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REVIEW 3 major objections 6 minor 36 references

The paper establishes that a rectangular time projection chamber inside a dipole magnet can measure two-proton correlation functions in radioactive-beam heavy-ion collisions, once track merging and splitting are removed with an elliptical r

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

T0 review · deepseek-v4-flash

2026-08-02 04:27 UTC pith:4YYEWNQ2

load-bearing objection Solid feasibility demonstration for femtoscopy with SπRIT TPC; the track-merging cut is under-validated but the central claim is plausible. the 3 major comments →

arxiv 2607.24815 v1 pith:4YYEWNQ2 submitted 2026-07-15 physics.ins-det nucl-ex

Femtoscopy Measurement with SπRIT TPC in Radioactive BeamHeavy-ion Collisions

classification physics.ins-det nucl-ex
keywords femtoscopySπRIT TPCtrack mergingtrack splittingproton-proton correlation functionradioactive beam heavy-ion collisionssystematic uncertaintytime projection chamber
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

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

The paper tries to show that the SπRIT TPC, a rectangular tracking detector originally built for symmetry-energy studies, can also do femtoscopy in radioactive-beam heavy-ion collisions. The technical hurdle is that close particle tracks are sometimes reconstructed as one track (merging) or one track as several (splitting), which distorts the correlation function at small relative momenta. The paper presents a correction that rejects track pairs whose separation at the shorter track's end falls inside a fixed ellipse in the two track-separation coordinates. Applying it to proton-proton pairs from 270 MeV/u 132Sn+124Sn collisions yields a correlation function with the expected attractive S-wave peak near 20 MeV/c and suppression at lower momenta. The authors conclude that the detector can support high-precision femtoscopy with exotic beams.

Core claim

The central claim is that the corrected experimental proton-proton correlation function from the SπRIT TPC in 270 MeV/u 132Sn+124Sn radioactive-beam collisions is physically meaningful and matches earlier p-p femtoscopy results: a positive correlation peak near 20 MeV/c from the attractive S-wave nuclear force and an anti-correlation at very small relative momenta. The paper further claims that the TPC's angular acceptance has negligible influence on the correlation function, and that the six selection cuts varied in the systematic study produce controllable uncertainties, largest at low relative momenta. On this basis the authors assert that rectangular TPCs inside dipole magnets can succes

What carries the argument

The load-bearing correction is a track-merging/splitting filter built from two geometric separations computed for every proton pair: Δx, the distance between the two trajectories in the plane perpendicular to the magnetic field at the endpoint of the shorter track, and Δy, the corresponding separation along the field direction. Both are derived from track curvature, length, and emission angle. Pairs falling inside an ellipse with semi-axes 4 cm (Δx) and 1 cm (Δy) are discarded. The filter removes the non-uniform reconstruction efficiency at small track separation and is the step that turns a distorted low-relative-momentum correlation function into the expected physical shape.

Load-bearing premise

The analysis assumes that a single fixed ellipse with semi-axes of 4 cm in Δx and 1 cm in Δy separates all track-merging and track-splitting artifacts from genuine close proton pairs; if that boundary is misplaced, the low-relative-momentum correlation function is biased rather than corrected.

What would settle it

Run a full detector simulation with known track-merging and track-splitting probabilities injected into the same 132Sn+124Sn events, then apply the identical elliptical cut. If the simulated Δx−Δy distribution still shows non-uniform efficiency inside the accepted region, or if the reconstructed correlation function does not reproduce the injected input, the correction is incomplete. A cheaper check: vary the ellipse semi-axes by more than ±5% and see whether the 20 MeV/c peak shifts beyond the quoted systematic band.

Watch this falsifier — get emailed when new claim-graph text bears on it.

If this is right

  • The p-p correlation function in 132Sn+124Sn at 270 MeV/u is usable at low relative momenta, where the attractive S-wave peak and the low-momentum suppression appear.
  • The track-correction method transfers to other rectangular TPCs inside dipole magnets, not just this one.
  • No additional angular acceptance cut is needed for p-p femtoscopy in this detector, since varying the coverage leaves the correlation function unchanged.
  • The systematic uncertainty framework, combining six selection-criteria variations in quadrature, gives a template for reporting femtoscopy results from this TPC.
  • Femtoscopy with radioactive beams becomes practical, opening access to isospin-asymmetric source sizes relevant to the symmetry energy.

