pith. sign in

arxiv: 2606.25583 · v1 · pith:D7AUEWODnew · submitted 2026-06-24 · 🌌 astro-ph.CO

Weak Lensing with SKAO: Cosmic Shear Cosmology

Ian Harrison , Roberto Ingrao , Stefano Camera , Catherine Cress , Mamta Pandey-Pommier , Ziad Sakr , Cora Uhlemann This is my paper

Pith reviewed 2026-06-25 20:42 UTC · model grok-4.3

classification 🌌 astro-ph.CO
keywords weak lensingcosmic shearSKAOS8 parameterradio galaxiescosmological constraintsintrinsic alignmentscross-correlation
0
0 comments X

The pith

SKAO radio surveys can measure the S8 structure formation parameter to 5% precision alone and 3% when combined with optical surveys.

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

The paper forecasts how weak gravitational lensing surveys with the SKAO Mid telescope can constrain cosmological parameters using shapes of high-redshift star-forming galaxies. It reviews radio cosmic shear progress and presents predictions for the AA4 configuration in Band 2, both standalone and cross-correlated with LSST or Euclid. Under the assumption of high-fidelity shape reconstruction, SKAO reaches 5% precision on S8 by itself and tightens to 3% in joint analyses. Radio data supplies polarization and kinematic measurements that separate lensing signals from intrinsic galaxy alignments and can multiply statistical power by factors of 5 to 10. These capabilities offer a robustness check on optical weak lensing results through their distinct instrumental and astrophysical systematics.

Core claim

Surveys with the AA4 configuration of the SKAO will measure the growth of structure on large scales through the weak gravitational lensing effect on the shapes of resolved high-redshift star-forming galaxies in Band 2, delivering 5% constraints on the S8 parameter alone and 3% in full combination with either LSST or Euclid, while radio polarization and kinematics enable cleaner separation of lensing from intrinsic shapes.

What carries the argument

Cosmic shear measured from weak gravitational lensing distortions to the shapes of radio star-forming galaxies, with polarization and kinematics used to isolate the lensing signal.

If this is right

  • SKAO measurements supply an independent test of optical weak lensing results because they respond differently to instrumental and astrophysical systematics.
  • Polarization and kinematic data allow separation of lensing from intrinsic alignments, increasing statistical power by factors of approximately 5 to 10.
  • Joint analyses with LSST or Euclid tighten S8 constraints to 3% while cross-checking robustness.
  • Radio surveys add unique information on galaxy samples that can refine models of star-forming populations at high redshift.

Where Pith is reading between the lines

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

  • Successful radio shape measurements could extend weak lensing constraints to redshift ranges where optical surveys lose sensitivity.
  • The distinct radio systematics might help isolate whether current S8 tensions arise from astrophysical effects common to optical data.
  • Polarization-based intrinsic alignment removal could become a standard technique for reducing one of the dominant uncertainties in future lensing surveys.

Load-bearing premise

High-fidelity reconstruction of galaxy shapes from the radio observations is possible.

What would settle it

An end-to-end simulation or early SKAO data analysis showing that shape measurement errors exceed the level needed to reach the forecasted 5% precision on S8 would falsify the central claim.

Figures

Figures reproduced from arXiv: 2606.25583 by Catherine Cress, Cora Uhlemann, Ian Harrison, Mamta Pandey-Pommier, Roberto Ingrao, Stefano Camera, Ziad Sakr.

Figure 1
Figure 1. Figure 1: Sky number density of resolved galaxies in an SKA-Mid continuum survey, as a function of integration depth. In order to detect the cosmic shear signal a density of 1 gal/arcmin−2 is required. Though this is easily achieved with AA4 it is unachievable with AA* no matter the noise level reached. Moving the fixed number of AA* dishes to create longer 75 km baselines recovers the ability to achieve the thresho… view at source ↗
Figure 2
Figure 2. Figure 2: The constraining power on 𝑆8 parameters from the cosmic shear surveys described in the text. Dashed blue is that for the SKA-Mid AA4 survey auto-correlations, solid red for the OIV optical/nIR Stage-IV survey auto-correlations, dash-dotted green represents their cross-correlation (which will remove additive systematics by construction), and filled contours show the combination of the two auto- plus one cro… view at source ↗
read the original abstract

We discuss the power of weak gravitational lensing surveys with the SKAO in constraining cosmological parameters and the properties of radio star-forming galaxy samples. As well as reviewing progress to date on cosmic shear in radio experiments, we show forecasts for parameter constraints using the Mid telescope both alone and in cross-correlation with contemporaneous optical surveys. By selecting a sample of resolved, high-redshift star-forming galaxies in Band 2, surveys with the AA4 configuration will be capable of measuring the growth of structure on large scales in the Universe through the effect of weak gravitational lensing on their shapes. Assuming the high fidelity reconstruction of such galaxy shapes to be possible, we find that SKAO will measure the $S_8$ structure formation parameter to a level of $5\%$ alone and $3\%$ in full combination with either LSST or the \emph{Euclid} satellite. These measurements will be highly important due to their radically different sensitivities to key weak lensing systematics, both instrumental and astrophysical, and as such provide a vital robustness test to a pillar of modern cosmological measurements. Radio surveys also provide unique and potentially game-changing information in the form of polarisation and galaxy kinematics, which allow the cleaner separation of lensing from intrinsic galaxy shapes and can increase statistical power by factors $\sim5$-$10$.

