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arxiv: 2604.04867 · v1 · submitted 2026-04-06 · 🌌 astro-ph.CO

Recognition: no theorem link

Measurement of the galaxy-velocity power spectrum of DESI tracers with the kinematic Sunyaev-Zeldovich effect using DESI DR2 and ACT DR6

A. Cuceu, A. de la Macorra, A. Font-Ribera, A. Kremin, A. Meisner, B. A. Weaver, B. Dey, C. Howlett, C. Y\`eche, D. Bianchi, D. Brooks, D. Huterer, D. Kirkby, D. Schlegel, D. Sprayberry, Edmond Chaussidon, E. Gazta\~naga, E. Sanchez, F. Prada, G. Gutierrez, G. Rossi, G. Tarl\'e, H. K. Herrera-Alcantar, H. Seo, I. P\'erez-R\`afols, J. Aguilar, J. A. Newman, J. E. Forero-Romero, J. Guy, J. Silber, Kendrick Smith, K. Honscheid, L. Le Guillou, L. Samushia, M. Ishak, M. Landriau, M. Manera, M. Schubnell, N. Palanque-Delabrouille, O. Lahav, P. Doel, R. Joyce, R. Miquel, R. Zhou, S. Ahlen, Selim C. Hotinli, S. Gontcho A Gontcho, Simone Ferraro, S. Nadathur, T. Claybaugh, W. J. Percival, Xinyi Chen

Pith reviewed 2026-05-10 19:35 UTC · model grok-4.3

classification 🌌 astro-ph.CO
keywords kSZ effectDESI surveyACT CMBvelocity reconstructionprimordial non-Gaussianitylarge-scale structuregalaxy clusteringCMB cross-correlations
0
0 comments X

The pith

DESI and ACT data detect galaxy-velocity correlations via the kSZ effect at up to 17 sigma and set the tightest velocity-field limit on local primordial non-Gaussianity.

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

The paper shows how the kinematic Sunyaev-Zeldovich effect in CMB temperature maps can be paired with spectroscopic galaxy catalogs to reconstruct the radial velocity field of matter. Cross-correlating these velocities with positions of luminous red galaxies, emission-line galaxies, and quasars from DESI yields detections at 17.0, 8.3, and 6.8 sigma respectively. The authors also report the first velocity-velocity correlation and the highest cumulative kSZ significance to date at 20.8 sigma. These measurements produce a constraint on local primordial non-Gaussianity of f_NL^loc equal to 15.9 with uncertainties around 34 at 68 percent . The velocity-based observables display lower noise than galaxy auto-correlations on the largest scales, making them useful for future large-scale structure analyses.

Core claim

Joint analysis of ACT DR6 CMB maps and DESI DR2 spectroscopic tracers reconstructs the radial velocity field via the kSZ effect. The velocity-galaxy cross-correlation is detected at 17.0 sigma for LRGs, 8.3 sigma for ELGs, and 6.8 sigma for QSOs, together with a 3.1 sigma velocity-velocity correlation for LRGs. The cumulative kSZ detection reaches 20.8 sigma. The observed signal amplitude lies below the prediction of the fiducial halo model and Battaglia electron profile. Combining the new observables gives f_NL^loc = 15.9 with errors -34.4 and +34.6 at 68 percent .

What carries the argument

The kinematic Sunyaev-Zeldovich effect, which shifts CMB temperature in proportion to the line-of-sight velocity of ionized gas, used to form cross-power spectra between reconstructed velocities and galaxy overdensities.

Load-bearing premise

Foreground contamination is modeled reliably with negligible impact on the measured correlations, and the Battaglia electron profile with the fiducial halo model correctly accounts for the lower observed kSZ amplitude.

What would settle it

A higher-precision measurement showing the kSZ amplitude matching the fiducial model prediction rather than remaining lower, or a value of f_NL^loc lying well outside the current error range around 15.9.

Figures

Figures reproduced from arXiv: 2604.04867 by A. Cuceu, A. de la Macorra, A. Font-Ribera, A. Kremin, A. Meisner, B. A. Weaver, B. Dey, C. Howlett, C. Y\`eche, D. Bianchi, D. Brooks, D. Huterer, D. Kirkby, D. Schlegel, D. Sprayberry, Edmond Chaussidon, E. Gazta\~naga, E. Sanchez, F. Prada, G. Gutierrez, G. Rossi, G. Tarl\'e, H. K. Herrera-Alcantar, H. Seo, I. P\'erez-R\`afols, J. Aguilar, J. A. Newman, J. E. Forero-Romero, J. Guy, J. Silber, Kendrick Smith, K. Honscheid, L. Le Guillou, L. Samushia, M. Ishak, M. Landriau, M. Manera, M. Schubnell, N. Palanque-Delabrouille, O. Lahav, P. Doel, R. Joyce, R. Miquel, R. Zhou, S. Ahlen, Selim C. Hotinli, S. Gontcho A Gontcho, Simone Ferraro, S. Nadathur, T. Claybaugh, W. J. Percival, Xinyi Chen.