Where Pith is reading between the lines

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

  • The same elliptical-cut method could be applied to other pair types (proton-deuteron, deuteron-deuteron, pion pairs) in the same data, provided the Δx/Δy resolution for each species is verified; the chosen ellipse may need species-dependent sizes.
  • Because the systematic check only varied the ellipse by ±5%, a stricter test would scan the semi-axes over a wider range or make the cut momentum-dependent; if the 20 MeV/c peak moves outside uncertainty, the fixed-cut assumption would need revision.
  • If the corrected p-p correlation is fitted with a source model, the resulting source size as a function of centrality and isospin asymmetry could be compared with transport-model predictions, offering a new probe of the symmetry energy.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

3 major / 6 minor

Summary. The paper reports the first femtoscopy measurement using the SπRIT TPC in radioactive beam collisions, focusing on the proton-proton correlation function in 270 MeV/u 132Sn+124Sn. A track merging/splitting correction is proposed, implemented as a hard rejection of pairs inside a fixed ellipse in the (Δx, Δy) separation space. The authors also study the effect of TPC angular acceptance and establish a six-criterion systematic uncertainty framework. The corrected correlation function shows a peak near 20 MeV/c and suppression at low relative momenta, which the authors interpret as the expected attractive S-wave and anti-correlation features, leading to the conclusion that the SπRIT TPC is suitable for femtoscopy measurements.

Significance. If the central claim is valid, this paper demonstrates a new capability: femtoscopy with a rectangular TPC inside a dipole magnet for radioactive beam heavy-ion collisions, which is relevant for isospin-dependent studies of the nuclear equation of state. The proposed correction scheme is generic and could be adopted by other rectangular TPC experiments (e.g., CEE). The paper also provides a systematic uncertainty framework, which is a useful methodological contribution. The main strength is that the paper ships an experimentally measured p-p correlation function with the expected qualitative features, and it explicitly quantifies several sources of systematic uncertainty. However, the validity of the central feasibility claim rests on the track-merging/splitting correction, which is data-driven and not yet validated by a closure test; this is the main risk to the significance of the result.

major comments (3)
  1. [Sec. 4, Fig. 7] The track merging/splitting correction is implemented as a hard rejection of all pairs with (Δx, Δy) inside an ellipse with semi-axes 4 cm (Δx) and 1 cm (Δy), with these parameters chosen from the measured Δx–Δy distribution of the same data set. No Monte Carlo closure test is provided to demonstrate that this cut removes all reconstruction artifacts while retaining true close pairs. Since low-k* pairs have similar velocities and therefore small track separations, the elliptical cut can preferentially remove the physical signal; the ±5% variation in Sec. 6 only probes local sensitivity and cannot validate the rejection strategy itself. This is load-bearing because the claimed physical features in Fig. 10 (the ~20 MeV/c peak and low-k* suppression) are produced by this correction. Please add a closure test, e.g., embedding known p-p correlations into simulated TPC events with realistic tr
  2. [Sec. 5, Fig. 8] The claim that TPC angular acceptance has a negligible impact on the p-p correlation function is based on a visual comparison of curves for different phi cuts. No quantitative metric (e.g., χ²/ndf, bin-by-bin residuals normalized to statistical errors) is given, and the statistical precision of each acceptance sample is not reported. Since the paper explicitly states that 'no additional angular acceptance cuts are applied' on the basis of this study, the claim should be supported by a quantitative comparison, e.g., a table of bin-by-bin differences divided by the combined statistical and systematic uncertainty, or a fit of the source size under different acceptances.
  3. [Sec. 6, Eq. (5)] The systematic uncertainty framework sums six criteria in quadrature, but it does not include a term representing the uncertainty of the track-merging/splitting correction strategy itself. The ±5% variations of Δx and Δy are local sensitivity tests around the chosen ellipse parameters; they do not test the assumption that a hard rejection with a fixed elliptical shape is the correct model. Given that this correction is the key novel element and directly shapes the low-k* region where systematic uncertainties are largest, the framework should either incorporate a systematic component for the rejection model (e.g., from a closure test or a comparison with an alternative correction method) or explicitly justify why such a component is negligible.
minor comments (6)
  1. [Sec. 4] The phrase 'track merging and track splitting correction methods' is grammatically awkward; recommend 'track merging and track splitting correction method' if a single method is described, or clarify the plural.
  2. [Fig. 2] The labels in panels (b) and (c) use 'pdt' and '3He4He' without spaces; this is hard to read and could be confused with a single species. Please add clear separators or legends.
  3. [Fig. 9(a)] The table of selection criteria and variation ranges is embedded as an image and is difficult to read. Please reproduce this information as a proper table in the text, listing each criterion, its nominal value, and the lower/upper variation bounds.
  4. [Eq. (3)] Please specify explicitly the large-k* fitting range used to constrain the normalization constant A, and whether A is fit globally or per-bin. This is relevant for reproducibility.
  5. [Sec. 2, Eq. (1)] The centrality mapping uses the hard-sphere model b_max = 1.15(A_P^{1/3}+A_T^{1/3}). Please state the systematic uncertainty in b/b_max from this model choice, or cite a reference justifying it for this reaction.
  6. [References] The citation 'SpiRITGithub' (https://github.com/SpiRIT-Collaboration/SpiRITROOT) should be formatted as a standard software citation with author(s), year, and version/access date, rather than appearing in the author list of the experiment.

