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arxiv: 2605.11658 · v1 · submitted 2026-05-12 · 🌌 astro-ph.CO

Recognition: 2 theorem links

· Lean Theorem

GI BAO as a cosmological consistency check

Kwan Chuen Chan , Yin Li , Jamie McCullough
Authors on Pith no claims yet

Pith reviewed 2026-05-13 01:06 UTC · model grok-4.3

classification 🌌 astro-ph.CO
keywords GI BAOBaryon Acoustic Oscillationsconsistency checkDES Y3linear alignment modelshear fieldcosmologyphotometric data
0
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The pith

GI BAO measurement on DES Y3 data matches the density BAO constraint on the scale dilation parameter, validating both and the linear alignment model.

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

The paper introduces GI BAO as a consistency check for standard density BAO measurements in cosmology. It extracts the BAO imprint from the galaxy shear field induced by large-scale tidal alignments using photometric data from DES Y3. The resulting constraint on the BAO scale dilation parameter α agrees closely with the density-based value. This match supports the reliability of the density BAO signal, the shear data, and the linear alignment model that connects galaxy shapes to the tidal field. The authors note that combining the two BAO probes increases resistance to certain systematics and will become more useful with the larger datasets from stage IV surveys.

Core claim

The first GI BAO measurement on DES Y3 photometric data gives α = 0.966 ± 0.252 (1σ), in good agreement with the density BAO result α = 0.966 ± 0.037. This agreement validates the density BAO, the shear measurement, and the linear alignment model. Combining density BAO with GI BAO produces results that are more resilient to systematic effects.

What carries the argument

GI BAO, the imprint of the Baryon Acoustic Oscillations feature on the galaxy shear field induced by the large-scale tidal field through the linear alignment model, serving as an independent consistency test for density BAO.

If this is right

  • Agreement between GI BAO and density BAO confirms the absence of major independent systematics in either probe.
  • The linear alignment model receives empirical support from the data.
  • Combining density BAO with GI BAO increases resilience to systematic effects.
  • Stage IV surveys will allow GI BAO to function as a more prominent and powerful consistency check due to larger data volumes.

Where Pith is reading between the lines

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

  • A significant future disagreement could isolate problems in the alignment model rather than in the underlying cosmology.
  • The same GI BAO extraction could be applied to other photometric surveys to cross-check BAO scales without relying solely on density fields.
  • This consistency approach might be extended to test additional cosmological parameters beyond the BAO scale.

Load-bearing premise

The linear alignment model accurately describes galaxy shape alignment with the tidal field, and systematics in density and shear measurements are sufficiently independent that agreement indicates validity rather than shared bias.

What would settle it

A future high-significance mismatch between the GI BAO and density BAO constraints on α in a larger survey dataset would indicate that one or more of the validated components contains unaccounted systematics.

Figures

Figures reproduced from arXiv: 2605.11658 by Jamie McCullough, Kwan Chuen Chan, Yin Li.

Figure 1
Figure 1. Figure 1: FIG. 1. True redshift distributions of the BAO sample. All [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2. Shown are the GI correlation function measurements (data points, black) and its best fit model (solid, green) for [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3 [PITH_FULL_IMAGE:figures/full_fig_p004_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. The red fraction, [PITH_FULL_IMAGE:figures/full_fig_p005_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5. The density (upper panels) and GI (lower panels) correlation functions for the first three tomographic bins (left to [PITH_FULL_IMAGE:figures/full_fig_p007_5.png] view at source ↗
read the original abstract

Tensions often arise between different datasets in cosmology, and consistency tests can serve as a powerful tool for diagnosing potential issues. The density-shear Baryon Acoustic Oscillations (GI BAO) are the imprint of the BAO feature on the shear field induced by the large-scale tidal field. We highlight that GI BAO can provide a robust consistency check for the density BAO, shear measurement, and alignment model. Failure of this check hints at systematics in any of these parts. As an illustration, we present the first GI BAO measurement on photometric data, using the DES Y3 dataset. We find the GI BAO constraint on the BAO scale dilation parameter $\alpha $ to be $ 0.966 \pm 0.252 $ (1$\sigma$), in good agreement with the density BAO constraint, $ 0.966 \pm 0.037 $, thereby validating the density BAO, shear measurement, and the linear alignment model. Furthermore, we argue that combining the density BAO with the GI BAO yields results that are more resilient to systematic effects. Thanks to the massive data volumes of stage IV surveys, the GI BAO will play an even more prominent role as a consistency check.

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

2 major / 2 minor

Summary. The paper proposes GI BAO (the BAO feature in the density-shear cross-correlation) as a consistency check for density BAO measurements, shear catalogs, and the linear alignment model. Using DES Y3 photometric data as an illustration, the authors measure the BAO dilation parameter α from GI BAO as 0.966 ± 0.252 (1σ) and note its agreement with the density BAO value 0.966 ± 0.037. They conclude that this agreement validates the three components and that combining the two probes increases resilience to systematics, with greater utility expected from stage-IV surveys.