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

0 major / 2 minor

Summary. The manuscript forecasts the cosmological constraining power of weak gravitational lensing (cosmic shear) measurements with the SKA Observatory Mid telescope. By selecting resolved high-redshift star-forming galaxies in Band 2 under the AA4 configuration, and assuming high-fidelity shape reconstruction is possible, it predicts that SKAO alone will constrain the structure-growth parameter S8 to 5% precision and to 3% when combined with LSST or Euclid. The work reviews prior radio weak-lensing efforts, emphasizes the orthogonal systematics relative to optical surveys, and highlights the potential of polarization and kinematic information to separate lensing from intrinsic alignments, increasing statistical power by factors of ~5-10.

Significance. If the forecasts are realized, the results would supply an independent radio-based probe of structure growth whose instrumental and astrophysical systematics differ markedly from those of LSST and Euclid, thereby providing a valuable robustness test for weak-lensing cosmology. The explicit incorporation of radio-specific observables (polarization, kinematics) is a distinctive strength that could materially improve intrinsic-alignment mitigation.

minor comments (2)
  1. Abstract: the quantitative forecasts (5% and 3% on S8) are presented without reference to the specific Fisher-matrix or simulation pipeline used to obtain them; a brief pointer to the relevant section or equation would improve traceability.
  2. Abstract, final sentence: the factor '~5-10' gain from polarization/kinematics is stated without an accompanying citation or derivation; adding a reference to the calculation would strengthen the claim.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive summary, recognition of the work's significance, and recommendation for minor revision. No major comments were raised in the report.

Circularity Check

0 steps flagged

No significant circularity; forecasts are conditional projections

full rationale

The paper presents standard cosmological forecasts for SKAO weak lensing surveys under an explicit upfront assumption of high-fidelity galaxy shape reconstruction. No derivation chain, equations, or self-citations are exhibited in the provided text that reduce any claimed prediction (e.g., 5% or 3% S8 precision) to fitted inputs or prior results by construction. The central results are framed as conditional projections with orthogonal systematics, not as first-principles derivations equivalent to their inputs. This is the normal case for forecast papers and scores as self-contained.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Abstract-only review; no explicit free parameters, axioms, or invented entities are stated beyond the shape-reconstruction assumption.

pith-pipeline@v0.9.1-grok · 5779 in / 1041 out tokens · 28952 ms · 2026-06-25T20:42:49.918014+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

300 extracted references · 85 canonical work pages · 34 internal anchors

  1. [1]

    arXiv , author =:1910.09273 , journal =

    Blanchard, A. and others. Euclid preparation. VII. Forecast validation for Euclid cosmological probes. Astron. Astrophys. 2020. doi:10.1051/0004-6361/202038071. arXiv:1910.09273

    work page doi:10.1051/0004-6361/202038071 2020

  2. [2]

    arXiv e-prints , keywords =

    Anticipated Performance of the Square Kilometre Array -- Phase 1 (SKA1). arXiv e-prints , keywords =. doi:10.48550/arXiv.1912.12699 , archivePrefix =. 1912.12699 , primaryClass =

    work page doi:10.48550/arxiv.1912.12699 1912

  3. [3]

    Cosmological constraints from the convergence 1-point probability distribution

    Patton, Kenneth and Blazek, Jonathan and Honscheid, Klaus and Huff, Eric and Melchior, Peter and Ross, Ashley J. and Suchyta, Eric. Cosmological constraints from the convergence 1-point probability distribution. Mon. Not. Roy. Astron. Soc. 2017. doi:10.1093/mnras/stx1626. arXiv:1611.01486

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stx1626 2017

  4. [4]

    Bye binormal: analysing the joint PDF of galaxy density and weak lensing convergence

    Friedrich, Oliver and Castiblanco, Lina and Halder, Anik and Uhlemann, Cora. Bye binormal: analysing the joint PDF of galaxy density and weak lensing convergence. Mon. Not. Roy. Astron. Soc. 2026. doi:10.1093/mnras/staf2181. arXiv:2507.16957

    work page doi:10.1093/mnras/staf2181 2026

  5. [5]

    and Novaes, Camila P

    Armijo, Joaquin and Marques, Gabriela A. and Novaes, Camila P. and Thiele, Leander and Cowell, Jessica A. and Grand \'o n, Daniela and Shirasaki, Masato and Liu, Jia. Cosmological constraints using Minkowski functionals from the first year data of the Hyper Suprime-Cam. Mon. Not. Roy. Astron. Soc. 2025. doi:10.1093/mnras/staf257. arXiv:2410.00401

    work page doi:10.1093/mnras/staf257 2025

  6. [6]