Circularity Check

0 steps flagged

No significant circularity: the reported femtoscopy measurement is self-contained; the data-driven track-merging cut raises systematic-bias concerns but does not reduce the result to its inputs by construction.

full rationale

The paper is an experimental measurement rather than a derivation of a predicted quantity from a fitted input. The correlation function is constructed via Eq. (3), C_exp(k*) = A N_same/N_mix, where A is a normalization constant fixed at large k*; this does not determine the shape of the correlation function, and the physical features (the ~20 MeV/c attractive peak and low-k* anti-correlation) come from the measured N_same/N_mix ratio, not from the normalization. The track merging/splitting correction in Sec. 4 is an elliptical rejection cut with semi-axes chosen from the measured Δx–Δy distribution and TPC resolution, and its influence is quantified in Sec. 6 by varying the cut parameters by ±5%. While this data-driven cut could bias the low-k* region—and no Monte Carlo closure test is shown—the final correlation function is not mathematically equivalent to the chosen cut parameters; the cut removes pairs but does not by itself set the shape of the correlation function. The theoretical formula Eq. (4) is used only to interpret the measured CF, not to generate it. Consistency with previous p-p femtoscopy results is checked against external references (Wang et al. 2022; STAR/Adamczyk et al. 2015), which are independent evidence. Self-citations in the paper concern detector characterization and prior SπRIT analyses; they are not load-bearing for the central feasibility claim. The absence of a closure test and the hand-chosen nature of the elliptical cut are legitimate experimental systematic concerns, but they are not circularity under the definitions used here.

Axiom & Free-Parameter Ledger

3 free parameters · 5 axioms · 0 invented entities

The paper's claims rest on standard femtoscopy methodology, the detector's track reconstruction, and a hand-chosen rejection ellipse. No new physical entities are introduced. The main unvalidated inputs are the track-reconstruction accuracy and the elliptical cut.

free parameters (3)
  • Track-merging rejection ellipse semi-axes (Δx, Δy) = 4 cm, 1 cm
    Hand-selected in Sec. 4/Fig. 7 from the measured track-separation distribution; only ±5% variation is considered in Sec. 6, so the absolute choice is not independently validated.
  • Correlation normalization constant A = not quoted (set by requiring C_exp → 1 at large k*)
    Standard femtoscopy normalization in Eq. (3); it is a degree of freedom, though constrained at high relative momentum.
  • Systematic variation range (±5%) = ±5%; integer cuts ±1; massHCalib ±10% of full range
    Chosen in Sec. 6, Fig. 9(a); the total systematic uncertainty in Eq. (5) is directly proportional to this artificial range.
axioms (5)
  • standard math Event-mixing reference N_mix correctly represents the uncorrelated pair spectrum.
    Used in Eq. (3) to construct C_exp; if the mixed-event background is biased by acceptance or centrality mixing, the correlation function is biased.
  • standard math The measured correlation function is related to the source and the two-particle scattering wave function via Eq. (4).
    The theoretical interpretation relies on this decomposition; not needed for the raw measurement claim, but needed for the physics interpretation.
  • domain assumption Track reconstruction (Riemann fit/RAVE) supplies vertex and track parameters accurate enough for the Δx, Δy correction.
    The correction geometry in Figs. 5–6 assumes the track curvature radius r, angle φ, and track length TL are known; no closure test is presented.
  • domain assumption Hard-sphere model and multiplicity–impact-parameter mapping in Eqs. (1)–(2) describe the centrality selection.
    Used to classify collision centrality; if wrong, the quoted multiplicity cut and systematics are mis-scaled.
  • ad hoc to paper A fixed elliptical rejection region (semi-axes 4 cm in Δx, 1 cm in Δy) removes all track merging/splitting artifacts without over-removing true close pairs.
    Adopted in Sec. 4 based on the data distribution; not derived from simulation or a detector-response model, and not checked for momentum dependence.

