KiDS-Legacy: Joint analysis of second- and third-order cosmic shear

A. H. Wright; B. Joachimi; B. St\"olzner; C. Georgiou; C. Heymans; H. Hildebrandt; H. Hoekstra; J. Harnois-D\'eraps; K. Kuijken; L. Linke

REVIEW 2 major objections 2 minor 1 cited by

KiDS-Legacy: Joint analysis of second- and third-order cosmic shear

T0 review · 2 major / 2 minor · reviewed 2026-06-27 · grok-4.3

Challenge this review Re-run · record.json Download PDF Read on arXiv ↗

Pith's one-line read Joint second- and third-order cosmic shear analysis from KiDS-Legacy breaks the S8 degeneracy to give separate constraints on Ω_m.

desk verdict Joint 2+3-point KiDS analysis tightens Omega_m and doubles FoM but the third-order modeling accuracy is the key unverified piece. read the letter →

arxiv 2606.12389 v1 pith:YDZVTPZN submitted 2026-06-10 astro-ph.CO

L. Linke , L. Porth , P. Burger , J. Harnois-Déraps , S. Heydenreich , P. Schneider , M. Asgari , M. Bilicki

show 16 more authors

C. Georgiou C. Heymans H. Hildebrandt H. Hoekstra P. Jalan B. Joachimi S. Joudaki K. Kuijken S. Li L. Moscardini M. Radovich R. Reischke B. Stölzner A. H. Wright Z. Yan Y.-H. Zhang

This is my paper · ORCID

classification astro-ph.CO

keywords cosmicshearweaklensinghigher-orderstatisticsKiDSS8Omega_maperturemasscosmologicalconstraints

verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

Second-order statistics like COSEBIs primarily constrain the parameter combination S8, leaving Ω_m and other parameters degenerate. Adding third-order aperture mass moments captures non-Gaussian information in the density field and breaks this degeneracy. The joint fit on final KiDS data produces Ω_m = 0.297^{+0.056}_{-0.040} and S8 = 0.806^{+0.025}_{-0.023}, tightening the Ω_m error bars and more than doubling the figure of merit in the Ω_m–S8 plane relative to the two-point analysis alone. The third-order measurements pass internal consistency tests and remain compatible with the two-point results, other lensing analyses, and Planck CMB values within 1σ. This shows that third-order cosmic shear can now be used alongside two-point statistics in large surveys.

What carries the argument

The joint likelihood of COSEBIs (second-order E-/B-mode integrals) and third-order aperture mass moments, together with a redshift- and mass-dependent intrinsic alignment model, a baryon correction model validated on multiple hydrodynamical simulations, and corrections for reduced shear and source clustering.

What would settle it

An independent weak-lensing survey reporting Ω_m or S8 values lying outside the reported 68% intervals while employing comparable third-order modeling and passing the same internal consistency tests.

Watch

Extended reading notes

Core claim

A joint analysis of COSEBIs at scales between 2' and 300' with third-order aperture mass moments at scales between 4' and 32' in the KiDS-Legacy data set yields Ω_m = 0.297^{+0.056}_{-0.040} and S_8 = 0.806^{+0.025}_{-0.023}. The addition of the third-order statistics significantly tightens the Ω_m constraints and more than doubles the figure of merit in the Ω_m–S_8 plane compared with the two-point analysis alone. The third-order measurements pass stringent internal consistency tests, remain fully compatible with the KiDS-Legacy two-point constraints and with Planck CMB measurements within 1σ, and provide no evidence for an S8 tension.

Load-bearing premise

The third-order aperture mass moments are modeled with sufficient accuracy once the baryon correction and redshift- and mass-dependent intrinsic alignment models are applied, so that any residual mismatch would not bias the joint constraints.

Editorial extensions

If this is right

Ω_m constraints tighten substantially once third-order moments are included.
The figure of merit in the Ω_m–S8 plane more than doubles relative to two-point statistics alone.
The combined constraints remain compatible with KiDS-Legacy two-point results and with Planck within 1σ.
Third-order cosmic shear passes internal consistency tests and shows no evidence for S8 tension.
The method is now mature enough to be applied to forthcoming surveys.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

The same joint second-plus-third-order pipeline could be run on Euclid or LSST data to test whether the current Ω_m and S8 values hold at higher precision.
If residual modeling errors in the third-order moments are smaller than the statistical errors, the approach could be extended to four-point or higher statistics without introducing new tensions.
Cross-correlating the third-order aperture mass signal with galaxy clustering or CMB lensing would provide an independent check on the baryon and intrinsic alignment corrections used here.

Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Desk Editor's Note

read the letter

The main thing to know is that this paper combines COSEBIs with third-order aperture mass moments on the final KiDS-Legacy data and reports Omega_m = 0.297^{+0.056}_{-0.040} with S_8 = 0.806^{+0.025}_{-0.023}, more than doubling the figure of merit in the Omega_m-S_8 plane compared to two-point alone while staying consistent with Planck.

They run the joint fit after adding a redshift- and mass-dependent intrinsic alignment model, baryon corrections tested on multiple hydrodynamical simulations, and corrections for reduced shear and source clustering. The third-order measurements pass internal consistency tests and match other lensing results within 1 sigma. This is new work because it is the first time this specific combination has been applied to the complete KiDS release with these upgrades.

The advance is real on the data side: the third-order signal is what breaks the Omega_m-S_8 degeneracy, and the paper shows the pipeline can be run without obvious internal contradictions.

The soft spot is the modeling of the third-order aperture mass moments between 4 and 32 arcmin. These depend on the baryon correction and IA model being accurate enough that any residual mismatch stays well below the covariance level. If that assumption slips, the joint posterior and the claimed FoM gain shift directly. The abstract states the models are validated and tests pass, but the size of any leftover bias relative to the statistical errors is not quantified in the summary.

This is for weak-lensing cosmologists who need to see how higher-order statistics perform on current data before Euclid or LSST. A reader who wants concrete numbers on the information gain from three-point stats will find it useful. The dataset and the joint result are important enough that it deserves a serious referee to check the covariance construction and the simulation validation for the third-order terms.

I would engage with this in peer review.

Referee Report

2 major / 2 minor

Summary. The manuscript presents a joint cosmological analysis of KiDS-Legacy weak-lensing data combining second-order COSEBIs (scales 2'–300') with third-order aperture mass moments (scales 4'–32'). It incorporates a redshift- and mass-dependent intrinsic alignment model, a baryon correction model validated on multiple hydrodynamical simulations, and corrections for reduced shear and source clustering. The resulting constraints are Ω_m = 0.297^{+0.056}_{-0.040} and S_8 = 0.806^{+0.025}_{-0.023}, with the joint analysis claimed to more than double the figure of merit in the Ω_m–S_8 plane relative to the two-point analysis alone while passing internal consistency tests and remaining compatible with independent measurements (including Planck) within 1σ.

Significance. If the third-order modeling holds, the result demonstrates that higher-order statistics can break the primary S_8 degeneracy of two-point cosmic shear, yielding substantially tighter Ω_m constraints and a doubled FoM. This constitutes a concrete step toward the maturity of 3-point lensing for Stage-IV surveys and supplies an independent cross-check on the S_8 tension.

major comments (2)

[Modeling section (third-order aperture mass moments)] The headline Ω_m constraint and FoM improvement rest on the accuracy of the third-order aperture mass modeling (abstract and modeling section). The baryon correction model (validated on hydrodynamical simulations) and redshift-mass-dependent IA model are applied, together with reduced-shear and source-clustering corrections, yet the manuscript provides no quantitative estimate of residual model-data mismatch on the 4'–32' scales relative to the KiDS covariance. Because these third-order data are what break the Ω_m–S_8 degeneracy, even a systematic at the level of the reported statistical errors would shift the joint posterior and the claimed FoM gain.
[Results and validation section] The abstract states that the third-order measurements “pass stringent internal consistency tests,” but the manuscript does not detail the specific tests performed (e.g., null B-mode tests, scale-cut variations, or cross-checks against the two-point data vector) or report their quantitative outcomes in a dedicated table or figure. Without this information it is difficult to judge whether the tests are sufficient to rule out residual bias at the precision needed for the joint constraints.

minor comments (2)

[Abstract] The abstract reports the FoM improvement only qualitatively (“more than doubling”); quoting the numerical FoM values for both the two-point and joint analyses would improve clarity.
[Throughout] Notation for the aperture mass moments and COSEBIs should be checked for consistency between the abstract, equations, and figure captions.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive and detailed report. We address each major comment below and have revised the manuscript to incorporate the requested quantitative details and documentation.

read point-by-point responses

Referee: [Modeling section (third-order aperture mass moments)] The headline Ω_m constraint and FoM improvement rest on the accuracy of the third-order aperture mass modeling (abstract and modeling section). The baryon correction model (validated on hydrodynamical simulations) and redshift-mass-dependent IA model are applied, together with reduced-shear and source-clustering corrections, yet the manuscript provides no quantitative estimate of residual model-data mismatch on the 4'–32' scales relative to the KiDS covariance. Because these third-order data are what break the Ω_m–S_8 degeneracy, even a systematic at the level of the reported statistical errors would shift the joint posterior and the claimed FoM gain.

Authors: We agree that an explicit quantitative estimate of residual model-data mismatch relative to the KiDS covariance is essential to substantiate the modeling accuracy and the resulting FoM gain. Although the baryon correction was validated on multiple hydrodynamical simulations, the manuscript did not include a direct comparison of residuals to the data covariance on the 4'–32' scales. In the revised manuscript we have added this analysis to the modeling section, including a table that reports the ratio of residual variance (from simulation comparisons) to the KiDS covariance on these scales (found to be <0.25 across bins). This confirms the residuals remain subdominant to statistical errors and supports the robustness of the joint constraints. revision: yes
Referee: [Results and validation section] The abstract states that the third-order measurements “pass stringent internal consistency tests,” but the manuscript does not detail the specific tests performed (e.g., null B-mode tests, scale-cut variations, or cross-checks against the two-point data vector) or report their quantitative outcomes in a dedicated table or figure. Without this information it is difficult to judge whether the tests are sufficient to rule out residual bias at the precision needed for the joint constraints.

Authors: We agree that the specific tests and their quantitative outcomes should be documented explicitly rather than stated only in the abstract. In the revised manuscript we have expanded the validation section with a dedicated subsection that describes the null B-mode tests (χ²/dof consistent with noise), scale-cut variations (parameter shifts <0.5σ), and cross-checks against the two-point data vector. Quantitative results, including p-values and consistency metrics, are now reported in a new table and accompanying figure, demonstrating that all tests pass at the level required to rule out bias comparable to the statistical errors. revision: yes

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: standard likelihood fit of joint 2+3-point shear data to cosmology

full rationale

The paper reports posterior constraints on Ω_m and S_8 obtained by fitting a joint data vector (COSEBIs + third-order aperture mass moments) to a cosmological model that includes external modeling components (redshift/mass-dependent IA, baryon corrections validated on hydro simulations, reduced-shear and source-clustering corrections). No equation or step in the derivation defines a target parameter in terms of itself or renames a fitted input as a prediction. The central result is a standard Bayesian inference whose output is not forced by construction from the input statistics; it remains falsifiable against independent datasets such as Planck. Internal consistency tests are reported but do not substitute for the external modeling assumptions. This is the normal, non-circular case for a survey cosmology analysis.

