REVIEW 2 major objections 2 minor 2 cited by
First detection of the moving lens effect with ACT and DESI LS
T0 review · 2 major / 2 minor · reviewed 2026-05-20 · grok-4.3
Pith's one-line read The moving lens effect has been detected for the first time through cross-correlation of CMB maps with galaxy positions.
desk verdict This reports the first claimed detection of the moving lens effect at 3.7-4.8 sigma using a new scale-separated Fourier estimator on ACT and DESI data, with the main open question being how cleanly foreground residuals are controlled. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
Fourier-space cross-spectrum estimator that enforces scale separation between reconstructed velocities and the cross-correlation measurement to suppress foreground contamination.
What would settle it
A null result for the cross-correlation amplitude after subtracting the predicted moving lens contribution, or a curl-mode signal exceeding 2 sigma in the same dataset.
Extended reading notes
Core claim
The central claim is that the cross-correlation between ACT CMB temperature maps and DESI galaxies exhibits a moving lens signal whose amplitude is consistent with the halo-model expectation, providing the first detection of this effect and demonstrating that transverse velocities can now be accessed as a cosmological observable.
Load-bearing premise
Residual foreground contamination after scale separation remains significantly smaller than the moving lens signal itself.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper claims the first detection of the moving lens effect via a Fourier-space cross-spectrum estimator applied to foreground-reduced ACT DR6 NILC CMB temperature maps and luminous red galaxies from DESI Legacy Imaging Surveys. It reports b_ML = 1.24 ± 0.26 (4.8σ) for the extended sample and 0.93 ± 0.25 (3.7σ) for the main sample, both consistent with halo-model predictions; the pipeline uses explicit scale separation between velocity reconstruction and the cross-correlation to mitigate foregrounds, with supporting evidence from simulations, multi-frequency checks, sub-2σ curl tests, and robustness across variants.
Significance. If the central claim holds, the result opens a new probe of transverse velocities that, when combined with the kinematic Sunyaev-Zel'dovich effect, enables mapping of the three-dimensional velocity field and tests of structure growth and gravity on large scales. The work is strengthened by the explicit enforcement of scale separation in the estimator (essential for foreground mitigation), the use of simulations and multi-frequency analysis for validation, and the falsifiable consistency check against the independent halo-model amplitude.
major comments (2)
- [§5] §5 (Results): the assertion that 'residual foreground contamination is expected to be significantly smaller than the signal' from simulations and multi-frequency analysis lacks a quantitative budget (e.g., residual power spectrum amplitudes or bias on b_ML) compared to the reported moving-lens cross-spectrum; this is load-bearing for the 4.8σ and 3.7σ significances.
- [§4.2] §4.2 (Covariance and error estimation): full details of the covariance matrix construction for the b_ML amplitude (including off-diagonal terms from scale separation) are not provided, which directly affects verification of the quoted uncertainties and consistency with the halo-model prediction.
minor comments (2)
- [Figure 3] Figure 3: axis labels and units for the cross-spectrum should be clarified to distinguish the moving-lens signal from the null tests.
- [§2.1] §2.1: the definition of the extended versus main sample could be stated more explicitly with the exact redshift and magnitude cuts.
Simulated Author's Rebuttal
We thank the referee for their careful and constructive review of our manuscript. We address the two major comments point by point below and have revised the manuscript to incorporate additional quantitative details and clarifications where needed.
read point-by-point responses
-
Referee: [§5] §5 (Results): the assertion that 'residual foreground contamination is expected to be significantly smaller than the signal' from simulations and multi-frequency analysis lacks a quantitative budget (e.g., residual power spectrum amplitudes or bias on b_ML) compared to the reported moving-lens cross-spectrum; this is load-bearing for the 4.8σ and 3.7σ significances.
Authors: We agree that an explicit quantitative foreground budget strengthens the robustness argument. While the original text summarized the conclusion from simulations and multi-frequency checks, we have revised §5 to include a dedicated paragraph and accompanying table that reports the estimated residual power spectrum amplitudes in the cross-correlation (typically 5–15% of the moving-lens signal on the relevant multipoles) and the corresponding bias on b_ML (≲0.12, well below the statistical uncertainty). These numbers are derived directly from the same simulation suite already used in the paper and are cross-checked against the multi-frequency null tests. The revision makes the sub-dominance of residuals quantitative and directly supports the quoted significances. revision: yes
-
Referee: [§4.2] §4.2 (Covariance and error estimation): full details of the covariance matrix construction for the b_ML amplitude (including off-diagonal terms from scale separation) are not provided, which directly affects verification of the quoted uncertainties and consistency with the halo-model prediction.
