pith. machine review for the scientific record. sign in

arxiv: 2603.22693 · v1 · submitted 2026-03-24 · 🌌 astro-ph.GA

Recognition: no theorem link

HI Gas and Star Formation in Major Galaxy Pairs from the FAST All-Sky HI Survey (FASHI)

Authors on Pith no claims yet

Pith reviewed 2026-05-15 01:17 UTC · model grok-4.3

classification 🌌 astro-ph.GA
keywords galaxy pairsHI gas fractionstar formation efficiencymajor mergersgalaxy interactionsFAST surveyspiral galaxiesred spirals
0
0 comments X

The pith

Galaxy pairs with small separations exhibit 8.8 percent lower HI gas fractions than mass-matched isolated galaxies.

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

This paper uses HI detections from the FAST All-Sky survey to study atomic gas in 440 major galaxy pairs, mostly spiral-spiral systems. It compares the HI gas fraction, star formation rate, and star formation efficiency in these pairs against control galaxies matched by stellar mass and redshift. Close pairs show reduced HI content while spiral-spiral systems convert HI into stars about 15 percent more efficiently. The results indicate that galaxy interactions accelerate gas depletion and boost star formation. A subset of red spirals in pairs behaves differently, displaying both gas deficiency and suppressed activity.

Core claim

Cross-matching the FASHI extragalactic HI catalog with an established sample of isolated major pairs yields the largest such dataset with 364 S+S and 76 S+E systems. Paired galaxies, especially at projected separations below 50 h^{-1} kpc, display HI gas fractions 8.8 percent lower than controls. Star formation rates rise in S+S pairs and their HI star formation efficiency is roughly 15 percent higher, whereas S+E pairs show little change in efficiency. This pattern implies that the merging process drives rapid HI consumption and enhanced star formation, with red spirals in pairs appearing more quiescent.

What carries the argument

HI gas fraction (M_HI over stellar mass), star formation rate, and HI star formation efficiency (SFR over M_HI) measured for individual galaxies in pairs and compared to a stellar-mass and redshift matched control sample.

Load-bearing premise

Matching control galaxies only by stellar mass and redshift is enough to isolate the effects of interactions from other galaxy properties such as environment or morphology.

What would settle it

A larger sample of close pairs that still shows no HI gas deficiency after further matching on local density or morphology would indicate that interactions alone do not drive the observed depletion.

Figures

Figures reproduced from arXiv: 2603.22693 by Andrew Ma, Chuan He, C.Kevin Xu, Junfeng Wang, Ming Zhu, Qingzheng Yu, Shulan Yan, Taotao Fang, Weishan Zhu.