Significance. If the central claim holds, the work introduces a useful cross-check that exploits the independence of density and shear systematics. The first GI BAO measurement on photometric data is a concrete demonstration of the method. However, the current statistical power is limited, so the immediate impact on validating existing BAO or shear results is modest; the primary value lies in the conceptual framework and its potential for future data sets where the GI error bar shrinks.

major comments (2)
  1. [Abstract] Abstract: the reported GI BAO uncertainty (0.252) is approximately seven times larger than the density BAO uncertainty (0.037). Consequently the GI constraint is consistent (within 1σ) with any α in roughly [0.46, 1.47], so the numerical agreement does not rule out moderate biases in the density BAO, the shear measurement, or the linear alignment model. A quantitative power analysis (e.g., the probability of detecting an injected systematic at the level of the density-BAO error) or the covariance between the two α measurements is required to support the validation statement.
  2. [Results / Discussion (section containing the combination argument)] The claim that combining density BAO with GI BAO produces results “more resilient to systematic effects” is load-bearing for the paper’s broader argument. Without an explicit joint covariance matrix, a demonstration of how the combination suppresses shared or independent biases, or a test under simulated systematics, the resilience statement remains qualitative.
minor comments (2)
  1. [Abstract] The abstract and main text repeatedly describe the agreement as “good” or “validating” without qualifying the limited statistical power; a brief parenthetical on the relative precisions would improve clarity.
  2. [Measurement section] Notation for the dilation parameter α and its error bars is clear, but the manuscript should explicitly state whether the quoted uncertainties are statistical only or include systematic contributions from the alignment model.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their insightful comments on our manuscript. We address the major comments point by point below, proposing revisions to strengthen the presentation of our results.

read point-by-point responses

  1. Referee: Abstract: the reported GI BAO uncertainty (0.252) is approximately seven times larger than the density BAO uncertainty (0.037). Consequently the GI constraint is consistent (within 1σ) with any α in roughly [0.46, 1.47], so the numerical agreement does not rule out moderate biases in the density BAO, the shear measurement, or the linear alignment model. A quantitative power analysis (e.g., the probability of detecting an injected systematic at the level of the density-BAO error) or the covariance between the two α measurements is required to support the validation statement.

    Authors: We agree that the large uncertainty on the GI BAO α measurement means that the current agreement provides only a modest consistency check and does not exclude moderate biases at the level of the density BAO precision. Our intent was to present this as an initial demonstration of the method using existing data, with the understanding that the statistical power will increase substantially with future surveys. To better support the validation statement, we will revise the abstract to clarify the limited precision of the current measurement and add a brief discussion on the expected sensitivity. We can also include a simple estimate of the covariance between the two measurements based on the shared large-scale structure, noting that they are partially correlated but the dominant systematics differ. A full power analysis with injected systematics would require dedicated simulations, which we plan to pursue in follow-up work. revision: partial

  2. Referee: The claim that combining density BAO with GI BAO produces results “more resilient to systematic effects” is load-bearing for the paper’s broader argument. Without an explicit joint covariance matrix, a demonstration of how the combination suppresses shared or independent biases, or a test under simulated systematics, the resilience statement remains qualitative.

    Authors: We concur that the resilience to systematics would be more convincingly demonstrated with quantitative support. The GI BAO and density BAO measurements have largely independent systematics because one involves the shear field and the other the density field, with the linear alignment model linking them. We will expand the discussion section to explicitly state this and provide a qualitative argument for how biases in one probe are mitigated in the combination. Additionally, we will note that the joint covariance can be approximated as diagonal for the purpose of this consistency check, as the cross-covariance is expected to be small compared to the individual variances. A full simulation test is beyond the current scope but represents a valuable direction for future studies. revision: partial

Circularity Check

0 steps flagged

No circularity: direct empirical measurement of GI BAO from DES Y3 data

full rationale

The paper reports a new measurement of the GI BAO signal extracted from photometric galaxy shapes and positions in the DES Y3 dataset, constraining the dilation parameter α directly from the data. This is not obtained by fitting a model to a subset of the same data and then re-predicting a related quantity, nor does it rely on self-citations or imported uniqueness theorems for its central result. The agreement with the separate density BAO measurement is presented as an external consistency test rather than an algebraic identity or forced equivalence. The linear alignment model is an input assumption whose validity is being checked, not a derived output that reduces to the measurement by construction. The analysis chain is therefore self-contained as an observational result.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

The central claim relies on standard cosmological assumptions and the linear alignment model, with the measurement introducing the fitted α but validating against independent data.

free parameters (1)
  • BAO scale dilation parameter α
    Fitted from the GI BAO signal in the data to quantify the scale shift.
axioms (1)
  • domain assumption Linear alignment model for galaxy intrinsic alignments
    Assumed to relate the large-scale tidal field to the observed galaxy shear signal.

pith-pipeline@v0.9.0 · 5515 in / 1416 out tokens · 45625 ms · 2026-05-13T01:06:03.827131+00:00 · methodology

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Reference graph

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