    KiDS-1000 and DES-Y1 combined: cosmology from peak count statistics

    Harnois-Deraps, Joachim and others. KiDS-1000 and DES-Y1 combined: cosmology from peak count statistics. Mon. Not. Roy. Astron. Soc. 2024. doi:10.1093/mnras/stae2249. arXiv:2405.10312

    work page doi:10.1093/mnras/stae2249 2024

  7. [7]

    Lifting weak lensing degeneracies with a field-based likelihood

    Porqueres, Natalia and Heavens, Alan and Mortlock, Daniel and Lavaux, Guilhem. Lifting weak lensing degeneracies with a field-based likelihood. Mon. Not. Roy. Astron. Soc. 2021. doi:10.1093/mnras/stab3234. arXiv:2108.04825

    work page doi:10.1093/mnras/stab3234 2021

  8. [8]

    Towards a full wCDM map-based analysis for weak lensing surveys

    Z. Towards a full wCDM map-based analysis for weak lensing surveys. Mon. Not. Roy. Astron. Soc. 2023. doi:10.1093/mnras/stad2212. arXiv:2206.01450

    work page doi:10.1093/mnras/stad2212 2023

  9. [9]

    and Baldi, M

    Ajani, V. and Baldi, M. and Barthelemy, A. and Boyle, A. and Burger, P. and Cardone, V. F. and Cheng, S. and Codis, S. and Giocoli, C. and Harnois-Déraps, J. and Heydenreich, S. and Kansal, V. and Kilbinger, M. and Linke, L. and Llinares, C. and Martinet, N. and Parroni, C. and Peel, A. and Pires, S. and Porth, L. and Tereno, I. and Uhlemann, C. and Vicin...

    work page doi:10.1051/0004-6361/202346017

  10. [10]

    Nuw CDM cosmology from the weak-lensing convergence PDF , volume=

    Boyle, Aoife and Uhlemann, Cora and Friedrich, Oliver and Barthelemy, Alexandre and Codis, Sandrine and Bernardeau, Francis and Giocoli, Carlo and Baldi, Marco , year=. Nuw CDM cosmology from the weak-lensing convergence PDF , volume=. Monthly Notices of the Royal Astronomical Society , publisher=. doi:10.1093/mnras/stab1381 , number=

    work page doi:10.1093/mnras/stab1381

  11. [11]

    Unleashing cosmic shear information with the tomographic weak lensing PDF , volume=

    Castiblanco, Lina and Uhlemann, Cora and Harnois-Déraps, Joachim and Barthelemy, Alexandre , year=. Unleashing cosmic shear information with the tomographic weak lensing PDF , volume=. doi:10.33232/001c.121302 , journal=

    work page doi:10.33232/001c.121302

  12. [12]

    and others

    Friedrich, O. and others. Density Split Statistics: Joint Model of Counts and Lensing in Cells. Phys. Rev. D. 2018. doi:10.1103/PhysRevD.98.023508. arXiv:1710.05162

    work page doi:10.1103/physrevd.98.023508 2018

  13. [13]

    and Liu, Jia and Shirasaki, Masato and Thiele, Leander and Grand \'o n, Daniela and Huffenberger, Kevin M

    Marques, Gabriela A. and Liu, Jia and Shirasaki, Masato and Thiele, Leander and Grand \'o n, Daniela and Huffenberger, Kevin M. and Cheng, Sihao and Harnois-D \'e raps, Joachim and Osato, Ken and Coulton, William R. Cosmology from weak lensing peaks and minima with Subaru Hyper Suprime-Cam Survey first-year data. Mon. Not. Roy. Astron. Soc. 2024. doi:10.1...

    work page doi:10.1093/mnras/stae098 2024

  14. [14]

    emcee: The MCMC Hammer

    Foreman-Mackey, Daniel and Hogg, David W. and Lang, Dustin and Goodman, Jonathan. emcee: The MCMC Hammer. Publ. Astron. Soc. Pac. 2013. doi:10.1086/670067. arXiv:1202.3665

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1086/670067 2013

  15. [15]

    E., Alonso, D., Krause, E., et al

    Chisari, Nora Elisa and others. Core Cosmology Library: Precision Cosmological Predictions for LSST. Astrophys. J. Suppl. 2019. doi:10.3847/1538-4365/ab1658. arXiv:1812.05995

    work page doi:10.3847/1538-4365/ab1658 2019

  16. [16]

    SBi3PCF: simulation-based inference with the integrated 3PCF

    Gebauer, David and Halder, Anik and Seitz, Stella and Anbajagane, Dhayaa. SBi3PCF: simulation-based inference with the integrated 3PCF. JCAP. 2026. doi:10.1088/1475-7516/2026/06/036. arXiv:2510.13805

    work page doi:10.1088/1475-7516/2026/06/036 2026

  17. [17]