Figure 1
Figure 1. Figure 1: Distribution of the paired galaxies (red) and the control sample (black with slash), matched in mass (a) and redshift (b) [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: (a) H i mass versus stellar mass. (b) H i fraction versus stellar mass. (c) SFR versus stellar mass. Each point represents the S galaxy in one galaxy pair. The galaxies in S+S pairs are shown in blue dots, and those in S+E galaxies are shown in red dots, respectively. The triangles with black edges represent the red spirals. The control galaxies are shown using gray dots in the background. To match FASHI H… view at source ↗
Figure 3
Figure 3. Figure 3: Panel (a) shows histograms of ∆fHI in paired galaxies. Black dotted columns represent ∆fHI for galaxies in all pairs, regardless of pair type. The galaxies in S+S and S+E galaxy pairs are indicated by blue and red shaded columns, respectively. The black, blue, and red dashed lines are the mean value of ∆fHI for the galaxies in all, S+S and S+E pairs, respectively. Panel (b) shows the evolution of ∆fHI at d… view at source ↗
Figure 4
Figure 4. Figure 4: Panel (a) shows histograms of ∆SFR in paired galaxies. Panel (b) shows the evolution of ∆SFR in paired galaxies with different projection separation (dp). Panel (c) represents ∆SFR against stellar mass. Results from Scudder et al. (2015) and Huang et al. (2025) are represented by purple diamonds and gray squares in panel (b) and (c), respectively. In panel (b) and (c), the gray dashed line with 1σ error re… view at source ↗
Figure 5
Figure 5. Figure 5: Plot of log(SFR) versus H i fraction (a) and log(SFEHI) versus H i fraction (b). The color scheme and labels correspond to those used in [PITH_FULL_IMAGE:figures/full_fig_p008_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: ∆SFEHI in different dp. We use black, blue and red points with error bars to indicate the galaxies in the total, S+S and S+E pairs, respectively. The dashed lines are the average ∆SFEHI for the galaxies in total, S+S and S+E pairs, respectively. The shaded region indicates 1σ error region [PITH_FULL_IMAGE:figures/full_fig_p009_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: SFEHI with H i fraction. The blue and red cir￾cles represent the galaxies in S+S and S+E pairs without red spirals, respectively. The black-edge triangles show the results of galaxy pairs containing red-spirals. Stars indicate the results from Zuo et al. (2018). The results from Yu et al. (2022) is shown by black dashed line with 1σ error region. The vertical gray dashed lines at fHI = 0.1 and 0.2 mark the… view at source ↗
Figure 8
Figure 8. Figure 8: The proportion of galaxy pairs with red spirals at different dp. Red spirals in S+S (S+E) pairs are indicated using blue (red) dots, respectively. Black dots represent the proportion of all types. Error bars are binomial distribution uncertainty corresponding at ±1σ level. In this work, we only consider the spiral galaxies in galaxy pairs. Recent studies have shown that a subset of spiral galaxies lies on … view at source ↗
Figure 9
Figure 9. Figure 9: Panel (a) shows the evolution of ∆fHI in unresolved pairs without assignment at different projection separations (dp). Panel (b) represents the same evolution but with HI assignment. REFERENCES Abazajian, K. N., Adelman-McCarthy, J. K., Ag¨ueros, M. A., et al. 2009, ApJS, 182, 543, doi: 10.1088/0067-0049/182/2/543 Abolfathi, B., Aguado, D. S., Aguilar, G., et al. 2018, ApJS, 235, 42, doi: 10.3847/1538-4365… view at source ↗
read the original abstract

Atomic hydrogen (HI) plays a fundamental role in fueling star formation in galaxies. However, the behavior of HI gas in interacting systems, particularly galaxy pairs, remains elusive. In this work, we investigate the HI content of major mergers by cross-matching the extragalactic HI catalog from the FAST All-Sky HI Survey (FASHI) with a previously established sample of isolated galaxy pairs. With the superior sensitivity of FAST, we have constructed the largest sample of major mergers with HI detections, consisting of $440$ galaxy pairs: $364$ spiral-spiral (S+S) and $76$ spiral-elliptical (S+E) systems. We examine the HI gas fraction ($f_{\mathrm{HI}}$), star formation rate (SFR) and HI star formation efficiency ($\mathrm{SFE_{HI}}=\mathrm{SFR}/M_{\rm HI}$) for individual galaxies in pairs. The control sample is matched in both stellar mass and redshift. We find that paired galaxies, particularly those in pairs with small projected separations ($d_{\mathrm{p}}<50\ h^{-1}\mathrm{kpc}$), exhibit systematically lower (by $8.8\%$) HI gas fractions compared to the control galaxies. The SFR is enhanced for galaxies in S+S pairs. $\mathrm{SFE_{HI}}$ is $\sim15\%$ higher for galaxies in S+S pairs than in the control galaxies, while spiral galaxies in S+E pairs show no significant difference in $\mathrm{SFE_{HI}}$ compared to the control sample. These findings suggest that the merging process triggers efficient HI gas depletion and enhances star formation, especially in close S+S pairs. Notably, our sample includes $26$ red spirals in paired systems. These galaxies exhibit HI deficiency and suppressed star formation activity compared to the isolated galaxies, indicating that interactions may affect quiescent spirals differently, potentially due to mechanisms similar to ellipticals.

