) 1595–1603. https://link.aps.org/doi/10.1103/PhysRevC.57.1595

  55. [55]

    Kernel estimation in high-energy physics

    K. S. Cranmer, “Kernel estimation in high-energy physics”,Comput. Phys. Commun.136(2001) 198–207,arXiv:hep-ex/0011057. 13 Wave-function femtometry ALICE Collaboration

  56. [56]

    The RooFit toolkit for data modeling

    W. Verkerke and D. P. Kirkby, “The RooFit toolkit for data modeling”,eConfC0303241(2003) MOLT007,arXiv:physics/0306116

  57. [57]

    Asymptotic formulae for likelihood-based tests of new physics

    G. Cowan, K. Cranmer, E. Gross, and O. Vitells, “Asymptotic formulae for likelihood-based tests of new physics”,Eur. Phys. J. C71(2011) 1554,arXiv:1007.1727 [physics.data-an]. [Erratum: Eur.Phys.J.C 73, 2501 (2013)]

  58. [58]

    Canonical statistical model analysis of p–p, p–Pb, and Pb–Pb collisions at energies available at the CERN Large Hadron Collider

    V . V ovchenko, B. Dönigus and H. Stoecker, “Canonical statistical model analysis of p–p, p–Pb, and Pb–Pb collisions at energies available at the CERN Large Hadron Collider”,Phys. Rev. C 100(2019) 054906,arXiv:1906.03145 [hep-ph]. [76]ALICECollaboration, S. Acharyaet al., “Multiplicity dependence of (multi-)strange hadron production in proton-proton colli...

  59. [59]

    Causality Constraints on Hadron Production In High Energy Collisions

    P. Castorina and H. Satz, “Causality Constraints on Hadron Production In High Energy Collisions”,Int. J. Mod. Phys. E23(2014) 1450019,arXiv:1310.6932 [hep-ph]. [80]ALICECollaboration, S. Acharyaet al., “Probing Strangeness Hadronization with Event-by-Event Production of Multistrange Hadrons”,Phys. Rev. Lett.134(2025) 022303, arXiv:2405.19890 [nucl-ex]

  60. [60]

    Reichert, J

    T. Reichert, J. Steinheimer, V . V ovchenko, B. Dönigus, and M. Bleicher, “Energy dependence of light hypernuclei production in heavy-ion collisions from a coalescence and statistical-thermal model perspective”,Phys. Rev. C107(2023) 014912,arXiv:2210.11876 [nucl-th]. [82]ALICECollaboration, S. Acharyaet al., “Measurement of (anti)alpha production in centr...

  61. [61]

    Light nuclei quasiparticle energy shifts in hot and dense nuclear matter

    G. Röpke, “Light nuclei quasiparticle energy shifts in hot and dense nuclear matter”,Phys. Rev. C79(Jan, 2009) 014002.https://link.aps.org/doi/10.1103/PhysRevC.79.014002

  62. [62]

    Quantum Monte Carlo methods for nuclear physics

    J. Carlson, S. Gandolfi, F. Pederiva, S. C. Pieper, R. Schiavilla, K. E. Schmidt, and R. B. Wiringa, “Quantum Monte Carlo methods for nuclear physics”,Rev. Mod. Phys.87(2015) 1067, arXiv:1412.3081 [nucl-th]

  63. [63]

    A next-generation LHC heavy-ion experiment

    D. Adamováet al., “A next-generation LHC heavy-ion experiment”,arXiv:1902.01211 [physics.ins-det]. [92]ALICECollaboration, “Letter of intent for ALICE 3: A next-generation heavy-ion experiment at the LHC”,arXiv:2211.02491 [physics.ins-det]. [93]ALICECollaboration, “Upgrade of the ALICE Inner Tracking System during LS3: study of physics performance”,.https...

  64. [64]

    Estimating the Production Rate of Loosely-bound Hadronic Molecules using Event Generators

    P. Artoisenet and E. Braaten, “Estimating the Production Rate of Loosely-bound Hadronic Molecules using Event Generators”,Phys. Rev. D83(2011) 014019,arXiv:1007.2868 [hep-ph]. [95]ALICECollaboration, S. Acharyaet al., “The ALICE Transition Radiation Detector: construction, operation, and performance”,Nucl. Instrum. Meth. A881(2018) 88–127, arXiv:1709.0274...

  65. [65]

    Pi mesonic decay of the hypertriton

    H. Kamada, J. Golak, K. Miyagawa, H. Witala, and W. Gloeckle, “Pi mesonic decay of the hypertriton”,Phys. Rev.C57(1998) 1595–1603,arXiv:nucl-th/9709035 [nucl-th]. [98]STARCollaboration, L. Adamczyket al., “Measurement of the 3 ΛH lifetime in Au+Au collisions at the BNL Relativistic Heavy Ion Collider”,Phys. Rev. C97(2018) 054909, arXiv:1710.00436 [nucl-ex...

  66. [66]

    A Simple model of the hypertriton

    J. Congleton, “A Simple model of the hypertriton”,J.Phys.G18(1992) 339–357. 16 Wave-function femtometry ALICE Collaboration A Methods Data samples and event selection The measurement is based on two data samples of pp collisions recorded with different trigger conditions. The high-multiplicity (HM) data sample has a mean charged-particle multiplicity⟨dN c...

  67. [67]

    (25 Figure A.2:Correctedp T spectra of (3 ΛH + 3 ¯ΛH)/2 in the HM data sample, fitted with a Lévy-Tsallis function

    % ±B.R. (25 Figure A.2:Correctedp T spectra of (3 ΛH + 3 ¯ΛH)/2 in the HM data sample, fitted with a Lévy-Tsallis function. Systematic uncertainties Systematic uncertainties on the corrected yields arise from various sources. A detailed study was per- formed where the different contributions to the systematic uncertainty were determined by a variation of ...