Euclid

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References

1 - Habilitation, PhD and Master Theses

[1-1]
Optimal extraction of cosmological parameters in the preparation of the Euclid survey, Sylvain Gouyou Beauchamps, 2021. Centre de Physique des Particules de Marseille, France.
[Beauchamps:2021hlq]
[1-2]
Weak lensing analysis of the Canada-France Imaging Survey : from pixels to cosmology, preparation for the Euclid mission, Axel Guinot, 2020. Institut de Recherches sur les lois Fondamentales de l'Univers, France.
[Guinot:2020jwd]

2 - Astrophysics

[2-1]
Euclid: ERO - NISP-only sources and the search for luminous $z=6-8$ galaxies, J. R. Weaver et al., Astron.Astrophys. 697 (2025) A16, arXiv:2405.13505.
[Euclid:2024lot]
[2-2]
Euclid: Early Release Observations - A preview of the Euclid era through a galaxy cluster magnifying lens, H. Atek et al., Astron.Astrophys. (2024), arXiv:2405.13504.
[Euclid:2024xic]
[2-3]
Euclid: Early Release Observations - The intracluster light and intracluster globular clusters of the Perseus cluster, M. Kluge et al., arXiv:2405.13503, 2024.
[2405.13503]
[2-4]
Euclid: Early Release Observations - Dwarf galaxies in the Perseus galaxy cluster, F. R. Marleau et al., Astron.Astrophys. 697 (2025) A12, arXiv:2405.13502.
[Euclid:2024wye]
[2-5]
Euclid: Early Release Observations - Overview of the Perseus cluster and analysis of its luminosity and stellar mass functions, J.-C. Cuillandre et al., Astron.Astrophys. 697 (2025) A11, arXiv:2405.13501.
[Euclid:2024est]
[2-6]
Euclid: Early Release Observations - Globular clusters in the Fornax galaxy cluster, from dwarf galaxies to the intracluster field, T. Saifollahi et al., Astron.Astrophys. 697 (2025) A10, arXiv:2405.13500.
[Euclid:2024znz]
[2-7]
Euclid: Early Release Observations - Deep anatomy of nearby galaxies, L. K. Hunt et al., Astron.Astrophys. 697 (2025) A9, arXiv:2405.13499.
[Euclid:2024kku]
[2-8]
Euclid: Early Release Observations - Unveiling the morphology of two Milky Way globular clusters out to their periphery, D. Massari et al., Astron.Astrophys. (2024), arXiv:2405.13498.
[Euclid:2024tfo]
[2-9]
Euclid: Early Release Observations - A glance at free-floating new-born planets in the \sigma Orionis cluster, E. L. Martin et al., Astron.Astrophys. 697 (2025) A7, arXiv:2405.13497.
[Euclid:2024tgk]
[2-10]
Euclid: Early Release Observations - Programme overview and pipeline for compact- and diffuse-emission photometry, J.-C. Cuillandre et al., Astron.Astrophys. 697 (2025) A6, arXiv:2405.13496.
[Euclid:2024mbx]

3 - Phenomenology

[3-1]
Euclid preparation. Review of forecast constraints on dark energy and modified gravity, N. Frusciante et al. (Euclid), arXiv:2512.09748, 2025.
[Euclid:2025vml]

4 - Detector

[4-1]
Euclid: Improving redshift distribution reconstruction using a deep-to-wide transfer function, Y. Kang et al., arXiv:2601.02005, 2026.
[2026arXiv260102005K]
[4-2]
Cosmology Likelihood for Observables in Euclid (CLOE). 1. Theoretical recipe, V. F. Cardone et al. (Euclid), arXiv:2510.09118, 2025.
[Euclid:2025bnp]
[4-3]
Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field, R. Pearce-Casey et al., Astron.Astrophys. 696 (2025) A214, arXiv:2411.16808.
[Euclid:2024juc]