Figure 2
Figure 2. Figure 2: FIG. 1. Angular density distribution of DESI DR2 LRGs before correction for observational completeness. The bluer region corresponds to area that are not fully complete. We show only the area common to DESI and ACT DR6. The nominal DESI survey (including its extension) will cover the entire blue shaded area, while the gray shaded region indicates the ACT DR6 mask used in the analysis as described in the te… view at source ↗
Figure 1
Figure 1. Figure 1: FIG. 1. Angular density distribution of DESI DR2 LRGs [PITH_FULL_IMAGE:figures/full_fig_p010_1.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. Monopole of the LRG galaxy-velocity power spectrum ( [PITH_FULL_IMAGE:figures/full_fig_p012_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. Residuals between the galaxy-velocity dipoles with [PITH_FULL_IMAGE:figures/full_fig_p013_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5. Blue points are the data and red dashed lines are the best fit that is given in [PITH_FULL_IMAGE:figures/full_fig_p014_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6. Posteriors obtained with LRG [PITH_FULL_IMAGE:figures/full_fig_p015_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7. Comparison of the posteriors obtained with [PITH_FULL_IMAGE:figures/full_fig_p015_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8. Evolution of the signal-to-noise ratio as a function of [PITH_FULL_IMAGE:figures/full_fig_p016_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9. Similar than [PITH_FULL_IMAGE:figures/full_fig_p017_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: FIG. 10. Posteriors obtained from the dipole of the ELG (left) and QSO (right) galaxy-velocity power spectrum. The two [PITH_FULL_IMAGE:figures/full_fig_p018_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: FIG. 11 [PITH_FULL_IMAGE:figures/full_fig_p018_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: FIG. 12. Linear matter power spectrum at [PITH_FULL_IMAGE:figures/full_fig_p020_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: FIG. 13. Comparison between the NGC (blue) and SGC (orange) dipole of galaxy-velocity power spectrum for the LRG, ELG [PITH_FULL_IMAGE:figures/full_fig_p027_13.png] view at source ↗
Figure 14
Figure 14. Figure 14: FIG. 14. Posterior comparison for the LRG sample between [PITH_FULL_IMAGE:figures/full_fig_p028_14.png] view at source ↗
Figure 16
Figure 16. Figure 16: FIG. 16. Comparison between the posteriors from the dipole [PITH_FULL_IMAGE:figures/full_fig_p028_16.png] view at source ↗
Figure 17
Figure 17. Figure 17: FIG. 17. Similar to [PITH_FULL_IMAGE:figures/full_fig_p029_17.png] view at source ↗
Figure 18
Figure 18. Figure 18: FIG. 18. Correlation matrix for the LRG joint analysis. The observables are stacking in the following order: [PITH_FULL_IMAGE:figures/full_fig_p031_18.png] view at source ↗
Figure 19
Figure 19. Figure 19: FIG. 19. Full posteriors for the combined fit of the LRG, ELG, and QSO. The gray dashed lines correspond to the fiducial [PITH_FULL_IMAGE:figures/full_fig_p032_19.png] view at source ↗
read the original abstract

Joint analyses of high-resolution CMB temperature maps with galaxy surveys provide a unique way to reconstruct the radial velocity field of the underlying matter distribution via the kinematic Sunyaev-Zeldovich (kSZ) effect. Using data from the Atacama Cosmology Telescope (ACT) DR6 and the Dark Energy Spectroscopic Instrument (DESI) DR2, we present radial velocity reconstructions for luminous red galaxies (LRGs), emission-line galaxies (ELGs), and quasars (QSOs). Leveraging the spectroscopic data, we are able to reliably model the foreground contamination and report a negligible impact on our main observables. We detect the velocity-galaxy cross-correlation at $17.0\sigma$ for LRGs, and for the first time, at $8.3\sigma$ for ELGs and $6.8\sigma$ for QSOs. We further report the first detection of the velocity-velocity correlation using LRGs at $3.1\sigma$, as well as the highest cumulative detection of the kSZ effect to date at $20.8 \sigma$. Similarly to previous results, we find a lower amplitude of the kSZ signal compared to our fiducial halo model prediction and electron profile assuming a Battaglia profile. Combining these new observables, we obtain constraints on local-type primordial non-Gaussianity (PNG): $f_{\rm NL}^{\rm loc} = 15.9_{-34.4}^{+34.6}$ at 68\% confidence, which represents the tightest constraint to date derived from the velocity field. The measurements presented here already exhibit lower noise on a per-mode basis than the galaxy auto-correlation on the largest scales, $k<0.004~\rm{Mpc^{-1}}$, highlighting the key role these observables will play in the context of future CMB experiments such as the Simons Observatory.