pith-pipeline@v1.3.0-alltime-deepseek · 12502 in / 13116 out tokens · 633221 ms · 2026-08-02T04:27:33.922225+00:00 · methodology

0 comments
read the original abstract

Femtoscopy is a powerful tool for exploring the dynamic emitting structure in heavy-ion collisions, while radioactive beam heavy-ion collisions enable the investigation of nuclear matter under extreme isospin conditions. Here, we successfully perform femtoscopy measurements using the S$\pi$RIT Time Projection Chamber (TPC). A dedicated correction scheme for track merging and splitting is proposed, which is well applicable to rectangular TPCs housed inside dipole magnets and effectively improves the reconstructed correlation functions at small relative momenta. Focusing on the proton-proton (p-p) correlation function in the 270 MeV/u $^{132}\text{Sn}+^{124}\text{Sn}$ system, we successfully apply the track merging and splitting correction; additionally, the TPC angular acceptance exhibits a negligible impact on the correlation function. A systematic uncertainty quantification framework is established. The experimental results of the p-p correlation function confirm the feasibility of the S$\pi$RIT TPC for femtoscopy measurements and provide technical support for high-precision femtoscopy studies using rectangular TPCs in radioactive beam heavy-ion collisions.

Figures

Figures reproduced from arXiv: 2607.24815 by A. B. McIntosh, A. Horvat, A. Snoch, A. Sochocka, B. Hong, C. K. Tam, C. Santamaria, C. Y. Tsang, D. Rossi, D. S. Ahn, D. Suzuki, G. Cerizza, G. Jhang, G. Verde, H. Baba, H. Otsu, H. Sakurai, H. Sato, H. Scheit, H. Simon, H. S. Lee, H. Suzuki, H. Takeda, H. Toernqvist, I. Gasparic, J. Barney, J. Brzychczyk, J. Estee, J. {\L}ukasik, J. Manfredi, J. Park, J. W. Lee, K. Boretzky, K. Ieki, K. Pelczar, L. Atar, M. B. Tsang, M. Kaneko, M. Kurata-Nishimura, N. Chiga, N. Fukuda, N. Inabe, N. Nakatsuka, P. Lasko, P. Morfouace, P. Paw{\l}owski, R. Shane, R. S. Wang, S. J. Yennello, S. Nishimura, S. Tangwancharoen, T. Aumann, T. Isobe, T. Kobayashi, T. Murakami, T. Nakamura, T. Sumikama, W. G. Lynch, Y. J. Kim, Y. J. Wang, Y. Kondo, Y. Leifels, Y. Shimizu, Y. Togano, Y. Zhang, Z. Chaj\k{e}cki, Z. G. Xiao.