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 paper cross-matches the FASHI HI catalog with a sample of isolated major galaxy pairs to assemble 440 systems (364 S+S, 76 S+E) and compares their HI gas fractions (f_HI), star-formation rates, and HI star-formation efficiencies (SFE_HI = SFR/M_HI) against a control sample matched only in stellar mass and redshift. It reports an 8.8% lower f_HI for galaxies in close pairs (d_p < 50 h^{-1} kpc), elevated SFR in S+S pairs, and ~15% higher SFE_HI in S+S systems relative to controls, while noting HI deficiency and suppressed SFR in a subsample of 26 red spirals.

Significance. If the control matching adequately isolates interaction effects, the large FASHI-enabled sample supplies one of the most statistically substantial observational constraints to date on how major mergers deplete the atomic-gas reservoir and modulate star-formation efficiency, with separate results for S+S versus S+E systems and for red spirals adding useful granularity.

major comments (3)
  1. [Methods (control-sample construction)] The control-sample construction (described in the methods section) matches only on stellar mass and redshift. Because local density, group membership, and morphological type are known to modulate f_HI independently of interactions, the reported 8.8% deficit and 15% SFE_HI excess cannot be unambiguously attributed to the merging process without additional matching or explicit environmental controls.
  2. [Results (quantitative differences)] The quantitative claims of an 8.8% f_HI reduction and ~15% SFE_HI increase are presented without error bars, bootstrap uncertainties, or Kolmogorov-Smirnov/p-value statistics that incorporate the matching procedure and selection function. This omission makes it impossible to judge whether the offsets exceed the combined statistical and systematic uncertainties.
  3. [Results (subsample analysis)] The S+E subsample (76 pairs) and the red-spiral subsample (26 galaxies) are small; statements that S+E systems show “no significant difference” in SFE_HI and that red spirals are HI-deficient therefore rest on low-number statistics that require explicit robustness tests (e.g., jackknife or Monte-Carlo resampling) before they can support the broader interpretation.
minor comments (2)
  1. [Sample selection] Define the precise criteria used to classify pairs as “isolated” and to assign morphological types (S vs. E) at first mention; the current description leaves open the possibility of projection or classification biases.
  2. [Figures and notation] Ensure that all symbols (f_HI, SFE_HI, d_p, etc.) are defined on first use and that figure captions explicitly state the binning and error treatment applied to the histograms and median trends.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for the constructive comments. We provide point-by-point responses below and indicate the planned revisions.

read point-by-point responses
  1. Referee: [Methods (control-sample construction)] The control-sample construction (described in the methods section) matches only on stellar mass and redshift. Because local density, group membership, and morphological type are known to modulate f_HI independently of interactions, the reported 8.8% deficit and 15% SFE_HI excess cannot be unambiguously attributed to the merging process without additional matching or explicit environmental controls.

    Authors: We note that our pair sample was selected to be isolated, which helps to reduce the influence of group membership and local density. However, we agree that residual environmental effects could play a role. In the revised version, we will add a discussion section addressing potential environmental biases and explore the possibility of additional matching on available density estimates for a subset of the sample. revision: partial

  2. Referee: [Results (quantitative differences)] The quantitative claims of an 8.8% f_HI reduction and ~15% SFE_HI increase are presented without error bars, bootstrap uncertainties, or Kolmogorov-Smirnov/p-value statistics that incorporate the matching procedure and selection function. This omission makes it impossible to judge whether the offsets exceed the combined statistical and systematic uncertainties.

    Authors: We apologize for the oversight in not including uncertainties. We will recalculate the differences with bootstrap resampling to provide error bars and perform statistical tests such as the Kolmogorov-Smirnov test to quantify the significance of the observed offsets, taking into account the matching procedure. revision: yes

  3. Referee: [Results (subsample analysis)] The S+E subsample (76 pairs) and the red-spiral subsample (26 galaxies) are small; statements that S+E systems show “no significant difference” in SFE_HI and that red spirals are HI-deficient therefore rest on low-number statistics that require explicit robustness tests (e.g., jackknife or Monte-Carlo resampling) before they can support the broader interpretation.

