REVIEW
Intrinsic alignment-lensing interference as a contaminant of cosmic shear
Astrophysics · Submitted 10 Jun 2004 · 62 references
Pith's verdict: The paper that put the GI term on the map: the structural argument is right and has held up for twenty years, and the authors are more candid about the normalization than the abstract lets on.
T0 · AI review
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Referee report
The paper
The paper claims
Cosmic shear surveys may be contaminated by a correlation between the intrinsic shapes of nearby galaxies and the lensing of distant ones, an effect that survives the usual redshift cuts.
The reading
What carries the argument
The load-bearing object is the GI cross-spectrum $C_ell^{EE,GI}(alpha,beta)$, built from the three-dimensional density-intrinsic-shear cross-spectrum $P_{delta,tilde{gamma}_I}(k)$ and projected along the line of sight with the lensing window of one redshift slice and the galaxy distribution of the other. The sign and amplitude come from the linear alignment model, in which intrinsic shear is proportional to the second derivatives of the smoothed primordial potential, $gamma_I = -frac{C_1}{4pi G}(nabla_x^2-nabla_y^2,, 2nabla_xnabla_y)S[Psi_P]$, which yields $P_{delta,tilde{gamma}_I}(k) = -C_1 bar{rho}bar{D}a^2 P_delta^{lin}(k)$ and a correlation coefficient between density and intrinsic shear of order unity. The quadratic model, $gamma_I = C_2(T_{xmu}^2 - T_{ymu}^2,, 2T_{xmu}T_{ymu})$, gives zero cross-spectrum at leading order because the relevant third moments of a Gaussian density field vanish. The amplitude $C_1$ is fixed by matching the SuperCOSMOS ellipticity variance measured by Brown et al.
Extended reading notes
Core claim
The paper's claim is that gravitational lensing shear and intrinsic galaxy shear need not be statistically independent. A foreground galaxy's ellipticity is set by the tidal field around it; that same tidal field contributes to the lensing of a background galaxy further along the line of sight. The cross term this produces, $C_ell^{EE,GI}$, is computed here by Limber projection of the density-intrinsic-shear cross-spectrum $P_{delta,tilde{gamma}_I}(k)$, and it has three properties that make it awkward. First, it is linear in the intrinsic alignment amplitude rather than quadratic, so it can exceed the usual $II$ contamination by more than an order of magnitude for broad redshift distributions. Second, it requires radial separation between the two galaxies, so it is not removed by rejecting close pairs in photometric redshift. Third, it contributes only to E-modes, so the B-mode power spectrum, widely used as the null test for intrinsic alignments, is blind to it: the authors quote a case where the E-mode change from intrinsic alignments exceeds the B-mode by two orders of magnitude. For a simple quadratic alignment model of the kind motivated by tidal torque theory, the GI term vanishes identically under Gaussian density fields, so the size of the effect is strongly model-dependent.
Load-bearing premise
The size of the effect rests on normalizing the linear alignment amplitude to the SuperCOSMOS ellipticity variance, a signal the authors themselves say is an order of magnitude above the lensing prediction and may be dominated by observational systematics, and whose sign cannot be determined from a variance at all.
Editorial extensions
If this is right
- Cross-correlating shear in widely separated photometric redshift bins does not remove intrinsic alignment contamination, because the GI term grows precisely with radial separation.
- A clean B-mode spectrum is not evidence that intrinsic alignments are absent: the GI term is pure E-mode, so the standard null test can pass while the E-mode lensing amplitude is suppressed.
- For a single broad redshift bin the lensing power can be suppressed by roughly 10% at $z_s=1$ and 30% at $z_s=0.5$, which propagates into inferred values of $sigma_8$ and the dark energy equation of state.
- Two routes to constrain the effect are proposed: measuring the density-shear correlation $Delta gamma(r)$ on large transverse separations in a wide shallow survey, and projecting out the known redshift scaling of the GI signal in narrow-bin tomography.
Reading between the lines
- The manuscript carries a correction notice dated July 2010 thanking several named colleagues for pointing out an error in the original version, so the numbers quoted here should be read as the corrected ones rather than the 2004 values.
- If the linear model describes early-type galaxies while spirals follow the quadratic model, splitting the source sample by morphology or colour could reduce the GI term without discarding data, which is a cheap test the paper does not develop.
- The same interference should appear wherever galaxy shear is cross-correlated with a lensing field sourced by the same foreground matter, including cosmic microwave background lensing crossed with low-redshift galaxy shapes.
- The sign of $C_1$ is undetermined by an ellipticity variance and is chosen positive on physical grounds; a measurement of the sign of $Delta gamma(r)$ at tens of comoving megaparsecs would decide whether the effect suppresses or enhances the lensing power.
