REVIEW 3 major objections 5 minor 85 references
A single CMB-CMB-galaxy bispectrum unifies existing polarized-SZ statistics and, applied to Planck and ACT data, yields first constraints on the optical-depth bias, reionization, and tensor-to-scalar ratio — all consistent with no detection
Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →
T0 review · deepseek-v4-flash
2026-08-01 21:25 UTC pith:PGOXQ3XD
load-bearing objection First pSZ bispectrum analysis on real data with a credible null result, but the headline constraints hinge on an unvalidated remote-quadrupole template choice. the 3 major comments →
Constraints on the remote quadrupole field from the polarized Sunyaev Zel'dovich effect
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The paper's central claim is that a CMB-CMB-galaxy bispectrum is the natural summary statistic for the pSZ effect: it is a single, minimum-variance estimator whose three factorized pieces are exactly the intermediate quantities the literature has pursued separately — a remote-quadrupole reconstruction, a pSZ template, and an optical-depth reconstruction. Correlating the reconstructed quadrupole with a maximum-likelihood template built from the observed low-ℓ CMB temperature and E-mode polarization yields an amplitude whose ensemble mean is the optical-depth bias b_q; using only the E-mode part of the template converts the same estimator into one for τ_rei, and the B-mode part into one for th
What carries the argument
The load-bearing object is the pSZ bispectrum template and its pixel-space estimator, which factorizes into three filtered maps: an optical-depth template built from the tracer map weighted by the ratio of the galaxy-optical-depth cross-spectrum to the galaxy auto-spectrum; an inverse-variance filtered high-ℓ CMB polarization pair; and a maximum-likelihood remote-quadrupole template built from low-ℓ CMB temperature and E-mode polarization via the conditional-mean formula of Eq. (2.29), averaged over the quadrupole window function that marks the tracer's redshift sensitivity. The bispectrum amplitude estimator is the overlap integral of these three filtered fields, and its ensemble average eq
Load-bearing premise
The results rest on the assumption that the remote-quadrupole template built from the largest-scale CMB temperature and polarization maps is an unbiased picture of the true quadrupole at redshift 1–2; the paper's own appendix shows that swapping how that template is cleaned moves the headline numbers by several times their quoted errors.
What would settle it
A decisive check: recompute the benchmark ACT 90 GHz × CIB 353 GHz estimators with each of the four cleaned CMB templates propagated through the full covariance. If the NILC-style template still shifts b_q by about five units while Commander and SEVEM agree, the quoted ±2.64 error understates the systematic. Conversely, a LiteBIRD-class survey is forecast to reach σ_bq ≈ 0.77; a statistically significant nonzero amplitude there would confirm the construction.
If this is right
- If b_q is measurable at the forecast sensitivity, the pSZ bispectrum becomes a single end-to-end pipeline replacing the separate cluster-stacking, quadrupole-reconstruction, and optical-depth-reconstruction analyses of earlier work, since those are the same estimator decomposed three ways.
- A factor-of-three improvement — e.g., LiteBIRD × CIB 353 GHz, projected to reach σ_bq ≈ 0.77 and σ_τrei ≈ 0.041 — would be the first combination expected to detect the pSZ remote quadrupole at more than 1σ and to begin an independent check of the reionization optical depth against the primary-CMB value τ_rei ≈ 0.054.
- Because the low observed local temperature quadrupole is a chance fluctuation within ΛCDM, the remote quadrupole reverts to the mean by z ~ 2; the paper concludes the quadrupole anomaly does not suppress pSZ detectability at moderate redshift, and tracers peaking at z ~ 1.5–2 (the CIB) outperform lower-redshift samples (unWISE) by about 1.5–2×.
- Sensitivity peaks at ℓ ~ 100, in the two-halo regime of the galaxy–gas correlation, so the pSZ amplitude is largely insensitive to baryonic feedback and the optical-depth bias stays near unity even under strong feedback — unlike the kSZ effect, whose one-halo sensitivity suppresses the signal.
- The same estimator gives the first proof-of-principle bounds on the tensor-to-scalar ratio from pSZ; the bounds tighten by roughly a factor of 50 for a red tensor tilt (n_t = −1) and would become a complementary, independent probe of primordial gravitational waves at next-generation sensitivity.
Where Pith is reading between the lines
- The headline error bars treat the remote-quadrupole template as fixed, but the paper's own appendix shows the choice of cleaned CMB map matters: switching the template from Commander (the adopted choice) to NILC moves b_q from 1.02 ± 2.64 to 6.21 ± 2.86 and τ_rei from −0.01 ± 0.14 to 0.27 ± 0.15. A reader should expect the true systematic uncertainty to be at least comparable to that shift; adding
- The pipeline simulations recover b_q ≈ 1.15–1.20 when 1.0 is injected — a 10–20% estimator bias the authors leave in the quoted prefactor, noting a correction is possible. That is small against today's uncertainties but will matter at the forecast factor-of-three improvement.