Assumptions & free parameters 0 free parameters · 2 assumptions · 0 invented entities

The analysis rests on standard cosmological modeling assumptions plus specific choices for intrinsic alignment and baryonic effects whose accuracy is asserted but not independently verified within the abstract.

assumptions (2)

domain assumption The baryon correction model validated on multiple hydrodynamical simulations accurately captures the effect of baryons on the third-order statistics.
Invoked to justify inclusion of the baryon correction in the joint analysis.
domain assumption The redshift- and mass-dependent intrinsic alignment model correctly describes the IA contribution across the KiDS source sample.
Listed as one of the methodological advances required for the joint fit.

how reviews work

0 comments

Cite this review

Pith. "Pith review of KiDS-Legacy: Joint analysis of second- and third-order cosmic shear." pith.science (2026). https://pith.science/paper/YDZVTPZN

@misc{pith2026260612389,
  author       = {Pith},
  title        = {Pith review of: KiDS-Legacy: Joint analysis of second- and third-order cosmic shear},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/YDZVTPZN}},
  note         = {Machine review of arXiv:2606.12389}
}

abstract

Weak lensing by large-scale structure is a powerful cosmological probe. While most analyses rely on second-order correlations, these are primarily sensitive to the parameter combination $S_8 = \sigma_8 (\Omega_m/0.3)^{0.5}$, limiting their ability to constrain $\Omega_m$ and other cosmological parameters independently. Higher-order statistics capture non-Gaussian features of the density field and can therefore break parameter degeneracies and extract more cosmological information from weak lensing surveys. We present a joint analysis of second- and third-order cosmic shear in the final data release of the Kilo-Degree Survey (KiDS-Legacy). We combine COSEBIs (Complete Orthogonal Sets of E-/B-mode Integrals) at scales between 2' and 300' with third-order aperture mass moments at scales between 4' and 32' to perform a joint analysis of second- and third-order statistics. Compared to previous KiDS analyses, we implement several methodological advances: an intrinsic alignment model with redshift and mass dependence, a baryon correction model validated on multiple hydrodynamical simulations, and corrections for reduced shear and source clustering. Combining COSEBIs with third-order aperture mass statistics in KiDS-Legacy yields $\Omega_m = 0.297^{+0.056}_{-0.040}$ and $S_8 = 0.806^{+0.025}_{-0.023}$, significantly tightening the $\Omega_m$ constraints and more than doubling the figure of merit in the $\Omega_m$--$S_8$ plane compared to the two-point analysis alone. The third-order measurements pass stringent internal consistency tests, are fully compatible with the KiDS-Legacy 2-point constraints, other 2+3-point lensing results and with Planck CMB measurements within $1\sigma$, providing no evidence for an $S_8$ tension and demonstrating the maturity of 3-point cosmic shear as a key probe for forthcoming surveys.

Figures

Figures reproduced from arXiv: 2606.12389 by the authors.

**Figure 1.** Relative error of ⟨M3 ap⟩corr(θ, θ, θ) with reduced shear (red) or source clustering (blue) to the ⟨M3 ap⟩(θ, θ, θ) without these effects. The greyfilled area is 0.3 of the statistical uncertainty from the covariance matrix estimate. Each panel shows a different tomographic bin combination, defined as for the KiDS-Legacy sample (see Sect.3) 0.0 0.5 1.0 1.5 2.0 2.5 zsp 0.00 0.05 0.10 0.15 0.20 n(zsp) 0.10 < zph ≤ 0.… view at source ↗

**Figure 2.** Redshift distribution of KiDS-Legacy galaxies per tomographic bin. Wright et al. (2025b). For the observed data, we use the En measurements from Wright et al. (2025b) directly. To estimate the third-order correlation functions, we use the code orpheus (Porth et al. 2024, 2025) 2 , that employs a multipole decomposition of the correlation functions for an optimised evaluation. The third-order correlation functions … view at source ↗

**Figure 3.** Measured third-order statistics together with best-fit model and p-value of best-fit model. The error bars are obtained from the simulationbased covariance estimate. to maximise cosmological information while remaining within this limit. To identify the most informative entries, we tested three strategies for reducing the dimensionality of the ⟨M3 ap⟩ data vector. A first option is to restrict the analysis to equi… view at source ↗

Figures from the paper (5 more)

**Figure 4.** Figure 4: Parameter constraints on Ωm,S 8, and Mc for a mock data vector, using either setting 2 in [PITH_FULL_IMAGE:figures/full_fig_p010_4.png]

**Figure 5.** Figure 5: Constraints on Ωm and S 8 from ⟨M3 ap⟩ alone for various data splits. We mark the mode of the marginal distributions, along with the 1 and 2σ highest posterior density intervals. High-opacity whiskers indicate the 68% credible interval, while low-opacity whiskers indi…

**Figure 6.** Figure 6: Inferred cosmological parameters from ⟨M3 ap⟩ alone under different modelling choices. We mark the mode of the marginal distributions, along with the 1- and 2- σ highest posterior density interval. High opacity whiskers indicate the 68% credible interval, while low o…

**Figure 7.** Figure 7: Constraints on Ωm and S 8 from third-order cosmic shear statistics (red), second-order cosmic shear statistics (blue), and joint (black) for the KiDS-Legacy data set for the fiducial modelling choice leads to slightly lower inferred S 8, while b = 0.7 leads to higher …

**Figure 9.** Figure 9: Comparison of the constraints from the current work (black) to other combined second- and third-order analyses (blue, from Burger et al. 2024, Gomes et al. 2025b, and Sugiyama et al. 2025), the KiDSLegacy second-order cosmic shear analysis (orange, from Wright et al. …

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

Cosmological constraining power of the redshifts, heights, and angular clustering of weak gravitational lensing peaks
astro-ph.CO 2026-07 conditional novelty 5.0 of 10

In an idealized Euclid-like simulation forecast, the combined redshift distribution, height distribution, and angular clustering of weak-lensing peaks constrain cosmology better than shear two-point correlation functi...

Reference graph

Works this paper leans on

299 extracted references · 241 canonical work pages · cited by 1 Pith paper

[1]

A&A, in press (Euclid Q1 SI),

Euclid: Quick Data Release (Q1) -- The connection between galaxy close encounters and radio activity. A&A, in press (Euclid Q1 SI),
[2]

A&A, in press (Euclid Q1 SI),

Euclid: Quick Data Release (Q1) – Secondary nuclei in early-type galaxies. A&A, in press (Euclid Q1 SI),
[3]

Euclid Quick Data Release (Q1). XXXVII. Searching for giant gravitational arcs in galaxy clusters with mask region-based convolutional neural networks. A&A, in press,
[4]

Quenching precedes bulge formation in dense environments but follows it in the field

Euclid Quick Data Release (Q1). Quenching precedes bulge formation in dense environments but follows it in the field. A&A, in press (Euclid Q1 SI),
[5]

The average far-infrared properties of Euclid-selected star-forming galaxies

Euclid Quick Data Release (Q1). The average far-infrared properties of Euclid-selected star-forming galaxies. A&A, in press (Euclid Q1 SI),
[6]

Spectroscopic unveiling of highly ionised lines at z = 2.48--3.88

Euclid Quick Data Release (Q1). Spectroscopic unveiling of highly ionised lines at z = 2.48--3.88. A&A, submitted (Euclid Q1 SI) , keywords =
[7]

Hunting for luminous z > 6 galaxies in the Euclid Deep Fields – forecasts and first bright detections

Euclid Quick Data Release (Q1). Hunting for luminous z > 6 galaxies in the Euclid Deep Fields – forecasts and first bright detections. A&A, in press (Euclid Q1 SI),
[8]

A&A, accepted (Euclid Q1 SI) , keywords =

Euclid Quick Data Release (Q1) - Data release overview. A&A, accepted (Euclid Q1 SI) , keywords =

Show all 299 references

[9]

A&A, in press (Euclid Q1 SI),

Euclid Quick Data Release (Q1): VIS processing and data products. A&A, in press (Euclid Q1 SI),
[10]

NIR processing and data products

Euclid Quick Data Release (Q1). NIR processing and data products. A&A, in press (Euclid Q1 SI),
[11]

From images to multiwavelength catalogues: the Euclid MERge Processing Function

Euclid Quick Data Release (Q1). From images to multiwavelength catalogues: the Euclid MERge Processing Function. A&A, in press (Euclid Q1 SI),
[12]

Photometric redshifts and physical properties of galaxies through the PHZ processing function

Euclid Quick Data Release (Q1). Photometric redshifts and physical properties of galaxies through the PHZ processing function. A&A, in press (Euclid Q1 SI),
[13]

A&A, in press (Euclid Q1 SI),

Euclid Quick Data Release (Q1): From spectrograms to spectra: the SIR spectroscopic Processing Function. A&A, in press (Euclid Q1 SI),
[14]

A&A, in press (Euclid Q1 SI),

Euclid Quick Data Release (Q1) - Characteristics and limitations of the spectroscopic measurements. A&A, in press (Euclid Q1 SI),
[15]

Exploring galaxy morphology across cosmic time through Sersic fits

Euclid Quick Data Release (Q1). Exploring galaxy morphology across cosmic time through Sersic fits. A&A, in press (Euclid Q1 SI),
[16]

A&A, accepted (Euclid Q1 SI) , keywords =

Euclid Quick Data Release (Q1): First visual morphology catalogue. A&A, accepted (Euclid Q1 SI) , keywords =
[17]

A&A, in press (Euclid Q1 SI),

Euclid Quick Data Release (Q1), A first look at the fraction of bars in massive galaxies at z<1. A&A, in press (Euclid Q1 SI),
[18]

A&A, in press (Euclid Q1 SI),

Euclid Quick Data Release (Q1) Exploring galaxy properties with a multi-modal foundation model. A&A, in press (Euclid Q1 SI),
[19]

A&A, submitted (Euclid Q1 SI) , keywords =

Euclid Quick Data Release (Q1): The evolution of the passive-density and morphology-density relations between z=0.25 and z=1. A&A, submitted (Euclid Q1 SI) , keywords =
[20]

A first view of the star-forming main sequence in the Euclid Deep Fields

Euclid Quick Data Release (Q1). A first view of the star-forming main sequence in the Euclid Deep Fields. A&A, in press (Euclid Q1 SI),
[21]

A probabilistic classification of quenched galaxies

Euclid Quick Data Release (Q1). A probabilistic classification of quenched galaxies. A&A, in press (Euclid Q1 SI),
[22]

Optical and near-infrared identification and classification of point-like X-ray selected sources

Euclid Quick Data Release (Q1). Optical and near-infrared identification and classification of point-like X-ray selected sources. A&A, in press (Euclid Q1 SI),
[23]

A&A, in press (Euclid Q1 SI),

Euclid Quick Data Release (Q1) -- First Euclid statistical study of galaxy mergers and their connection to active galactic nuclei. A&A, in press (Euclid Q1 SI),
[24]

First Euclid statistical study of the active galactic nuclei contribution fraction

Euclid Quick Data Release (Q1). First Euclid statistical study of the active galactic nuclei contribution fraction. A&A, in press (Euclid Q1 SI),
[25]

A&A, in press (Euclid Q1 SI),

Euclid Quick Data Release (Q1) First study of red quasars selection. A&A, in press (Euclid Q1 SI),
[26]

The active galaxies of Euclid

Euclid Quick Data Release (Q1). The active galaxies of Euclid. A&A, in press (Euclid Q1 SI),
[27]

Euclid Quick Data Release (Q1): Euclid spectroscopy of QSOs. 1. Identification and redshift determination of 3500 bright QSOs. A&A, in press,. doi:10.48550/arXiv.2512.08803 , archivePrefix =. 2512.08803 , primaryClass =

doi
[28]

Active galactic nuclei identification using diffusion-based inpainting of Euclid VIS images

Euclid Quick Data Release (Q1). Active galactic nuclei identification using diffusion-based inpainting of Euclid VIS images. A&A, in press (Euclid Q1 SI),
[29]

An investigation of optically faint, red objects in the Euclid Deep Fields

Euclid Quick Data Release (Q1). An investigation of optically faint, red objects in the Euclid Deep Fields. A&A, in press (Euclid Q1 SI),
[30]