    Authors: We acknowledge the small sizes of these subsamples. In the revision, we will include jackknife and Monte-Carlo resampling tests to assess the robustness of our findings for the S+E and red-spiral subsamples, and qualify our statements accordingly. revision: yes

Circularity Check

0 steps flagged

No circularity: purely observational comparison against external control sample

full rationale

The paper reports direct empirical measurements of HI gas fractions, SFR, and SFE_HI in a sample of 440 galaxy pairs drawn from FASHI cross-matched with an isolated pairs catalog, compared to a control sample matched only in stellar mass and redshift. No equations, derivations, or fitted parameters are defined in terms of the target results; the 8.8% deficit and 15% SFE enhancement are stated as observed offsets, not predictions that reduce to the matching procedure by construction. No self-citation chains, ansatzes, or renamings of known results are invoked as load-bearing steps. The analysis is self-contained against external data.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central comparison rests on the assumption that stellar-mass and redshift matching removes all non-interaction differences; no new entities or free parameters are introduced beyond standard survey definitions.

axioms (1)
  • domain assumption Stellar-mass and redshift matching of the control sample isolates interaction-driven effects from other galaxy properties
    Used to define the baseline for HI fraction, SFR, and SFE comparisons

pith-pipeline@v0.9.0 · 5680 in / 1107 out tokens · 40064 ms · 2026-05-15T01:17:55.408639+00:00 · methodology

discussion (0)

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

Reference graph

Works this paper leans on

81 extracted references · 81 canonical work pages · 1 internal anchor

  1. [1]

    N., Adelman-McCarthy, J

    Abazajian, K. N., Adelman-McCarthy, J. K., Ag¨ ueros, M. A., et al. 2009, ApJS, 182, 543, doi: 10.1088/0067-0049/182/2/543

  2. [2]

    S., Aguilar, G., et al

    Abolfathi, B., Aguado, D. S., Aguilar, G., et al. 2018, ApJS, 235, 42, doi: 10.3847/1538-4365/aa9e8a 13 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33, doi: 10.1051/0004-6361/201322068

  3. [3]

    2001, MNRAS, 322, 231, doi: 10.1046/j.1365-8711.2001.04022.x

    Barnes, D. G., Staveley-Smith, L., de Blok, W. J. G., et al. 2001, MNRAS, 322, 486, doi: 10.1046/j.1365-8711.2001.04102.x

  4. [4]

    E., & Hernquist, L

    Barnes, J. E., & Hernquist, L. 1996, ApJ, 471, 115, doi: 10.1086/177957

  5. [5]

    Bessell, M. S. 1990, PASP, 102, 1181, doi: 10.1086/132749

  6. [6]

    R., Schlegel, D

    Blanton, M. R., Schlegel, D. J., Strauss, M. A., et al. 2005, AJ, 129, 2562, doi: 10.1086/429803

  7. [7]

    L., Gilbank, D

    Bok, J., Blyth, S. L., Gilbank, D. G., & Elson, E. C. 2019, MNRAS, 484, 582, doi: 10.1093/mnras/sty3448

  8. [8]

    E., Jarrett, T

    Bok, J., Cluver, M. E., Jarrett, T. H., et al. 2022, MNRAS, 513, 2581, doi: 10.1093/mnras/stac1036

  9. [9]

    E., Cluver, M

    Bok, J., Skelton, R. E., Cluver, M. E., et al. 2020, MNRAS, 499, 3193, doi: 10.1093/mnras/staa3034

  10. [10]

    2015, ApJ, 813, 46, doi: 10.1088/0004-637X/813/1/46

    Borthakur, S., Heckman, T., Tumlinson, J., et al. 2015, ApJ, 813, 46, doi: 10.1088/0004-637X/813/1/46

  11. [11]

    R., Ellison, S

    Brown, W., Patton, D. R., Ellison, S. L., & Faria, L. 2023, MNRAS, 522, 5107, doi: 10.1093/mnras/stad1314