- The same three-filter factorization applies to the kinetic polarized SZ effect and to patchy screening during reionization, so the machinery here is likely transferable to those signals, which the paper identifies as future work.
- A tomographic version of this bispectrum — splitting the tracer into narrow redshift bins — would map the remote quadrupole's full redshift evolution, directly testing the ΛCDM 'reversion to the mean' prediction against new-physics models that suppress large-scale power, because the low-redshift template and the z ~ 2 signal decorrelate differently in the two cases.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper presents a CMB-CMB-LSS bispectrum formalism for the polarized Sunyaev-Zeldovich (pSZ) effect and applies it to current data. The authors model the pSZ signal as a product of the inhomogeneous optical depth and the remote quadrupole, construct a pixel-space bispectrum amplitude estimator, and evaluate it using Planck and ACT polarization maps cross-correlated with unWISE galaxies and Planck CIB maps. They report no statistically significant detection, and interpret the measured amplitude as constraints on the optical depth bias b_q = 1.02 ± 2.64, the reionization optical depth τ_rei = −0.01 ± 0.14, and the tensor-to-scalar ratio r with σ_r ~ 150 (n_t = 0) or σ_r ~ 3 (n_t = −1). The estimator is validated with 1500 simulations, and the pipeline is described in detail, including a comparison of four Planck component-separated maps for the remote-quadrupole template in Appendix G.
Significance. If the result holds, this is the first observational constraint on the remote quadrupole field through pSZ and a useful proof of principle for a promising future probe of reionization and large-scale CMB anomalies. The paper is careful in several respects: the estimator is explicitly derived, the pipeline is tested on 1500 simulations, and the analysis is transparent about foreground checks and component-separation dependence. The main scientific value is the demonstration that current data can achieve order-unity signal-to-noise on a pSZ-type statistic, and the forecasts for future experiments are useful. However, the quantitative constraints in the abstract and Section 8 are conditional on the choice of the large-scale CMB template, and Appendix G shows that this choice changes the benchmark results by more than the quoted statistical errors. The central null result is robust, but the b_q, τ_rei, and r constraints are not as robust as the abstract implies.
major comments (3)
- [Appendix G, Table 12; Section 8] The headline constraints are conditioned on the Commander-based remote-quadrupole template constructed via Eq. (2.29). Appendix G, Table 12 shows that replacing Commander with NILC for the benchmark ACT 90 GHz × CIB 353 GHz combination changes b_q from 1.02 ± 2.64 to 6.21 ± 2.86 and τ_rei from −0.007 ± 0.145 to 0.268 ± 0.148. These shifts are ~1.3σ in quadrature and, for NILC, 2.2σ from zero in b_q. The abstract and Section 8 quote Commander-conditional errors without a template-systematic term. Because the same low-ℓ E-modes anchor both the template and the reionization-era remote quadrupole, this is not a minor validation detail: the quoted b_q, τ_rei, and r constraints are not robust to a defensible component-separation choice. Please either add a template systematic term to the quoted uncertainties, marginalize over component-separation choices, or present the constraints as conditio
- [Section 4.2, Eq. (4.18); Section 8] The τ_rei estimator is not an independent probe: Eq. (4.18) gives ⟨τ̂_rei⟩ = b_q [τ_rei]_t, and the analysis sets b_q = 1 without propagating the measured b_q uncertainty. With b_q = 1.02 ± 2.64, the systematic uncertainty in the gas model is far larger than the quoted σ_τrei = 0.14 in Eq. (4.17), which is only the noise-only variance. The same issue applies to the r constraints, which are normalized by a fiducial model with b_q fixed. As a result, the quoted τ_rei = −0.01 ± 0.14 should be presented as a constraint conditional on b_q = 1, not as a standalone measurement of the reionization optical depth. The paper states this assumption in words, but the abstract and Tables 4–5 do not carry the caveat into the presented uncertainties.
- [Section 5.5, Figs. 10–11] The simulation validation reports a 10–20% positive bias in the recovered b_q: signal+noise means are 1.15 (unWISE) and 1.20 (CIB 353), while signal-only means are 1.12 and 1.17 for an injected b_q = 1. The authors choose not to correct this bias and state that Eq. (4.7) is a slight overestimate of the variance. This is acceptable for the present null result, but it will become load-bearing at the factor-of-3 improvement forecast in Section 5.4, and it should be understood and corrected before the estimator is used for precision measurements. At minimum, please state explicitly in Section 5.5 that the estimator is not unbiased at the few-percent level and quantify the effect on the quoted central values if no correction is applied.
minor comments (5)
- [Section 2.1, Eq. (2.13)] The gas model parameters b*(z), γ(z), and k*(z) are given with four decimal places, but their uncertainties and covariance are not discussed. Since b_q is the primary target, a sensitivity test to these parameters would help the reader understand the model dependence beyond the template choice.
- [Section 5.2 and Table 1] The forecast table quotes σ_bq and σ_τrei for unWISE and CIB tracers, but the text does not give the corresponding effective redshift windows for the unWISE 'blue' and 'green' bins separately. Please include the redshift distributions or window functions used in the forecast so that the results are reproducible.
