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REVIEW 4 major objections 4 minor 142 references

Tidal Structures Around Edge-On Galaxies in Deep Imaging Surveys

T0 review · 4 major / 4 minor · reviewed 2026-08-01 · deepseek-v4-flash

Pith's one-line read At a typical r-band depth of 28.6 mag arcsec⁻², roughly 6 percent of edge-on disk galaxies show tidal debris, and the fraction climbs with stellar mass — a result that matches modern high-resolution simulations but not older ones.

desk verdict Solid large-sample measurement of tidal feature incidence in edge-on galaxies; headline ~6% is well-supported at DESI depth but remains hostage to single-group visual classification, a caveat the authors themselves state. read the letter →

arxiv 2607.16664 v1 pith:FUR3AFK3 submitted 2026-07-18 astro-ph.GA

classification astro-ph.GA
keywords tidalstructureslowsurfacebrightnessedge-ongalaxiesgalaxyinteractionscosmologicalsimulationsgalacticcirrusvisualclassificationmergerdebris
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

The paper tries to establish a reliable census of low-surface-brightness tidal structures around edge-on disk galaxies using the two largest catalogs available, processed with a homogeneous pipeline and visually classified. It finds that only about 6% of galaxies in completeness-limited subsamples of both catalogs host such features, despite earlier simulations predicting 20–40%. The paper argues this low fraction is real, not a detection failure: it rises with stellar mass (11–15% for galaxies above 10^10.5 solar masses), is consistent with previous surveys of similar depth, and matches the latest high-resolution cosmological simulations. If correct, it means survey depth, galaxy mass, and numerical resolution — not just interaction history — determine how often we see tidal debris, and that current census numbers are lower limits.

What carries the argument

The key machinery is the combination of (1) two large, independently constructed catalogs of edge-on disk galaxies (EGIS, EGIPS) selected by morphology and separately completeness-limited; (2) a uniform image-processing pipeline optimized for faint diffuse emission, with careful artifact and cirrus handling; and (3) a visually defined taxonomy of tidal features (tails, streams, shells, plumes, fans, bridges, arcs, loops, satellite debris) that is deliberately lumped into a single 'has any tidal feature' statistic. The quantitative anchor is the r-band surface-brightness depth of 28.6 mag arcsec⁻², the same depth as the Stripe 82 pilot survey and the depth at which mock observations from mode

What would settle it

Take a random subset of ~500 galaxies from the EGIS complete sample and have them re-classified blind by an independent team (or by the same team after a wash-out period), using the same processed images; if the disagreement in 'any tidal feature' exceeds ~3% and shifts the incidence outside ~4–8%, the 6% estimate is not robust. More decisive: inject synthetic tidal features of known surface brightness into the DESI images and measure the recovery fraction; if the recovery fraction at 28.6 mag arcsec⁻² is well below ~0.6 for the faintest detectable features, then the observed 6% is a detection

Watch

Extended reading notes

Core claim

The central claim is that at an r-band surface-brightness depth of ~28.6 mag arcsec⁻², the incidence of LSB tidal features around edge-on disk galaxies is about 6% (6.4% in the EGIS completeness-limited subsample and 6.2% in EGIPS), not the 20–40% claimed by many older simulations. The paper shows that restricting to complete subsamples yields consistent values across two independent catalogs, that the fraction increases steeply with stellar mass, and that deeper HSC/APO data reveal additional features, implying the observed fraction is a lower limit. The paper concludes that modern high-resolution simulations with realistic mock observations reproduce the observed incidence, whereas older,

Load-bearing premise

The entire census rests on the assumption that visual inspection by one research group, with a ~3% disagreement rate borrowed from another study, reliably detects and correctly rejects tidal features at 28.6 mag arcsec⁻²; if shared biases systematically miss faint features (or flag cirrus/artifacts), the 6% fraction shifts, and the paper's own extrapolation to deeper data indicates the true fraction could be higher.

