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Tracing the origins of galaxy lopsidedness across cosmic time

T0 review · 4 major / 4 minor · reviewed 2026-08-12 · deepseek-v4-flash

Pith's one-line read This paper claims that the high fraction of lopsided galaxies observed at 1.5<z<2 is reproduced by the TNG50 simulations, that lopsidedness declines toward z=0, and that the decline reflects tidal interactions and gas accretion being more…

desk verdict Useful TNG50 result on the redshift evolution of lopsidedness, but the 'more effective mechanisms at high-z' claim is overstated: the comparisons are not matched and reverse causality remains a live possibility. read the letter →

arxiv 2411.19426 v1 pith:INQY2MZL submitted 2024-11-29 astro-ph.GA

classification astro-ph.GA
keywords galaxies:high-redshiftinteractionsstructurestarformationlopsidednessdiskgalaxiesIllustrisTNGFourierdecomposition
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

This paper uses the TNG50 cosmological simulation to ask whether the high fraction of lopsided disk galaxies seen by JWST at 1.51:10 and gas accretion followed by star formation, work at all redshifts, but that both are significantly more effective at high redshift. If correct, this explains the JWST excess as genuinely more efficient perturbation mechanisms in the early universe.

What carries the argument

The measurement engine is the azimuthal Fourier decomposition of the face-on stellar mass distribution of TNG50 disk galaxies. The first-mode amplitude, $A_1$, is computed in concentric annuli of width 0.1 kpc and averaged over $R_h < r < 1.4 R_{90}$, inside $|h_z| < 2 h_{90}$, with $A_1 > 0.1$ defining a lopsided galaxy. The sample is built at each redshift with the $\lambda_R$-$\epsilon$ diagram ($\lambda_R > 0.31\sqrt{\epsilon}$, $\epsilon > 0.4$, $R_{90} > 3$ kpc), so each redshift is an independently selected population of disk-like galaxies. The redshift-resolved sample is what allows the authors to separate internal susceptibility from the efficiency of external triggers.

What would settle it

A concrete check: measure the lopsided fraction of a JWST sample at 1.5<z<2 using the same first-mode amplitude metric on mock images of TNG50 galaxies; if the recovered fraction is well below the stated ~60% because the selected disks are systematically different at high z, the redshift trend would be shown to be a selection artifact. Alternatively, running the same selection on a larger TNG volume and finding the high-redshift fraction consistent with ~30% rather than ~60% would falsify the claim.

Watch

Extended reading notes

Core claim

On the paper's own terms, the central discovery is that the redshift trend in lopsidedness is driven by the efficiency of perturbation mechanisms, not by sample selection. In TNG50, the fraction of lopsided disk galaxies (first Fourier mode amplitude $A_1$ averaged over $R_h < r < 1.4 R_{90}$ exceeding 0.1) reaches ~60% at 1.5<z<2, matching the JWST fraction of 64% reported for 22 dusty star-forming galaxies, and falls toward z=0. The same internal-property correlation seen locally holds at every redshift: low central stellar mass density and larger disk size make a galaxy more prone to strong lopsidedness. Yet since high-redshift disks are actually denser and more compact, the observed decrease in lopsidedness toward low redshift cannot come from internal properties alone; it implies the triggering mechanisms are different or more efficient at high redshift. The paper identifies recent close tidal interactions (mass ratio >1:10 within $R_{200}$) and net gas accretion with subsequent star formation as the two mechanisms, finding both act at all redshifts but with greater effect at $z \gtrsim 1$.

Load-bearing premise

The analysis assumes the local-universe disk-selection criteria ($\lambda_R > 0.31\sqrt{\epsilon}$, $\epsilon > 0.4$, $R_{90} > 3$ kpc) and the fixed lopsided threshold $A_1=0.1$ remain valid at all redshifts up to $z=2$, so that the independently selected samples are comparable in what they represent.