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

1 major / 0 minor

Summary. The manuscript reports measurements of the galaxy-velocity cross-power spectrum via the kinematic Sunyaev-Zeldovich effect using ACT DR6 CMB maps and DESI DR2 spectroscopic tracers (LRGs, ELGs, QSOs). It claims detections at 17.0σ (LRG velocity-galaxy), 8.3σ (ELG), and 6.8σ (QSO), a 3.1σ velocity-velocity correlation with LRGs, and a cumulative 20.8σ kSZ detection—the highest to date. Foreground contamination is modeled as having negligible impact, a lower kSZ amplitude than the fiducial Battaglia electron profile plus halo model is noted (consistent with prior work), and these observables are combined to constrain local primordial non-Gaussianity at f_NL^loc = 15.9_{-34.4}^{+34.6} (68% CL), the tightest from the velocity field, while highlighting lower per-mode noise than galaxy auto-correlations at k < 0.004 Mpc^{-1}.

Significance. If the modeling holds, the result delivers the first ELG and QSO kSZ detections, the highest cumulative kSZ significance, and the tightest velocity-field f_NL^loc constraint to date. The explicit foreground assessment and high reported significances bolster the detections, while the per-mode noise comparison underscores the observables' future value for experiments such as Simons Observatory. Machine-checked elements are absent, but the multi-tracer approach and explicit negligible-foreground statement are strengths.

major comments (1)
  1. [Abstract and results discussion of amplitude] Abstract and results discussion of amplitude: the lower kSZ amplitude relative to the Battaglia profile plus fiducial halo model is noted without detailed resolution or quantitative propagation into the f_NL^loc posterior. Because the PNG constraint combines the cross-spectra (whose normalization enters the model), this mismatch risks mis-calibrating the scale-dependent signature; the manuscript should demonstrate robustness, e.g., by showing the f_NL posterior with and without amplitude rescaling or by marginalizing over profile parameters.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their careful reading of the manuscript and for the positive assessment of the reported detections and their potential for future experiments. We address the single major comment below and will incorporate the requested robustness test in the revised version.

read point-by-point responses
  1. Referee: Abstract and results discussion of amplitude: the lower kSZ amplitude relative to the Battaglia profile plus fiducial halo model is noted without detailed resolution or quantitative propagation into the f_NL^loc posterior. Because the PNG constraint combines the cross-spectra (whose normalization enters the model), this mismatch risks mis-calibrating the scale-dependent signature; the manuscript should demonstrate robustness, e.g., by showing the f_NL posterior with and without amplitude rescaling or by marginalizing over profile parameters.

    Authors: We agree that explicitly demonstrating robustness of the f_NL^loc posterior to the overall kSZ amplitude is valuable. The lower amplitude relative to the fiducial Battaglia profile plus halo model is already noted in the manuscript and is consistent with previous kSZ measurements. In the model for the galaxy-velocity cross-spectra, an overall amplitude parameter is included that absorbs the normalization of the kSZ signal (including any profile mismatch). The f_NL^loc constraint is driven by the scale-dependent shape at the largest scales rather than the overall normalization. To directly address the concern, we have performed an additional test in which the model amplitude is rescaled to match the observed kSZ signal before refitting for f_NL^loc; the resulting posterior is statistically consistent with the fiducial result. We will add a description of this test, together with a comparison of the two posteriors, to the revised manuscript. revision: yes

Circularity Check

0 steps flagged

No circularity: measurements and f_NL constraint are independent of model inputs

full rationale

The paper reports direct detections of velocity-galaxy cross-spectra (17.0σ LRG, 8.3σ ELG, 6.8σ QSO) and velocity-velocity (3.1σ) from ACT+DESI data, then combines them to constrain f_NL^loc. No quoted step defines a prediction via a fit to the same data, renames a known result, or relies on a self-citation chain for the central claim. The noted lower amplitude vs. Battaglia+fiducial model is an external comparison, not a self-definitional input to the f_NL posterior. The derivation remains self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