Editorial extensions

If this is right

  • If the ~6% figure is right, then at current survey depth only about 1 in 16 edge-on disk galaxies shows detectable merger debris, making low-surface-brightness tidal features a minority phenomenon at z~0.05.
  • The measured increase of tidal fraction with stellar mass (to 11–15% above ~10^10.5 M_sun) means any fair comparison between surveys or simulations must control for stellar mass, not just depth.
  • The leap from ~6% to ~9.6% when extrapolating to HSC-like depth implies that forthcoming deeper surveys (e.g., LSST) should recover significantly more tidal features, and that published fractions are lower limits.
  • The agreement between the two independent catalogs and with modern high-resolution simulations supports the view that realistic galaxy-formation physics suppresses long-lived, easily detectable tidal debris, contrary to earlier theoretical predictions.
  • The deeper APO follow-up showing hidden extensions and new structures in individual galaxies suggests that current classification yields only a partial view of the outer stellar envelope, motivating deeper imaging of complete samples.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If survey depth is the dominant lever, then the ~6% value should not be treated as an intrinsic merger-rate measurement; instead, the paper's own extrapolation suggests the intrinsic incidence could be closer to ~10% or higher at LSST depths, and the mass-dependent trend will be sharpened.
  • A testable extension: run the same pipeline on mock images with known injected tidal features and measure the recovery fraction as a function of surface brightness and stellar mass; this would convert the visual-classification fractions into a completeness-corrected incidence, which the paper does not provide.
  • The convergence between the 6% observation and modern simulation predictions implies that older 20–40% predictions were inflated by numerical resolution and simplified physics, which in turn suggests that simulations should now be used to predict the mass- and redshift-dependence of tidal feature visibility rather than just the mean fraction.
  • Another consequence: if deeper data preferentially reveal coherent streams and shells in galaxies already flagged as feature hosts, then the morphological classification (tails vs shells vs loops) may be less meaningful than the paper assumes; lumping all categories into one 'any feature' statistic is a reasonable first step, but a physical decomposition awaits kinematic follow-up.
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Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

4 major / 4 minor

Summary. The paper presents a statistical study of low-surface-brightness (LSB) tidal structures in two large samples of edge-on disk galaxies: 5606 EGIS galaxies and 14,237 EGIPS galaxies, using DESI Legacy Imaging Surveys data, supplemented by HSC-SSP and targeted APO follow-up. After homogeneous image processing optimized for faint diffuse emission, tidal features are identified through visual inspection and classified into standard morphological categories. The authors report detection rates of 5.8% (EGIS) and 4.8% (EGIPS) in the full samples, and 6.4% and 6.2% in completeness-limited subsamples. They extrapolate that full HSC coverage would increase the fraction to 9.6±1.4% (EGIS) or 9.4±1.4% (EGIPS). The central claim is that at a typical DESI r-band surface-brightness depth of 28.6 mag arcsec^-2, the incidence of LSB tidal structures is ~6%, consistent with some recent high-resolution simulations (e.g., TNG50 at ~7%) but lower than many earlier simulation predictions of 20–40%. The paper discusses projection, classification, redshift, and stellar-mass biases, and compares with observational and theoretical literature.

Significance. If the ~6% incidence figure is robust, this would be an important anchor for galaxy evolution studies: a large, homogeneous census of tidal structures in edge-on galaxies, with two independent catalogs, a public classification catalog, and a direct comparison to modern cosmological simulations. The paper also highlights the critical role of imaging depth and galaxy mass in measuring merger/tidal statistics, and the APO follow-up demonstrates that shallow survey images can miss or fragment extended features. The public catalog and reproducible processing pipeline are useful community resources. The main significance rests on the accuracy of the visual classification and the representativeness of the depth corrections; these are the weakest points and need to be addressed before the headline number can be taken at face value.