Figure 1
Figure 1. Figure 1: Layout diagram of the RIKEN radioactive isotope factory accelerator and schematic diagram of the S𝜋RIT experimental setup. The specific location of the SAMURAI terminal where the S𝜋RIT experiment is located is marked in the figure, and a table of the radioactive beam heavy-ion collision systems is attached. (2016); the magnetic field strength was set to 0.5 T during the experiment, which could simultaneous… view at source ↗
Figure 2
Figure 2. Figure 2: Particle identification performance of the S𝜋RIT TPC in 270MeV/u 132Sn + 124Sn (a). Mass numbers of hydrogen isotopes (proton, deuteron, triton) with charge number 𝑍 = 1 (b) and helium isotopes (3He, 4He) with charge number 𝑍 = 2 (c) are extracted respectively via the Bethe–Bloch formula. where 𝜎 trigger and 𝜎 max denote the cross section corre￾sponding to the experimental trigger and the maximum cross sec… view at source ↗
Figure 4
Figure 4. Figure 4: Schematic of the theoretical principle for particle correlation function. 𝐴 is a normalization constant that constrains the correlation function to unity in the large 𝑘 ∗ . Theoretically, by incorporating the two-particle scatter￾ing wave function, femtoscopy establishes a quantitative connection between the correlation function and the spatio￾temporal profile of the particle emission source. The theo￾reti… view at source ↗
Figure 6
Figure 6. Figure 6: presents a schematic of track merging and splitting corrections for particle trajectories along the TPC Y-axis, which is parallel to the magnetic field. Here, 𝜂 is the angle between an individual track and the Y-axis, and Δ𝜂 represents the angular separation between the two tracks under analysis. To quantify the Y-axis resolution of two tracks originating from a common vertex, we use the relative distance … view at source ↗
Figure 7
Figure 7. Figure 7: compares the track separation distance dis￾tributions in the XOZ plane and Y-axis direction (Δ𝑥 − Δ𝑦), as well as the corresponding proton-proton correlation functions, before and after track merging and track splitting corrections for the 132Sn+ 124Sn reaction system. As demon￾strated in [PITH_FULL_IMAGE:figures/full_fig_p005_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Schematic of different TPC angular acceptances (a) and the corresponding proton-proton correlation functions un￾der various angular coverage conditions (b) for the 132Sn+ 124Sn reaction system. Taking Phi 100 as an example, it corresponds to an angular coverage of ±50◦ on both the positive and negative sides of the X-axis. 5. Geometrical acceptance effect The TPC detector employed in the S𝜋RIT experiment f… view at source ↗
Figure 9
Figure 9. Figure 9: Systematic uncertainty analysis of the proton–proton correlation function for the 132Sn + 124 Sn reaction system. Panel (a) lists six selection criteria adopted for systematic uncertainty estimation together with their variation ranges; panels (b)–(g) illustrate the corresponding impacts on the proton–proton correlation function when each selection criterion is varied individually. the shaded areas indicat… view at source ↗
Figure 10
Figure 10. Figure 10: Experimental results of the proton–proton correla￾tion function for the 132Sn + 124 Sn reaction system. The error bars on the data points represent the statistical uncertainties, and the shaded band denotes the systematic uncertainties. correlation function measured in the 270 MeV/u 132Sn + 124 Sn radioactive beam heavy-ion collision system as an exam￾ple, the correction of track merging and track splitti… view at source ↗

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Reference graph

Works this paper leans on

36 extracted references · 7 canonical work pages

  1. [1]

    Physics Reports , volume=

    Recent progress and new challenges in isospin physics with heavy-ion reactions , author=. Physics Reports , volume=. 2008 , publisher=

  2. [2]

    and others

    Huth, S. and others. Constraining Neutron-Star Matter with Microscopic and Macroscopic Collisions. Nature. 2022. doi:10.1038/s41586-022-04750-w. arXiv:2107.06229

  3. [3]

    and Kumar, Rohit and Horowitz, Charles J

    Tsang, Chun Yuen and Tsang, ManYee Betty and Lynch, William G. and Kumar, Rohit and Horowitz, Charles J. Determination of the equation of state from nuclear experiments and neutron star observations. Nature Astron. 2024. doi:10.1038/s41550-023-02161-z. arXiv:2310.11588

  4. [4]

    Circumstantial Evidence for a Soft Nuclear Symmetry Energy at Suprasaturation Densities

    Xiao, Zhigang and Li, Bao-An and Chen, Lie-Wen and Yong, Gao-Chan and Zhang, Ming. Circumstantial Evidence for a Soft Nuclear Symmetry Energy at Suprasaturation Densities. Phys. Rev. Lett. 2009. doi:10.1103/PhysRevLett.102.062502. arXiv:0808.0186

  5. [5]

    Source function from two-particle correlation function through entropy-regularized Richardson-Lucy deblurring

    Tam, Chi-Kin and Chaj e cki, Zbigniew and Danielewicz, Pawe and Nzabahimana, Pierre. Source function from two-particle correlation function through entropy-regularized Richardson-Lucy deblurring. Phys. Rev. C. 2025. doi:10.1103/zfly-38pk. arXiv:2502.09478

  6. [6]

    Imaging Freeze-Out Sources and Extracting Strong Interaction Parameters in Relativistic Heavy-Ion Collisions