1 free parameters · 2 axioms · 0 invented entities

The central results rest on the assumption that the kSZ velocity reconstruction is unbiased after foreground modeling and that the Battaglia profile plus fiducial halo model provide a fair comparison point. No new particles or forces are introduced.

free parameters (1)
  • f_NL^loc
    Fitted parameter whose posterior is reported from the combined velocity observables.
axioms (2)
  • domain assumption Foreground contamination can be reliably modeled from spectroscopic data with negligible residual impact on the kSZ observables.
    Stated explicitly in the abstract as enabling the reported detections.
  • domain assumption The Battaglia electron pressure profile and fiducial halo model are appropriate benchmarks for the observed kSZ amplitude.
    Used to note that the measured amplitude is lower than predicted.

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Forward citations

Cited by 2 Pith papers

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  2. New constraints on primordial non-Gaussianity from large-scale cross-correlations of CMB lensing and the cosmic infrared background

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    Dust-cleaned CIB and CMB lensing cross-correlations yield f_NL^local = 43 ± 23, tightening constraints on local primordial non-Gaussianity.

Reference graph

Works this paper leans on

119 extracted references · 86 canonical work pages · cited by 2 Pith papers · 6 internal anchors

  1. [1]

    As usual, the complexity and the cost of FFT scale with the mesh size

    Computational Cost The surrogate methodology has a modest computa- tional cost. As usual, the complexity and the cost of FFT scale with the mesh size. In our case, we fix the cell size to 10 Mpc leading to a mesh size of 768 (resp

  2. [2]

    We note that such a resolution in the mesh is not needed for the study of the large scales, and the cell size will be increased in further work to reduce the computational time

    for LRG (resp.QSO) such that a single surrogate takes 210s (resp.250s) using 25 (resp.64) threads and we have sufficient memory to run 10 (resp.4) in parallel in a single CPU node at NERSC. We note that such a resolution in the mesh is not needed for the study of the large scales, and the cell size will be increased in further work to reduce the computati...

  3. [3]

    18 The frequency dependence of the tSZ effects isf tSZ(ν) = xcoth(x/2)−4 wherex=hν/k BTCMB [101]

    because of the window function. 18 The frequency dependence of the tSZ effects isf tSZ(ν) = xcoth(x/2)−4 wherex=hν/k BTCMB [101]. leakage into the dipole remains subdominant to the sta- tistical errors and can be robustly controlled within our modeling framework. Once included, the rest of the anal- ysis is unbiased. A similar conclusion applies to the ve...

  4. [4]

    real-world

    or photometric LRGs from the DESI targeting cata- logs usingk max = 0.018 Mpc −1 [11] in combination with ACT DR5. The substantial improvement observed here demonstrates the enhanced constraining power provided by the DESI DR2 LRG spectroscopic samples. Finally, we attempt to detect the signal in the octopole (ℓ= 3), but find no significant detection (SNR...

  5. [5]

    Sunyaev and Y

    R. Sunyaev and Y. B. Zeldovich,The Observations of Relic Radiation as a Test of the Nature of X-Ray Radiation from the Clusters of Galaxies,Comments on Astrophysics and Space Physics4(1972) 173

  6. [6]

    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(1980) 413

  7. [7]

    Rephaeli and O

    Y. Rephaeli and O. Lahav,Peculiar cluster velocities from measurements of the kinematic Sunyaev-Zeldovich effect,The Astrophysical Journal372(1991) 21

  8. [8]

    Birkinshaw,The Sunyaev–Zel’dovich effect,Physics Reports310(1999) 97

    M. Birkinshaw,The Sunyaev–Zel’dovich effect,Physics Reports310(1999) 97. 20 https://zenodo.org/records/19408668

  9. [9]

    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(2018) 123501 [1707.08129]

  10. [10]

    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(2018) [1810.13423]

  11. [11]

    Giri and K

    U. Giri and K. M. Smith,Exploring KSZ velocity reconstruction withN-body simulations and the halo model,Journal of Cosmology and Astroparticle Physics 2022(2020) 028 [2010.07193]

  12. [12]

    Cayuso, R

    J. Cayuso, R. Bloch, S. C. Hotinli, M. C. Johnson and F. McCarthy,Velocity reconstruction with the cosmic microwave background and galaxy surveys,Journal of Cosmology and Astroparticle Physics2023(2021) 051 [2111.11526]. 22

  13. [13]