- [Section 6 and Appendix F] The low-ℓ excess power in ACT × CIB reconstructions is attributed to residual galactic dust correlated between the CIB and high-frequency CMB maps. It would be helpful to show the actual level of the excess in units of the reconstruction noise for each channel, e.g., a reduced χ², rather than only a visual comparison in Figs. 12–13.
- [Appendix G] The inpainting-uncertainty estimate uses random Gaussian realizations inside the galactic mask that are uncorrelated with the unmasked sky. The text correctly states that this is an upper bound, but it would be useful to quote the resulting uncertainty on C_qE_ℓ in a table or in the text, not only in Figure 22.
- [Section 8, Tables 3–5] The r constraints are given for five basis directions e(α), but no combined or marginalized constraint is reported. Given that the five directions are not fully independent under the mask, the reader should be told whether the quoted σ_r ~ 150 or σ_r ~ 3 is the minimum, mean, or some other summary over the five directions.
Circularity Check
No significant circularity; the b_q estimator is self-contained and simulation-validated, while the τrei/r projections are transparent conditional rescalings, not independent measurements.
full rationale
The paper's central estimator for the optical depth bias b_q (Eq. 4.4) is a matched-filter cross-correlation between high-ℓ CMB polarization, low-ℓ CMB T/E templates (Eq. 2.29), and tracer fields. Its normalization is fixed by theory spectra, not by fitting the signal amplitude; simulations with injected b_q=1 confirm the variance agrees with Eq. (4.7) to a few percent (Sec. 5.5). No step reduces to its own input by construction. The τrei and r constraints (Secs. 4.2-4.3) are amplitude rescalings of the same bispectrum: Eq. (4.18) states ⟨τ̂rei⟩=b_q[τrei]_t, and the analysis explicitly sets b_q=1 in Sec. 4.2, so these are conditional projections rather than independent measurements, but the paper states this assumption and does not claim independence. Appendix G shows the remote-quadrupole template central values shift by ~2σ between Commander and NILC (Table 12), which is a relevant systematic uncertainty, but it is modeling uncertainty rather than a circular derivation. Self-citations to prior work (e.g., Refs. [25,26,50]) provide transfer functions and methodology, and the paper re-derives the template and transfer functions explicitly in Appendices A-B; they are not used as an unverified uniqueness premise. No load-bearing self-citation chain is present.
Axiom & Free-Parameter Ledger
free parameters (6)
- fgas (ionized baryon fraction) =
0.9
- k*(z) electron-bias break scale =
adjusted from Takahashi+2020 to match ACT×DESI kSZ b_v constraints
- CIB bright-source flux thresholds =
0.035 / 0.10 / 0.18 MJy/sr at 353/545/857 GHz
- ℓ_min multipole filters per data combination =
e.g., 25 for ACT90/unWISE, up to 450 for Planck353/unWISE (Table 9)
- galaxy bias b_g(χ) =
not specified numerically
- electron bias parameters b*(z), γ(z) =
Eq. (2.14)
axioms (5)
- domain assumption e^{-τ}≈1 and factorization C^{τg}≈C̄^{τg}_ℓ W_q(χ) (Eq. 3.7)
- domain assumption Galaxy, CIB, and electron density fields are linear biased tracers of the dark matter field (Eqs. 2.4, 2.12)
- standard math CAMB linear transfer functions describe remote quadrupole / CMB correlations (Eq. 2.27, App. A)
- domain assumption Commander inpainted low-ℓ maps provide signal-dominated T/E data for the template (Eq. 2.29)
- standard math Gaussian field statistics for bispectrum estimator optimality (Eqs. 3.11–3.13)
read the original abstract
The polarized Sunyaev Zel'dovich (pSZ) effect is a cosmic microwave background (CMB) polarization anisotropy induced by Thomson scattering from free-electrons in non-linear structure. The pSZ signal is determined by the distribution of ionized gas tracing the cosmic web and the CMB quadrupole at the location of free-electrons - the remote quadrupole field. Measuring the pSZ effect provides a consistency check of the optical depth to reionization and sheds light on the anomalous nature of the large-scale CMB temperature anisotropies, such as the low observed CMB temperature quadrupole. In this paper, we demonstrate that a CMB-CMB-galaxy bispectrum summarizes several existing pSZ statistics, and that in our observable Universe the ideal galaxy sample to detect pSZ is at $z \sim 1-2$. We evaluate the bispectrum using CMB data from Planck and ACT with galaxy density from the unWISE galaxy redshift catalog as well as Planck cosmic infrared background (CIB) maps. We do not make a statistically significant detection of the pSZ effect, which is consistent with the expected O$(1)$ signal-to-noise from this data combination. The measured amplitude of the pSZ bispectrum provides constraints on the optical depth bias associated with large-scale structure (the amplitude of the pSZ signal) of $b_q=1.02 \pm 2.64$, the optical depth to reionization of $\tau_{\rm rei} = -0.01 \pm 0.14$, and the tensor-to-scalar ratio $r$ of $\sigma_r \sim 150$ ($n_t = 0$) or $\sigma_r \sim 3$ ($n_t = -1$). We forecast that future measurements could tighten the constraints on these quantities by roughly a factor of 3, which is sufficient to provide independent confirmation of the low CMB quadrupole and the optical depth to reionization.