Original abstract
Cosmic shear surveys have great promise as tools for precision cosmology, but can be subject to systematic errors including intrinsic ellipticity correlations of the source galaxies. The intrinsic alignments are believed to be small for deep surveys, but this is based on intrinsic and lensing distortions being uncorrelated. Here we show that the gravitational lensing shear and intrinsic shear need not be independent: correlations between the tidal field and the intrinsic shear cause the intrinsic shear of nearby galaxies to be correlated with the gravitational shear acting on more distant galaxies. We estimate the magnitude of this effect for two simple intrinsic alignment models: one in which the galaxy ellipticity is linearly related to the tidal field, and one in which it is quadratic in the tidal field as suggested by tidal torque theory. The first model predicts a gravitational-intrinsic (GI) correlation that can be much greater than the intrinsic-intrinsic (II) correlation for broad redshift distributions, and that remains when galaxies pairs at similar redshifts are rejected. The second model, in its simplest form, predicts no gravitational-intrinsic correlation. In the first model and assuming a normalization consistent with recently claimed detections of intrinsic correlations we find that the GI correlation term can exceed the usual II term by >1 order of magnitude and the intrinsic correlation induced B-mode by 2 orders of magnitude. These interference effects can suppress the lensing power spectrum for a single broad redshift bin by of order ~10% at z_s=1 and ~30% at z_s=0.5.
The compiled record
The paper's own sentences, arranged, kept beside the review and separate from it. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.
The abstract, sentence by sentence
Cosmic shear surveys have great promise as tools for precision cosmology, but can be subject to systematic errors including intrinsic ellipticity correlations of the source galaxies. The intrinsic alignments are believed to be small for deep surveys, but this is based on intrinsic and lensing distortions being uncorrelated. Here we show that the gravitational lensing shear and intrinsic shear need not be independent: correlations between the tidal field and the intrinsic shear cause the intrinsic shear of nearby galaxies to be correlated with the gravitational shear acting on more distant galaxies. We estimate the magnitude of this effect for two simple intrinsic alignment models: one in which the galaxy ellipticity is linearly related to the tidal field, and one in which it is quadratic in the tidal field as suggested by tidal torque theory. The first model predicts a gravitational-intrinsic (GI) correlation that can be much greater than the intrinsic-intrinsic (II) correlation for broad redshift distributions, and that remains when galaxies pairs at similar redshifts are rejected. The second model, in its simplest form, predicts no gravitational-intrinsic correlation. In the first model and assuming a normalization consistent with recently claimed detections of intrinsic correlations we find that the GI correlation term can exceed the usual II term by >1 order of magnitude and the intrinsic correlation induced B-mode by 2 orders of magnitude. These interference effects can suppress the lensing power spectrum for a single broad redshift bin by of order ~10% at z_s=1 and ~30% at z_s=0.5.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | Cosmic shear surveys have great promise as tools for precision cosmology, but can be subject to systematic errors including intrinsic ellipticity correlations of the source galaxies. | background 1.00 | 0.04 | 0.03 | hedged possibility 0.60 |
| s1 | The intrinsic alignments are believed to be small for deep surveys, but this is based on intrinsic and lensing distortions being uncorrelated. | gap 0.53 | 0.04 | 0.04 | hedged possibility 0.73 |
| s2 | Here we show that the gravitational lensing shear and intrinsic shear need not be independent: correlations between the tidal field and the intrinsic shear cause the intrinsic shear of nearby galaxies to be correlated with the gravitational shear acting on more distant galaxies. | contribution 0.75 | 0.77 | 0.82 | asserted 0.94 |
| s3 | We estimate the magnitude of this effect for two simple intrinsic alignment models: one in which the galaxy ellipticity is linearly related to the tidal field, and one in which it is quadratic in the tidal field as suggested by tidal torque theory. | method 0.90 | 0.90 | 0.05 | asserted 0.91 |
| s4 | The first model predicts a gravitational-intrinsic (GI) correlation that can be much greater than the intrinsic-intrinsic (II) correlation for broad redshift distributions, and that remains when galaxies pairs at similar redshifts are rejected. | result 1.00 | 0.88 | 0.33 | asserted 0.85 |
| s5 | The second model, in its simplest form, predicts no gravitational-intrinsic correlation. | result 1.00 | 0.82 | 0.06 | asserted 0.78 |
| s6 | In the first model and assuming a normalization consistent with recently claimed detections of intrinsic correlations we find that the GI correlation term can exceed the usual II term by >1 order of magnitude and the intrinsic correlation induced B-mode by 2 orders of magnitude. | result 1.00 | 0.85 | 0.22 | asserted 0.92 |
| s7 | These interference effects can suppress the lensing power spectrum for a single broad redshift bin by of order ~10% at z_s=1 and ~30% at z_s=0.5. | result 0.98 | 0.88 | 0.24 | hedged possibility 0.56 |
What was examined, and what was not
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- relations to other papers
- P abstract
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Figures
Figures reproduced from arXiv:astro-ph/0406275 by the authors.