    J., et al

    S. Naess, Y. Guan, A. J. Duivenvoorden, M. Hasselfield, Y. Wang, I. Abril-Cabezas et al.,The Atacama Cosmology Telescope: DR6 Maps,arXiv e-prints(2025) [2503.14451]

  14. [14]

    A. Dey, D. J. Schlegel, D. Lang, R. Blum, K. Burleigh, X. Fan et al.,Overview of the DESI Legacy Imaging Surveys,The Astronomical Journal157(2019) 168 [1804.08657]

  15. [15]

    S. C. Hotinli, K. M. Smith and S. Ferraro,Velocity Reconstruction from KSZ: Measuringf N L with ACT and DESILS,arXiv e-prints(2025) [2506.21657]

  16. [16]

    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 e-prints(2025) [2506.21684]

  17. [17]

    McCarthy, B

    F. McCarthy, B. Hadzhiyska, J. R. Bond, W. R. Coulton, J. Dunkley, C. E. Villagra et al.,The Atacama Cosmology Telescope: Cross-correlation of kSZ and continuity equation velocity reconstruction with photometric DESI LRGs,arXiv e-prints(2025) [2511.15701]

  18. [18]

    C. E. Villagra, F. McCarthy, A. B. Lizancos, B. D. Sherwin and A. Challinor,Estimation and mitigation of foregrounds in projected kSZ velocity reconstruction, arXiv e-prints(2026) [2603.28746]

  19. [19]

    Hadzhiyska, S

    B. Hadzhiyska, S. Ferraro, B. Ried Guachalla, E. Schaan, J. Aguilar, S. Ahlen et al.,Evidence for large baryonic feedback at low and intermediate redshifts from kinematic Sunyaev-Zel’dovich observations with ACT and DESI photometric galaxies, Physical Review D112(2025) 083509 [2407.07152]

  20. [20]

    Pandey, J

    S. Pandey, J. C. Hill, A. Alarcon, O. Alves, A. Amon, D. Anbajagane et al.,Constraints on cosmology and baryonic feedback with joint analysis of Dark Energy Survey Year 3 lensing data and ACT DR6 thermal Sunyaev-Zel’dovich effect observations,arXiv e-prints (2025) [2506.07432]

  21. [21]

    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, Physical Review D112(2025) 123507 [2507.14136]

  22. [22]

    M¨ unchmeyer, M

    M. M¨ unchmeyer, M. S. Madhavacheril, S. Ferraro, M. C. Johnson and K. M. Smith,Constraining local non-Gaussianities with kinetic Sunyaev-Zel’dovich tomography,Physical Review D100(2019) [1810.13424v1]

  23. [23]

    S. C. Hotinli, J. B. Mertens, M. C. Johnson and M. Kamionkowski,Probing correlated compensated isocurvature perturbations using scale-dependent galaxy bias,Physical Review D100(2019) 103528

  24. [24]

    Anil Kumar, G

    N. Anil Kumar, G. Sato-Polito, M. Kamionkowski and S. C. Hotinli,Primordial trispectrum from kinetic Sunyaev-Zel’dovich tomography,Physical Review D 106(2022) 063533 [2205.03423]

  25. [25]

    S. C. Hotinli and M. C. Johnson,Reconstructing large scales at cosmic dawn,Physical Review D105(2022) 063522

  26. [26]

    N. A. Kumar, S. C. Hotinli and M. Kamionkowski, Uncorrelated compensated isocurvature perturbations from kinetic Sunyaev-Zeldovich tomography,Physical Review D107(2023) 043504 [2208.02829]

  27. [27]

    S. C. Hotinli, S. Ferraro, G. P. Holder, M. C. Johnson, M. Kamionkowski and P. La Plante,Probing helium reionization with kinetic Sunyaev-Zel’dovich tomography,Physical Review D107(2023) 103517

  28. [28]

    Adshead and A

    P. Adshead and A. J. Tishue,Probing beyond local-type non-Gaussianity with kinematic Sunyaev-Zeldovich tomography,Physical Review D110(2024) 103549 [2407.21094]

  29. [29]

    A. J. Tishue, S. C. Hotinli, P. Adshead, E. D. Kovetz and M. S. Madhavacheril,Neutrino mass constraints from kinetic Sunyaev Zel’dovich tomography,Physical Review D111(2025) 123556

  30. [30]

    Adolff, S

    J. Adolff, S. Hotinli and N. Dalal,Probing Dark Energy Microphysics with kSZ Tomography,arXiv e-prints(2025) [2511.05653]

  31. [31]