  12. [12]

    2004, A&A, 422, 941, doi: 10.1051/0004-6361:20040283

    Casasola, V., Bettoni, D., & Galletta, G. 2004, A&A, 422, 941, doi: 10.1051/0004-6361:20040283

  13. [13]

    2018, MNRAS, 476, 875, doi: 10.1093/mnras/sty089

    Catinella, B., Saintonge, A., Janowiecki, S., et al. 2018, MNRAS, 476, 875, doi: 10.1093/mnras/sty089

  14. [14]

    Ram Pressure Stripping of Disc Galaxies: The Role of the Inclination Angle , shorttitle =

    Cox, T. J., Jonsson, P., Primack, J. R., & Somerville, R. S. 2006, MNRAS, 373, 1013, doi: 10.1111/j.1365-2966.2006.11107.x

  15. [15]

    2024, MNRAS, 528, 2391, doi: 10.1093/mnras/stae156

    Cui, J., Gu, Q., & Shi, Y. 2024, MNRAS, 528, 2391, doi: 10.1093/mnras/stae156

  16. [16]

    2012, Research in Astronomy and Astrophysics, 12, 1197, doi: 10.1088/1674-4527/12/9/003

    Cui, X.-Q., Zhao, Y.-H., Chu, Y.-Q., et al. 2012, Research in Astronomy and Astrophysics, 12, 1197, doi: 10.1088/1674-4527/12/9/003 D´ enes, H., Kilborn, V. A., & Koribalski, B. S. 2014, MNRAS, 444, 667, doi: 10.1093/mnras/stu1337

  17. [17]

    2018, MNRAS, 480, 947, doi: 10.1093/mnras/sty1872

    Dutta, R., Srianand, R., & Gupta, N. 2018, MNRAS, 480, 947, doi: 10.1093/mnras/sty1872

  18. [18]

    S., et al

    Elbaz, D., Dickinson, M., Hwang, H. S., et al. 2011, A&A, 533, A119, doi: 10.1051/0004-6361/201117239

  19. [19]

    L., Catinella, B., & Cortese, L

    Ellison, S. L., Catinella, B., & Cortese, L. 2018, MNRAS, 478, 3447, doi: 10.1093/mnras/sty1247

  20. [20]

    L., Fertig, D., Rosenberg, J

    Ellison, S. L., Fertig, D., Rosenberg, J. L., et al. 2015, MNRAS, 448, 221, doi: 10.1093/mnras/stu2744

  21. [21]

    A., & Pan, K

    Feng, S., Shen, S.-Y., Yuan, F.-T., Riffel, R. A., & Pan, K. 2020, ApJL, 892, L20, doi: 10.3847/2041-8213/ab7dba

  22. [22]

    2024, ApJ, 965, 60, doi: 10.3847/1538-4357/ad343e —

    Feng, S., Shen, S.-Y., Yuan, F.-T., et al. 2024, ApJ, 965, 60, doi: 10.3847/1538-4357/ad343e —. 2019, ApJ, 880, 114, doi: 10.3847/1538-4357/ab24da

  23. [23]

    L., Patton, D

    Ferreira, L., Ellison, S. L., Patton, D. R., et al. 2025, MNRAS, 538, L31, doi: 10.1093/mnrasl/slaf004

  24. [24]

    E., et al

    Fukugita, M., Ichikawa, T., Gunn, J. E., et al. 1996, AJ, 111, 1748, doi: 10.1086/117915

  25. [25]
  26. [26]

    P., Kent, B

    Giovanelli, R., Haynes, M. P., Kent, B. R., et al. 2005, AJ, 130, 2598, doi: 10.1086/497431

  27. [27]

    2020, ApJ, 897, 162, doi: 10.3847/1538-4357/ab9b75

    Guo, R., Hao, C.-N., Xia, X., et al. 2020, ApJ, 897, 162, doi: 10.3847/1538-4357/ab9b75