Reference graph
Works this paper leans on
-
[6]
S. C. Hotinli, K. M. Smith, S. Ferraro, et al.,First detection of the moving lens effect with ACT and DESI LS,arXiv:2605.18938. [7]HSC, DES, ACTCollaboration, M. Aguena et al.,The Atacama Cosmology Telescope: DR6 Sunyaev-Zel’dovich Selected Galaxy Clusters Catalog,Open J. Astrophys.9(2026) 155863, [arXiv:2507.21459]
Pith/arXiv arXiv 2026
-
[8]
B. Hadzhiyska, S. Ferraro, B. Ried Guachalla, et al.,Evidence for large baryonic feedback at low and – 45 – 0 1 2Cℓ ×10−9 ACT 90 GHz x CIB 857 GHz 0 1 2 3 ×10−9 ACT 150 GHz x CIB 857 GHz 0 5 10 15 20 ℓ 0 2 4 6Cℓ ×10−8 ACT 220 GHz x CIB 857 GHz 0 5 10 15 20 ℓ 0 1 2 3 ×10−9 ACT NILC x CIB 857 GHz Nq C ˆqE ˆqE ℓ C ˆqB ˆqB ℓ Figure 21: Same as figure (20), bu...
arXiv 2025
-
[10]
J. Krywonos, S. C. Hotinli, and M. C. Johnson,Constraints on cosmology beyondΛCDM with kinetic Sunyaev Zel’dovich velocity reconstruction,arXiv:2408.05264
-
[11]
E. Chaussidon et al.,Measurement of the galaxy-velocity power spectrum of DESI tracers with the kinematic Sunyaev-Zeldovich effect using DESI DR2 and ACT DR6,arXiv:2604.04867
-
[12]
R. A. Sunyaev and Y. B. Zeldovich,The velocity of clusters of galaxies relative to the microwave background. The possibility of its measurement,Monthly Notices of the Royal Astronomical Society 190(mar, 1980) 413–420
1980
-
[13]
M. Kamionkowski and A. Loeb,Getting around cosmic variance,Phys. Rev. D56(1997) 4511–4513, [astro-ph/9703118]
Pith/arXiv arXiv 1997
-
[14]
Gruzinov and W
A. Gruzinov and W. Hu,Secondary cosmic microwave background anisotropies in a universe reionized in patches,The Astrophysical Journal508(Dec., 1998) 435–439
1998
-
[15]
G. Liu, N. Sugiyama, A. J. Benson, C. G. Lacey, and A. Nusser,Polarization of the cosmic microwave background from nonuniform reionization,The Astrophysical Journal561(Nov., 2001) 504–516
2001
-
[16]
A. Roy, G. Kulkarni, P. D. Meerburg, et al.,Revised estimates of CMBB-mode polarization induced by patchy reionization,JCAP01(2021) 003, [arXiv:2004.02927]. – 46 – 3 4 5 6 7C qE 2 ×10−11 2 4C qE 3 ×10−12 Commander SEVEM SMICA NILC 2 3C qE 4 ×10−12 Figure 22: Template power spectraC qE ℓ for the CIB 353 GHz redshift bin atℓ= 2 (top),ℓ= 3 (middle), andℓ= 4 ...
Pith/arXiv arXiv 2021
-
[17]
Audit and J
E. Audit and J. F. L. Simmons,The kinematic Sunyaev–Zel’dovich effect and transverse cluster velocities,Monthly Notices of the Royal Astronomical Society305(May, 1999) L27–L30
1999
-
[18]
N. Itoh, Y. Kohyama, and S. Nozawa,Relativistic Corrections to the Sunyaev-Zel’dovich Effect for Clusters of Galaxies,Astrophys. J.502(1998) 7–15, [astro-ph/9712289]
Pith/arXiv arXiv 1998
-
[19]
A. Challinor, M. Ford, and A. Lasenby,Thermal and kinematic corrections to the microwave background polarization induced by galaxy clusters along the line of sight,Mon. Not. Roy. Astron. Soc. 312(2000) 159–165, [astro-ph/9905227]
Pith/arXiv arXiv 2000
-
[20]
S. C. Hotinli, G. P. Holder, M. C. Johnson, and M. Kamionkowski,Cosmology from the kinetic polarized Sunyaev Zel’dovich effect,JCAP10(2022) 026, [arXiv:2204.12503]. [21]SPT-3G, DESCollaboration, E. Schiappucci et al.,Measurement of the mean central optical depth of galaxy clusters via the pairwise kinematic Sunyaev-Zel’dovich effect with SPT-3G and DES,Ph...