Editorial extensions

If this is right

  • The ~60% lopsided fraction at 1.5<z<2 in simulations supports the interpretation that JWST's 64% lopsided galaxies are not mostly observational bias.
  • Because high-redshift disks are denser and more compact, the strong internal-property correlation would predict less lopsidedness at high z if triggers were equally efficient; the opposite trend is evidence for more efficient early-universe perturbation mechanisms.
  • Local environment (10th-nearest-neighbor density) does not set lopsidedness; at all redshifts the susceptibility is set by internal structure, so environment acts only through the frequency of encounters.
  • Gas accretion followed by star formation is a viable lopsidedness trigger at all redshifts, and at z>1 it is strong enough to also explain the elevated lopsidedness of central galaxies, not just satellites.
  • The outside-in quenching scenario, in which lopsidedness funnels gas to the center and quenches the disk, is consistent with TypeII galaxies' star-forming cores embedded in quenched lopsided disks at high redshift.

Reading between the lines

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

  • Editorial: if the redshift dependence of $A_1$ is as strong as TNG50 suggests, lopsidedness could serve as a cheap, high-redshift proxy for the merger and accretion rate, applicable to large JWST samples without spectroscopy.
  • Editorial: the claim that gas accretion with subsequent star formation triggers lopsidedness could be tested directly in the simulation by checking whether the accreted gas has an asymmetric angular momentum distribution and whether the $m=1$ mode grows right after accretion events, a step the authors leave to follow-up work.
  • Editorial: the fixed $A_1=0.1$ threshold may mix genuinely different perturbation states across redshift; re-deriving the threshold from the simulated amplitude distribution at each z would show whether part of the trend is threshold-driven.
  • Editorial: applying the same analysis to a larger-volume, lower-resolution TNG box would check whether cosmic variance in the small TNG50 volume affects the claimed ~60% high-redshift fraction.
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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. This paper uses the TNG50 cosmological simulation to study stellar lopsidedness (the m=1 Fourier amplitude A1) in disk-like galaxies at ten redshifts between z=0 and z=2. At each redshift the authors independently select rotation-dominated, flattened, extended galaxies (Secs. 2.2-2.5), measure A1 in the radial range Rh<r<1.4R90, and classify galaxies with A1>0.1 as lopsided (Secs. 3-4.1). They report a lopsided fraction of ~60% at 1.5<z<2, a decrease of fraction and amplitude toward z=0, no strong dependence on local environmental density, and a strong correlation of A1 with central stellar mass density and disk size at all redshifts (Secs. 4.2-4.3, Figs. 3-5). Using a neighbor-count interaction proxy and a 1 Gyr net accretion rate (Secs. 4.4.1-4.4.2, Figs. 6-7), they argue that tidal interactions and gas accretion with subsequent star formation are significantly more effective at high redshift. The final sections compare the simulation sample with the JWST sample of Le Bail et al. (2023) using a four-type classification based on central and disk sSFR (Sec. 5).

Significance. This is a timely and useful paper. The main quantitative results—the high lopsided fraction at 1.5<z<2 and the redshift decline—provide the first direct cosmological-simulation comparison to the JWST lopsidedness excess of Le Bail et al. (2023), and the structural correlation (low central stellar mass density, large disk size) is a robust, physically plausible finding that connects high-redshift and local studies. The paper is transparent about several limitations, including that it does not directly measure asymmetric gas accretion and that lopsidedness itself may funnel gas inward (Secs. 4.4.2 and 5.4). The strengths are the systematic Fourier analysis applied uniformly over redshift, the use of a well-established simulation with public data, and the explicit discussion of differences from observations. The main weakness is that the causal interpretation—higher efficiency of interactions and accretion at high redshift—rests on uncontrolled comparisons and a snapshot-based interaction proxy, so the abstract's strongest claim is not yet supported.