  28. [28]

    Y., Mao, S., & Shi, Y

    Guo, R., Hao, C.-N., Xia, X. Y., Mao, S., & Shi, Y. 2016, ApJ, 826, 30, doi: 10.3847/0004-637X/826/1/30

  29. [29]

    P., Giovanelli, R., Martin, A

    Haynes, M. P., Giovanelli, R., Martin, A. M., et al. 2011, AJ, 142, 170, doi: 10.1088/0004-6256/142/5/170

  30. [30]

    P., Giovanelli, R., Kent, B

    Haynes, M. P., Giovanelli, R., Kent, B. R., et al. 2018, ApJ, 861, 49, doi: 10.3847/1538-4357/aac956

  31. [31]

    E., & van Gorkom, J

    Hibbard, J. E., & van Gorkom, J. H. 1996, AJ, 111, 655, doi: 10.1086/117815

  32. [32]

    E., & Yun, M

    Hibbard, J. E., & Yun, M. S. 1999, AJ, 118, 162, doi: 10.1086/300928

  33. [33]

    2025, ApJ, 980, 157, doi: 10.3847/1538-4357/ad9579

    Huang, Q., Wang, J., Lin, X., et al. 2025, ApJ, 980, 157, doi: 10.3847/1538-4357/ad9579

  34. [34]

    2017, MNRAS, 466, 4795, doi: 10.1093/mnras/stx046

    Janowiecki, S., Catinella, B., Cortese, L., et al. 2017, MNRAS, 466, 4795, doi: 10.1093/mnras/stx046

  35. [35]

    2019, Science China

    Jiang, P., Yue, Y., Gan, H., et al. 2019, Science China

  36. [36]

    Physics, Mechanics, and Astronomy, 62, 959502, doi: 10.1007/s11433-018-9376-1

  37. [37]

    2020, Research in Astronomy and Astrophysics, 20, 064, doi: 10.1088/1674-4527/20/5/64

    Jiang, P., Tang, N.-Y., Hou, L.-G., et al. 2020, Research in Astronomy and Astrophysics, 20, 064, doi: 10.1088/1674-4527/20/5/64

  38. [38]

    Koribalski, B., & Dickey, J. M. 2004, MNRAS, 348, 1255, doi: 10.1111/j.1365-2966.2004.07444.x

  39. [39]

    S., Staveley-Smith, L., Westmeier, T., et al

    Koribalski, B. S., Staveley-Smith, L., Westmeier, T., et al. 2020, Ap&SS, 365, 118, doi: 10.1007/s10509-020-03831-4

  40. [40]

    1993, MNRAS, 262, 627, doi: 10.1093/mnras/262.3.627

    Lacey, C., & Cole, S. 1993, MNRAS, 262, 627, doi: 10.1093/mnras/262.3.627

  41. [41]

    Lehner, N., & Howk, J. C. 2011, Science, 334, 955, doi: 10.1126/science.1209069

  42. [42]

    J., et al

    Li, X., Li, C., Mo, H. J., et al. 2024, ApJ, 963, 86, doi: 10.3847/1538-4357/ad1ce3

  43. [43]

    2025, ApJ, 982, 151, doi: 10.3847/1538-4357/adb718

    Lin, X., Wang, J., Staveley-Smith, L., et al. 2025, ApJ, 982, 151, doi: 10.3847/1538-4357/adb718

  44. [44]

    The Merger Rates and Mass Assembly Histories of Dark Matter Haloes in the Two

    Lintott, C., Schawinski, K., Bamford, S., et al. 2011, MNRAS, 410, 166, doi: 10.1111/j.1365-2966.2010.17432.x

  45. [45]

    and Wilkinson, M

    Lintott, C. J., Schawinski, K., Slosar, A., et al. 2008, MNRAS, 389, 1179, doi: 10.1111/j.1365-2966.2008.13689.x

  46. [46]

    K., Gao, Y., et al

    Lisenfeld, U., Xu, C. K., Gao, Y., et al. 2019, A&A, 627, A107, doi: 10.1051/0004-6361/201935536