    The integrated three-point correlation function of cosmic shear

    Halder, Anik and Friedrich, Oliver and Seitz, Stella and Varga, Tamas N. The integrated three-point correlation function of cosmic shear. Mon. Not. Roy. Astron. Soc. 2021. doi:10.1093/mnras/stab1801. arXiv:2102.10177

    work page doi:10.1093/mnras/stab1801 2021

  18. [18]

    Cosmology from the integrated shear 3-point correlation function: simulated likelihood analyses with machine-learning emulators

    Gong, Zhengyangguang and Halder, Anik and Barreira, Alexandre and Seitz, Stella and Friedrich, Oliver. Cosmology from the integrated shear 3-point correlation function: simulated likelihood analyses with machine-learning emulators. JCAP. 2023. doi:10.1088/1475-7516/2023/07/040. arXiv:2304.01187

    work page doi:10.1088/1475-7516/2023/07/040 2023

  19. [19]

    A roadmap to cosmological parameter analysis with third-order shear statistics - I

    Heydenreich, Sven and Linke, Laila and Burger, Pierre and Schneider, Peter. A roadmap to cosmological parameter analysis with third-order shear statistics - I. Modelling and validation. Astron. Astrophys. 2023. doi:10.1051/0004-6361/202244820. arXiv:2208.11686

    work page doi:10.1051/0004-6361/202244820 2023

  20. [20]

    and others

    Burger, Pierre A. and others. KiDS-1000 cosmology: Combined second- and third-order shear statistics. Astron. Astrophys. 2024. doi:10.1051/0004-6361/202347986. arXiv:2309.08602

    work page doi:10.1051/0004-6361/202347986 2024

  21. [21]

    and others

    Gatti, M. and others. Dark Energy Survey Year 3 results: Simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps. II. cosmological results. Phys. Rev. D. 2025. doi:10.1103/PhysRevD.111.063504. arXiv:2405.10881

    work page doi:10.1103/physrevd.111.063504 2025

  22. [22]

    Enhancing cosmic shear with the multiscale lensing probability density function

    Giblin, Benjamin and Cai, Yan-Chuan and Harnois-D \'e raps, Joachim. Enhancing cosmic shear with the multiscale lensing probability density function. Mon. Not. Roy. Astron. Soc. 2023. doi:10.1093/mnras/stad230. arXiv:2211.05708

    work page doi:10.1093/mnras/stad230 2023

  23. [23]

    and Friedrich, Oliver and Harnois-Déraps, Joachim and Schneider, Peter and Asgari, Marika and Bilicki, Maciej and Hildebrandt, Hendrik and Wright, Angus H

    Burger, Pierre A. and Friedrich, Oliver and Harnois-Déraps, Joachim and Schneider, Peter and Asgari, Marika and Bilicki, Maciej and Hildebrandt, Hendrik and Wright, Angus H. and Castro, Tiago and Dolag, Klaus and Heymans, Catherine and Joachimi, Benjamin and Kuijken, Konrad and Martinet, Nicolas and Shan, HuanYuan and Tröster, Tilman , year=. KiDS-1000 co...

    work page doi:10.1051/0004-6361/202244673

  24. [24]

    Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data

    Gruen, D. and others. Density Split Statistics: Cosmological Constraints from Counts and Lensing in Cells in DES Y1 and SDSS Data. Phys. Rev. D. 2018. doi:10.1103/PhysRevD.98.023507. arXiv:1710.05045

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1103/physrevd.98.023507 2018

  25. [25]

    Probability distribution function of the aperture mass field with large deviation theory , volume=

    Barthelemy, Alexandre and Codis, Sandrine and Bernardeau, Francis , year=. Probability distribution function of the aperture mass field with large deviation theory , volume=. Monthly Notices of the Royal Astronomical Society , publisher=. doi:10.1093/mnras/stab818 , number=

    work page doi:10.1093/mnras/stab818

  26. [26]

    2015 , publisher=

    Advancing Astrophysics with the Square Kilometre Array (AASKA14) , author=. 2015 , publisher=

    2015

  27. [27]

    SKA Weak Lensing I: Cosmological Forecasts and the Power of Radio-Optical Cross-Correlations

    Harrison, Ian and Camera, Stefano and Zuntz, Joe and Brown, Michael L. SKA weak lensing I. Cosmological forecasts and the power of radio-optical cross-correlations. Mon. Not. Roy. Astron. Soc. 2016. doi:10.1093/mnras/stw2082. arXiv:1601.03947

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stw2082 2016

  28. [28]

    Polarization-shape alignment of IllustrisTNG star-forming galaxies

    Zhou, Rui and Dai, Liang and Huang, Junwu and Yin, Weichen Winston and Ferraro, Simone. Polarization-shape alignment of IllustrisTNG star-forming galaxies. JCAP. 2025. doi:10.1088/1475-7516/2025/11/051. arXiv:2507.06106

    work page doi:10.1088/1475-7516/2025/11/051 2025

  29. [29]

    Prospects for radio weak lensing - Studies using LOFAR observations in the ELAIS-N1 field