major comments (4)
  1. [Sec. 2.5 and Sec. 4.1] The sample selection and the lopsided threshold are both inherited from z=0 analyses and are not tested for redshift validity. The lambda_R>0.31*sqrt(epsilon), epsilon>0.4, and R90>3 kpc criteria are calibrated at z=0, and the A1=0.1 threshold is fixed at all redshifts; yet the manuscript itself notes that high-redshift disks are strongly perturbed (Sec. 2.2) and that the z=0 outer-radius definition is not appropriate at z>0.5 (Sec. 3). Because the headline claim is the redshift evolution of the lopsided fraction, the authors need to show the trend is not an artifact of these choices—for example by varying the lambda_R/R90 cuts and the A1 threshold, or by calibrating A1 to the noise level at each redshift.
  2. [Sec. 4.4.1 and Fig. 6] The interaction proxy counts neighbors with stellar mass ratio >1:10 within R200 at the output snapshot; this is not a measurement of recent tidal interactions. Stable neighbors can be counted while recent fly-bys are missed, as the text itself acknowledges: 'we are not considering the role of recent fly-bys.' Furthermore, Fig. 6 excludes satellite galaxies by construction, although satellites are the population whose environments differ most strongly with redshift. This proxy can support a statement about the presence of potential perturbers, but not the conclusion that 'close tidal interactions are significantly more effective at high-redshift' (Abstract). Merger-tree-based encounter histories or time-resolved orbit classification are needed.
  3. [Sec. 4.4.2, Eq. 8, Fig. 7, Sec. 5.4] The lopsided and symmetric samples are not matched in the structural properties that Sec. 4.3 (Fig. 5) shows are strongly correlated with A1. The bottom panels of Fig. 5 show that the redshift-dependent samples have different mu*, Rh, and R90 distributions, so the larger net accretion rates and neighbor fractions of lopsided galaxies could reflect these structural differences rather than a redshift-dependent efficiency of the proposed mechanisms. In addition, the net accretion rate in Eq. (8) is measured over the preceding 1 Gyr, and Sec. 5.4 explicitly entertains the reverse channel, in which lopsidedness funnels gas inward. Without matched control samples or time-resolved event ordering (accretion/interaction preceding the onset of lopsidedness), the statement that gas accretion and interactions are 'significantly more effective at high-redshift' is an overstatement; the data as presented support a correlation, not a causal mechanism.
  4. [Sec. 3 and Fig. 3] Because A1 is averaged over Rh<r<1.4R90 and R90 decreases with redshift (Fig. 5), the measurement region changes systematically with redshift. The paper states in Sec. 3 that the trends are not significantly affected by the radial range, but no supporting figure or test is shown. A robustness test fixing the radial range in physical units (or in units of Rh) should be provided, since the radial range is known to change the fraction of lopsided galaxies.
minor comments (4)
  1. [Sec. 6] In the first bullet list, 'Fig. 4.4.1' should be 'Fig. 6'.
  2. [Sec. 5.3] The phrase 'as previously discussed in Sec. 5.4' is a forward reference; the gas-accretion discussion appears in the following subsection.
  3. [Eq. 8] The abstract and Sec. 4.4.2 use 'net accretion rate' for Eq. (8), which also includes stars formed in the disk; the text should clarify that this is a net gas input plus newly formed stellar mass, not a direct inflow measurement.
  4. [Fig. 3] The right panel would benefit from error bars or confidence intervals; the TNG50 volume is small and the sample sizes at z=2 are limited, so the ~60% fraction should be accompanied by an estimate of cosmic variance.

Circularity Check

0 steps flagged · score 1.0 of 10

No significant circularity: the central claims are direct measurements from TNG50 compared with external observations, with only minor methodological self-citation that is not load-bearing.

full rationale

The paper's main results (the ~60% lopsided fraction at 1.5<z<2, the decline of lopsidedness toward z=0, and the correlations with internal structure) are computed directly from TNG50 snapshots via Fourier decomposition of the stellar mass distribution, then compared with independent JWST and local-Universe observations. No parameter is fitted to the observed lopsided fraction, and the A1=0.1 threshold is inherited from prior z=0 work by the same group (Varela-Lavin et al. 2023; Dolfi et al. 2023) as a classification convention, not derived from the target high-redshift result. The paper explicitly tests the sensitivity of its trends to the radial averaging range, so the redshift trend is not an artifact of a single definitional choice. The only self-referential elements are methodological (threshold, Fourier method, radial-range choices), and these do not by construction force the predicted fraction or amplitude evolution. The causal interpretation of interactions and gas accretion is not tightly controlled (lopsided and symmetric samples are not matched in structural properties), and the paper itself notes the possible reverse channel where lopsidedness funnels gas inward, but this is a robustness/causal-inference limitation rather than circular reasoning. The derivation chain is therefore essentially self-contained against the TNG50 data, with no load-bearing step that reduces to its own input.