Pith/arXiv arXiv 2022
-
[22]
Camphuis, W
E. Camphuis, W. Quan, L. Balkenhol, et al.,SPT-3G D1: CMB temperature and polarization power spectra and cosmology from 2019 and 2020 observations of the SPT-3G main field,Physical Review D 113(Apr., 2026)
2019
-
[23]
A. Terrana, M.-J. Harris, and M. C. Johnson,Analyzing the cosmic variance limit of remote dipole measurements of the cosmic microwave background using the large-scale kinetic Sunyaev Zel’dovich effect,Journal of Cosmology and Astroparticle Physics2017(feb, 2017) 040–040, [arXiv:1610.06919]
Pith/arXiv arXiv 2017
-
[24]
Deutsch, E
A.-S. Deutsch, E. Dimastrogiovanni, M. C. Johnson, M. M¨ unchmeyer, and A. Terrana,Reconstruction of the remote dipole and quadrupole fields from the kinetic Sunyaev Zel’dovich and polarized Sunyaev Zel’dovich effects,Physical Review D98(dec, 2018) 123501
2018
-
[25]
S. S. Gandhi, M. C. Johnson, J. Krywonos, and M. J. Hudson,Measuring cosmic bulk flow with kinetic Sunyaev-Zel’dovich velocity reconstruction,arXiv:2605.12499. – 47 – Commander Q Template -22.7125 16.8669µK Commander U Template -17.4069 16.8977µK SEVEM Q Template -21.1291 15.4488µK SEVEM U Template -17.9861 14.2326µK SMICA Q Template -25.193 15.3838µK SMI...
-
[26]
A.-S. Deutsch, M. C. Johnson, M. M¨ unchmeyer, and A. Terrana,Polarized Sunyaev Zel’dovich tomography,JCAP04(2018) 034, [arXiv:1705.08907]
Pith/arXiv arXiv 2018
-
[27]
J. I. Cayuso and M. C. Johnson,Towards testing CMB anomalies using the kinetic and polarized Sunyaev-Zel’dovich effects,Phys. Rev. D101(2020), no. 12 123508, [arXiv:1904.10981]. [28]PlanckCollaboration, Y. Akrami et al.,Planck 2018 results. VII. Isotropy and Statistics of the CMB, Astron. Astrophys.641(2020) A7, [arXiv:1906.02552]
Pith/arXiv arXiv 2020
-
[29]
N. Seto and M. Sasaki,Polarization signal of distant clusters and reconstruction of primordial potential fluctuations,Phys. Rev. D62(2000) 123004, [astro-ph/0009222]
Pith/arXiv arXiv 2000
-
[30]
L. R. Abramo and H. S. Xavier,Real space tomography of the primordial Universe with cluster – 49 – polarization,Phys. Rev. D75(2007) 101302, [astro-ph/0612193]
Pith/arXiv arXiv 2007
-
[31]
E. F. Bunn,Probing the universe on gigaparsec scales with remote cosmic microwave background quadrupole measurements,Phys. Rev. D73(2006) 123517, [astro-ph/0603271]
Pith/arXiv arXiv 2006
-
[32]
J. Portsmouth,Analysis of the Kamionkowski-Loeb method of reducing cosmic variance with cmb polarization,Phys. Rev. D70(2004) 063504, [astro-ph/0402173]
Pith/arXiv arXiv 2004
-
[33]
N. Seto and E. Pierpaoli,Probing the largest scale structure in the Universe with polarization map of galaxy clusters,Phys. Rev. Lett.95(2005) 101302, [astro-ph/0502564]
Pith/arXiv arXiv 2005
-
[34]
A. Adil, R. Koutras, and E. F. Bunn,Circumventing cosmic variance via remote quadrupole measurements,Physical Review D112(2025), no. 2
2025
-
[35]
E. Alizadeh and C. M. Hirata,How to detect gravitational waves through the cross correlation of the galaxy distribution with the CMB polarization,Physical Review D—Particles, Fields, Gravitation, and Cosmology85(June, 2012) 123540, [arXiv:1201.5374]
Pith/arXiv arXiv 2012
-
[36]
A.-S. Deutsch, E. Dimastrogiovanni, M. Fasiello, M. C. Johnson, and M. M¨ unchmeyer,Primordial gravitational wave phenomenology with polarized Sunyaev Zel’dovich tomography,Phys. Rev. D100 (2019), no. 8 083538, [arXiv:1810.09463]. [37]CMB-HDCollaboration, S. Aiola et al.,Snowmass2021 CMB-HD White Paper,arXiv:2203.05728
Pith/arXiv arXiv 2019
-
[38]
N. Lee, S. C. Hotinli, and M. Kamionkowski,Probing cosmic birefringence with polarized Sunyaev-Zel’dovich tomography,Phys. Rev. D106(2022), no. 8 083518, [arXiv:2207.05687]
Pith/arXiv arXiv 2022
-
[39]
A. K. Gon and R. Khatri,The pairwise and cross-pairwise y-type polarised kinetic Sunyaev Zeldovich effect from transverse velocity of galaxy clusters,JCAP11(2023) 072, [arXiv:2308.01730]