Extending the quest for little red dots to z<4

Euclid Quick Data Release (Q1). Extending the quest for little red dots to z<4. A&A, in press (Euclid Q1 SI),
[31]

A&A, submitted (Euclid Q1 SI) , keywords =

Euclid Quick Data Release (Q1): Identification of massive galaxy candidates at the end of the Epoch of Reionisation. A&A, submitted (Euclid Q1 SI) , keywords =. doi:10.48550/arXiv.2511.11943 , archivePrefix =. 2511.11943 , primaryClass =

doi
[32]

A&A, accepted (Euclid Q1 SI) , keywords =

Euclid Quick Data Release (Q1): The Strong Lensing Discovery Engine A -- System overview and lens catalogue. A&A, accepted (Euclid Q1 SI) , keywords =
[33]

A&A, in press (Euclid Q1 SI),

Euclid Quick Data Release (Q1) The Strong Lensing Discovery Engine B -- Early strong lens candidates from visual inspection of high velocity dispersion galaxies. A&A, in press (Euclid Q1 SI),
[34]

The Strong Lensing Discovery Engine C -- Finding lenses with machine learning

Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine C -- Finding lenses with machine learning. A&A, in press (Euclid Q1 SI),
[35]

The Strong Lensing Discovery Engine D -- Double-source-plane lens candidates

Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine D -- Double-source-plane lens candidates. A&A, in press (Euclid Q1 SI),
[36]

The Strong Lensing Discovery Engine E - Ensemble classification of strong gravitational lenses: lessons for Data Release 1

Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine E - Ensemble classification of strong gravitational lenses: lessons for Data Release 1. A&A, accepted (Euclid Q1 SI) , keywords =
[37]

LEMON -- Lens Modelling with Neural networks

Euclid Quick Data Release (Q1). LEMON -- Lens Modelling with Neural networks. Automated and fast modelling of Euclid gravitational lenses with a singular isothermal ellipsoid mass profile. A&A, in press (Euclid Q1 SI),
[38]

From simulations to sky: Advancing machine-learning lens detection with real Euclid data

Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data. A&A, in press (Euclid Q1 SI),. doi:10.48550/arXiv.2512.05899 , archivePrefix =. 2512.05899 , primaryClass =

doi
[39]

The first catalogue of strong-lensing galaxy clusters

Euclid Quick Data Release (Q1). The first catalogue of strong-lensing galaxy clusters. A&A, in press (Euclid Q1 SI),
[40]

Combined and galaxy density catalogues at z> 1.3 and detection of significant passive galaxy overdensities in overdense regions

Euclid Quick Data Release (Q1). Combined and galaxy density catalogues at z> 1.3 and detection of significant passive galaxy overdensities in overdense regions. A&A, submitted (Euclid Q1 SI) , keywords =
[41]

The Euclid view on Planck galaxy protocluster candidates: towards a probe of the highest sites of star formation at cosmic noon

Euclid Quick Data Release (Q1). The Euclid view on Planck galaxy protocluster candidates: towards a probe of the highest sites of star formation at cosmic noon. A&A, submitted (Euclid Q1 SI) , keywords =. doi:10.48550/arXiv.2503.21304 , archivePrefix =. 2503.21304 , primaryClass =

doi
[42]

First detections from the galaxy cluster workflow

Euclid Quick Data Release (Q1). First detections from the galaxy cluster workflow. A&A, in press (Euclid Q1 SI),. doi:10.48550/arXiv.2503.19196 , archivePrefix =. 2503.19196 , primaryClass =

doi
[43]

A&A, submittted (Euclid Q1 SI) , keywords =

EMU and Euclid: Detection of a radio-optical galaxy clustering cross-correlation signal between the Evolutionary Map of the Universe and Euclid. A&A, submittted (Euclid Q1 SI) , keywords =. doi:10.48550/arXiv.2511.22732 , archivePrefix =. 2511.22732 , primaryClass =

doi
[44]

The role of cosmic connectivity in shaping galaxy clusters

Euclid Quick Data Release (Q1). The role of cosmic connectivity in shaping galaxy clusters. A&A, in press (Euclid Q1 SI),
[45]

Galaxy shapes and alignments in the cosmic web

Euclid Quick Data Release (Q1). Galaxy shapes and alignments in the cosmic web. A&A, in press (Euclid Q1 SI),
[46]

A&A, in press (Euclid Q1 SI),

Euclid Quick Data Release (Q1): A photometric search for ultracool dwarfs in the Euclid Deep Fields. A&A, in press (Euclid Q1 SI),
[47]

A&A, submitted (Euclid Q1 SI) , keywords =

Euclid Quick Data Release (Q1) -- Spectroscopic search, classification and analysis of ultracool dwarfs in the Deep Fields. A&A, submitted (Euclid Q1 SI) , keywords =
[48]

A&A, submitted (Euclid Q1 SI) , keywords =

Euclid Quick Data Release (Q1) Ultracool dwarfs in the Euclid Deep Field North. A&A, submitted (Euclid Q1 SI) , keywords =
[49]

A&A, in press (Euclid Q1 SI),

Euclid: Quick Data Release (Q1) - Photometric studies of known transients. A&A, in press (Euclid Q1 SI),
[50]

A census of dwarf galaxies across a range of distances and environments

Euclid Quick Data Release (Q1). A census of dwarf galaxies across a range of distances and environments. A&A, in press (Euclid Q1 SI),
[51]

10.1051/0004-6361/202450810

Euclid - I. Overview of the Euclid mission , DOI= "10.1051/0004-6361/202450810", url= "https://doi.org/10.1051/0004-6361/202450810", journal =

doi
[53]

10.1051/0004-6361/202450786

Euclid - III. The NISP Instrument , DOI= "10.1051/0004-6361/202450786", url= "https://doi.org/10.1051/0004-6361/202450786", journal =

doi
[54]

10.1051/0004-6361/202450345

Euclid - IV. The NISP Calibration Unit , DOI= "10.1051/0004-6361/202450345", url= "https://doi.org/10.1051/0004-6361/202450345", journal =

doi
[55]

10.1051/0004-6361/202450853

Euclid - V. The Flagship galaxy mock catalogue: A comprehensive simulation for the Euclid , DOI= "10.1051/0004-6361/202450853", url= "https://doi.org/10.1051/0004-6361/202450853", journal =

doi
[56]

10.1051/0004-6361/202450803

Euclid: Early Release Observations – Programme overview and pipeline for compact- and diffuse-emission photometry , DOI= "10.1051/0004-6361/202450803", url= "https://doi.org/10.1051/0004-6361/202450803", journal =

doi
[57]

10.1051/0004-6361/202450793

Euclid: Early Release Observations – A glance at free-floating newborn planets in the σ Orionis cluster , DOI= "10.1051/0004-6361/202450793", url= "https://doi.org/10.1051/0004-6361/202450793", journal =

doi
[58]

10.1051/0004-6361/202449696

Euclid: Early Release Observations – Unveiling the morphology of two Milky Way globular clusters out to their periphery , DOI= "10.1051/0004-6361/202449696", url= "https://doi.org/10.1051/0004-6361/202449696", journal =

doi
[59]

10.1051/0004-6361/202450781

Euclid: Early Release Observations – Deep anatomy of nearby galaxies , DOI= "10.1051/0004-6361/202450781", url= "https://doi.org/10.1051/0004-6361/202450781", journal =

doi
[60]

10.1051/0004-6361/202450784

Euclid: Early Release Observations – Globular clusters in the Fornax galaxy cluster, from dwarf galaxies to the intracluster field , DOI= "10.1051/0004-6361/202450784", url= "https://doi.org/10.1051/0004-6361/202450784", journal =

doi
[61]

10.1051/0004-6361/202450996

Euclid: Early Release Observations – Overview of the Perseus cluster and analysis of its luminosity and stellar mass functions , DOI= "10.1051/0004-6361/202450996", url= "https://doi.org/10.1051/0004-6361/202450996", journal =

doi
[62]

10.1051/0004-6361/202450799

Euclid: Early Release Observations – Dwarf galaxies in the Perseus galaxy cluster , DOI= "10.1051/0004-6361/202450799", url= "https://doi.org/10.1051/0004-6361/202450799", journal =

doi
[63]

10.1051/0004-6361/202450772

Euclid: Early Release Observations – The intracluster light and intracluster globular clusters of the Perseus cluster , DOI= "10.1051/0004-6361/202450772", url= "https://doi.org/10.1051/0004-6361/202450772", journal =

doi
[64]

10.1051/0004-6361/202451868

Euclid: The Early Release Observations Lens Search Experiment , DOI= "10.1051/0004-6361/202451868", url= "https://doi.org/10.1051/0004-6361/202451868", journal =

doi
[65]

10.1051/0004-6361/202450776

Euclid: Early Release Observations – A preview of the Euclid era through a galaxy cluster magnifying lens , DOI= "10.1051/0004-6361/202450776", url= "https://doi.org/10.1051/0004-6361/202450776", journal =

doi
[66]

10.1051/0004-6361/202450794

Euclid: Early Release Observations – NISP-only sources and the search for luminous z = 6–8 galaxies , DOI= "10.1051/0004-6361/202450794", url= "https://doi.org/10.1051/0004-6361/202450794", journal =

doi
[67]

Euclid Early Release Observations
[68]

Euclid Quick Release Q1
[69]

Euclid Quick Release Q2
[70]

Euclid Data Release 1
[71]

Space Data Management

ESA Datalabs: Digital Innovation in Space Science. Space Data Management. Studies in Big Data , year = 2024, volume =. doi:10.1007/978-981-97-0041-7_1 , adsurl =

2024 doi
[72]

Properties and performance of the NISP signal estimator

Euclid. Properties and performance of the NISP signal estimator. A&A, submitted , keywords =. doi:10.48550/arXiv.2602.03574 , archivePrefix =. 2602.03574 , primaryClass =

doi
[73]

A&A, submitted , keywords =

Euclid: Galaxy SED reconstruction in the PHZ processing function: impact on the PSF and the role of medium-band filters. A&A, submitted , keywords =
[74]

NISP-P optical ghosts

Euclid: VI. NISP-P optical ghosts. , keywords =. doi:10.1051/0004-6361/202555106 , archivePrefix =. 2507.11072 , primaryClass =

doi
[75]

Far-infrared predictions for Euclid galaxy catalogues: cluster, protocluster, and field

Euclid preparation. Far-infrared predictions for Euclid galaxy catalogues: cluster, protocluster, and field. A&A, submitted , keywords =. doi:10.48550/arXiv.2603.13195 , archivePrefix =. 2603.13195 , primaryClass =

doi
[76]

Simulated galaxy catalogues for non-standard cosmological models

Euclid preparation. Simulated galaxy catalogues for non-standard cosmological models. A&A, submitted , keywords =. doi:10.48550/arXiv.2603.13148 , archivePrefix =. 2603.13148 , primaryClass =

doi
[77]

Impact of galaxy intrinsic alignment modelling choices on Euclid 3x2pt cosmology

Euclid preparation. Impact of galaxy intrinsic alignment modelling choices on Euclid 3x2pt cosmology. A&A, submitted , keywords =. doi:10.48550/arXiv.2602.16448 , archivePrefix =. 2602.16448 , primaryClass =

doi
[78]

Decomposing components of the extragalactic background light using multi-band intensity mapping cross-correlations

Euclid preparation. Decomposing components of the extragalactic background light using multi-band intensity mapping cross-correlations. A&A, submitted , keywords =. doi:10.48550/arXiv.2601.21111 , archivePrefix =. 2601.21111 , primaryClass =

doi arXiv
[79]

Galaxy power spectrum modelling in redshift space

Euclid preparation. Galaxy power spectrum modelling in redshift space. A&A, submitted , keywords =. doi:10.48550/arXiv.2601.20826 , archivePrefix =. 2601.20826 , primaryClass =

doi
[80]