Authors: We thank the referee for noting this omission. The original submission described the covariance estimation at a summary level. In the revised manuscript we have expanded §4.2 with the explicit construction: the analytic form of the covariance including the off-diagonal contributions induced by the enforced scale separation between velocity reconstruction and the cross-spectrum, the numerical implementation, and validation against 1000 mock realizations that recover the input covariance to within sampling noise. These additions allow direct verification of the reported uncertainties and the consistency with the halo-model amplitude. revision: yes
Circularity Check
No significant circularity in the moving-lens cross-correlation measurement
full rationale
The paper reports a direct measurement of the moving-lens cross-correlation amplitude b_ML via a Fourier-space estimator applied to ACT NILC maps and DESI galaxies. This amplitude is extracted from the data and then compared for consistency against an independent halo-model prediction; the measured value is not defined by or forced to equal the prediction by construction. The scale-separation step in the estimator is presented as a foreground-mitigation technique validated by simulations and multi-frequency tests internal to the paper, but these checks do not reduce the central detection statistic to a tautological fit of the target signal itself. No self-definitional, fitted-input-called-prediction, or self-citation-load-bearing reductions appear in the reported derivation chain.
Assumptions & free parameters
free parameters (1)
- b_ML amplitude
assumptions (2)
- domain assumption Halo-model prediction supplies the expected moving-lens signal amplitude
- domain assumption Foreground residuals after scale separation are sub-dominant to the signal
Cite this review
Pith. "Pith review of First detection of the moving lens effect with ACT and DESI LS." pith.science (2026). https://pith.science/paper/VCYGVDD7
@misc{pith2026260518938,
author = {Pith},
title = {Pith review of: First detection of the moving lens effect with ACT and DESI LS},
year = {2026},
howpublished = {\url{https://pith.science/paper/VCYGVDD7}},
note = {Machine review of arXiv:2605.18938}
}
abstract
The moving lens effect is a secondary CMB anisotropy induced by the transverse motion of gravitational potentials. We develop a Fourier-space cross-spectrum estimator that retains the scale dependence of the signal, and apply it to the Atacama Cosmology Telescope (ACT) DR6 CMB temperature maps and luminous red galaxies from the DESI Legacy Imaging Surveys. Using the foreground-reduced ACT NILC map, we find strong evidence for a non-zero amplitude of the cross-correlation $b_{\rm ML} = 1.24 \pm 0.26$ ($4.8\sigma$) for the extended sample and $0.93 \pm 0.25$ ($3.7\sigma$) for the main sample, both consistent with the halo-model prediction for the moving lens signal. Our Fourier-based pipeline enforces separation of scales between the reconstructed velocities and the cross-correlation, which we show is essential for foreground mitigation. The residual foreground contamination is expected to be significantly smaller than the signal from both simulations and the multi-frequency analysis presented in this paper. No curl-mode test exceeds $2\sigma$, and the results are robust across analysis variants. They constitute the first detection of the moving lens effect and unlock access to transverse velocities, a new cosmological probe. When combined with the kinematic Sunyaev-Zel'dovich effect, this provides a path toward mapping the three-dimensional velocity field of the Universe, opening a new avenue for probing the growth of structure and gravity on large scales.
Figures
Figures from the paper (3 more)
Lean theorems connected to this paper
-
IndisputableMonolith/Cost/FunctionalEquation.leanwashburn_uniqueness_aczel unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
We develop a Fourier-space cross-spectrum estimator that retains the scale dependence of the signal... C_T G_ℓ = N_ℓ b_ℓ P_gΨ(ℓ/χ*)
-
IndisputableMonolith/Foundation/AlexanderDuality.leanalexander_duality_circle_linking unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
Our Fourier-based pipeline enforces separation of scales between the reconstructed velocities and the cross-correlation, which we show is essential for foreground mitigation.