Pith/arXiv arXiv 2023
-
[40]
T. Namikawa and I. Obata,Cosmic birefringence tomography with polarized Sunyaev-Zel’dovich effect, Phys. Rev. D108(2023), no. 8 083510, [arXiv:2306.08875]
Pith/arXiv arXiv 2023
-
[41]
D. Baumann and A. Cooray,CMB-induced cluster polarization as a cosmological probe,New Astron. Rev.47(2003) 839–843, [astro-ph/0304416]
Pith/arXiv arXiv 2003
-
[42]
O. H. E. Philcox and M. C. Johnson,Novel cosmological tests from combining galaxy lensing and the polarized Sunyaev-Zel’dovich effect,Phys. Rev. D106(2022), no. 8 083501, [arXiv:2206.07054]
Pith/arXiv arXiv 2022
-
[43]
Z. Pan and M. C. Johnson,Forecasted constraints on modified gravity from Sunyaev-Zel’dovich tomography,Phys. Rev. D100(2019), no. 8 083522, [arXiv:1906.04208]
Pith/arXiv arXiv 2019
-
[44]
J. Meyers, P. D. Meerburg, A. van Engelen, and N. Battaglia,Beyond CMB cosmic variance limits on reionization with the polarized Sunyaev-Zel’dovich effect,Phys. Rev. D97(2018), no. 10 103505, [arXiv:1710.01708]
Pith/arXiv arXiv 2018
-
[45]
S. Yasini and E. Pierpaoli,Kinetic Sunyaev Zeldovich effect in an anisotropic CMB model: measuring low multipoles of the CMB at higher redshifts using intensity and polarization spectral distortions, Phys. Rev. D94(2016), no. 2 023513, [arXiv:1605.02111]
Pith/arXiv arXiv 2016
-
[46]
K. M. Smith, M. S. Madhavacheril, M. M¨ unchmeyer, et al.,KSZ tomography and the bispectrum, arXiv:1810.13423
-
[47]
S. Y. Sazonov and R. A. Sunyaev,Microwave polarization in the direction of galaxy clusters induced by the CMB quadrupole anisotropy,Mon. Not. Roy. Astron. Soc.310(1999) 765–772, [astro-ph/9903287]
Pith/arXiv arXiv 1999
-
[48]
A. Hall and A. Challinor,Detecting the polarization induced by scattering of the microwave background quadrupole in galaxy clusters,Phys. Rev. D90(2014), no. 6 063518, [arXiv:1407.5135]
Pith/arXiv arXiv 2014
-
[49]
G.-C. Liu, K. Ichiki, H. Tashiro, and N. Sugiyama,Reconstruction of CMB Temperature Anisotropies with Primordial CMB Induced Polarization in Galaxy Clusters,Mon. Not. Roy. Astron. Soc.460 (2016), no. 1 L104–L108, [arXiv:1603.06166]
Pith/arXiv arXiv 2016
-
[50]
A.-S. Deutsch, E. Dimastrogiovanni, M. C. Johnson, M. M¨ unchmeyer, and A. Terrana,Reconstruction of the remote dipole and quadrupole fields from the kinetic Sunyaev Zel’dovich and polarized Sunyaev Zel’dovich effects,Phys. Rev. D98(2018), no. 12 123501, [arXiv:1707.08129]
Pith/arXiv arXiv 2018
-
[51]
Dvorkin and K
C. Dvorkin and K. M. Smith,Reconstructing patchy reionization from the cosmic microwave background,Physical Review D79(Feb., 2009). – 50 –
2009
-
[52]
A. Roy, A. van Engelen, V. Gluscevic, and N. Battaglia,Probing the Circumgalactic Medium with Cosmic Microwave Background Polarization Statistical Anisotropy,Astrophys. J.951(2023), no. 1 50, [arXiv:2201.05076]
Pith/arXiv arXiv 2023
-
[53]
R. Bloch and M. C. Johnson,Kinetic Sunyaev Zel’dovich velocity reconstruction from Planck and unWISE, https://arxiv.org/abs/2405.00809, 2024
Pith/arXiv arXiv 2024
-
[54]
F. McCarthy et al.,The Atacama Cosmology Telescope: Large-scale velocity reconstruction with the kinematic Sunyaev-Zel’dovich effect and DESI LRGs,JCAP05(2025) 057, [arXiv:2410.06229]
Pith/arXiv arXiv 2025
-
[55]
S. C. Hotinli, K. M. Smith, and S. Ferraro,Velocity Reconstruction from KSZ: Measuringf N Lwith ACT and DESILS,arXiv:2506.21657
-
[56]
J. Siegel, L. Bigwood, A. Amon, et al.,The suppression of the matter power spectrum: strong feedback from X-ray gas mass fractions, kSZ effect profiles, and galaxy-galaxy lensing,arXiv:2512.02954
-
[57]
L. Bigwood, M. Yamamoto, J. Siegel, et al.,The kinetic Sunyaev Zeldovich effect as a benchmark for AGN feedback models in hydrodynamical simulations: insights from DESI + ACT,arXiv:2510.15822
-
[58]