    Liu, Jinyi and van Weeren, Reinout and Rottgering, Huub and Kuijken, Konrad. Prospects for radio weak lensing - Studies using LOFAR observations in the ELAIS-N1 field. Astron. Astrophys. 2025. doi:10.1051/0004-6361/202554446. arXiv:2506.20845

    work page doi:10.1051/0004-6361/202554446 2025

  30. [30]

    Cosmology and source redshift distributions from combining radio weak lensing with CMB lensing

    Kalaja, Alba and Harrison, Ian and Coulton, William R. Cosmology and source redshift distributions from combining radio weak lensing with CMB lensing. JCAP. 2025. doi:10.1088/1475-7516/2025/07/001. arXiv:2412.14713

    work page doi:10.1088/1475-7516/2025/07/001 2025

  31. [31]

    Three-dimensional weak gravitational lensing of the 21-cm radiation background

    Lozano Torres, Jose Agustin and Schaefer, Bjoern Malte. Three-dimensional weak gravitational lensing of the 21-cm radiation background. Mon. Not. Roy. Astron. Soc. 2022. doi:10.1093/mnras/stac796. arXiv:2205.03713

    work page doi:10.1093/mnras/stac796 2022

  32. [32]

    Radio Weak Lensing Shear Measurement in the Visibility Domain - I. Methodology

    Rivi, Marzia and Miller, Lance and Makhathini, Sphesihle and Abdalla, Filipe Batoni. Radio weak lensing shear measurement in the visibility domain I. Methodology. Mon. Not. Roy. Astron. Soc. 2016. doi:10.1093/mnras/stw2041. arXiv:1603.04784

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stw2041 2016

  33. [33]

    RadioLensfit: An HPC tool for accurate galaxy shape measurement with SKA

    Rivi, Marzia and Miller, Lance. RadioLensfit: An HPC tool for accurate galaxy shape measurement with SKA. Astron. Comput. 2022. doi:10.1016/j.ascom.2022.100574. arXiv:2203.14071

    work page doi:10.1016/j.ascom.2022.100574 2022

  34. [34]

    Radio Galaxy Shape Measurement with Hamiltonian Monte Carlo in the Visibility Domain

    Rivi, M. and Lochner, M. and Balan, S. T. and Harrison, I. and Abdalla, F. B. Radio Galaxy Shape Measurement with Hamiltonian Monte Carlo in the Visibility Domain. Mon. Not. Roy. Astron. Soc. 2019. doi:10.1093/mnras/sty2700. arXiv:1805.06799

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/sty2700 2019

  35. [35]

    Radio Weak Lensing Shear Measurement in the Visibility Domain - II. Source Extraction

    Rivi, Marzia and Miller, Lance. Radio weak lensing shear measurement in the visibility domain II. Source extraction. Mon. Not. Roy. Astron. Soc. 2018. doi:10.1093/mnras/sty371. arXiv:1709.01827

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/sty371 2018

  36. [36]

    Weak gravitational lensing with CO galaxies

    Bull, Philip and Harrison, Ian and Huff, Eric. Weak gravitational lensing with CO galaxies. ASP Conf. Ser. 2018. arXiv:1806.08339

    Pith/arXiv arXiv 2018

  37. [37]

    Weak Lensing Simulations for the SKA

    Weak Lensing Simulations for the SKA. Advancing Astrophysics with the Square Kilometre Array (AASKA14) , year = 2015, month = apr, eid =. doi:10.22323/1.215.0030 , archivePrefix =. 1501.03892 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.22323/1.215.0030 2015

  38. [38]

    , keywords =

    Kamionkowski, Marc and Babul, Arif and Cress, Catherine M. and Refregier, Alexandre. Theory and statistics of weak lensing from large scale mass inhomogeneities. Mon. Not. Roy. Astron. Soc. 1998. doi:10.1046/j.1365-8711.1998.02054.x. arXiv:astro-ph/9712030

    work page doi:10.1046/j.1365-8711.1998.02054.x 1998

  39. [39]

    Cosmology with the Square Kilometre Array

    Blake, Chris A. and Abdalla, Filipe B. and Bridle, Sarah L. and Rawlings, Steve. Cosmology with the Square Kilometre Array. New Astron. Rev. 2004. doi:10.1016/j.newar.2004.09.045. arXiv:astro-ph/0409278

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1016/j.newar.2004.09.045 2004

  40. [40]

    The super cluster assisted shear survey: Project overview and data release 1

    SuperCLASS - I. The super cluster assisted shear survey: Project overview and data release 1. Mon. Not. Roy. Astron. Soc. doi:10.1093/mnras/staa709 , archivePrefix =. 2003.01734 , primaryClass =

    work page doi:10.1093/mnras/staa709 2003

  41. [41]

    Super-cluster simulations: impact of baryons on the matter power spectrum and weak lensing forecasts for Super-CLASS