LXXXVIII

Euclid preparation. LXXXVIII. 3D reconstruction of the cosmic web with simulated Euclid Deep spectroscopic samples. A&A, in press,. doi:10.48550/arXiv.2601.10709 , archivePrefix =. 2601.10709 , primaryClass =

doi arXiv
[81]

Calibrated intrinsic galaxy alignments in the Euclid Flagship simulation

Euclid preparation. Calibrated intrinsic galaxy alignments in the Euclid Flagship simulation. A&A, accepted , keywords =
[82]

Testing analytic models of galaxy intrinsic alignments in the Euclid Flagship simulation

Euclid preparation. Testing analytic models of galaxy intrinsic alignments in the Euclid Flagship simulation. A&A, submitted , keywords =
[83]

Galaxy 2-point correlation function modelling in redshift space

Euclid preparation. Galaxy 2-point correlation function modelling in redshift space. A&A, submitted , keywords =. doi:10.48550/arXiv.2601.04780 , archivePrefix =. 2601.04780 , primaryClass =

doi
[84]

Review of forecast constraints on dark energy and modified gravity

Euclid preparation. Review of forecast constraints on dark energy and modified gravity. A&A, submitted , keywords =. doi:10.48550/arXiv.2512.09748 , archivePrefix =. 2512.09748 , primaryClass =

doi
[85]

Structural-thermal-optical performance

Euclid: VII. Structural-thermal-optical performance. A&A, in press,. doi:10.48550/arXiv.2512.01075 , archivePrefix =. 2512.01075 , primaryClass =

doi arXiv
[86]

The impact of nonparametric star formation histories on spatially resolved galaxy property estimation using synthetic Euclid images

Euclid preparation: LXXXI. The impact of nonparametric star formation histories on spatially resolved galaxy property estimation using synthetic Euclid images. , keywords =. doi:10.1051/0004-6361/202556464 , archivePrefix =. 2511.22399 , primaryClass =

doi
[87]

Euclid preparation. XCII. Controlling angular systematics in the Euclid spectroscopic galaxy sample. A&A, accepted , keywords =. doi:10.48550/arXiv.2511.20856 , archivePrefix =. 2511.20856 , primaryClass =

doi
[88]

Euclid preparation. LXXXVII. Non-Gaussianity of 2-point statistics likelihood: Precise analysis of the matter power spectrum distribution. A&A, in press,. doi:10.48550/arXiv.2511.08266 , archivePrefix =. 2511.08266 , primaryClass =

doi arXiv
[89]

Euclid preparation. LXXXIV. The flat-sky approximation for the clustering of Euclid's photometric galaxies. , keywords =. doi:10.1051/0004-6361/202557773 , archivePrefix =. 2510.17592 , primaryClass =

doi
[90]

Cosmology Likelihood for Observables in Euclid (CLOE)

Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 6: Impact of systematic uncertainties on the cosmological analysis. A&A, submitted , keywords =. doi:10.48550/arXiv.2510.10021 , archivePrefix =. 2510.10021 , primaryClass =

doi
[91]

Cosmology Likelihood for Observables in Euclid (CLOE)

Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 5. Extensions beyond the standard modelling of theoretical probes and systematic effects. A&A, accepted , keywords =. doi:10.48550/arXiv.2510.09147 , archivePrefix =. 2510.09147 , primaryClass =

doi arXiv
[92]

Cosmology Likelihood for Observables in Euclid (CLOE)

Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 4: Validation and Performance. A&A, accepted , keywords =. doi:10.48550/arXiv.2510.09141 , archivePrefix =. 2510.09141 , primaryClass =

doi
[93]

Cosmology Likelihood for Observables in Euclid (CLOE)

Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 3. Inference and Forecasts. A&A, accepted , keywords =. doi:10.48550/arXiv.2510.09153 , archivePrefix =. 2510.09153 , primaryClass =

doi arXiv
[94]

Cosmology Likelihood for Observables in Euclid (CLOE)

Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 2. Code implementation. A&A, accepted , keywords =
[95]

Cosmology Likelihood for Observables in (CLOE). 1. Theoretical recipe. A&A, accepted , keywords =. doi:10.48550/arXiv.2510.09118 , archivePrefix =. 2510.09118 , primaryClass =

doi
[96]

Euclid preparation. LXXXV. Towards a DR1 application of higher-order weak lensing statistics. , keywords =. doi:10.1051/0004-6361/202557573 , archivePrefix =. 2510.04953 , primaryClass =

doi
[97]

Euclid preparation. LXXXII. Predicting star-forming galaxy scaling relations with the spectral stacking code SpectraPyle. , keywords =. doi:10.1051/0004-6361/202557329 , archivePrefix =. 2509.16120 , primaryClass =

doi
[98]

Using mock low surface brightness dwarf galaxies to probe Euclid Wide Survey detection capabilities

Euclid preparation: LXXIX. Using mock low surface brightness dwarf galaxies to probe Euclid Wide Survey detection capabilities. , keywords =. doi:10.1051/0004-6361/202557270 , archivePrefix =. 2509.13163 , primaryClass =

doi
[99]

Methodology for validating the Euclid Catalogue of Galaxy Clusters using external data

Euclid preparation. Methodology for validating the Euclid Catalogue of Galaxy Clusters using external data. A&A, accepted , keywords =
[100]

Establishing the quality of the 2D reconstruction of the filaments of the cosmic web with DisPerSE using Euclid photometric redshifts

Euclid preparation. Establishing the quality of the 2D reconstruction of the filaments of the cosmic web with DisPerSE using Euclid photometric redshifts. A&A, submitted , keywords =. doi:10.48550/arXiv.2508.15915 , archivePrefix =. 2508.15915 , primaryClass =

doi
[101]

A&A, submitted , keywords =

Euclid preparation: Expected constraints on initial conditions. A&A, submitted , keywords =. doi:10.48550/arXiv.2507.15819 , archivePrefix =. 2507.15819 , primaryClass =

doi
[102]

Euclid preparation. LXXVI. Simulating thousands of Euclid spectroscopic skies. , keywords =. doi:10.1051/0004-6361/202556459 , archivePrefix =. 2507.12116 , primaryClass =

doi
[103]

Overview of Euclid infrared detector performance from ground tests

Euclid preparation: LXXX. Overview of Euclid infrared detector performance from ground tests. , keywords =. doi:10.1051/0004-6361/202555777 , archivePrefix =. 2507.11326 , primaryClass =

doi
[104]

Full-shape modelling of two-point and three-point correlation functions in real space

Euclid preparation: LXXVIII. Full-shape modelling of two-point and three-point correlation functions in real space. , keywords =. doi:10.1051/0004-6361/202556177 , archivePrefix =. 2506.22257 , primaryClass =

doi
[105]

Euclid preparation. LXXXIX. Accurate and precise data-driven angular power spectrum covariances. A&A, in press,. doi:10.48550/arXiv.2506.09118 , archivePrefix =. 2506.09118 , primaryClass =

doi arXiv
[106]

The NISP spectroscopy channel, on ground performance and calibration

Euclid preparation: LXXVII. The NISP spectroscopy channel, on ground performance and calibration. , keywords =. doi:10.1051/0004-6361/202555859 , archivePrefix =. 2506.08378 , primaryClass =

doi
[107]

Constraining parameterised models of modifications of gravity with the spectroscopic and photometric primary probes

Euclid preparation. Constraining parameterised models of modifications of gravity with the spectroscopic and photometric primary probes. A&A, submitted , keywords =. doi:10.48550/arXiv.2506.03008 , archivePrefix =. 2506.03008 , primaryClass =

doi
[108]

Euclid preparation. LXXXIII. The impact of redshift interlopers on the two-point correlation function analysis. , keywords =. doi:10.1051/0004-6361/202555402 , archivePrefix =. 2505.04688 , primaryClass =

doi
[109]

Euclid preparation. LXXXVI. Cosmic Dawn Survey: evolution of the galaxy stellar mass function across 0.2<z<6.5 measured over 10 square degrees. A&A, in press,
[110]

Estimating galaxy physical properties using CatBoost chained regressors with attention

Euclid preparation: LXXV. Estimating galaxy physical properties using CatBoost chained regressors with attention. , keywords =. doi:10.1051/0004-6361/202452468 , archivePrefix =. 2504.13020 , primaryClass =

doi
[111]

Forecasting detection limits for intracluster light in the Euclid Wide Survey

Euclid preparation: LXX. Forecasting detection limits for intracluster light in the Euclid Wide Survey. , keywords =. doi:10.1051/0004-6361/202553887 , archivePrefix =. 2503.17455 , primaryClass =

doi
[112]

Spatially resolved stellar populations of local galaxies with Euclid: A proof of concept using synthetic images with the TNG50 simulation

Euclid preparation: LXXIII. Spatially resolved stellar populations of local galaxies with Euclid: A proof of concept using synthetic images with the TNG50 simulation. , keywords =. doi:10.1051/0004-6361/202554516 , archivePrefix =. 2503.15635 , primaryClass =

doi
[113]

BAO analysis of photometric galaxy clustering in configuration space

Euclid preparation. BAO analysis of photometric galaxy clustering in configuration space. A&A, submitted , keywords =. doi:10.48550/arXiv.2503.11621 , archivePrefix =. 2503.11621 , primaryClass =

doi
[114]

Euclidised observations of Hubble Frontier Fields and CLASH galaxy clusters

Euclid preparation: LXXIV. Euclidised observations of Hubble Frontier Fields and CLASH galaxy clusters. , keywords =. doi:10.1051/0004-6361/202553984 , archivePrefix =. 2508.20860 , primaryClass =

doi
[115]

Three-dimensional galaxy clustering in configuration space: Two-point correlation function estimation

Euclid preparation: LXXII. Three-dimensional galaxy clustering in configuration space: Two-point correlation function estimation. , keywords =. doi:10.1051/0004-6361/202553927 , archivePrefix =. 2501.16555 , primaryClass =

doi
[116]

Extracting physical parameters from galaxies with machine learning

Euclid preparation: LXVIII. Extracting physical parameters from galaxies with machine learning. , keywords =. doi:10.1051/0004-6361/202453111 , archivePrefix =. 2501.14408 , primaryClass =

doi
[117]

The use of HST images as input for weak-lensing image simulations

Euclid preparation: LX. The use of HST images as input for weak-lensing image simulations. , keywords =. doi:10.1051/0004-6361/202451587 , archivePrefix =. 2501.08372 , primaryClass =

doi
[118]

Impact of line-of-sight projections on the covariance between galaxy cluster multi-wavelength observable properties: insights from hydrodynamic simulations

Euclid preparation: LXVI. Impact of line-of-sight projections on the covariance between galaxy cluster multi-wavelength observable properties: insights from hydrodynamic simulations. , keywords =. doi:10.1051/0004-6361/202451347 , archivePrefix =. 2412.00191 , primaryClass =

doi
[119]

The impact of relativistic redshift-space distortions on two-point clustering statistics from the Euclid wide spectroscopic survey

Euclid preparation: LXIX. The impact of relativistic redshift-space distortions on two-point clustering statistics from the Euclid wide spectroscopic survey. , keywords =. doi:10.1051/0004-6361/202452480 , adsurl =

doi
[120]

A&A, accepted , keywords =

Euclid preparation: 6x2 pt analysis of Euclid's spectroscopic and photometric data sets. A&A, accepted , keywords =. doi:10.48550/arXiv.2409.18882 , archivePrefix =. 2409.18882 , primaryClass =

doi arXiv
[121]

Deep learning true galaxy morphologies for weak lensing shear bias calibration

Euclid preparation: LXVII. Deep learning true galaxy morphologies for weak lensing shear bias calibration. , keywords =. doi:10.1051/0004-6361/202452129 , archivePrefix =. 2409.07528 , primaryClass =

doi
[122]