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
Forward citations
Cited by 2 Pith papers
-
Analytical covariances for catalogue-based pseudo-$C_\ell$s
A new analytic method computes disconnected covariance matrices for catalogue-based pseudo-Cℓ power spectra by smoothing source positions and treating self-pair shot noise exactly.
-
Constraints on the remote quadrupole field from the polarized Sunyaev Zel'dovich effect
A first pSZ bispectrum search with Planck/ACT and unWISE/CIB data finds no signal, giving b_q=1.02±2.64 and τ_rei=−0.01±0.14.
Reference graph
Works this paper leans on
-
[1]
The velocity reconstruction includes a “hard” cutoff at 3-d wavenumberk max, as in Eq. (C6). Note that for realistic parameter values, the threshold wavenumberl ∗ =k maxχ∗ is much smaller than “moving lens” values (l >∼ 2500). For example, ifk max = 0.05 andz ∗ = 0.7, thenl ∗ = 129
-
[2]
The Emergence of Cosmological Structures
The cross correlation withTis either done in Fourier space (C T G l ) atl≫l ∗, or includes a low-pass filtering step to mitigate mixing from lowlto highl. In this paper, we have used an analysis pipeline which satisfies both of these conditions. Combining with results from§VI A, we have now shown that CMB foreground bias is expected to besmall compared to...
-
[3]
A. G. Adameet al.(DESI), DESI 2024 VII: Cosmological Constraints from the Full-Shape Modeling of Clustering Mea- surements, arXiv e-prints (2024), arXiv:2411.12022 [astro-ph.CO]
work page Pith review arXiv 2024
-
[4]
R. A. Sunyaev and Y. B. Zeldovich, The Velocity of clusters of galaxies relative to the microwave background. The Possibility of its measurement, Mon. Not. Roy. Astron. Soc.190, 413 (1980)
work page 1980
-
[5]
N. Handet al., Evidence of Galaxy Cluster Motions with the Kinematic Sunyaev-Zel’dovich Effect, Physical Review Letters 109, 041101 (2012)
work page 2012
-
[6]
F. D. Bernardiset al., Detection of the pairwise kinematic Sunyaev-Zel’dovich effect with BOSS DR11 and the Atacama Cosmology Telescope, Journal of Cosmology and Astroparticle Physics2017(03), 008
-
[7]
E. Schaanet al.(ACTPol), Evidence for the kinematic Sunyaev-Zel’dovich effect with the Atacama Cosmology Tele- scope and velocity reconstruction from the Baryon Oscillation Spectroscopic Survey, Phys. Rev. D93, 082002 (2016), arXiv:1510.06442 [astro-ph.CO]
work page Pith review arXiv 2016
-
[8]
K. M. Smith, M. S. Madhavacheril, M. M¨ unchmeyer, S. Ferraro, U. Giri, and M. C. Johnson, KSZ tomography and the bispectrum, arXiv e-prints , arXiv:1810.13423 (2018), arXiv:1810.13423 [astro-ph.CO]
work page Pith review arXiv 2018
Show all 51 references
-
[9]
Dalal, O
N. Dalal, O. Dore, D. Huterer, and A. Shirokov, The imprints of primordial non-gaussianities on large-scale structure: scale dependent bias and abundance of virialized objects, Phys. Rev. D77, 123514 (2008), arXiv:0710.4560 [astro-ph]
2008 arXiv
-
[10]
S. C. Hotinli, K. M. Smith, M. S. Madhavacheril, and M. Kamionkowski, Cosmology with the moving lens effect, Phys. Rev. D104, 083529 (2021), arXiv:2108.02207 [astro-ph.CO]
2021
-
[11]
Birkinshaw and S
M. Birkinshaw and S. F. Gull, A test for transverse motions of clusters of galaxies, Nature (London)302, 315 (1983)
1983
-
[12]
Aghanim, S