    Peters, Aaron and Brown, Michael L. and Kay, Scott T. and Barnes, David J. Supercluster simulations: impact of baryons on the matter power spectrum and weak lensing forecasts for Super-CLASS. Mon. Not. Roy. Astron. Soc. 2018. doi:10.1093/mnras/stx2780. arXiv:1612.04247

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stx2780 2018

  42. [42]

    and Crain, Robert A

    Hill, Alexander D. and Crain, Robert A. and McCarthy, Ian G. and Brown, Shaun T. Intrinsic alignments of the extended radio continuum emission of galaxies in the EAGLE simulations. Mon. Not. Roy. Astron. Soc. 2022. doi:10.1093/mnras/stac304. arXiv:2201.04644

    work page doi:10.1093/mnras/stac304 2022

  43. [43]

    Detection of weak gravitational lensing distortions of distant galaxies by cosmic dark matter at large scales

    Wittman, David M. and Tyson, J. Anthony and Kirkman, David and Dell'Antonio, Ian and Bernstein, Gary. Detection of weak gravitational lensing distortions of distant galaxies by cosmic dark matter at large scales. Nature. 2000. doi:10.1038/35012001. arXiv:astro-ph/0003014

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1038/35012001 2000

  44. [44]

    Detection of correlated galaxy ellipticities on CFHT data: First evidence for gravitational lensing by large scale structures

    van Waerbeke, Ludovic and others. Detection of correlated galaxy ellipticities on CFHT data: First evidence for gravitational lensing by large scale structures. Astron. Astrophys. 2000. arXiv:astro-ph/0002500

    Pith/arXiv arXiv 2000

  45. [45]

    Abundance and colour gradients in discs

    Bacon, David J. and Refregier, Alexandre R. and Ellis, Richard S. Detection of weak gravitational lensing by large-scale structure. Mon. Not. Roy. Astron. Soc. 2000. doi:10.1046/j.1365-8711.2000.03851.x. arXiv:astro-ph/0003008

    work page doi:10.1046/j.1365-8711.2000.03851.x 2000

  46. [46]

    Secco, L. F. and Samuroff, S. and others. Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty. Phys. Rev. D. 2022. doi:10.1103/PhysRevD.105.023515. arXiv:2105.13544

    work page doi:10.1103/physrevd.105.023515 2022

  47. [47]

    Efficient Computation of CMB anisotropies in closed FRW models

    Lewis, Antony and Challinor, Anthony and Lasenby, Anthony. Efficient computation of CMB anisotropies in closed FRW models. Astrophys. J. 2000. doi:10.1086/309179. arXiv:astro-ph/9911177

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1086/309179 2000

  48. [48]

    , keywords =

    Amon, A. and others. Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration. Phys. Rev. D. 2022. doi:10.1103/PhysRevD.105.023514. arXiv:2105.13543

    work page doi:10.1103/physrevd.105.023514 2022

  49. [49]

    KiDS-Legacy: Cosmological constraints from cosmic shear with the complete Kilo-Degree Survey

    Wright, Angus H. and others. KiDS-Legacy: Cosmological constraints from cosmic shear with the complete Kilo-Degree Survey. Astron. Astrophys. 2025. doi:10.1051/0004-6361/202554908. arXiv:2503.19441

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1051/0004-6361/202554908 2025

  50. [50]

    Hyper Suprime-Cam Year 3 results: Cosmology from cosmic shear power spectra

    Dalal, Roohi and others. Hyper Suprime-Cam Year 3 results: Cosmology from cosmic shear power spectra. Phys. Rev. D. 2023. doi:10.1103/PhysRevD.108.123519. arXiv:2304.00701

    work page doi:10.1103/physrevd.108.123519 2023

  51. [51]

    and 34 colleagues 2023.\ Hyper Suprime-Cam Year 3 results: Cosmology from cosmic shear two-point correlation functions.\ Physical Review D 108

    Li, Xiangchong and others. Hyper Suprime-Cam Year 3 results: Cosmology from cosmic shear two-point correlation functions. Phys. Rev. D. 2023. doi:10.1103/PhysRevD.108.123518. arXiv:2304.00702

    work page doi:10.1103/physrevd.108.123518 2023

  52. [52]

    Large-Scale Cosmic Shear Measurements

    Large-Scale Cosmic Shear Measurements. arXiv e-prints , keywords =. doi:10.48550/arXiv.astro-ph/0003338 , archivePrefix =. astro-ph/0003338 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.astro-ph/0003338

  53. [53]

    A rising tide: intrinsic alignments since the turn of the millennium

    Chisari, Nora Elisa. A rising tide: intrinsic alignments since the turn of the millennium. Astron. Astrophys. Rev. 2025. doi:10.1007/s00159-025-00161-8. arXiv:2510.15738

    work page doi:10.1007/s00159-025-00161-8 2025

  54. [54]

    Pourtsidou, Alkistis and Bacon, David and Crittenden, Robert and Metcalf, R. Benton. Prospects for clustering and lensing measurements with forthcoming intensity mapping and optical surveys. Mon. Not. Roy. Astron. Soc. 2016. doi:10.1093/mnras/stw658. arXiv:1509.03286