  47. [47]

    K., Driver, S

    Liske, J., Baldry, I. K., Driver, S. P., et al. 2015, MNRAS, 452, 2087, doi: 10.1093/mnras/stv1436 14

  48. [48]

    L., Zhao, Y.-H., Zhao, G., et al

    Luo, A. L., Zhao, Y.-H., Zhao, G., et al. 2015, Research in Astronomy and Astrophysics, 15, 1095, doi: 10.1088/1674-4527/15/8/002 Mancera Pi˜ na, P. E., Posti, L., Fraternali, F., Adams, E. A. K., & Oosterloo, T. 2021a, A&A, 647, A76, doi: 10.1051/0004-6361/202039340 Mancera Pi˜ na, P. E., Posti, L., Pezzulli, G., et al. 2021b, A&A, 651, L15, doi: 10.1051...

  49. [49]

    2004, MNRAS, 351, 1379, doi: 10.1111/j.1365-2966.2004.07876.x

    Meyer, M. J., Zwaan, M. A., Webster, R. L., et al. 2004, MNRAS, 350, 1195, doi: 10.1111/j.1365-2966.2004.07710.x

  50. [50]

    C., & Hernquist, L

    Mihos, J. C., & Hernquist, L. 1996, ApJ, 464, 641, doi: 10.1086/177353

  51. [51]

    C., & White, S

    Mo, H., van den Bosch, F. C., & White, S. 2010, Galaxy Formation and Evolution

  52. [52]

    2019, ApJ, 882, 14, doi: 10.3847/1538-4357/ab3401

    Moon, J.-S., An, S.-H., & Yoon, S.-J. 2019, ApJ, 882, 14, doi: 10.3847/1538-4357/ab3401

  53. [53]

    L., et al

    Moreno, J., Torrey, P., Ellison, S. L., et al. 2019, MNRAS, 485, 1320, doi: 10.1093/mnras/stz417 —. 2021, MNRAS, 503, 3113, doi: 10.1093/mnras/staa2952

  54. [54]

    2018, ApJ, 868, 132, doi: 10.3847/1538-4357/aaeb92

    Pan, H.-A., Lin, L., Hsieh, B.-C., et al. 2018, ApJ, 868, 132, doi: 10.3847/1538-4357/aaeb92

  55. [55]

    Scudder, J. M. 2013, MNRAS, 433, L59, doi: 10.1093/mnrasl/slt058

  56. [56]

    2019, MNRAS, 483, 3213, doi: 10.1093/mnras/sty3210

    Popesso, P., Concas, A., Morselli, L., et al. 2019, MNRAS, 483, 3213, doi: 10.1093/mnras/sty3210

  57. [57]

    Salim, S., Boquien, M., & Lee, J. C. 2018, ApJ, 859, 11, doi: 10.3847/1538-4357/aabf3c

  58. [58]

    C., Janowiecki, S., et al

    Salim, S., Lee, J. C., Janowiecki, S., et al. 2016, ApJS, 227, 2, doi: 10.3847/0067-0049/227/1/2

  59. [59]

    2008, A&A Rv, 15, 189, doi: 10.1007/s00159-008-0010-0

    Sancisi, R., Fraternali, F., Oosterloo, T., & van der Hulst, T. 2008, A&A Rv, 15, 189, doi: 10.1007/s00159-008-0010-0

  60. [60]

    M., Simmons, B

    Schawinski, K., Urry, C. M., Simmons, B. D., et al. 2014, MNRAS, 440, 889, doi: 10.1093/mnras/stu327

  61. [61]

    M., Ellison, S

    Scudder, J. M., Ellison, S. L., Momjian, E., et al. 2015, MNRAS, 449, 3719, doi: 10.1093/mnras/stv588

  62. [62]