Assumptions & free parameters 6 free parameters · 4 assumptions · 0 invented entities

The central results depend on several hand-chosen analysis thresholds (A1=0.1, radial range, central radius, neighbor mass and mass-ratio cuts) and on standard assumptions that the simulation's subgrid physics and z=0 selection criteria are valid at high redshift. No new physical entities are introduced.

free parameters (6)
  • A1 threshold = 0.1
    Used to classify galaxies as lopsided (A1>0.1) at all redshifts; inherited from Varela-Lavin et al. (2023) and Dolfi et al. (2023) at z=0. Changing the threshold changes the reported fractions, though the qualitative trends are stated to remain.
  • Radial range for A1 = Rh < r < 1.4 R90
    Chosen as a proxy for the disk boundary at all redshifts; the paper notes it differs from the z=0 definition (0.5-1.1 Ropt) and that fractions vary with radial range.
  • Central region radius = 2 kpc
    Defines the central stellar mass density and core mass fraction, based on the half-light radii of Gargiulo et al. (2022).
  • Neighbor mass threshold = M_tot > 1e9 M_sun
    Used to define the environmental density rho_10 and to count massive neighbors for the interaction proxy.
  • Mass-ratio cut for interactions = >1:10
    Used to identify massive neighbors capable of tidal perturbation, including major and minor mergers.
  • Net accretion time window = 1 Gyr
    Used to compute net accretion rate; the choice of time window affects the comparison between lopsided and symmetric galaxies.
assumptions (4)
  • domain assumption The lambda_R-epsilon disk selection criteria calibrated at z=0 are valid at all redshifts up to z=2.
    Invoked in Sec. 2.5 to select disk-like galaxies at each redshift.
  • domain assumption The TNG50 subgrid physics (feedback, star formation) accurately reproduces disk structure and lopsidedness across cosmic time.
    The entire analysis relies on TNG50 as a realistic model; this is standard practice in the field but not proven within the paper.
  • domain assumption The A1=0.1 threshold separates lopsided from symmetric galaxies equivalently at all redshifts.
    Applied uniformly in Sec. 4.1; no redshift-dependent calibration is provided.
  • domain assumption The number of massive neighbors within R200 with mass-ratio >1:10 is a valid proxy for recent tidal interactions that can trigger lopsidedness.
    Used in Sec. 4.4.1; fly-bys and past interactions outside R200 are not captured.

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Pith. "Pith review of Tracing the origins of galaxy lopsidedness across cosmic time." pith.science (2026). https://pith.science/paper/INQY2MZL

@misc{pith2026241119426,
  author       = {Pith},
  title        = {Pith review of: Tracing the origins of galaxy lopsidedness across cosmic time},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/INQY2MZL}},
  note         = {Machine review of arXiv:2411.19426}
}
abstract

Current studies of large-scale asymmetries (i.e. lopsidedness) in the stellar density distribution of disk galaxies have mainly focused on the local Universe. Recent observations have found a significant fraction (over 60%) of lopsided galaxies at high-redshift ($1.5 < z < 3$), which is significantly larger than the fraction (~30%) observed in the nearby Universe. We aim to understand whether the more widespread lopsidedness at high- than low-redshift can be associated to environmental mechanisms being more effective in producing lopsided perturbations at high-redshift. At each redshift between $0 < z < 2$, we independently select a sample of disk-like galaxies from the IllustrisTNG simulations. We then characterize lopsidedness in the disks of galaxies at each redshift, study the relevant mechanisms generating lopsidedness, as well as the correlation between such perturbation, the local environment and the galaxy internal properties as a function of redshift. Consistent with previous and new observational results, we find that: 1) simulations predict a significant fraction (~60%) of lopsided galaxies at high-redshift ($1.5 < z < 2$), 2) the fraction of lopsided galaxies, as well as the lopsided amplitude, decreases from high- to low-redshift, and 3) there is not a significant dependence of lopsidedness on the local environment, but there is a strong correlation between the lopsided amplitude and basic galaxies' structural properties at all redshift between $0 < z < 2$. This means that, independent of the mechanisms on-setting lopsidedness, galaxies with low central stellar mass density and more extended disks are more susceptible of developing strong lopsidedness. We find that both recent interactions with mass-ratio >1:10 and gas accretion with subsequent star formation can produce lopsided perturbations at all redshift, but they are both significantly more effective at high-redshift.