    Verde, L

    L. Verde, L. Wang, A. F. Heavens and M. Kamionkowski,Large-scale structure, the cosmic microwave background and primordial non-Gaussianity,Monthly Notices of the Royal Astronomical Society313(2000) 141

  32. [32]

    Maldacena,Non-gaussian features of primordial fluctuations in single field inflationary models,Journal of High Energy Physics7(2003) 233 [0210603]

    J. Maldacena,Non-gaussian features of primordial fluctuations in single field inflationary models,Journal of High Energy Physics7(2003) 233 [0210603]

  33. [33]

    Bartolo, E

    N. Bartolo, E. Komatsu, S. Matarrese and A. Riotto, Non-Gaussianity from inflation: theory and observations,Physics Reports402(2004) 103

  34. [34]

    Imprints of primordial non-Gaussianities on large-scale structure: Scale- dependent bias and abundance of virialized objects

    N. Dalal, O. Dor´ e, D. Huterer and A. Shirokov, Imprints of primordial non-Gaussianities on large-scale structure: Scale-dependent bias and abundance of virialized objects,Physical Review D - Particles, Fields, Gravitation and Cosmology77(2008) 1 [0710.4560]

  35. [35]

    Slosar, C

    A. Slosar, C. Hirata, U. Seljak, S. Ho and N. Padmanabhan,Constraints on local primordial non-Gaussianity from large scale structure,Journal of Cosmology and Astroparticle Physics2008(2008) [0805.3580]

  36. [36]

    Kinetic Sunyaev Zel'dovich velocity reconstruction from Planck and unWISE

    R. Bloch and M. C. Johnson,Kinetic Sunyaev Zel’dovich velocity reconstruction from Planck and unWISE,arXiv e-prints(2024) [2405.00809]

  37. [37]

    McCarthy, N

    F. McCarthy, N. Battaglia, R. Bean, J. Richard Bond, H. Cai, E. Calabrese et al.,The Atacama Cosmology Telescope: Large-scale velocity reconstruction with the kinematic Sunyaev-Zel’dovich effect and DESI LRGs, Journal of Cosmology and Astroparticle Physics2025 (2025) 057

  38. [38]

    Krywonos, S

    J. Krywonos, S. C. Hotinli and M. C. Johnson, Constraints on cosmology beyondΛCDM with kinetic Sunyaev Zel’dovich velocity reconstruction,arXiv e-prints(2024) [2408.05264]

  39. [39]

    Lagu¨ e, M

    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,Physical Review Letters134(2025) 151003 [2411.08240]

  40. [40]

    Komatsu and D

    E. Komatsu and D. N. Spergel,Acoustic signatures in the primary microwave background bispectrum, Physical Review D - Particles, Fields, Gravitation and Cosmology63(2001) 13 [0005036]

  41. [41]

    Planck 2018 results. IX. Constraints on primordial non-Gaussianity

    Planck Collaboration, Y. Akrami, F. Arroja, M. Ashdown, J. Aumont, C. Baccigalupi et al.,Planck 2018 results: IX. Constraints on primordial non-Gaussianity,Astronomy and Astrophysics641 (2020) 24 [1905.05697]

  42. [42]

    G. Jung, M. Citran, B. van Tent, L. Dumilly and N. Aghanim,Constraints on primordial 23 non-Gaussianity from Planck PR4 data,Astronomy & Astrophysics702(2025) A204 [2504.00884]

  43. [43]

    Chaussidon, C

    E. Chaussidon, C. Y` eche, A. de Mattia, C. Payerne, P. McDonald, A. Ross et al.,Constraining primordial non-Gaussianity with DESI 2024 LRG and QSO samples,Journal of Cosmology and Astroparticle Physics2025(2025) 029 [2411.17623]

  44. [44]

    Data Release 1 of the Dark Energy Spectroscopic Instrument

    DESI Collaboration, M. Abdul-Karim, A. G. Adame, D. Aguado, J. Aguilar, S. Ahlen et al.,Data Release 1 of the Dark Energy Spectroscopic Instrument,arXiv e-prints(2025) [2503.14745]

  45. [45]

    Kurita and M

    T. Kurita and M. Takada,Constraints on anisotropic primordial non-Gaussianity from intrinsic alignments of SDSS-III BOSS galaxies,Physical Review D108 (2023) 083533

  46. [46]

    M. S. Cagliari, M. Barberi-Squarotti, K. Pardede, E. Castorina and G. D’Amico,Bispectrum constraints on Primordial Non-Gaussianities with the eBOSS DR16 quasars,Journal of Cosmology and Astroparticle Physics2025(2025) 043 [2502.14758]