F. McCarthy et al.,The Atacama Cosmology Telescope: Cross-correlation of kSZ and continuity equation velocity reconstruction with photometric DESI LRGs,arXiv:2511.15701
-
[59]
Alizadeh and C
E. Alizadeh and C. M. Hirata,How to detect gravitational waves through the cross correlation of the galaxy distribution with the cmb polarization,Physical Review D85(June, 2012)
2012
-
[60]
Planck Collaboration,Planck 2018 results. I. Overview and the cosmological legacy of Planck, Astronomy & Astrophysics641(sep, 2020) A1
2018
-
[61]
Y.-K. Chiang, B. M´ enard, and D. Schiminovich,Broadband Intensity Tomography: Spectral Tagging of the Cosmic UV Background,Astrophys. J.877(June, 2019) 150, [arXiv:1810.00885]
Pith/arXiv arXiv 2019
-
[62]
Y.-K. Chiang, R. Makiya, and B. M´ enard,Cosmic Infrared Background Tomography and a Census of Cosmic Dust and Star Formation,Astrophys. J.992(2025), no. 1 65, [arXiv:2504.05384]
Pith/arXiv arXiv 2025
-
[63]
R. Takahashi, K. Ioka, A. Mori, and K. Funahashi,Statistical modelling of the cosmological dispersion measure,Monthly Notices of the Royal Astronomical Society502(oct, 2020) 2615–2629, [arXiv:2010.01560]
Pith/arXiv arXiv 2020
-
[64]
H. K. Eriksen, J. B. Jewell, C. Dickinson, et al.,Joint Bayesian Component Separation and CMB Power Spectrum Estimation,The Astrophysical Journal676(Mar., 2008) 10–32
2008
-
[65]
J. J. Givans and M. Kamionkowski,Hints of tensions in the cosmic microwave background temperature and polarization quadrupoles,arXiv:2311.06196
-
[66]
E. Komatsu, D. N. Spergel, and B. D. Wandelt,Measuring primordial non-Gaussianity in the cosmic microwave background,Astrophys. J.634(2005) 14–19, [astro-ph/0305189]
Pith/arXiv arXiv 2005
-
[67]
A. Lewis and A. Challinor,Weak gravitational lensing of the CMB,Phys. Rept.429(2006) 1–65, [astro-ph/0601594]
Pith/arXiv arXiv 2006
-
[68]
C. Dvorkin, W. Hu, and K. M. Smith,B-mode CMB Polarization from Patchy Screening during Reionization,Phys. Rev. D79(2009) 107302, [arXiv:0902.4413]
Pith/arXiv arXiv 2009
-
[69]
D. Pˆırvu, J. Huang, and M. C. Johnson,Patchy screening of the CMB from dark photons,JCAP01 (2024) 019, [arXiv:2307.15124]
Pith/arXiv arXiv 2024
-
[70]
C. Mondino, D. P ˆ ırvu, J. Huang, and M. C. Johnson,Axion-induced patchy screening of the Cosmic Microwave Background,JCAP10(2024) 107, [arXiv:2405.08059]
Pith/arXiv arXiv 2024
-
[71]
A. Lagu¨ e, M. S. Madhavacheril, K. M. Smith, S. Ferraro, and E. Schaan,Constraints on Local Primordial Non-Gaussianity with 3D Velocity Reconstruction from the Kinetic Sunyaev-Zeldovich Effect,Phys. Rev. Lett.134(2025), no. 15 151003, [arXiv:2411.08240]
Pith/arXiv arXiv 2025
-
[72]
A. C. M. Lai, Y. Kvasiuk, and M. M¨ unchmeyer,KSZ Velocity Reconstruction with ACT and DESI-LS using a Tomographic QML Power Spectrum Estimator,arXiv:2506.21684. [73]PlanckCollaboration, Y. Akrami et al.,Planck 2018 results. IV. Diffuse component separation, Astron. Astrophys.641(2020) A4, [arXiv:1807.06208]. – 51 –
Pith/arXiv arXiv 2018
-
[74]
S. M. Leach et al.,Component separation methods for the Planck mission,Astron. Astrophys.491 (2008) 597–615, [arXiv:0805.0269]
Pith/arXiv arXiv 2008
-
[75]
R. Fern´ andez-Cobos, P. Vielva, R. B. Barreiro, and E. Mart ´ ınez-Gonz´ alez,Multiresolution internal template cleaning: an application to the Wilkinson Microwave Anisotropy Probe 7-yr polarization data, Monthly Notices of the Royal Astronomical Society420(Mar., 2012) 2162–2169, [arXiv:1106.2016]
Pith/arXiv arXiv 2012
-
[76]
S. Basak and J. Delabrouille,A needlet internal linear combination analysis of WMAP 7-year data: estimation of CMB temperature map and power spectrum,Monthly Notices of the Royal Astronomical Society419(Jan., 2012) 1163–1175, [arXiv:1106.5383]. [77]ACTCollaboration, S. Naess et al.,The Atacama Cosmology Telescope: DR6 Maps, arXiv:2503.14451. [78]ACTCollab...