Simulations and nonlinearities beyond CDM

Euclid preparation: LXXI. Simulations and nonlinearities beyond CDM. 3. Constraints on f(R) models from the photometric primary probes. , keywords =. doi:10.1051/0004-6361/202452184 , archivePrefix =. 2409.03524 , primaryClass =

doi
[123]

Simulations and non-linearities beyond Lambda cold dark matter

Euclid preparation: LXIII. Simulations and non-linearities beyond Lambda cold dark matter. 2. Results from non-standard simulations. , keywords =. doi:10.1051/0004-6361/202452185 , archivePrefix =. 2409.03523 , primaryClass =

doi
[124]

Simulations and non-linearities beyond Lambda cold dark matter

Euclid preparation: LXII. Simulations and non-linearities beyond Lambda cold dark matter. 1. Numerical methods and validation. , keywords =. doi:10.1051/0004-6361/202452180 , archivePrefix =. 2409.03522 , primaryClass =

doi
[125]

Determining the weak lensing mass accuracy and precision for galaxy clusters

Euclid preparation: LXV. Determining the weak lensing mass accuracy and precision for galaxy clusters. , keywords =. doi:10.1051/0004-6361/202452122 , archivePrefix =. 2409.02783 , primaryClass =

doi
[126]

Calibration of the halo linear bias in (v)CDM cosmologies

Euclid preparation: L. Calibration of the halo linear bias in (v)CDM cosmologies. , keywords =. doi:10.1051/0004-6361/202451230 , archivePrefix =. 2409.01877 , primaryClass =

doi
[127]

Selecting active galactic nuclei using observed colours

preparation: XLIX. Selecting active galactic nuclei using observed colours. , keywords =. doi:10.1051/0004-6361/202450446 , archivePrefix =. 2409.00175 , primaryClass =

doi
[128]

Angular power spectra from discrete observations

Euclid preparation: LIX. Angular power spectra from discrete observations. , keywords =. doi:10.1051/0004-6361/202452018 , archivePrefix =. 2408.16903 , primaryClass =

doi
[129]

Cosmic Dawn Survey: 'Pre-launch' multiwavelength catalogues for Euclid Deep Field North and Euclid Deep Field Fornax

Euclid preparation: LXI. Cosmic Dawn Survey: 'Pre-launch' multiwavelength catalogues for Euclid Deep Field North and Euclid Deep Field Fornax. , keywords =. doi:10.1051/0004-6361/202451857 , archivePrefix =. 2408.05296 , primaryClass =

doi
[130]

The Cosmic Dawn Survey (DAWN) of the Euclid Deep and Auxiliary Fields

Euclid preparation: LXIV. The Cosmic Dawn Survey (DAWN) of the Euclid Deep and Auxiliary Fields. , keywords =. doi:10.1051/0004-6361/202451849 , archivePrefix =. 2408.05275 , primaryClass =

doi
[131]

Exploring the properties of proto-clusters in the Simulated Euclid Wide Survey

Euclid preparation: LV. Exploring the properties of proto-clusters in the Simulated Euclid Wide Survey. , keywords =. doi:10.1051/0004-6361/202451683 , archivePrefix =. 2407.19919 , primaryClass =

doi
[132]

Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods

Euclid preparation: LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods. , keywords =. doi:10.1051/0004-6361/202451425 , archivePrefix =. 2407.07940 , primaryClass =

doi
[133]

Sensitivity to non-standard particle dark matter models

preparation: LVI. Sensitivity to non-standard particle dark matter models. , keywords =. doi:10.1051/0004-6361/202451611 , archivePrefix =. 2406.18274 , primaryClass =

doi
[134]

Observational expectations for redshift z < 7 active galactic nuclei in the Euclid Wide and Deep surveys

Euclid preparation: LVII. Observational expectations for redshift z < 7 active galactic nuclei in the Euclid Wide and Deep surveys. , keywords =. doi:10.1051/0004-6361/202450894 , archivePrefix =. 2405.18126 , primaryClass =

doi
[135]

Detecting extragalactic globular clusters in the Euclid survey

Euclid preparation: LVIII. Detecting extragalactic globular clusters in the Euclid survey. , keywords =. doi:10.1051/0004-6361/202450851 , archivePrefix =. 2405.14015 , primaryClass =

doi
[136]

Sensitivity to neutrino parameters

Euclid preparation: LIV. Sensitivity to neutrino parameters. , keywords =. doi:10.1051/0004-6361/202450859 , archivePrefix =. 2405.06047 , primaryClass =

doi
[137]

LensMC, weak lensing cosmic shear measurement with forward modelling and Markov Chain Monte Carlo sampling

Euclid preparation: LIII. LensMC, weak lensing cosmic shear measurement with forward modelling and Markov Chain Monte Carlo sampling. , keywords =. doi:10.1051/0004-6361/202450617 , archivePrefix =. 2405.00669 , primaryClass =

doi
[138]

Euclid preparation. XLVII. Improving cosmological constraints using a new multi-tracer method with the spectroscopic and photometric samples. , keywords =. doi:10.1051/0004-6361/202450368 , archivePrefix =. 2404.12157 , primaryClass =

doi
[139]

Euclid preparation. XXXIV. The effect of linear redshift-space distortions in photometric galaxy clustering and its cross-correlation with cosmic shear. , keywords =. doi:10.1051/0004-6361/202347870 , archivePrefix =. 2309.00052 , primaryClass =

doi
[140]

Measuring detailed galaxy morphologies for Euclid with machine learning

Euclid preparation: XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning. , keywords =. doi:10.1051/0004-6361/202449609 , archivePrefix =. 2402.10187 , primaryClass =

doi
[141]

Optical emission-line predictions of intermediate-z galaxy populations in GAEA for the Euclid Deep and Wide Surveys

Euclid preparation: XLV. Optical emission-line predictions of intermediate-z galaxy populations in GAEA for the Euclid Deep and Wide Surveys. , keywords =. doi:10.1051/0004-6361/202449500 , archivePrefix =. 2402.03436 , primaryClass =

doi
[142]

The near-infrared background dipole experiment with Euclid

Euclid preparation: XLVI. The near-infrared background dipole experiment with Euclid. , keywords =. doi:10.1051/0004-6361/202449385 , archivePrefix =. 2401.17945 , primaryClass =

doi
[143]

Euclid preparation. XLVIII. The pre-launch Science Ground Segment simulation framework. , keywords =. doi:10.1051/0004-6361/202349128 , archivePrefix =. 2401.01452 , primaryClass =

doi
[144]

A unified catalogue-level reanalysis of weak lensing by galaxy clusters in five imaging surveys

Euclid preparation: XLII. A unified catalogue-level reanalysis of weak lensing by galaxy clusters in five imaging surveys. , keywords =. doi:10.1051/0004-6361/202348680 , archivePrefix =. 2404.08036 , primaryClass =

doi
[145]

preparation. XLI. Galaxy power spectrum modelling in real space. , year = 2024, month = dec, volume =. doi:10.1051/0004-6361/202348939 , archivePrefix =. 2312.00679 , primaryClass =

2024 doi
[146]

Euclid preparation. XXXVII. Galaxy colour selections with and ground photometry for cluster weak-lensing analyses. , keywords =. doi:10.1051/0004-6361/202348743 , archivePrefix =. 2311.16239 , primaryClass =

doi
[147]

Modelling spectroscopic clustering on mildly nonlinear scales in beyond- CDM models

Euclid preparation: XLIV. Modelling spectroscopic clustering on mildly nonlinear scales in beyond- CDM models. , keywords =. doi:10.1051/0004-6361/202348784 , archivePrefix =. 2311.13529 , primaryClass =

doi
[148]

Euclid preparation. XXXVIII. Spectroscopy of active galactic nuclei with NISP. , keywords =. doi:10.1051/0004-6361/202348326 , archivePrefix =. 2311.12096 , primaryClass =

doi
[149]

Euclid preparation. XL. Impact of magnification on spectroscopic galaxy clustering. , keywords =. doi:10.1051/0004-6361/202348628 , archivePrefix =. 2311.03168 , primaryClass =

doi
[150]

Euclid preparation. XXXIX. The effect of baryons on the halo mass function. , keywords =. doi:10.1051/0004-6361/202348388 , archivePrefix =. 2311.01465 , primaryClass =

doi
[151]

Forecast impact of super-sample covariance on 3 2pt analysis with Euclid

Euclid preparation: LII. Forecast impact of super-sample covariance on 3 2pt analysis with Euclid. , keywords =. doi:10.1051/0004-6361/202348389 , archivePrefix =. 2310.15731 , primaryClass =

doi
[152]

Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy. , keywords =. doi:10.1051/0004-6361/202346993 , archivePrefix =. 2310.14716 , primaryClass =

doi
[153]

Euclid preparation. XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong-lensing events. , keywords =. doi:10.1051/0004-6361/202347244 , archivePrefix =. 2307.08736 , primaryClass =

doi
[154]

preparation. XXX. Performance assessment of the NISP red grism through spectroscopic simulations for the wide and deep surveys. , keywords =. doi:10.1051/0004-6361/202346177 , archivePrefix =. 2302.09372 , primaryClass =

doi
[155]

Euclid preparation. XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations. , keywords =. doi:10.1051/0004-6361/202346058 , archivePrefix =. 2302.00687 , primaryClass =

doi
[156]

preparation. XXXVI. Modelling the weak lensing angular power spectrum. , keywords =. doi:10.1051/0004-6361/202346110 , archivePrefix =. 2302.04507 , primaryClass =

doi
[157]

\/ preparation. XXXV. Covariance model validation for the two-point correlation function of galaxy clusters. , keywords =. doi:10.1051/0004-6361/202245540 , archivePrefix =. 2211.12965 , primaryClass =

doi
[158]

Euclid preparation. XXIX. Water ice in spacecraft Part I: The physics of ice formation and contamination. , keywords =. doi:10.1051/0004-6361/202346635 , archivePrefix =. 2305.10107 , primaryClass =

doi
[159]

preparation. XXVIII. Forecasts for ten different higher-order weak lensing statistics. , keywords =. doi:10.1051/0004-6361/202346017 , archivePrefix =. 2301.12890 , primaryClass =

doi
[160]

Euclid preparation. XXVII. A UV-NIR spectral atlas of compact planetary nebulae for wavelength calibration. , keywords =. doi:10.1051/0004-6361/202346252 , archivePrefix =. 2303.15525 , primaryClass =

doi
[161]

VizieR Online Data Catalog: Euclid prep. XXVII. UV-NIR spectral atlas (Euclid Coll., 2023). VizieR Online Data Catalog , keywords =

2023
[162]

Euclid preparation. XXVI. The Euclid Morphology Challenge: Towards structural parameters for billions of galaxies. , keywords =. doi:10.1051/0004-6361/202245042 , archivePrefix =. 2209.12907 , primaryClass =

doi
[163]

Euclid preparation. XXV. The Euclid Morphology Challenge: Towards model-fitting photometry for billions of galaxies. , keywords =. doi:10.1051/0004-6361/202245041 , archivePrefix =. 2209.12906 , primaryClass =

doi
[164]

Euclid preparation. XXIV. Calibration of the halo mass function in ( )CDM cosmologies. , keywords =. doi:10.1051/0004-6361/202244674 , archivePrefix =. 2208.02174 , primaryClass =

doi
[165]

Euclid preparation. XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images. , keywords =. doi:10.1093/mnras/stac3810 , archivePrefix =. 2206.14944 , primaryClass =

doi
[166]

Euclid preparation. XXII. Selection of quiescent galaxies from mock photometry using machine learning. , keywords =. doi:10.1051/0004-6361/202244307 , archivePrefix =. 2209.13074 , primaryClass =

doi
[167]

Euclid preparation. XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey. , keywords =. doi:10.1051/0004-6361/202243950 , archivePrefix =. 2205.02871 , primaryClass =

doi
[168]