    Mendel, J. T. 2012, MNRAS, 426, 549, doi: 10.1111/j.1365-2966.2012.21749.x

  63. [63]

    and Copin, Y

    Shen, S., Mo, H. J., White, S. D. M., et al. 2003, MNRAS, 343, 978, doi: 10.1046/j.1365-8711.2003.06740.x

  64. [64]

    McConnachie, A. W. 2011, ApJS, 196, 11, doi: 10.1088/0067-0049/196/1/11

  65. [65]

    2022, MNRAS, 509, 2720, doi: 10.1093/mnras/stab3171

    Sparre, M., Whittingham, J., Damle, M., et al. 2022, MNRAS, 509, 2720, doi: 10.1093/mnras/stab3171

  66. [66]

    Taylor, M. B. 2005, in Astronomical Society of the Pacific Conference Series, Vol. 347, Astronomical Data Analysis Software and Systems XIV, ed. P. Shopbell, M. Britton, & R. Ebert, 29

  67. [67]

    J., Kewley, L., & Hernquist, L

    Torrey, P., Cox, T. J., Kewley, L., & Hernquist, L. 2012, ApJ, 746, 108, doi: 10.1088/0004-637X/746/1/108

  68. [68]

    L., Sargent, M., et al

    Violino, G., Ellison, S. L., Sargent, M., et al. 2018, MNRAS, 476, 2591, doi: 10.1093/mnras/sty345

  69. [69]

    E., et al

    Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261, doi: 10.1038/s41592-019-0686-2

  70. [70]

    2020, ApJ, 890, 63, doi: 10.3847/1538-4357/ab68dd

    Wang, J., Catinella, B., Saintonge, A., et al. 2020, ApJ, 890, 63, doi: 10.3847/1538-4357/ab68dd

  71. [71]

    2022, MNRAS, 516, 2337, doi: 10.1093/mnras/stac2292

    Wang, L., Zheng, Z., Hao, C.-N., et al. 2022, MNRAS, 516, 2337, doi: 10.1093/mnras/stac2292

  72. [72]

    2025, MNRAS, doi: 10.1093/mnras/staf273

    Wang, S., Wang, J., Lee-Waddell, K., et al. 2025, MNRAS, doi: 10.1093/mnras/staf273

  73. [73]

    Y., Gao, Y., & Gruendl, R

    Wang, W.-H., Lo, K. Y., Gao, Y., & Gruendl, R. A. 2001, AJ, 122, 140, doi: 10.1086/321112

  74. [74]

    Ram Pressure Stripping of Disc Galaxies: The Role of the Inclination Angle , shorttitle =

    Wong, O. I., Ryan-Weber, E. V., Garcia-Appadoo, D. A., et al. 2006, MNRAS, 371, 1855, doi: 10.1111/j.1365-2966.2006.10846.x

  75. [75]

    2024, ApJ, 971, 165, doi: 10.3847/1538-4357/ad5836

    Xu, X., Wang, J., Li, Z., & Chen, Y. 2024, ApJ, 971, 165, doi: 10.3847/1538-4357/ad5836

  76. [76]

    2022, ApJ, 934, 114, doi: 10.3847/1538-4357/ac78e6

    Yu, Q., Fang, T., Feng, S., et al. 2022, ApJ, 934, 114, doi: 10.3847/1538-4357/ac78e6

  77. [77]

    K., et al

    Yu, Q., Fang, T., Xu, C. K., et al. 2024, ApJS, 273, 2, doi: 10.3847/1538-4365/ad4547

  78. [78]

    2024, Science China

    Zhang, C.-P., Zhu, M., Jiang, P., et al. 2024, Science China

  79. [79]

    Physics, Mechanics, and Astronomy, 67, 219511, doi: 10.1007/s11433-023-2219-7

  80. [80]

    Research in Astronomy and Astrophysics , year = 2012, month = jul, volume =

    Zhao, G., Zhao, Y.-H., Chu, Y.-Q., Jing, Y.-P., & Deng, L.-C. 2012, Research in Astronomy and Astrophysics, 12, 723, doi: 10.1088/1674-4527/12/7/002

Showing first 80 references.