    Xu, Junhuai and Qin, Zhi and Zou, Renjie and Si, Dawei and Xiao, Sheng and Tian, Baiting and Wang, Yijie and Xiao, Zhigang. Imaging Freeze-Out Sources and Extracting Strong Interaction Parameters in Relativistic Heavy-Ion Collisions. Chin. Phys. Lett. 2025. doi:10.1088/0256-307X/42/3/031401. arXiv:2411.08718

  7. [7]

    Wang, Y. J. and others. Large amplification of the isospin-dependence of proton emitting source size in radioactive heavy-ion collisions: a signal of n-p correlation. 2026. arXiv:2604.25107

  8. [8]

    and Danielewicz, P

    Verde, G. and Danielewicz, P. and Lynch, W. G. and Brown, D. A. and Gelbke, C. K. and Tsang, M. B. Probing transport theories via two proton source imaging. Phys. Rev. C. 2003. doi:10.1103/PhysRevC.67.034606. arXiv:nucl-ex/0301013

  9. [9]

    Probing the three-dimensional emission source and neutron skin via - correlations in heavy-ion collisions

    Zhang, Haojie and Xu, Junhuai and Li, Pengcheng and Qin, Zhi and Si, Dawei and Wang, Yijie and Wang, Yongjia and Li, Qingfeng and Xiao, Zhigang. Probing the three-dimensional emission source and neutron skin via - correlations in heavy-ion collisions. Phys. Rev. C. 2026. doi:10.1103/jdsn-p3v4. arXiv:2510.20554

  10. [10]

    The emission order of hydrogen isotopes via correlation functions in 30 MeV/u Ar+Au reactions

    Wang, Yijie and others. The emission order of hydrogen isotopes via correlation functions in 30 MeV/u Ar+Au reactions. Phys. Lett. B. 2022. doi:10.1016/j.physletb.2021.136856. arXiv:2112.02210

  11. [11]

    and others

    Duan, X. and others. Emission time chronology of He3 relative to hydrogen isotopes in Zn64+Au197 collisions at 35 MeV/u. Phys. Rev. C. 2026. doi:10.1103/fwz6-mr5t

  12. [12]

    Extracting Neutron-Neutron Interaction Strength and Spatiotemporal Dynamics of Neutron Emission from the Two-Particle Correlation Function

    Si, Dawei and others. Extracting Neutron-Neutron Interaction Strength and Spatiotemporal Dynamics of Neutron Emission from the Two-Particle Correlation Function. Phys. Rev. Lett. 2025. doi:10.1103/PhysRevLett.134.222301. arXiv:2501.09576

  13. [13]

    2016 , issn =

    SAMURAI in its operation phase for RIBF users , journal =. 2016 , issn =. doi:https://doi.org/10.1016/j.nimb.2016.02.056 , url =

  14. [14]

    and others

    Shane, R. and others. S RIT: A time-projection chamber for symmetry-energy studies. Nucl. Instrum. Meth. A. 2015. doi:10.1016/j.nima.2015.01.026. arXiv:1409.6343

  15. [15]

    and others

    Tangwancharoen, S. and others. A Gating Grid Driver for Time Projection Chambers. Nucl. Instrum. Meth. A. 2017. doi:10.1016/j.nima.2017.02.001. arXiv:1612.06708

  16. [16]

    and others

    Estee, J. and others. Extending the dynamic range of electronics in a Time Projection Chamber. Nucl. Instrum. Meth. A. 2019. doi:10.1016/j.nima.2019.162509

  17. [17]

    and others

    Barney, J. and others. The S RIT time projection chamber. Rev. Sci. Instrum. 2021. doi:10.1063/5.0041191. arXiv:2005.10806

  18. [18]

    and others

    Lasko, P. and others. KATANA - a charge-sensitive triggering system for the S RIT experiment. Nucl. Instrum. Meth. A. 2017. doi:10.1016/j.nima.2017.03.006. arXiv:1610.06682

  19. [19]

    and others

    Isobe, T. and others. Application of the Generic Electronics for Time Projection Chamber (GET) readout system for heavy Radioactive isotope collision experiments. Nucl. Instrum. Meth. A. 2018. doi:10.1016/j.nima.2018.05.022

  20. [20]

    Lee, J. W. and others. Charged particle track reconstruction with S RIT Time Projection Chamber. Nucl. Instrum. Meth. A. 2020. doi:10.1016/j.nima.2020.163840. arXiv:2001.04820