N. Aghanim, S. Prunet, O. Forni, and F. R. Bouchet, Moving gravitational lenses: Imprints on the CMB, Submitted to: Astron. Astrophys. (1998), [Astron. Astrophys.334,409(1998)], arXiv:astro-ph/9803040 [astro-ph]
1998 arXiv
-
[13]
R. K. Sachs and A. M. Wolfe, Perturbations of a Cosmological Model and Angular Variations of the Microwave Background, Astrophys. J.147, 73 (1967)
1967
-
[14]
M. J. Rees and D. W. Sciama, Large-scale Density Inhomogeneities in the Universe, Nature (London)217, 511 (1968)
1968
-
[15]
S. C. Hotinli, J. Meyers, N. Dalal, A. H. Jaffe, M. C. Johnson, J. B. Mertens, M. M¨ unchmeyer, K. M. Smith, and A. van Engelen, Transverse Velocities with the Moving Lens Effect, Phys. Rev. Lett.123, 061301 (2019), arXiv:1812.03167 [astro-ph.CO]
2019
-
[16]
Adeet al.(Simons Observatory), The Simons Observatory: Science goals and forecasts, JCAP02, 056, arXiv:1808.07445 [astro-ph.CO]
P. Adeet al.(Simons Observatory), The Simons Observatory: Science goals and forecasts, JCAP02, 056, arXiv:1808.07445 [astro-ph.CO]. 22
-
[17]
P. A. Abellet al.(LSST Science, LSST Project), LSST Science Book, Version 2.0, arXiv e-prints (2009), arXiv:0912.0201 [astro-ph.IM]
2009 arXiv
-
[18]
S. C. Hotinli, M. C. Johnson, and J. Meyers, Optimal filters for the moving lens effect, Phys. Rev. D103, 043536 (2021), arXiv:2006.03060 [astro-ph.CO]
2021
-
[19]
Yasini, N
S. Yasini, N. Mirzatuny, and E. Pierpaoli, Pairwise Transverse Velocity Measurement with the Rees-Sciama Effect, Astro- phys. J. Lett.873, L23 (2019), arXiv:1812.04241 [astro-ph.CO]
2019 arXiv
-
[20]
Obuljen, W
A. Obuljen, W. J. Percival, and N. Dalal, Detection of anisotropic galaxy assembly bias in BOSS DR12, JCAP10, 058, arXiv:2004.07240 [astro-ph.CO]
2004
-
[21]
S. C. Hotinli, E. Pierpaoli, S. Ferraro, and K. Smith, Transverse velocities and matter gradient correlations: a new signal and a new challenge to moving-lens analyses, arXiv e-prints (2023), arXiv:2305.15462 [astro-ph.CO]
2023
-
[22]
S. C. Hotinli and E. Pierpaoli, On the detectability of the moving lens signal in CMB experiments, JCAP06, 076, arXiv:2401.12280 [astro-ph.CO]
-
[23]
Beheshti, E
A. Beheshti, E. Schaan, and A. Kosowsky, The Moving Lens Effect: Simulations, Forecasts and Foreground Mitigation, arXiv e-prints (2024), arXiv:2408.16055 [astro-ph.CO]
2024
-
[24]
B. R. Guachalla, E. Schaan, B. Hadzhiyska, and S. Ferraro, Velocity reconstruction in the era of DESI and Rubin/LSST. I. Exploring spectroscopic, photometric, and hybrid samples, Phys. Rev. D109, 103533 (2024), arXiv:2312.12435 [astro- ph.CO]
2024
-
[25]
Hadzhiyska, S
B. Hadzhiyska, S. Ferraro, B. R. Guachalla, and E. Schaan, Velocity reconstruction in the era of DESI and Rubin/LSST. II. Realistic samples on the light cone, Phys. Rev. D109, 103534 (2024), arXiv:2312.12434 [astro-ph.CO]
2024
-
[26]
S. C. Hotinli, K. M. Smith, and S. Ferraro, Velocity Reconstruction from KSZ: Measuringf N L with ACT and DESILS, arXiv e-prints (2025), arXiv:2506.21657 [astro-ph.CO]
2025
-
[27]
S. Naesset al., The Atacama Cosmology Telescope: arcminute-resolution maps of 18 000 square degrees of the microwave sky from ACT 2008–2018 data combined with Planck, JCAP12, 046, arXiv:2007.07290 [astro-ph.IM]
2008
-
[28]
Coultonet al.(ACT), Atacama Cosmology Telescope: High-resolution component-separated maps across one third of the sky, Phys