References
How later papers used it
270 later papers cite it
15 later papers by other authors are listed below: 14 used its method or tool and 1 cited it as support. 1 more paper by the same authors is listed: 1 used its method or tool.
Uses its method or tool 15 of 82 papers with this label · 1 by the same authors
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We chose to do this using the non-linear linear-alignment model (NLA), which describes the linear tidal alignment of galaxies with the density field [ref] , with a non-linear correction to the linear matter power spectrum [ref] .
Weak lensing combined with the kinetic Sunyaev Zel'dovich effect: A study of baryonic feedback (2024) · Cosmic shear signal · 1.00
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Modeled intrinsic alignments using the NLA model of this paper.
Dark Energy Survey Year 3 results: optimized $w$CDM simulation-based inference with weak lensing map-level hybrid statistics (2026) · 1.00 · paraphrased: the licence does not allow quoting
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Included the effect of intrinsic alignments following the non-linear alignment model of this paper, marginalising over the alignment amplitude.
The Observational Future of Cosmological Scalar-Tensor Theories (2016) · 1.00 · paraphrased: the licence does not allow quoting
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Followed the model of this paper and also included a correction for the intrinsic alignment of galaxy shapes.
Baryonic effects for weak lensing. Part II. Combination with X-ray data and extended cosmologies (2019) · 0.99 · paraphrased: the licence does not allow quoting
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Employed the linear alignment model of this paper as the model template for parameter inference, including survey window convolution, integral constraint, and weak lensing contamination.
Constraints on anisotropic primordial non-Gaussianity from intrinsic alignments of SDSS-III BOSS galaxies (2023) · 0.98 · paraphrased: the licence does not allow quoting
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To model the window function for the intrinsic alignment field $I$, we start from the commonly-used non-linear alignment model [ref] : [equation] with two free parameters $A_IA$ and $η_IA$; the linear growth factor $D(χ)$, the critical matter density $ρ_cr$, a constant $C_1$ and a pivot redshift $z_p$ also enter Eq. ([ref]).
CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulators (2023) · Likelihoods · 0.97
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Adopted the commonly used nonlinear alignment model of this paper to mitigate IA uncertainties.
Dark Energy Survey Year 1 Results: Constraining Baryonic Physics in the Universe (2020) · 0.96 · paraphrased: the licence does not allow quoting
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Employed the TATT model, an extension of the NLA model of this paper, to account for the effect.
Dark Energy Survey Year 3 Results: Exploiting small-scale information with lensing shear ratios (2021) · 0.95 · paraphrased: the licence does not allow quoting
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Used the redshift evolution of the linear alignment model of this paper to decrease the estimate by a factor of 0.85.
Testing gravity on large scales by combining weak lensing with galaxy clustering using CFHTLenS and BOSS CMASS (2016) · 0.91 · paraphrased: the licence does not allow quoting
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Included intrinsic alignments using the nonlinear linear alignment model of this paper among its model ingredients.
Cosmology from weak lensing, galaxy clustering, CMB lensing and tSZ: I. 10x2pt Modelling Methodology (2023) · 0.91 · paraphrased: the licence does not allow quoting
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Here we use the non-linear linear alignment model [ref] , resulting in [equation] Here, $C_1$ is a constant that we fix to $5×10^-14(h^2M_⊙/Mpc^-3)^-2$ [ref] , $ρ_crit$ the critical matter density, $D(z)$ the growth factor normalised to 1 at $z=0$, and $P_m$ is the non-linear matter power spectrum.
Inverting Fisher biases for fast systematics exploration (2026) · Intrinsic alignments · 0.90
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Adopted this formalism to convert the power spectrum of this paper into the cross correlation of shape and density in three dimensions.
Redshift Evolution of the Intrinsic Alignments of Early-Type Galaxies and Subhalos in the Horizon Run 5 Simulation (2025) · 0.90 · paraphrased: the licence does not allow quoting
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Theoretically calculated the CIB polarization signal with the linear alignment model proposed in this paper.
Polarization of the Cosmic Infrared Background Fluctuations (2019) · 0.87 · paraphrased: the licence does not allow quoting
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Identified the density-weighted shear with a tilde following this paper.