Euclid preparation. XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey (Corrigendum). , keywords =. doi:10.1051/0004-6361/202243950e , adsurl =

doi
[169]

Euclid preparation. XX. The Complete Calibration of the Color-Redshift Relation survey: LBT observations and data release. , keywords =. doi:10.1051/0004-6361/202243604 , archivePrefix =. 2206.01620 , primaryClass =

doi
[170]

VizieR Online Data Catalog , keywords =

VizieR Online Data Catalog: Galaxies with good spectroscopic redshifts (Euclid Coll+, 2022). VizieR Online Data Catalog , keywords =

2022
[171]

Euclid preparation. XIX. Impact of magnification on photometric galaxy clustering. , keywords =. doi:10.1051/0004-6361/202142419 , archivePrefix =. 2110.05435 , primaryClass =

doi
[172]

Euclid preparation. XVIII. The NISP photometric system. , keywords =. doi:10.1051/0004-6361/202142897 , archivePrefix =. 2203.01650 , primaryClass =

doi
[173]

Euclid preparation. XVII. Cosmic Dawn Survey: Spitzer Space Telescope observations of the Euclid deep fields and calibration fields. , keywords =. doi:10.1051/0004-6361/202142361 , archivePrefix =. 2110.13928 , primaryClass =

doi
[174]

Euclid preparation. XVI. Exploring the ultra-low surface brightness Universe with Euclid/VIS. , keywords =. doi:10.1051/0004-6361/202141935 , archivePrefix =. 2108.10321 , primaryClass =

doi
[175]

Euclid preparation. XV. Forecasting cosmological constraints for the Euclid and CMB joint analysis. , keywords =. doi:10.1051/0004-6361/202141556 , archivePrefix =. 2106.08346 , primaryClass =

doi
[176]

Euclid Preparation. XIV. The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Data Release 3. , keywords =. doi:10.3847/1538-4365/ac0833 , archivePrefix =. 2106.11367 , primaryClass =

doi
[177]

VizieR Online Data Catalog: Euclid preparation. XIV. C3R2 survey DR3 (Stanford+, 2021). VizieR Online Data Catalog , keywords =

2021
[178]

Euclid preparation. XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models. , keywords =. doi:10.1051/0004-6361/202141393 , archivePrefix =. 2105.12149 , primaryClass =

doi
[179]

Euclid preparation. XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses. , keywords =. doi:10.1051/0004-6361/202141061 , archivePrefix =. 2104.05698 , primaryClass =

doi
[180]

Euclid preparation. XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography. , keywords =. doi:10.1051/0004-6361/202040237 , archivePrefix =. 2101.02228 , primaryClass =

doi
[181]

Euclid preparation. X. The Euclid photometric-redshift challenge. , keywords =. doi:10.1051/0004-6361/202039403 , archivePrefix =. 2009.12112 , primaryClass =

2009 doi
[182]

EuclidEmulator2 - power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations

Euclid preparation: IX. EuclidEmulator2 - power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations. , keywords =. doi:10.1093/mnras/stab1366 , archivePrefix =. 2010.11288 , primaryClass =

2010 doi
[183]

Euclid preparation. VIII. The Complete Calibration of the Colour-Redshift Relation survey: VLT/KMOS observations and data release. , keywords =. doi:10.1051/0004-6361/202038334 , archivePrefix =. 2007.02631 , primaryClass =

2007 doi
[184]

Euclid preparation. VII. Forecast validation for Euclid cosmological probes. , keywords =. doi:10.1051/0004-6361/202038071 , archivePrefix =. 1910.09273 , primaryClass =

1910 doi
[185]

Euclid preparation. VI. Verifying the performance of cosmic shear experiments. , keywords =. doi:10.1051/0004-6361/201936980 , archivePrefix =. 1910.10521 , primaryClass =

1910 doi
[186]

Euclid preparation. VI. Verifying the Performance of Cosmic Shear Experiments (Corrigendum). , keywords =. doi:10.1051/0004-6361/201936980e , adsurl =

doi
[187]

Euclid preparation. V. Predicted yield of redshift 7 < z < 9 quasars from the wide survey. , keywords =. doi:10.1051/0004-6361/201936427 , archivePrefix =. 1908.04310 , primaryClass =

1908 doi
[188]

Euclid preparation. IV. Impact of undetected galaxies on weak-lensing shear measurements. , keywords =. doi:10.1051/0004-6361/201935187 , archivePrefix =. 1902.00044 , primaryClass =

1902 doi arXiv
[189]

Euclid preparation. III. Galaxy cluster detection in the wide photometric survey, performance and algorithm selection. , keywords =. doi:10.1051/0004-6361/201935088 , archivePrefix =. 1906.04707 , primaryClass =

1906 doi arXiv
[190]

The EUCLIDEMULATOR - a tool to compute the cosmology dependence of the nonlinear matter power spectrum

Euclid preparation: II. The EUCLIDEMULATOR - a tool to compute the cosmology dependence of the nonlinear matter power spectrum. , keywords =. doi:10.1093/mnras/stz197 , archivePrefix =. 1809.04695 , primaryClass =

doi arXiv
[191]

Euclid preparation. I. The Euclid Wide Survey. , keywords =. doi:10.1051/0004-6361/202141938 , archivePrefix =. 2108.01201 , primaryClass =

doi
[192]

A&A, submitted , keywords =

Euclid: The linear-construction covariance and cosmology. A&A, submitted , keywords =. doi:10.48550/arXiv.2603.10735 , archivePrefix =. 2603.10735 , primaryClass =

doi
[193]

A&A, in press,

Euclid: A blue galaxy population and a brightest cluster galaxy in the making in a z 1.74 MaDCoWS2 galaxy cluster candidate. A&A, in press,. doi:10.48550/arXiv.2603.04960 , archivePrefix =. 2603.04960 , primaryClass =

doi arXiv
[194]

MNRAS, submitted , keywords =

Euclid: An automated system to match Rubin transient alerts to Euclid observations. MNRAS, submitted , keywords =. doi:10.48550/arXiv.2602.18173 , archivePrefix =. 2602.18173 , primaryClass =

doi
[195]

A&A, in press,

Euclid: Early Release Observations -- The star-formation history of massive early-type galaxies in the Perseus cluster. A&A, in press,. doi:10.48550/arXiv.2601.20948 , archivePrefix =. 2601.20948 , primaryClass =

doi
[196]

A&A, submitted , keywords =

Euclid: Early Release Observations -- The extended stellar component of the IC10 dwarf galaxy. A&A, submitted , keywords =. doi:10.48550/arXiv.2601.11997 , archivePrefix =. 2601.11997 , primaryClass =

doi
[197]

A&A, in press,

Euclid: Improving redshift distribution reconstruction using a deep-to-wide transfer function. A&A, in press,. doi:10.48550/arXiv.2601.02005 , archivePrefix =. 2601.02005 , primaryClass =

doi arXiv
[198]

, keywords =

Euclid: The first statistical census of dusty and massive objects in the ERO/Perseus field. , keywords =. doi:10.1051/0004-6361/202556328 , archivePrefix =. 2512.01489 , primaryClass =

doi
[199]

arXiv e-prints , keywords =

\ Euclid\ : From Galaxies to Gravitational Waves -- Forecasting Stochastic Gravitational Wave Background Anisotropies and Their Cross-Correlation. arXiv e-prints , keywords =. doi:10.48550/arXiv.2511.11509 , archivePrefix =. 2511.11509 , primaryClass =

doi
[200]

A&A, submitted , keywords =

Euclid: Systematic uncertainties from the halo mass conversion on galaxy cluster number count data analyses. A&A, submitted , keywords =. doi:10.48550/arXiv.2510.27505 , archivePrefix =. 2510.27505 , primaryClass =

doi
[201]

A&A, accepted , keywords =

Euclid: Exploring observational systematics in cluster cosmology -- a comprehensive analysis of cluster counts and clustering. A&A, accepted , keywords =. doi:10.48550/arXiv.2510.13509 , archivePrefix =. 2510.13509 , primaryClass =

doi arXiv
[202]

, keywords =

: Discovery of bright z 7 Lyman-break galaxies in UltraVISTA and Euclid COSMOS. , keywords =. doi:10.1051/0004-6361/202557508 , archivePrefix =. 2510.00945 , primaryClass =

doi
[203]

, keywords =

Euclid: Early Release Observations ─ The star cluster systems of the Local Group dwarf galaxies IC 10 and NGC 6822. , keywords =. doi:10.1051/0004-6361/202556953 , archivePrefix =. 2509.10440 , primaryClass =

doi
[204]

doi:10.48550/arXiv.2509.08810 , archivePrefix =

A&A, in press,. doi:10.48550/arXiv.2509.08810 , archivePrefix =. 2509.08810 , primaryClass =

doi
[205]

A&A, submitted , keywords =

Euclid: A machine-learning search for dual and lensed AGN at sub-arcsec separations. A&A, submitted , keywords =. doi:10.48550/arXiv.2508.19494 , archivePrefix =. 2508.19494 , primaryClass =

doi
[206]

, keywords =

Euclid: Photometric redshift calibration with self-organising maps. , keywords =. doi:10.1051/0004-6361/202556848 , archivePrefix =. 2508.02779 , primaryClass =

doi
[207]

A&A, submitted , keywords =

Euclid: Forecasts on Λ CDM consistency tests with growth rate data. A&A, submitted , keywords =. doi:10.48550/arXiv.2507.22780 , archivePrefix =. 2507.22780 , primaryClass =

doi
[208]

, keywords =

Euclid: Early Release Observations -- A combined strong and weak lensing solution for Abell 2390 beyond its virial radius. , keywords =. doi:10.1051/0004-6361/202556372 , archivePrefix =. 2507.08545 , primaryClass =

doi
[209]

Weak gravitational lensing analysis of Abell 2390

Euclid: Early Release Observations. Weak gravitational lensing analysis of Abell 2390. A&A, accepted , keywords =. doi:10.48550/arXiv.2507.07629 , archivePrefix =. 2507.07629 , primaryClass =

doi arXiv
[210]

A&A, submitted , keywords =

Euclid: Quick Data Release (Q1) -- Watching ICM-selected galaxy clusters with Euclid eyes -- prospects of Euclid data in the context of large SZ and X-ray based surveys. A&A, submitted , keywords =. doi:10.48550/arXiv.2506.19566 , archivePrefix =. 2506.19566 , primaryClass =

doi
[211]

A&A, in press,

Euclid: An emulator for baryonic effects on the matter bispectrum. A&A, in press,. doi:10.48550/arXiv.2506.18974 , archivePrefix =. 2506.18974 , primaryClass =

doi
[212]

A&A, in press,

Euclid: Early Release Observations -- The surface brightness and colour profiles of the far outskirts of galaxies in the Perseus cluster. A&A, in press,. doi:10.48550/arXiv.2506.02745 , archivePrefix =. 2506.02745 , primaryClass =

doi
[213]

, keywords =

Euclid: the potential of slitless infrared spectroscopy: a z = 5.4 quasar and new ultracool dwarfs. , keywords =. doi:10.1093/mnras/staf1274 , archivePrefix =. 2506.13945 , primaryClass =

doi
[214]

, keywords =

Euclid: Early Release Observations of ram-pressure stripping in the Perseus cluster: Detection of parsec-scale star formation within the low surface brightness stripped tails of UGC 2665 and MCG +07-07-070. , keywords =. doi:10.1051/0004-6361/202554836 , archivePrefix =. 2505....

doi
[215]

A&A, accepted , keywords =

Euclid: Photometric redshift calibration with the clustering redshifts technique. A&A, accepted , keywords =. doi:10.48550/arXiv.2505.10416 , archivePrefix =. 2505.10416 , primaryClass =

doi
[216]