Figures

Figures reproduced from arXiv: 2411.19426 by the authors.

Figure 1
Figure 1. Top panel: Spin-ellipticity (i.e. λR-ϵ) diagram of the galaxies se￾lected from the TNG50 simulation between 0 < z < 2 (gray points). The colored points show our final sample of disk-like galaxies, using the selection criteria described in Sec. 2.5. The red solid line repre￾sents the threshold typically used in observations to separate between rotation-dominated and dispersion-supported galaxies within the inner stel… view at source ↗
Figure 2
Figure 2. Stellar mass distribution (top panel) and median value of λR as a function of stellar mass (bottom panel) for our selected sample of disk-like galaxies at each redshift between 0 < z < 2. Shaded areas are defined by the 25th-75th interquartile range of the data in each bin. to quantify the global lopsidedness of galaxies at z = 0, i.e. 0.5 Ropt < r < 1.1 Ropt with Ropt being the optical radius defined as the radius … view at source ↗
Figure 3
Figure 3. Left panel: Median lopsided amplitude as a function of redshift for our selected sample of disk-like galaxies at each analyzed redshift between 0 < z < 2, divided into centrals and satellites. Shaded areas are defined by the 25th-75th interquartile range of the data at each bin. The horizontal dotted black line indicates the threshold A1 = 0.1 used to classify galaxies into lopsided (A1 > 0.1) and symmetric (A1 < 0.… view at source ↗
Figures from the paper (8 more)
Figure 4
Figure 4. Figure 4: The median lopsided amplitude as a function of the local den￾sity of the environment between 0 < z < 2 for our selected sample of disk-like galaxies. The local density of the environment is calculated as described in Sec. 4.2, considering the ten nearest neighbors with…
Figure 5
Figure 5. Figure 5: Top: The median lopsided amplitude as a function of the central stellar mass density (µ∗), stellar half-mass radius (Rh) and disk size (R90) for our selected sample of disk-like galaxies between 0 < z < 2. Bottom: The median µ∗, Rh and R90 as a function of redshift for…
Figure 6
Figure 6. Figure 6: Left panel: Fraction of lopsided (magenta) and symmetric (orange) galaxies with one or more massive neighbors within R200, whose stellar mass-ratio is > 1:10. We normalize the number of lopsided and symmetric galaxies by the total number of lopsided and symmetric galax…
Figure 7
Figure 7. Figure 7: Left panel: Net accretion rate onto the galactic disk within the last 1 Gyr for our selected sample of disk-like galaxies at the five different specific redshift z = 2, 1.5, 1, 0.5 and 0. Middle panel: Total galaxy star formation rate. Right panel: Star formation rate …
Figure 8
Figure 8. Figure 8: Distribution of the specific star-formation rate (sSFR) of the cen￾tral regions and disks of our selected sample of disk-like galaxies at z = 0 (top panel) and z = 1.5 (bottom panel). The sSFR of the differ￾ent components of the galaxies are calculated as described in …
Figure 9
Figure 9. Figure 9: Specific star-formation rate (sSFR)-stellar mass relation of the central regions and disk components of our selected sample of disk￾like galaxies between 0 < z < 2, divided into the four galaxy types defined in [PITH_FULL_IMAGE:figures/full_fig_p011_9.png]
Figure 10
Figure 10. Figure 10: From the left to the right panel, the lopsided amplitude as a function of the disk size (R90), fraction of stellar mass within the central regions (M∗(≤ 2 kpc)/M∗) and central stellar mass density (µ∗), respectively, for our selected sample of disk-like galaxies betwe…
Figure 11
Figure 11. Figure 11: Left panel: Fraction of galaxies with one or more massive neighbors with stellar mass-ratio > 1:10 within R200 as a function of redshift between 0 < z < 2. Here, we show only the sub-sample of the central galaxies with at least one nearest neighbor. Right panel: Mean …

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