The halo model as a versatile tool to predict intrinsic alignments (2020) · 0.83 · paraphrased: the licence does not allow quoting
By the same authors
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Followed this paper and defined the E-mode and B-mode kernels.
Time evolution of intrinsic alignments of galaxies (2018) (same authors) · 0.90 · paraphrased: the licence does not allow quoting
Cites it as support 1 of 5 papers with this label
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Said that the weak redshift dependence of its IA factor indicates that the shapes of massive galaxies are determined by the primordial tidal field, as suggested by this paper.
Power Spectrum of Intrinsic Alignments of Galaxies in IllustrisTNG (2020) · 0.97 · paraphrased: the licence does not allow quoting
How the literature uses it
103 arXiv papers cite this in 184 sentences
Papers citing it · 93 sentences without a confident label
Contests it 1 paper
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This original implementation was subsequently corrected in [ref] and detailed attention paid to the treatment of non-linear clustering in [ref] .
The Cosmological Impact of Intrinsic Alignment Model Choice for Cosmic Shear · Conclusions · contest 0.76
Builds on it 2 papers
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This model is a natural extension to the nonlinear tidal alignment model described in [ref] and incorporates second-order contributions from the tidal torquing model [ref] , including mixed terms between galaxies with alignments sourced by different mechanisms.
Beyond linear galaxy alignments · Introduction · 1.00
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In [ref] , we generalize FAST-PT to “tensor” quantities (broadly defined as those that with explicit dependence on the line-of-sight), including those relevant to the intrinsic alignments of galaxies (e.g. [ref] ), redshift space distortions, and CMB anisotropies.
FAST-PT: a novel algorithm to calculate convolution integrals in cosmological perturbation theory · Summary · 0.80
Uses its method or tool 26 papers
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To model the intrinsic alignments, we implement the `non-linear linear alignment model' [ref] , which was used in [ref] .
Monte Carlo Control Loops for cosmic shear cosmology with DES Year 1 · Intrinsic Alignments · 1.00
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In this work, we will theoretically calculate the CIB polarization signal with the linear alignment model proposed in [ref] .
Polarization of the Cosmic Infrared Background Fluctuations · Introduction · 0.87
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In order to mediate the effects of possible intrinsic alignment contamination to the weak lensing signal, we follow the technique used in [ref] which parameterizes the contribution of the intrinsic alignments to the shear correlation measurements using a nonlinear intrinsic alignment model introduced by [ref] , which is based on the linear tidal field alignment model of [ref] , which in turn is based on earlier work of [ref] .
Constraints and tensions in testing general relativity from Planck and CFHTLenS including intrinsic alignment systematics · Data sets · 1.00
Compares with it 2 papers
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However, as [ref] use the original HS04 implementation, from before the publication of the erratum incorporated into [ref] , and present lines for the NLA ansatz, there are differences in any lines containing an I contribution.
The Cosmological Impact of Intrinsic Alignment Model Choice for Cosmic Shear · Summary of Observables and Fields · 0.85
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We find that our results are generally consistent with prior studies of estimates of pixel-noise bias for isolated galaxies [ref] .
Effects of overlapping sources on cosmic shear estimation: Statistical sensitivity and pixel-noise bias · Validation tests for isolated galaxies · 0.99
Cites it as support 2 papers
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The weak redshift dependence of $A_IA (k)$ indicates that the shapes of massive galaxies are imprinted in the matter dominated era or equivalently are determined by the primordial tidal field, as suggested by Ref. [ref] [ref] .
Power Spectrum of Intrinsic Alignments of Galaxies in IllustrisTNG · IA power spectrum of galaxies in TNG300: stellar mass dependence and redshift evolution · 0.97
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However, previous studies (e.g., [ref] ) have found that IA contamination is subdominant for galaxy-galaxy lensing at the redshifts and scales considered here.
Modelling Galaxy Clustering and Tomographic Galaxy-Galaxy Lensing with HSC Y3 and SDSS using the Point-Mass Correction Model and Redshift Self-Calibration · Source Systematics Error · 0.99
Cites it as background 41 papers
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The observed galaxy shapes are determined by both the gravitational lensing effect and the intrinsic alignments (IA, [ref] ) of galaxies.
Onsite Calibration of the Shear-Shear Correlation · cosmological constraints · 0.89
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According to the linear alignment model [ref] , intrinsic alignments are imprinted at the time of halo (or galaxy) formation.
Assembly bias and the redshift evolution of intrinsic alignments for LRGs · Introduction · 0.92
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The linear alignment (hereafter LA) model [ref] predicts that shapes of galaxies originate from the tidal field of gravitational potential.
Power Spectrum of Intrinsic Alignments of Galaxies in IllustrisTNG · Linear/Nonlinear alignment model · 0.91
Discussion
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