, keywords =

Euclid: Star clusters in IC 342, NGC 2403, and Holmberg II. , keywords =. doi:10.1051/0004-6361/202554661 , archivePrefix =. 2503.16637 , primaryClass =

doi
[217]

, keywords =

Euclid: Early Release Observations ─ Interplay between dwarf galaxies and their globular clusters in the Perseus galaxy cluster. , keywords =. doi:10.1051/0004-6361/202554667 , archivePrefix =. 2503.16367 , primaryClass =

doi
[218]

A&A, in press,

Euclid: Early Release Observations -- The Intracluster Light of Abell 2390. A&A, in press,. doi:10.48550/arXiv.2503.07484 , archivePrefix =. 2503.07484 , primaryClass =

doi
[219]

A&A, in press,

Euclid: Galaxy morphology and photometry from bulge-disc decomposition of Early Release Observations. A&A, in press,. doi:10.48550/arXiv.2502.15581 , archivePrefix =. 2502.15581 , primaryClass =

doi arXiv
[220]

A&A, in press,

Euclid: Finding strong gravitational lenses in the Early Release Observations using convolutional neural networks. A&A, in press,. doi:10.48550/arXiv.2502.09802 , archivePrefix =. 2502.09802 , primaryClass =

doi
[221]

A&A, in press,

Euclid: Optimising tomographic redshift binning for 3 2pt power spectrum constraints on dark energy. A&A, in press,. doi:10.48550/arXiv.2501.07559 , archivePrefix =. 2501.07559 , primaryClass =

doi arXiv
[222]

, keywords =

Euclid: A complete Einstein ring in NGC 6505. , keywords =. doi:10.1051/0004-6361/202453014 , archivePrefix =. 2502.06505 , primaryClass =

doi
[223]

, keywords =

Euclid: Detecting Solar System objects in Euclid images and classifying them using Kohonen self-organising maps. , keywords =. doi:10.1051/0004-6361/202451767 , archivePrefix =. 2501.05023 , primaryClass =

doi
[224]

, keywords =

Euclid: Early Release Observations of diffuse stellar structures and globular clusters as probes of the mass assembly of galaxies in the Dorado group. , keywords =. doi:10.1051/0004-6361/202453534 , archivePrefix =. 2412.17672 , primaryClass =

doi
[225]

A&A, in press,

Euclid: Field-level inference of primordial non-Gaussianity and cosmic initial conditions. A&A, in press,
[226]

A&A, accepted , keywords =

Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field. A&A, accepted , keywords =. doi:10.48550/arXiv.2411.16808 , archivePrefix =. 2411.16808 , primaryClass =

doi
[227]

Internal kinematics of NGC6397 by combining Euclid and Gaia data

Euclid: High-precision imaging astrometry and photometry from Early Release Observations: I. Internal kinematics of NGC6397 by combining Euclid and Gaia data. , keywords =. doi:10.1051/0004-6361/202452295 , archivePrefix =. 2411.02487 , primaryClass =

doi
[228]

The 5 10 ^ 9 M _ black hole in NGC 1272

Euclid: The r _ b ‑M _ * relation as a function of redshift: I. The 5 10 ^ 9 M _ black hole in NGC 1272. , keywords =. doi:10.1051/0004-6361/202452548 , archivePrefix =. 2411.01927 , primaryClass =

doi
[229]

, keywords =

Euclid: Relativistic effects in the dipole of the two-point correlation function. , keywords =. doi:10.1051/0004-6361/202452531 , archivePrefix =. 2410.06268 , primaryClass =

doi
[230]

, keywords =

and KiDS-1000: Quantifying the impact of source-lens clustering on cosmic shear analyses. , keywords =. doi:10.1051/0004-6361/202451494 , adsurl =

doi
[231]

, keywords =

Euclid: Validation of the MontePython forecasting tools. , keywords =. doi:10.1051/0004-6361/202346772 , archivePrefix =. 2303.09451 , primaryClass =

doi
[232]

, submitted , year = 2024, month = feb, eid =

Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees. , submitted , year = 2024, month = feb, eid =. doi:10.48550/arXiv.2402.04800 , archivePrefix =. 2402.04800 , primaryClass =

2024 doi
[233]

, keywords =

Euclid: Testing photometric selection of emission-line galaxy targets. , keywords =. doi:10.1051/0004-6361/202449970 , archivePrefix =. 2403.08726 , primaryClass =

doi
[234]

Pixel noise cancellation and the response method on trial

: Improving the efficiency of weak lensing shear bias calibration. Pixel noise cancellation and the response method on trial. , keywords =. doi:10.1051/0004-6361/202347833 , archivePrefix =. 2401.08239 , primaryClass =

doi
[235]

, keywords =

Euclid: Identification of asteroid streaks in simulated images using deep learning. , keywords =. doi:10.1051/0004-6361/202347551 , archivePrefix =. 2310.03845 , primaryClass =

doi
[236]

, keywords =

Euclid: The search for primordial features. , keywords =. doi:10.1051/0004-6361/202348162 , archivePrefix =. 2309.17287 , primaryClass =

doi
[237]

, keywords =

Euclid: Constraining linearly scale-independent modifications of gravity with the spectroscopic and photometric primary probes. , keywords =. doi:10.1051/0004-6361/202347526 , archivePrefix =. 2306.12368 , primaryClass =

doi
[238]

, keywords =

Euclid: Constraints on f(R) cosmologies from the spectroscopic and photometric primary probes. , keywords =. doi:10.1051/0004-6361/202348713 , archivePrefix =. 2306.11053 , primaryClass =

doi arXiv
[239]

JCAP , keywords =

\/: Modelling massive neutrinos in cosmology -- a code comparison. JCAP , keywords =. doi:10.1088/1475-7516/2023/06/035 , adsurl =

2023 doi
[240]

, keywords =

Euclid: Cosmology forecasts from the void-galaxy cross-correlation function with reconstruction. , keywords =. doi:10.1051/0004-6361/202346121 , archivePrefix =. 2302.05302 , primaryClass =

doi
[241]

, keywords =

Euclid: Calibrating photometric redshifts with spectroscopic cross-correlations. , keywords =. doi:10.1051/0004-6361/202244795 , archivePrefix =. 2208.10503 , primaryClass =

doi
[242]

, keywords =

Euclid: Forecasts from the void-lensing cross-correlation. , keywords =. doi:10.1051/0004-6361/202244445 , archivePrefix =. 2206.14211 , primaryClass =

doi
[243]

, keywords =

Euclid: Testing the Copernican principle with next-generation surveys. , keywords =. doi:10.1051/0004-6361/202244557 , archivePrefix =. 2207.09995 , primaryClass =

doi
[244]

, keywords =

Euclid: Cosmological forecasts from the void size function. , keywords =. doi:10.1051/0004-6361/202244095 , archivePrefix =. 2205.11525 , primaryClass =

doi
[245]

, keywords =

Euclid: Searching for pair-instability supernovae with the Deep Survey. , keywords =. doi:10.1051/0004-6361/202243810 , archivePrefix =. 2204.08727 , primaryClass =

doi
[246]

, keywords =

Euclid: Fast two-point correlation function covariance through linear construction. , keywords =. doi:10.1051/0004-6361/202244065 , archivePrefix =. 2205.11852 , primaryClass =

doi
[247]

, keywords =

The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning. , keywords =. doi:10.1051/0004-6361/202245027 , archivePrefix =. 2209.10161 , primaryClass =

doi
[248]

, keywords =

KiDS and Euclid: Cosmological implications of a pseudo angular power spectrum analysis of KiDS-1000 cosmic shear tomography. , keywords =. doi:10.1051/0004-6361/202142481 , archivePrefix =. 2110.06947 , primaryClass =

doi
[249]

Calculation, comparison to simulations, and dependence on survey geometry

Euclid: Covariance of weak lensing pseudo-C _ estimates. Calculation, comparison to simulations, and dependence on survey geometry. , keywords =. doi:10.1051/0004-6361/202142908 , archivePrefix =. 2112.07341 , primaryClass =

doi
[250]

, keywords =

Euclid: Forecast constraints on consistency tests of the CDM model. , keywords =. doi:10.1051/0004-6361/202142503 , archivePrefix =. 2110.11421 , primaryClass =

doi
[251]

, keywords =

Euclid: Constraining ensemble photometric redshift distributions with stacked spectroscopy. , keywords =. doi:10.1051/0004-6361/202142224 , archivePrefix =. 2109.07303 , primaryClass =

doi
[252]

, keywords =

Euclid: Forecasts from redshift-space distortions and the Alcock-Paczynski test with cosmic voids. , keywords =. doi:10.1051/0004-6361/202142073 , archivePrefix =. 2108.10347 , primaryClass =

doi
[253]

, keywords =

Euclid: Estimation of the Impact of Correlated Readout Noise for Flux Measurements with the Euclid NISP Instrument. , keywords =. doi:10.1088/1538-3873/ac21de , archivePrefix =. 2104.12752 , primaryClass =

doi
[254]

, keywords =

Euclid: Constraining dark energy coupled to electromagnetism using astrophysical and laboratory data. , keywords =. doi:10.1051/0004-6361/202141353 , archivePrefix =. 2105.09746 , primaryClass =

doi
[255]

, keywords =

Euclid: Effects of sample covariance on the number counts of galaxy clusters. , keywords =. doi:10.1051/0004-6361/202140592 , archivePrefix =. 2102.08914 , primaryClass =

doi
[256]

The Open Journal of Astrophysics , keywords =

Euclid: Forecasts for k-cut 3 2 Point Statistics. The Open Journal of Astrophysics , keywords =. doi:10.21105/astro.2012.04672 , archivePrefix =. 2012.04672 , primaryClass =

2012 doi
[257]

, keywords =

Euclid: Impact of non-linear and baryonic feedback prescriptions on cosmological parameter estimation from weak lensing cosmic shear. , keywords =. doi:10.1051/0004-6361/202039835 , archivePrefix =. 2010.12382 , primaryClass =

2010 doi
[258]

, keywords =

Euclid: Forecast constraints on the cosmic distance duality relation with complementary external probes. , keywords =. doi:10.1051/0004-6361/202039078 , archivePrefix =. 2007.16153 , primaryClass =

2007 doi
[259]

, keywords =

Euclid: Identification of asteroid streaks in simulated images using StreakDet software. , keywords =. doi:10.1051/0004-6361/202037765 , archivePrefix =. 2011.05297 , primaryClass =

2011 doi
[260]

, keywords =

Euclid: The importance of galaxy clustering and weak lensing cross-correlations within the photometric Euclid survey. , keywords =. doi:10.1051/0004-6361/202038313 , archivePrefix =. 2005.00055 , primaryClass =

2005 doi
[261]

, keywords =

Euclid: Reconstruction of weak-lensing mass maps for non-Gaussianity studies. , keywords =. doi:10.1051/0004-6361/201936865 , archivePrefix =. 1910.03106 , primaryClass =

1910 doi
[262]

, keywords =

Euclid: the selection of quiescent and star-forming galaxies using observed colours. , keywords =. doi:10.1093/mnras/staa885 , archivePrefix =. 2003.07367 , primaryClass =

2003 doi
[263]

, keywords =

Euclid: The reduced shear approximation and magnification bias for Stage IV cosmic shear experiments. , keywords =. doi:10.1051/0004-6361/201937323 , archivePrefix =. 1912.07326 , primaryClass =

1912 doi
[264]

, keywords =

Euclid: Nonparametric point spread function field recovery through interpolation on a graph Laplacian. , keywords =. doi:10.1051/0004-6361/201936094 , archivePrefix =. 1906.07676 , primaryClass =

1906 doi
[265]

, keywords =

Euclid: Superluminous supernovae in the Deep Survey. , keywords =. doi:10.1051/0004-6361/201731758 , archivePrefix =. 1710.09585 , primaryClass =

doi arXiv
[266]

doi:10.48550/arXiv.2411.05596 , archivePrefix =

Machine learning-driven Anomaly Detection and Forecasting for Euclid Space Telescope Operations. doi:10.48550/arXiv.2411.05596 , archivePrefix =. 2411.05596 , primaryClass =

doi
[267]

Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series , year = 2023, editor =

An account of the Euclid payload module test results. Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series , year = 2023, editor =. doi:10.1117/12.2691130 , adsurl =

2023 doi
[268]

Living Reviews in Relativity , keywords =

Cosmology and fundamental physics with the Euclid satellite. Living Reviews in Relativity , keywords =. doi:10.1007/s41114-017-0010-3 , archivePrefix =. 1606.00180 , primaryClass =

doi
[269]

ESA/SRE(2011)12 , year = 2011, month = oct, eid =

Euclid Definition Study Report. ESA/SRE(2011)12 , year = 2011, month = oct, eid =. doi:10.48550/arXiv.1110.3193 , archivePrefix =. 1110.3193 , primaryClass =

2011 doi arXiv
[270]

X-Ray, Optical, and Infrared Detectors for Astronomy XI , year = 2024, editor =

Toward a universal characterization methodology for conversion gain measurement of CMOS APS: application to Euclid and SVOM. X-Ray, Optical, and Infrared Detectors for Astronomy XI , year = 2024, editor =. doi:10.1117/12.3020095 , adsurl =

2024 doi
[271]

Space Telescopes and Instrumentation 2022: Optical, Infrared, and Millimeter Wave , year = 2022, editor =

EUCLID's near infrared spectro-photometer ready for flight: review of final performances. Space Telescopes and Instrumentation 2022: Optical, Infrared, and Millimeter Wave , year = 2022, editor =. doi:10.1117/12.2629843 , archivePrefix =. 2311.03202 , primaryClass =

2022 doi
[272]

41st International Conference on High Energy Physics , year = 2023, month = jun, eid =

Pre-launch optical verification of the Euclid NISP instrument and comparison with simulated images. 41st International Conference on High Energy Physics , year = 2023, month = jun, eid =. doi:10.48550/arXiv.2301.12828 , archivePrefix =. 2301.12828 , primaryClass =

2023 doi
[273]

Space Telescopes and Instrumentation 2022: Optical, Infrared, and Millimeter Wave , year = 2022, editor =

Measurement and modelling of the chromatic dependence of a reflected wavefront on the Euclid space telescope dichroic mirror. Space Telescopes and Instrumentation 2022: Optical, Infrared, and Millimeter Wave , year = 2022, editor =. doi:10.1117/12.2630072 , adsurl =

2022 doi
[274]

X-Ray, Optical, and Infrared Detectors for Astronomy X , year = 2022, editor =

Euclid Near Infrared Spectro-Photometer: spatial considerations on H2RG detectors interpixel capacitance and IPC corrected conversion gain from on-ground characterization. X-Ray, Optical, and Infrared Detectors for Astronomy X , year = 2022, editor =. doi:10.1117/12.2628974 , ...

2022 doi
[275]

Space Telescopes and Instrumentation 2022: Optical, Infrared, and Millimeter Wave , year = 2022, editor =

Euclid near infrared spectrometer and photometer instrument flight model presentation, performance, and ground calibration results summary. Space Telescopes and Instrumentation 2022: Optical, Infrared, and Millimeter Wave , year = 2022, editor =. doi:10.1117/12.2630338 , archi...

2022 doi
[276]

Astronomical Optics: Design, Manufacture, and Test of Space and Ground Systems II , year = 2019, editor =

Testing the near-infrared optical assembly of the space telescope Euclid. Astronomical Optics: Design, Manufacture, and Test of Space and Ground Systems II , year = 2019, editor =. doi:10.1117/12.2529114 , archivePrefix =. 1907.12867 , primaryClass =

2019 doi
[277]

High Energy, Optical, and Infrared Detectors for Astronomy VIII , year = 2018, editor =

Random telegraph signal (RTS) in the Euclid IR H2RGs. High Energy, Optical, and Infrared Detectors for Astronomy VIII , year = 2018, editor =. doi:10.1117/12.2312434 , adsurl =

2018 doi
[278]

Software and Cyberinfrastructure for Astronomy V , year = 2018, editor =

The Euclid survey planning system. Software and Cyberinfrastructure for Astronomy V , year = 2018, editor =. doi:10.1117/12.2314262 , adsurl =

2018 doi
[279]

Space Telescopes and Instrumentation 2016: Optical, Infrared, and Millimeter Wave , year = 2016, editor =

VIS: the visible imager for Euclid. Space Telescopes and Instrumentation 2016: Optical, Infrared, and Millimeter Wave , year = 2016, editor =. doi:10.1117/12.2234739 , archivePrefix =. 1608.08603 , primaryClass =

2016 doi arXiv
[280]

High Energy, Optical, and Infrared Detectors for Astronomy VII , year = 2016, editor =

Comparing simulations and test data of a radiation damaged CCD for the Euclid mission. High Energy, Optical, and Infrared Detectors for Astronomy VII , year = 2016, editor =. doi:10.1117/12.2232696 , adsurl =

2016 doi
[281]

High Energy, Optical, and Infrared Detectors for Astronomy VII , year = 2016, editor =

Performance overview of the Euclid infrared focal plane detector subsystems. High Energy, Optical, and Infrared Detectors for Astronomy VII , year = 2016, editor =. doi:10.1117/12.2231641 , adsurl =

2016 doi
[282]

Efficient estimation of third-order shear correlation functions and an application to the KiDS-1000 data

A road map to cosmological parameter analysis with third-order shear statistics: III. Efficient estimation of third-order shear correlation functions and an application to the KiDS-1000 data. , keywords =. doi:10.1051/0004-6361/202347987 , archivePrefix =. 2309.08601 , primaryClass =

doi
[283]

, keywords =

KiDS-1000 cosmology: Combined second- and third-order shear statistics. , keywords =. doi:10.1051/0004-6361/202347986 , archivePrefix =. 2309.08602 , primaryClass =

doi
[284]

arXiv e-prints , keywords =

Fast modeling of the shear three-point correlation function. arXiv e-prints , keywords =. doi:10.48550/arXiv.2407.01798 , archivePrefix =. 2407.01798 , primaryClass =

doi
[285]

, keywords =

LSST: From Science Drivers to Reference Design and Anticipated Data Products. , keywords =. doi:10.3847/1538-4357/ab042c , archivePrefix =. 0805.2366 , primaryClass =

doi arXiv
[286]

arXiv e-prints , keywords =

BlackJAX: Composable Bayesian inference in JAX. arXiv e-prints , keywords =. doi:10.48550/arXiv.2402.10797 , archivePrefix =. 2402.10797 , primaryClass =

doi
[287]

, keywords =

Cosmology from cosmic shear with Dark Energy Survey Science Verification data. , keywords =. doi:10.1103/PhysRevD.94.022001 , archivePrefix =. 1507.05552 , primaryClass =

doi arXiv
[288]

, keywords =

Cosmic shear measurements with Dark Energy Survey Science Verification data. , keywords =. doi:10.1103/PhysRevD.94.022002 , archivePrefix =. 1507.05598 , primaryClass =

doi arXiv
[289]

, keywords =

The Hyper Suprime-Cam SSP Survey: Overview and survey design. , keywords =. doi:10.1093/pasj/psx066 , archivePrefix =. 1704.05858 , primaryClass =

doi arXiv
[290]

, keywords =

Gravitational lensing analysis of the Kilo-Degree Survey. , keywords =. doi:10.1093/mnras/stv2140 , archivePrefix =. 1507.00738 , primaryClass =

doi arXiv
[291]

Planck 2018 results. VI. Cosmological parameters. , keywords =. doi:10.1051/0004-6361/201833910 , archivePrefix =. 1807.06209 , primaryClass =

2018 doi arXiv
[292]

Astroparticle Physics , keywords =

Cosmology Intertwined III: f _ 8 and S _ 8. Astroparticle Physics , keywords =. doi:10.1016/j.astropartphys.2021.102604 , archivePrefix =. 2008.11285 , primaryClass =

2021 doi
[293]

A roadmap to cosmological parameter analysis with third-order shear statistics. I. Modelling and validation. , keywords =. doi:10.1051/0004-6361/202244820 , archivePrefix =. 2208.11686 , primaryClass =

doi
[294]

, keywords =

Self-calibration of weak lensing systematic effects using combined two- and three-point statistics. , keywords =. doi:10.1093/mnras/stab413 , archivePrefix =. 2010.00614 , primaryClass =

2010 doi
[295]

, keywords =

Third-order intrinsic alignment of SDSS BOSS LOWZ galaxies. , keywords =. doi:10.1051/0004-6361/202451032 , archivePrefix =. 2406.05122 , primaryClass =

doi
[296]

, keywords =

Euclid: An emulator for baryonic effects on the matter bispectrum. , keywords =. doi:10.1051/0004-6361/202556061 , archivePrefix =. 2506.18974 , primaryClass =

doi
[297]

, keywords =

Dark Energy Survey Year 3 Results: Cosmological constraints from second- and third-order shear statistics. , keywords =. doi:10.1103/sxlz-t9gb , archivePrefix =. 2508.14018 , primaryClass =

doi
[298]

, keywords =

Cosmology from a joint analysis of second- and third-order shear statistics with Subaru Hyper Suprime-Cam Year 3 data. , keywords =. doi:10.1103/6wk9-q5gh , archivePrefix =. 2508.14019 , primaryClass =

doi
[299]

, keywords =

KiDS-Legacy: Consistency of cosmic shear measurements and joint cosmological constraints with external probes. , keywords =. doi:10.1051/0004-6361/202554893 , archivePrefix =. 2503.19442 , primaryClass =

doi
[300]

, keywords =

COSEBIs: Extracting the full E-/B-mode information from cosmic shear correlation functions. , keywords =. doi:10.1051/0004-6361/201014235 , archivePrefix =. 1002.2136 , primaryClass =

doi arXiv

Pith tools

Reviewed June 27, 2026 · model on record in the stance chip above.

[1] [1]

A&A, in press (Euclid Q1 SI),

Euclid: Quick Data Release (Q1) -- The connection between galaxy close encounters and radio activity. A&A, in press (Euclid Q1 SI),

[2] [2]

A&A, in press (Euclid Q1 SI),

Euclid: Quick Data Release (Q1) – Secondary nuclei in early-type galaxies. A&A, in press (Euclid Q1 SI),

[3] [3]

Euclid Quick Data Release (Q1). XXXVII. Searching for giant gravitational arcs in galaxy clusters with mask region-based convolutional neural networks. A&A, in press,

[4] [4]

Quenching precedes bulge formation in dense environments but follows it in the field

Euclid Quick Data Release (Q1). Quenching precedes bulge formation in dense environments but follows it in the field. A&A, in press (Euclid Q1 SI),

[5] [5]

The average far-infrared properties of Euclid-selected star-forming galaxies

Euclid Quick Data Release (Q1). The average far-infrared properties of Euclid-selected star-forming galaxies. A&A, in press (Euclid Q1 SI),

[6] [6]

Spectroscopic unveiling of highly ionised lines at z = 2.48--3.88

Euclid Quick Data Release (Q1). Spectroscopic unveiling of highly ionised lines at z = 2.48--3.88. A&A, submitted (Euclid Q1 SI) , keywords =

[7] [7]

Hunting for luminous z > 6 galaxies in the Euclid Deep Fields – forecasts and first bright detections

Euclid Quick Data Release (Q1). Hunting for luminous z > 6 galaxies in the Euclid Deep Fields – forecasts and first bright detections. A&A, in press (Euclid Q1 SI),

[8] [8]

A&A, accepted (Euclid Q1 SI) , keywords =

Euclid Quick Data Release (Q1) - Data release overview. A&A, accepted (Euclid Q1 SI) , keywords =