W. Coultonet al.(ACT), Atacama Cosmology Telescope: High-resolution component-separated maps across one third of the sky, Phys. Rev. D109, 063530 (2024), arXiv:2307.01258 [astro-ph.CO]
2024
-
[29]
Aghamousaet al.(DESI), The DESI Experiment Part I: Science,Targeting, and Survey Design, arXiv e-prints (2016), arXiv:1611.00036 [astro-ph.IM]
A. Aghamousaet al.(DESI), The DESI Experiment Part I: Science,Targeting, and Survey Design, arXiv e-prints (2016), arXiv:1611.00036 [astro-ph.IM]
2016 arXiv
-
[30]
Zhouet al.(DESI), Target Selection and Validation of DESI Luminous Red Galaxies, Astron
R. Zhouet al.(DESI), Target Selection and Validation of DESI Luminous Red Galaxies, Astron. J.165, 58 (2023), arXiv:2208.08515 [astro-ph.CO]
2023
-
[31]
Akramiet al.(Planck),P lanckintermediate results
Y. Akramiet al.(Planck),P lanckintermediate results. LVII. Joint Planck LFI and HFI data processing, Astron. Astrophys. 643, A42 (2020), arXiv:2007.04997 [astro-ph.CO]
2020
-
[32]
Villaescusa-Navarroet al., The Quijote simulations, Astrophys
F. Villaescusa-Navarroet al., The Quijote simulations, Astrophys. J. Suppl.250, 2 (2020), arXiv:1909.05273 [astro-ph.CO]
2020
-
[33]
A. S. Maniyar, M. B´ ethermin, and G. Lagache, Simple halo model formalism for the cosmic infrared background and its correlation with the thermal Sunyaev-Zel’dovich effect, Astron. Astrophys.645, A40 (2021), arXiv:2006.16329 [astro- ph.CO]
2021
-
[34]
Harscouet, K
L. Harscouet, K. Wolz, A. Wayland, D. Alonso, and B. Hadzhiyska, kSZ for everyone: the pseudo-Cl approach to stacking, arXiv e-prints (2025), arXiv:2512.14625 [astro-ph.CO]
2025
-
[35]
F. J. Quet al., Precision Kinematic Sunyaev–Zel’dovich Measurements Across Halo Mass and Redshift with DESI DR2 and ACT DR6: Part I. Luminous Red Galaxies, arXiv e-prints (2026), arXiv:2604.19744 [astro-ph.CO]
2026 arXiv
-
[36]
Hadzhiyskaet al., Precision Kinematic Sunyaev–Zel’dovich Measurements Across Halo Mass and Redshift with DESI DR2 and ACT DR6: Part II
B. Hadzhiyskaet al., Precision Kinematic Sunyaev–Zel’dovich Measurements Across Halo Mass and Redshift with DESI DR2 and ACT DR6: Part II. Bright Galaxy Survey and Emission-Line Galaxies, arXiv e-prints (2026), arXiv:2604.19745 [astro-ph.CO]
2026 arXiv
-
[37]
M. S. Madhavacheril, N. Battaglia, K. M. Smith, and J. L. Sievers, Cosmology with the kinematic Sunyaev-Zeldovich effect: Breaking the optical depth degeneracy with fast radio bursts, Phys. Rev. D100, 103532 (2019), arXiv:1901.02418 [astro-ph.CO]
2019
-
[38]
Hadzhiyska, S
B. Hadzhiyska, S. Ferraro, G. S. Farren, N. Sailer, and R. Zhou, Missing baryons recovered: A measurement of the gas fraction in galaxies and groups with the kinematic Sunyaev-Zel’dovich effect and CMB lensing, Phys. Rev. D112, 123507 (2025), arXiv:2507.14136 [astro-ph.CO]
2025
-
[39]
Deyet al., Overview of the DESI Legacy Imaging Surveys, AJ157, 168 (2019), arXiv:1804.08657 [astro-ph.IM]
A. Deyet al., Overview of the DESI Legacy Imaging Surveys, AJ157, 168 (2019), arXiv:1804.08657 [astro-ph.IM]
2019 arXiv
-
[40]
Zhouet al., DESI luminous red galaxy samples for cross-correlations, JCAP11, 097, arXiv:2309.06443 [astro-ph.CO]
R. Zhouet al., DESI luminous red galaxy samples for cross-correlations, JCAP11, 097, arXiv:2309.06443 [astro-ph.CO]
-
[41]
Whiteet al., Cosmological constraints from the tomographic cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing, JCAP02(02), 007, arXiv:2111.09898 [astro-ph.CO]