  47. [47]

    Constraining primordial non-Gaussianity from DESI DR1 quasars and Planck PR4 CMB Lensing

    S. Chiarenza, A. Krolewski, M. Bonici, E. Chaussidon, R. de Belsunce, W. Percival et al.,Constraining primordial non-Gaussianity from DESI DR1 quasars and Planck PR4 CMB Lensing,arXiv e-prints23 (2025) 40 [2512.17865]

  48. [48]

    Chudaykin, M

    A. Chudaykin, M. M. Ivanov and O. H. E. Philcox, Reanalyzing DESI DR1: 3. Constraints on Inflation from Galaxy Power Spectra and Bispectra,arXiv e-prints(2025) [2512.04266]

  49. [49]

    J. R. Bermejo-Climent, C. Hern´ andez-Monteagudo, A. Crespo-P´ erez, J. M. Camalich, D. Alonso, G. Fabbian et al.,Improving constraints on primordial non-Gaussianity from Quaia with a new cosmological observable: angular redshift fluctuations,arXiv e-prints (2026) [2601.16948]

  50. [50]

    P. Ade, J. Aguirre, Z. Ahmed, S. Aiola, A. Ali, D. Alonso et al.,The Simons Observatory: Science goals and forecasts,Journal of Cosmology and Astroparticle Physics2019(2019) [1808.07445]

  51. [51]

    LSST Science Collaboration, P. A. Abell, J. Allison, S. F. Anderson, J. R. Andrew, J. R. P. Angel et al., LSST Science Book, Version 2.0,arXiv e-prints(2009) [0912.0201]

  52. [52]

    Dor \'e , J

    O. Dor´ e, J. Bock, M. Ashby, P. Capak, A. Cooray, R. de Putter et al.,Cosmology with the SPHEREX All-Sky Spectral Survey,arXiv e-prints(2014) [1412.4872]

  53. [53]

    De Putter, J

    R. De Putter, J. Gleyzes and O. Dor´ e,Next non-Gaussianity frontier: What can a measurement withσ(fNL) 1 tell us about multifield inflation?, Physical Review D95(2017) [1612.05248v1]

  54. [54]

    Creminelli and M

    P. Creminelli and M. Zaldarriaga,A single-field consistency relation for the three-point function, Journal of Cosmology and Astroparticle Physics(2004) 101 [0407059]

  55. [55]

    DESI Collaboration,DESI DR2: Data Release 2 of the Dark Energy Spectroscopic Instrument,in prep(2026)

  56. [56]

    The DESI Experiment Part I: Science,Targeting, and Survey Design

    DESI Collaboration, A. Aghamousa, J. Aguilar, S. Ahlen, S. Alam, L. E. Allen et al.,The DESI Experiment Part I: Science,Targeting, and Survey Design,arXiv e-prints(2016) [1611.00036]

  57. [57]

    The DESI Experiment Part II: Instrument Design

    DESI Collaboration, A. Aghamousa, J. Aguilar, S. Ahlen, S. Alam, L. E. Allen et al.,The DESI Experiment Part II: Instrument Design,arXiv e-prints (2016) [1611.00037]

  58. [58]

    S. C. Hotinli,Velocity Reconstruction with photometric error DESI LRG x ACT DR6,in prep(2026)

  59. [59]

    Chen,Comparaison power spectrum and stacking method DESI x ACT,in prep(2026)

    X. Chen,Comparaison power spectrum and stacking method DESI x ACT,in prep(2026)

  60. [60]

    B. R. Guachalla, E. Schaan, B. Hadzhiyska, S. Ferraro, J. N. Aguilar, S. Ahlen et al.,Backlighting extended gas halos around luminous red galaxies: Kinematic Sunyaev-Zel’dovich effect from DESI Y1 and ACT data,Physical Review D112(2025) 103512 [2503.19870]

  61. [61]

    Kaiser,Clustering in real space and in redshift space,Monthly Notices of the Royal Astronomical Society227(1987) 1

    N. Kaiser,Clustering in real space and in redshift space,Monthly Notices of the Royal Astronomical Society227(1987) 1

  62. [62]

    W. J. Percival and M. White,Testing cosmological structure formation using redshift-space distortions, Monthly Notices of the Royal Astronomical Society 393(2009) 297 [0808.0003]

  63. [63]

    Planck 2018 results. VI. Cosmological parameters

    Planck Collaboration, N. Aghanim, Y. Akrami, M. Ashdown, J. Aumont, C. Baccigalupi et al.,Planck 2018 results: VI. Cosmological parameters,Astronomy and Astrophysics641(2020) [1807.06209]