major comments (4)
  1. [Section 5.2, Section 6.2, Table 3] The headline incidence rates (6.4% EGIS, 6.2% EGIPS) are produced entirely by visual classification by a single research group. The paper acknowledges in Section 6.2 that shared biases are difficult to quantify, but the only uncertainty quoted is a ~3% inter-observer disagreement rate from Bridge et al. (2010), which is not a measure of systematic sensitivity at DESI depth, for edge-on galaxies, or for this taxonomy. The two samples were classified by the same team, so their agreement does not control for a shared threshold. Because the central claim is a specific absolute fraction, the absence of an independent blind reclassification or a mock-injection completeness test is load-bearing. At minimum, the headline should be presented as a lower limit with an explicit statement of the unknown systematic bias.
  2. [Section 6.2, depth extrapolation] The HSC-SSP depth comparison uses only 10.4% of the EGIS sample (597 galaxies) to derive 19 additional detections and an extrapolated full-coverage fraction of 9.6±1.4%, a ~60% relative increase over the headline 6.4%. This extrapolation assumes the HSC-overlap subset is representative of the entire sample in galaxy mass, redshift, and morphology; no test of this assumption is provided. If the HSC footprint preferentially covers more massive or lower-redshift galaxies, the extrapolation would be biased. This uncertainty directly affects the interpretation of the result as a measurement at a fixed DESI depth versus an intrinsic incidence, and the paper should state clearly that the observed 6–7% is a depth-limited lower limit, not a corrected incidence.
  3. [Sections 4.1, 4.2, and 4.3] The image-processing choices for DR10 vs DR9 and PDR3 vs PDR2 are described qualitatively: for 'a subset of cases' with overly aggressive sky subtraction, the authors reverted to earlier data releases, but the number of such cases, the selection criteria, and the effect on the final images are not quantified. This makes the effective depth and the uniformity of the processed sample unclear and could affect which diffuse structures are visible. The authors should provide statistics on how many images were reverted, how the decision was made, and ideally a comparison of classifications with and without the reversion.
  4. [Section 6.6, comparison to simulations] The comparison with TNG50 at ~7% (Miró-Carretero et al. 2025) is used as a key conclusion, but the manuscript does not state whether the simulation mock sample matches the completeness-limited EGIS/EGIPS selection in stellar mass, redshift, inclination, or surface-brightness limit, nor whether the same classification taxonomy and visual-inspection procedure were applied. Without this information, the formal agreement between 6.4% and ~7% could be fortuitous. The authors should either specify the selection and detection methodology of the simulation comparison or soften the claim of quantitative agreement.
minor comments (4)
  1. [Section 4.3] The field of view of ARCTIC is written as '7.85 arcmin2'; use 'arcmin^2' (or square arcminutes) for consistency with the rest of the paper.
  2. [Reference [15]] The title of Aihara et al. (2022) appears to have a typo: 'Ublications' should be 'Publications'.
  3. [Section 6.3] The Mann–Whitney U test p-values are reported as p=0.355 (EGIS) and p=6.4e-4 (EGIPS). The differing significance is not discussed; a brief interpretation of why EGIS does not show a significant redshift offset while EGIPS does would help the reader.
  4. [Figure 8] The caption states the average difference between observed and intrinsic surface brightness is '~0.05 for EGIS' without specifying units; please clarify whether this is in mag arcsec^-2 and whether the same applies to the EGIPS sample (which is not shown in the figure).

Circularity Check

0 steps flagged · score 2.0 of 10

No significant circularity: the ~6% incidence is a new measured fraction; the only self-referential element is the same-group pilot methodology, which is not load-bearing.

full rationale

The central claim (6.4% EGIS, 6.2% EGIPS) is a direct count from visual classification of processed DESI/HSC images, not a quantity derived from a model fitted to the data. The comparison with simulations (TNG50 ~7%, older simulations 20–40%) is an external benchmark, not an input to the measurement. The HSC extrapolation to ~9.6% is a transparent statistical scaling of 19 additional detections from a 10.4% coverage subset, not a hidden fit. The only self-citation of note is Skryabina et al. [48] (same group's pilot study), which is used for methodology and as a comparison point; it does not supply the headline incidence or force the result. The paper itself flags the main limitation—'the use of a single research group introduces the possibility of shared biases' (Section 6.2)—but that is a correctness/robustness concern, not a circularity. Therefore no load-bearing circular step exists.

Assumptions & free parameters 0 free parameters · 3 assumptions · 0 invented entities

No new physical entities are introduced. The central claim relies on the reliability of visual classification as a proxy for true tidal structures and on the completeness/representativeness of the input catalogs. There are no free parameters fitted to produce the incidence rates; the rates are straightforward counts.

assumptions (3)
  • domain assumption Tidal features identified through visual inspection correspond to genuine tidal debris rather than artifacts, cirrus, or background fluctuations.
    The entire classification rests on this premise. The paper mitigates with multiple classifiers and cirrus screening but states the classification is inherently subjective (Section 5.2, 6.2).
  • domain assumption The EGIS and EGIPS catalogs are representative, statistically complete samples of edge-on disk galaxies at z~0.05, with completeness limits as described (major-axis diameter >28 arcsec for EGIS, r-band semi-major axis >6 arcsec for EGIPS).
    The incidence fractions are only meaningful relative to the parent sample. The catalogs were built by visual/CNN selection, and incompleteness could bias the fraction (Section 2).
  • domain assumption Cosmological surface-brightness dimming is negligible for these samples (mean factor 1.14 and 1.1 in EGIS and EGIPS).
    The paper argues this in Section 6.3; if incorrect, redshift-dependent detection biases could change the incidence comparison.