  21. [21]

    S RITROOT Software, https://github.com/SpiRIT-Collaboration/SpiRITROOT/tree/33821f0

    SpiRITGithub. S RITROOT Software, https://github.com/SpiRIT-Collaboration/SpiRITROOT/tree/33821f0

  22. [22]

    Tsang, C. Y. and others. Space charge effects in the S RIT time projection chamber. Nucl. Instrum. Meth. A. 2020. doi:10.1016/j.nima.2020.163477. arXiv:1912.11045

  23. [23]

    Source function from two-particle correlations through deblurring: p-p and d - pairs

    Nzabahimana, Pierre and Danielewicz, Pawel and Verde, Giuseppe. Source function from two-particle correlations through deblurring: p-p and d - pairs. Nuovo Cim. C. 2024. doi:10.1393/ncc/i2025-25039-8

  24. [24]

    RAVE: A detector-independent toolkit to reconstruct vertices

    Waltenberger, Wolfgang. RAVE: A detector-independent toolkit to reconstruct vertices. IEEE Trans. Nucl. Sci. 2011. doi:10.1109/TNS.2011.2119492

  25. [25]

    Robust circle reconstruction with the Riemann fit

    Fr. Robust circle reconstruction with the Riemann fit. J. Phys. Conf. Ser. 2018. doi:10.1088/1742-6596/1085/4/042004

  26. [26]

    and others

    Estee, J. and others. Probing the Symmetry Energy with the Spectral Pion Ratio. Phys. Rev. Lett. 2021. doi:10.1103/PhysRevLett.126.162701. arXiv:2103.06861

  27. [27]

    and others

    Kaneko, M. and others. Rapidity distributions of Z=1 isotopes and the nuclear symmetry energy from Sn+Sn collisions with radioactive beams at 270 MeV/nucleon. Phys. Lett. B. 2021. doi:10.1016/j.physletb.2021.136681

  28. [28]

    Lee, J. W. and others. Isoscaling in central Sn+Sn collisions at 270 MeV/u. Eur. Phys. J. A. 2022. doi:10.1140/epja/s10050-022-00851-2. arXiv:2211.02837

  29. [29]

    Tsang, C. Y. and others. Constraining nucleon effective masses with flow and stopping observables from the S RIT experiment. Phys. Lett. B. 2024. doi:10.1016/j.physletb.2024.138661. arXiv:2312.06678

  30. [30]

    Femtoscopy in relativistic heavy ion collisions

    Lisa, Michael Annan and Pratt, Scott and Soltz, Ron and Wiedemann, Urs. Femtoscopy in relativistic heavy ion collisions. Ann. Rev. Nucl. Part. Sci. 2005. doi:10.1146/annurev.nucl.55.090704.151533. arXiv:nucl-ex/0505014

  31. [31]

    and others

    Adamczyk, L. and others. Measurement of Interaction between Antiprotons. Nature. 2015. doi:10.1038/nature15724. arXiv:1507.07158

  32. [32]

    and Gong, W

    Lisa, Michael A. and Gong, W. G. and Gelbke, C. K. and Lynch, W. G. Event-mixing analysis of two-proton correlation functions. Phys. Rev. C. 1991. doi:10.1103/PhysRevC.44.2865

  33. [33]

    Kopylov, G. I. Like particle correlations as a tool to study the multiple production mechanism. Phys. Lett. B. 1974. doi:10.1016/0370-2693(74)90263-9

  34. [34]

    Aboona, B. E. and others. Light nuclei femtoscopy and baryon interactions in 3 GeV Au+Au collisions at RHIC. Phys. Lett. B. 2025. doi:10.1016/j.physletb.2025.139412. arXiv:2410.03436

  35. [35]

    and others

    Adams, J. and others. Pion interferometry in Au+Au collisions at S(NN)**(1/2) = 200-GeV. Phys. Rev. C. 2005. doi:10.1103/PhysRevC.71.044906. arXiv:nucl-ex/0411036

  36. [36]

    A miniature prototype of Time Projection Chambers for CSR External-Target Experiment

    Yang, Yuansheng and others. A miniature prototype of Time Projection Chambers for CSR External-Target Experiment. JINST. 2024. doi:10.1088/1748-0221/19/04/T04007