Pith/arXiv arXiv 2012
-
[79]
E. F. Schlafly, A. M. Meisner, and G. M. Green,The unWISE Catalog: Two Billion Infrared Sources from Five Years of WISE Imaging,The Astrophysical Journal Supplement Series240(Feb., 2019) 30
2019
-
[80]
E. L. Wright et al.,The Wide-field Infrared Survey Explorer (WISE): Mission Description and Initial On-orbit Performance,The Astronomical Journal140(Dec., 2010) 1868–1881, [arXiv:1008.0031]
Pith/arXiv arXiv 2010
-
[81]
A. Mainzer et al.,Initial Performance of the NEOWISE Reactivation Mission,The Astrophysical Journal792(aug, 2014) 30, [arXiv:1406.6025]
Pith/arXiv arXiv 2014
-
[83]
A. Krolewski, S. Ferraro, and M. White,Cosmological constraints from unWISE and Planck CMB lensing tomography,JCAP12(2021), no. 12 028, [arXiv:2105.03421]
Pith/arXiv arXiv 2021
-
[84]
A. Krolewski, S. Ferraro, E. F. Schlafly, and M. White,unWISE tomography of Planck CMB lensing, Journal of Cosmology and Astroparticle Physics2020(may, 2020) 047–047, [arXiv:1909.07412]. [85]PlanckCollaboration, N. Aghanim et al.,Planck intermediate results. XL VIII. Disentangling Galactic dust emission and cosmic infrared background anisotropies,Astron. ...
Pith/arXiv arXiv 2020
-
[86]
M. Remazeilles, J. Delabrouille, and J.-F. Cardoso,Foreground component separation with generalized Internal Linear Combination,Monthly Notices of the Royal Astronomical Society418(Nov., 2011) 467–476, [arXiv:1103.1166]
Pith/arXiv arXiv 2011
-
[87]
B. M´ enard, R. Scranton, S. Schmidt, et al.,Clustering-based redshift estimation: method and application to data,arXiv e-prints(Mar., 2013) arXiv:1303.4722, [arXiv:1303.4722]
Pith/arXiv arXiv 2013
-
[88]
The Simons Observatory Collaboration,The Simons Observatory: science goals and forecasts,Journal of Cosmology and Astroparticle Physics2019(feb, 2019) 056–056, [arXiv:1808.07445]. [89]LiteBIRDCollaboration, E. Allys et al.,Probing Cosmic Inflation with the LiteBIRD Cosmic Microwave Background Polarization Survey,PTEP2023(2023), no. 4 042F01, [arXiv:2202.02773]
Pith/arXiv arXiv 2019
- [90]
-
[91]
J. M. Sullivan, R. de Belsunce, and M. M. Ivanov,Cosmological Concordance in an Especially Opaque Universe: A Tentative Cosmological Detection of Physical Neutrino Mass in LCDM, arXiv:2606.30903. [92]SPHERExCollaboration, O. Dor´ e et al.,Science Impacts of the SPHEREx All-Sky Optical to Near-Infrared Spectral Survey II: Report of a Community Workshop on ...
-
[93]
Collaboration, M
C.-P. Collaboration, M. Aravena, J. E. Austermann, et al.,CCAT-prime Collaboration: Science Goals and Forecasts with Prime-Cam on the Fred Young Submillimeter Telescope,The Astrophysical Journal Supplement Series264(dec, 2022) 7. – 52 –
2022
-
[94]
J. Cayuso, R. Bloch, S. C. Hotinli, M. C. Johnson, and F. McCarthy,Velocity reconstruction with the cosmic microwave background and galaxy surveys,JCAP02(2023) 051, [arXiv:2111.11526]
Pith/arXiv arXiv 2023
-
[95]
A. Lewis, A. Challinor, and A. Lasenby,Efficient computation of CMB anisotropies in closed FR W models,The Astrophysical Journal538(2000) 473–476, [arXiv:astro-ph/astro-ph/9911177]
Pith/arXiv arXiv 2000
-
[96]
C. Howlett, A. Lewis, A. Hall, and A. Challinor,CMB power spectrum parameter degeneracies in the era of precision cosmology,JCAP1204(2012) 027, [arXiv:1201.3654]. [97]LSST Dark Energy ScienceCollaboration, D. Alonso, J. Sanchez, and A. Slosar,A unified pseudo-Cℓ framework,Mon. Not. Roy. Astron. Soc.484(2019), no. 3 4127–4151, [arXiv:1809.09603]
Pith/arXiv arXiv 2012
-
[98]
C. R. Harris et al.,Array programming with NumPy,Nature585(Sept., 2020) 357–362
2020
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