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stw658 2016

  55. [55]

    Weak Gravitational Lensing of the CMB

    Lewis, Antony and Challinor, Anthony. Weak gravitational lensing of the CMB. Phys. Rept. 2006. doi:10.1016/j.physrep.2006.03.002. arXiv:astro-ph/0601594

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1016/j.physrep.2006.03.002 2006

  56. [56]

    The first shear measurements from precision weak lensing. Mon. Not. Roy. Astron. Soc. doi:10.1093/mnras/staa2893 , archivePrefix =. 2009.10067 , primaryClass =

    work page doi:10.1093/mnras/staa2893 2009

  57. [57]

    Cosmic Birefringence from the Atacama Cosmology Telescope Data Release 6

    Diego-Palazuelos, Patricia and Komatsu, Eiichiro. Cosmic birefringence from the Atacama Cosmology Telescope Data Release 6. Phys. Rev. D. 2026. doi:10.1103/pbc3-t52s. arXiv:2509.13654

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1103/pbc3-t52s 2026

  58. [58]

    and Ravi, Vikram and Hallinan, Gregg

    Connor, Liam and Bouman, Katherine L. and Ravi, Vikram and Hallinan, Gregg. Deep radio-interferometric imaging with POLISH: DSA-2000 and weak lensing. Mon. Not. Roy. Astron. Soc. 2022. doi:10.1093/mnras/stac1329. arXiv:2111.03249

    work page doi:10.1093/mnras/stac1329 2000

  59. [59]

    Weak lensing using only galaxy position angles

    Whittaker, Lee and Brown, Michael and Battye, Richard. Weak lensing using only galaxy position angles. Mon. Not. Roy. Astron. Soc. 2014. doi:10.1093/mnras/stu1858. arXiv:1311.3926

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stu1858 2014

  60. [60]

    and Ghisellini, G

    Amara, Adam and Refregier, Alexandre. Systematic Bias in Cosmic Shear: Beyond the Fisher Matrix. Mon. Not. Roy. Astron. Soc. 2008. doi:10.1111/j.1365-2966.2008.13880.x. arXiv:0710.5171

    work page doi:10.1111/j.1365-2966.2008.13880.x 2008

  61. [61]

    Cosmic shear with one component and its application to future radio surveys

    Huang, Yu-Hsiu and Krause, Elisabeth and Eifler, Tim and Bernstein, Gary and Xu, Jiachuan and Huff, Eric and S., Pranjal R. Cosmic shear with one component and its application to future radio surveys. Phys. Rev. D. 2026. doi:10.1103/bfx7-4fsw. arXiv:2510.18011

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1103/bfx7-4fsw 2026

  62. [62]

    doi:10.48550/arXiv.2602.10065

    Dark Energy Survey Year 6 Results: Cosmological Constraints from Cosmic Shear. arXiv e-prints , keywords =. doi:10.48550/arXiv.2602.10065 , archivePrefix =. 2602.10065 , primaryClass =

    work page doi:10.48550/arxiv.2602.10065

  63. [63]

    Abbott, T. M. C. and others. Dark Energy Survey Year 6 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing. 2026. arXiv:2601.14559

    arXiv 2026

  64. [64]

    SuperCLASS III

    Harrison, Ian and others. SuperCLASS III. Weak lensing from radio and optical observations in Data Release 1. Mon. Not. Roy. Astron. Soc. 2020. doi:10.1093/mnras/staa696. arXiv:2003.01736

    work page doi:10.1093/mnras/staa696 2020

  65. [65]

    and others

    Manning, Sinclaire M. and others. SuperCLASS II. Photometric redshifts and characteristics of spatially resolved Jy radio sources. Mon. Not. Roy. Astron. Soc. 2020. doi:10.1093/mnras/staa657. arXiv:2003.01735

    work page doi:10.1093/mnras/staa657 2020

  66. [66]

    and others

    Bacon, David J. and others. Cosmology with Phase 1 of the Square Kilometre Array: Red Book 2018: Technical specifications and performance forecasts. Publ. Astron. Soc. Austral. 2020. doi:10.1017/pasa.2019.51. arXiv:1811.02743

    work page doi:10.1017/pasa.2019.51 2018

  67. [67]

    Hillier , M

    Hillier, Tom and Brown, Michael L. and Harrison, Ian and Whittaker, Lee. Radio optical galaxy shape and shear correlations in the COSMOS field using 3 GHz VLA observations. Mon. Not. Roy. Astron. Soc. 2019. doi:10.1093/mnras/stz2098. arXiv:1810.01220

    work page doi:10.1093/mnras/stz2098 2019

  68. [68]

    Estimating the weak-lensing rotation signal in radio cosmic shear surveys

    Thomas, Daniel B. and Whittaker, Lee and Camera, Stefano and Brown, Michael L. Estimating the weak-lensing rotation signal in radio cosmic shear surveys. Mon. Not. Roy. Astron. Soc. 2017. doi:10.1093/mnras/stx1468. arXiv:1612.01533