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Cite this review

Pith. "Pith review of Tidal Structures Around Edge-On Galaxies in Deep Imaging Surveys." pith.science (2026). https://pith.science/paper/FUR3AFK3

@misc{pith2026260716664,
  author       = {Pith},
  title        = {Pith review of: Tidal Structures Around Edge-On Galaxies in Deep Imaging Surveys},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/FUR3AFK3}},
  note         = {Machine review of arXiv:2607.16664}
}
abstract

We present a statistical study of low-surface-brightness (LSB) tidal structures in two large samples of edge-on disk galaxies. Our primary sample comprises 5606 galaxies from the Edge-on Galaxies In SDSS (EGIS) catalog, analyzed using imaging from the DESI Legacy Imaging Surveys, supplemented by Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) data and deep Apache Point Observatory (APO) follow-up observations for selected objects. To assess the robustness of our results, we also examine an independent sample of 14,237 galaxies from the Edge-on Galaxies in the Pan-STARRS survey (EGIPS) catalog. All images were processed using a homogeneous procedure optimized for the detection of faint diffuse emission. Tidal structures were identified through visual inspection and classified into established morphological categories, with careful treatment of imaging artifacts and galactic cirrus contamination. We detected tidal features in 324 EGIS galaxies and 690 EGIPS galaxies, corresponding to incidence rates of 5.8% and 4.8%, respectively. Restricting the analysis to completeness-limited subsamples yields consistent fractions of 6.4% and 6.2%. At a typical DESI $r$-band surface-brightness depth of 28.6 mag arcsec$^{-2}$ these values are consistent with previous observational studies but lower than predictions from many cosmological simulations. Recent high-resolution simulations, however, produce incidence rates much closer to those measured here, suggesting that numerical resolution, realistic modeling of observational and instrumental effects, and galaxy formation physics are all critical for accurately predicting the abundance of LSB tidal structures.

Figures

Figures reproduced from arXiv: 2607.16664 by the authors.

Figure 1
Figure 1. Distribution of photometric depth (surface brightness) across all wavebands of the DESI data for the sample galaxies, measured within a 10′′ × 10′′ box at the 3σ level [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Examples of galaxies with different types of LSB tidal features in the EGIS catalog. The target galaxy region enclosed by the r-band 25 mag arcsec−2 isophote shows a DESI RGB composite (grz), while the surrounding area displays an enhanced coadded image constructed from the g, r, and i bands (where available), emphasizing the faint tidal structures. All the images were rotated so that the galaxy’s major axis is orie… view at source ↗
Figure 3
Figure 3. Examples of galaxies exhibiting different types of LSB tidal features in the EGIPS catalog. The image presentation is identical to that of [PITH_FULL_IMAGE:figures/full_fig_p010_3.png] view at source ↗
Figures from the paper (11 more)
Figure 4
Figure 4. Figure 4: Cont [PITH_FULL_IMAGE:figures/full_fig_p016_4.png]
Figure 4
Figure 4. Figure 4: Cont [PITH_FULL_IMAGE:figures/full_fig_p017_4.png]
Figure 4
Figure 4. Figure 4: Cont [PITH_FULL_IMAGE:figures/full_fig_p018_4.png]
Figure 4
Figure 4. Figure 4: APO images presented with DESI and RGB DESI images (created using g, r, and z bands) [PITH_FULL_IMAGE:figures/full_fig_p019_4.png]
Figure 5
Figure 5. Figure 5: Examples of Galactic cirrus with relative brightness levels classified as dim (left), moderate (middle), and bright (right). Each image is centered on a galaxy from the EGIS catalog. The green bars indicate angular scales of 30′′ . Using this procedure, we identified 5…
Figure 6
Figure 6. Figure 6: compares the IR intensity distributions for fields with and without optical cirrus con￾tamination. As expected, contaminated fields exhibit systematically higher IR intensities on average, reflecting enhanced cold dust emission. However, the two distributions show subs…
Figure 7
Figure 7. Figure 7: Comparison of image depth for the same galaxy in DESI (a) and HSC-SSP (b). A faint tidal stream is visible in the HSC-SSP image as an arc extending below the galactic plane, while it remains undetected in the shallower DESI data. The influence of the photometric depth …
Figure 8
Figure 8. Figure 8: Distribution of the measured median surface brightness in the r band within high-confidence tidal features in the EGIS sample. The distribution is overlaid with the intrinsic surface brightness, corrected for cosmological dimming. A small offset between the observed an…
Figure 9
Figure 9. Figure 9: shows the spectroscopic redshift distributions of galaxies with and without tidal features for the EGIS and EGIPS samples. For both samples, galaxies hosting tidal features are systematically shifted toward lower redshifts compared to galaxies without such features. Th…
Figure 10
Figure 10. Figure 10: Stellar mass distribution for galaxies from the EGIS (a) and the EGIPS (b) samples calculated using WISE mid-infrared photometry. Both plots compare the masses of complete galaxies with tidal features and those without [PITH_FULL_IMAGE:figures/full_fig_p025_10.png]
Figure 11
Figure 11. Figure 11: Tidal fraction for galaxies divided into stellar mass bins for the complete EGIS and EGIPS samples. The error bars represent the 1σ binomial uncertainties. The points are offset slightly to prevent overlap. 6.5. Comparison to Observational Studies To place our results…

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