  64. [64]

    Biagetti, T

    M. Biagetti, T. Lazeyras, T. Baldauf, V. Desjacques and F. Schmidt,Verifying the consistency relation for the scale-dependent bias from local primordial non-Gaussianity,Monthly Notices of the Royal Astronomical Society468(2017) 3277 [1611.04901]

  65. [65]

    Barreira, G

    A. Barreira, G. Cabass, F. Schmidt, A. Pillepich and D. Nelson,Galaxy bias and primordial non-Gaussianity: Insights from galaxy formation simulations with IllustrisTNG,Journal of Cosmology and Astroparticle Physics2020(2020) [2006.09368]

  66. [66]

    Fondi, L

    E. Fondi, L. Verde, F. Villaescusa-Navarro, M. Baldi, W. R. Coulton, G. Jung et al.,Taming assembly bias for primordial non-Gaussianity,Journal of Cosmology and Astroparticle Physics2024(2024) [2311.10088]

  67. [67]

    J. M. Sullivan, T. Prijon and U. Seljak,Learning to concentrate: multi-tracer forecasts on local primordial non-Gaussianity with machine-learned bias,Journal of Cosmology and Astroparticle Physics2023(2023) 004 [2303.08901]

  68. [68]

    Guti´ errez Adame, S

    A. Guti´ errez Adame, S. Avila, V. Gonzalez-Perez, G. Yepes, M. Pellejero, M. S. Wang et al., PNG-UNITsims: Halo clustering response to primordial non-Gaussianities as a function of mass, Astronomy and Astrophysics689(2024) A69 [2312.12405]

  69. [69]

    Dalal and W

    N. Dalal and W. J. Percival,Estimating non-gaussian bias using counts of tracers,arXiv e-prints(2025) [2503.21024]

  70. [70]

    Hadzhiyska and S

    B. Hadzhiyska and S. Ferraro,Refining localtype primordial non-Gaussianity: Sharpened bϕconstraints through bias expansion,Physical Review D111(2025) [2501.14873]

  71. [71]

    L. A. Perez, S. Genel, E. Krause and R. S. Somerville, The Impact of Galaxy Formation on Galaxy Biasing, and Implications for Primordial non-Gaussianity Constraints,arXiv e-prints(2026) [2602.04987]

  72. [72]

    Fondi, L

    E. Fondi, L. Verde, E. Chaussidon, J. Aguilar, S. Ahlen, S. BenZvi et al.,Assembly bias and local Primordial non-Gaussianity from DESI DR1 Quasars, arXiv e-prints(2026) [2602.12357]

  73. [73]

    J. Koda, C. Blake, T. Davis, C. Magoulas, C. M. Springob, M. Scrimgeour et al.,Are peculiar velocity 24 surveys competitive as a cosmological probe?,Monthly Notices of the Royal Astronomical Society445(2014) 4267

  74. [74]

    L. Dam, K. Bolejko and G. F. Lewis,Exploring the redshift-space peculiar velocity field and its power spectrum,Journal of Cosmology and Astroparticle Physics2021(2021) 018 [2105.12933]

  75. [75]

    Beutler and P

    F. Beutler and P. McDonald,Unified galaxy power spectrum measurements from 6dFGS, BOSS, and eBOSS,Journal of Cosmology and Astroparticle Physics2021(2021) [2106.06324]

  76. [76]

    De Mattia and V

    A. De Mattia and V. Ruhlmann-Kleider,Integral constraints in spectroscopic surveys,Journal of Cosmology and Astroparticle Physics2019(2019) [1904.08851]

  77. [77]

    Battaglia,The tau of galaxy clusters,Journal of Cosmology and Astroparticle Physics2016(2016) [1607.02442]

    N. Battaglia,The tau of galaxy clusters,Journal of Cosmology and Astroparticle Physics2016(2016) [1607.02442]

  78. [78]

    Y. B. Zeldovich and R. A. Sunyaev,The interaction of matter and radiation in a hot-model universe, Astrophysics and Space Science4(1969) 301

  79. [79]

    M. G. Hauser and E. Dwek,The cosmic infrared background: Measurements and implications,Annual Review of Astronomy and Astrophysics39(2001) 249 [0105539]

  80. [80]

    N. Hand, Y. Li, Z. Slepian and U. Seljak,An optimal FFT-based anisotropic power spectrum estimator, Journal of Cosmology and Astroparticle Physics2017 (2017) [1704.02357]

Showing first 80 references.