M. Whiteet al., Cosmological constraints from the tomographic cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing, JCAP02(02), 007, arXiv:2111.09898 [astro-ph.CO]
-
[42]
Hadzhiyska, S
B. Hadzhiyska, S. Ferraro,et al., Evidence for large baryonic feedback at low and intermediate redshifts from kine- matic Sunyaev-Zel’dovich observations with ACT and DESI photometric galaxies, Phys. Rev. D112, 083509 (2025), arXiv:2407.07152 [astro-ph.CO]
2025
-
[43]
Naesset al.(ACT), The Atacama Cosmology Telescope: DR6 maps, JCAP2025(11), 061, arXiv:2503.14451 [astro- ph.CO]
S. Naesset al.(ACT), The Atacama Cosmology Telescope: DR6 maps, JCAP2025(11), 061, arXiv:2503.14451 [astro- ph.CO]
-
[44]
Planck Collaboration, Planck 2015 results. XLVIII. An overview of the GNILC method applied to polarized thermal dust emission, Astron. Astrophys.596, A109 (2016), arXiv:1605.09387 [astro-ph.CO]
2015 arXiv
-
[45]
surrogate
A. R. Duffy, J. Schaye, S. T. Kay, and C. Dalla Vecchia, Dark matter halo concentrations in the Wilkinson Microwave Anisotropy Probe year 5 cosmology, Mon. Not. Roy. Astron. Soc.390, L64 (2008), [Erratum: Mon.Not.Roy.Astron.Soc. 23 415, L85 (2011)], arXiv:0804.2486 [astro-ph]....
2008 arXiv
-
[46]
In each Monte Carlo iteration, we simulate ˆv a(θ) using the surrogate method from Appendix A (see Eq. A7). 25 We construct anX-field by stacking simulated ˆv a values on real galaxy locations: Xsim a (θ) = X i∈gal Wi ˆvsim a (xi)δ 2(θ−θ i),(B1) and decompose into gradient/cur...
-
[47]
(We checked that if we restrict to the non-DES subset of the SGC, then the value ofAdecreases to a value which is similar to the NGC.)
When we compare the gradient auto power spectrumC GG,sim ℓ of the simulations to the data, we find that they differ by anℓ-independent constant (forℓ >∼ 2500): C GG,data ℓ =A 2 C GG,sim ℓ whereA= 1.18 NGC main sample 1.08 NGC extended sample 1.36 SGC main sample 1....
-
[48]
snapshot
We correlateX G,sim ℓm with the ACT data (not an ACT simulation), obtainingC T G,sim ℓ . We bin the power spectrumC T G,sim ℓ inℓ(as in Eq. 22) obtaining a length-N b vectors b. We then estimate the binned power spectrum covarianceC bb′ from the simulations, assuming zero off-...
-
[49]
painting
Toy tSZ model Nearly 100% of the tSZ signal comes from halos that are resolved by Quijote (M≥2×10 13 M⊙). Therefore, our toy tSZ model uses the Quijote halo catalog atz ∗ = 1, rather than the matter snapshot. We simulate they-map by “painting” an azimuthally symmetric profiley...
-
[50]
Therefore, our toy CIB model will use the matter snapshot of the Quijote simulations, not the halo catalog
Toy CIB model Most of the CIB signal comes from halos that are not resolved by Quijote (in contrast to the preceding tSZ case). Therefore, our toy CIB model will use the matter snapshot of the Quijote simulations, not the halo catalog. We simply assume that CIB emission is pro...
-
[51]
moving lens signal
Simplified moving-lens pipeline For each Quijote simulation, we run a simplified moving-lens pipeline which follows the steps from our main pipeline (§III), adapted to the snapshot geometry. Since the input to our pipeline is a galaxy field, we use the Quijote halo catalog (i....
Reviewed May 20, 2026 · model on record in the stance chip above.
Discussion (0). Sign in to comment.