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stx1468 2017

  69. [69]

    Practical Weak Lensing Shear Measurement with Metacalibration

    Sheldon, Erin S. and Huff, Eric M. Practical Weak Lensing Shear Measurement with Metacalibration. Astrophys. J. 2017. doi:10.3847/1538-4357/aa704b. arXiv:1702.02601

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/1538-4357/aa704b 2017

  70. [70]

    The Tiered Radio Extragalactic Continuum Simulation (T-RECS)

    Bonaldi, Anna and Bonato, Matteo and Galluzzi, Vincenzo and Harrison, Ian and Massardi, Marcella and Kay, Scott and De Zotti, Gianfranco and Brown, Michael L. The Tiered Radio Extragalactic Continuum Simulation (T-RECS). Mon. Not. Roy. Astron. Soc. 2019. doi:10.1093/mnras/sty2603. arXiv:1805.05222

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/sty2603 2019

  71. [71]

    Radio-Optical Galaxy Shape Correlations in the COSMOS Field

    Tunbridge, Ben and Harrison, Ian and Brown, Michael L. Radio optical galaxy shape correlations in the COSMOS field. Mon. Not. Roy. Astron. Soc. 2016. doi:10.1093/mnras/stw2224. arXiv:1607.02875

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stw2224 2016

  72. [72]

    SKA Weak Lensing III: Added Value of Multi-Wavelength Synergies for the Mitigation of Systematics

    Camera, Stefano and Harrison, Ian and Bonaldi, Anna and Brown, Michael L. SKA weak lensing III. Added value of multiwavelength synergies for the mitigation of systematics. Mon. Not. Roy. Astron. Soc. 2017. doi:10.1093/mnras/stw2688. arXiv:1606.03451

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stw2688 2017

  73. [73]

    SKA Weak Lensing II: Simulated Performance and Survey Design Considerations

    Bonaldi, Anna and Harrison, Ian and Camera, Stefano and Brown, Michael L. SKA weak lensing II. Simulated performance and survey design considerations. Mon. Not. Roy. Astron. Soc. 2016. doi:10.1093/mnras/stw2104. arXiv:1601.03948

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stw2104 2016

  74. [74]

    and Huang, Hung-Jin and Everett, Spencer and Krause, Elisabeth

    Xu, Jiachuan and Eifler, Tim and Huff, Eric and S., Pranjal R. and Huang, Hung-Jin and Everett, Spencer and Krause, Elisabeth. Kinematic lensing with the Roman Space Telescope. Mon. Not. Roy. Astron. Soc. 2022. doi:10.1093/mnras/stac3685. arXiv:2201.00739

    work page doi:10.1093/mnras/stac3685 2022

  75. [75]

    and Leauthaud, Alexie and Stark, David

    DiGiorgio, Brian and Bundy, Kevin and Westfall, Kyle B. and Leauthaud, Alexie and Stark, David. A Novel Framework for Modeling Weakly Lensing Shear Using Kinematics and Imaging at Moderate Redshift. Astrophys. J. 2021. doi:10.3847/1538-4357/ac2572. arXiv:2109.14044

    work page doi:10.3847/1538-4357/ac2572 2021

  76. [76]

    Separating weak lensing and intrinsic alignments using radio observations

    Whittaker, Lee and Brown, Michael L. and Battye, Richard A. Separating weak lensing and intrinsic alignments using radio observations. Mon. Not. Roy. Astron. Soc. 2015. doi:10.1093/mnras/stv993. arXiv:1503.00061

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stv993 2015

  77. [77]

    J., Brieden, S., Tr¨ oster, T., & Heymans, C

    Mead, Alexander and Brieden, Samuel and Tr. hmcode-2020: improved modelling of non-linear cosmological power spectra with baryonic feedback. Mon. Not. Roy. Astron. Soc. 2021. doi:10.1093/mnras/stab082. arXiv:2009.01858

    work page doi:10.1093/mnras/stab082 2020

  78. [78]

    and Camera, S

    Ingrao, R. and Camera, S. and Harrison, I. SKA weak lensing -- IV. Self-calibration of observational systematic effects via joint multi-wavelength analyses. In prep. 2026. arXiv:XXXX.XXXXX

    2026

  79. [79]

    Weak lensing for precision cosmology

    Mandelbaum, Rachel. Weak lensing for precision cosmology. Ann. Rev. Astron. Astrophys. 2018. doi:10.1146/annurev-astro-081817-051928. arXiv:1710.03235

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1146/annurev-astro-081817-051928 2018

  80. [80]

    A Technique for Weak Lensing with Velocity Maps: Eliminating Ellipticity Noise in HI Radio Observations

    Morales, Miguel F. A Technique for Weak Lensing with Velocity Maps: Eliminating Ellipticity Noise in HI Radio Observations. Astrophys. J. Lett. 2006. doi:10.1086/508614. arXiv:astro-ph/0608494

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1086/508614 2006

Showing first 80 references.