5 - Preparation

[5-1]
Euclid preparation. Simulated galaxy catalogues for non-standard cosmological models, M. -A. Breton et al. (Euclid), arXiv:2603.13148, 2026.
[Euclid:2026vly]
[5-2]
Euclid preparation: Expected constraints on initial conditions, F. Finelli et al. (Euclid), arXiv:2507.15819, 2025.
[Euclid:2025hlc]
[5-3]
Euclid preparation. Simulations and nonlinearities beyond $\Lambda$CDM. 4. Constraints on $f(R)$ models from the photometric primary probes, K. Koyama et al. (Euclid), Astron.Astrophys. 698 (2025) A233, arXiv:2409.03524.
[Euclid:2025yud]
[5-4]
Euclid preparation. Simulations and nonlinearities beyond $\Lambda$CDM. 2. Results from non-standard simulations, G. Racz et al. (Euclid), Astron.Astrophys. 695 (2025) A232, arXiv:2409.03523.
[Euclid:2024guw]
[5-5]
Euclid preparation. Simulations and nonlinearities beyond $\Lambda$CDM. 1. Numerical methods and validation, J. Adamek et al. (Euclid), Astron.Astrophys. 695 (2025) A230, arXiv:2409.03522.
[Euclid:2024jej]
[5-6]
Euclid preparation. L. Calibration of the linear halo bias in $\Lambda(\nu)$CDM cosmologies, T. Castro et al. (Euclid), Astron.Astrophys. 691 (2024) A62, arXiv:2409.01877.
[Euclid:2024wog]
[5-7]
Euclid preparation. Sensitivity to neutrino parameters, M. Archidiacono et al. (Euclid), Astron.Astrophys. 693 (2025) A58, arXiv:2405.06047.
[Euclid:2024imf]
[5-8]
Euclid preparation. LensMC, weak lensing cosmic shear measurement with forward modelling and Markov Chain Monte Carlo sampling, G. Congedo et al. (Euclid), Astron.Astrophys. 691 (2024) A319, arXiv:2405.00669.
[Euclid:2024jtk]
[5-9]
Euclid preparation. Improving cosmological constraints using a new multi-tracer method with the spectroscopic and photometric samples, F. Dournac et al. (Euclid), Astron.Astrophys. 690 (2024) A30, arXiv:2404.12157.
[Euclid:2024vss]
[5-10]
Euclid preparation. XLII. A unified catalogue-level reanalysis of weak lensing by galaxy clusters in five imaging surveys, M. Sereno et al. (Euclid), Astron.Astrophys. 689 (2024) A252, arXiv:2404.08036.
[Euclid:2024veh]
[5-11]
Euclid preparation. Measuring detailed galaxy morphologies for Euclid with Machine Learning, B. Aussel et al. (Euclid), Astron.Astrophys. 689 (2024) A274, arXiv:2402.10187.
[Euclid:2024dru]
[5-12]
Euclid preparation. Optical emission-line predictions of intermediate-z galaxy populations in GAEA for the Euclid Deep and Wide Surveys, L. Scharre et al. (Euclid), Astron.Astrophys. 689 (2024) A276, arXiv:2402.03436.
[Euclid:2024maq]
[5-13]
Euclid preparation. The Near-IR Background Dipole Experiment with Euclid, A. Kashlinsky et al. (Euclid), Astron.Astrophys. 689 (2024) A294, arXiv:2401.17945.
[Euclid:2024wly]
[5-14]
Euclid preparation: TBD. The pre-launch Science Ground Segment simulation framework, S. Serrano et al. (Euclid), Astron.Astrophys. 690 (2024) A103, arXiv:2401.01452.
[Euclid:2024mpl]
[5-15]
Euclid preparation. TBD. Galaxy power spectrum modelling in real space, A. Pezzotta et al. (Euclid), Astron.Astrophys. 687 (2024) A216, arXiv:2312.00679.
[Euclid:2023tog]
[5-16]
Euclid Preparation. XXXVII. Galaxy colour selections with Euclid and ground photometry for cluster weak-lensing analyses, G. F. Lesci et al. (Euclid), Astron.Astrophys. 684 (2024) A139, arXiv:2311.16239.
[Euclid:2023kav]
[5-17]
Euclid preparation. Modelling spectroscopic clustering on mildly nonlinear scales in beyond-$\Lambda$CDM models, B. Bose et al. (Euclid), Astron.Astrophys. 689 (2024) A275, arXiv:2311.13529.
[Euclid:2023bgs]
[5-18]
Euclid Preparation. TBD. Impact of magnification on spectroscopic galaxy clustering, G. Jelic-Cizmek et al. (Euclid), Astron.Astrophys. 685 (2024) A167, arXiv:2311.03168.
[Euclid:2023qyw]
[5-19]
Euclid preparation. XXXIX. The effect of baryons on the Halo Mass Function, T. Castro et al. (Euclid), Astron.Astrophys. 685 (2024) A109, arXiv:2311.01465.
[Euclid:2023jih]
[5-20]
Euclid preparation. TBD. Forecast impact of super-sample covariance on 3x2pt analysis with Euclid, D. Sciotti et al. (Euclid), Astron.Astrophys. 691 (2024) A318, arXiv:2310.15731.
[Euclid:2023ove]
[5-21]
Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy, S. Paltani et al. (Euclid), Astron. Astrophys. 681 (2024) A66, arXiv:2310.14716.
[Euclid:2023boj]
[5-22]
Euclid preparation - XXXIV. The effect of linear redshift-space distortions in photometric galaxy clustering and its cross-correlation with cosmic shear, K. Tanidis et al. (Euclid), Astron. Astrophys. 683 (2024) A17, arXiv:2309.00052.
[Euclid:2023pyq]
[5-23]
Euclid preparation - XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong-lensing events, L. Leuzzi et al. (Euclid), Astron. Astrophys. 681 (2024) A68, arXiv:2307.08736.
[Euclid:2023yvn]
[5-24]
Euclid preparation. XXIX. Water ice in spacecraft part I: The physics of ice formation and contamination, M. Schirmer et al. (Euclid), Astron. Astrophys. 675 (2023) A142, arXiv:2305.10107.
[Euclid:2023tit]
[5-25]
Euclid preparation. XXVII. A UV-NIR spectral atlas of compact planetary nebulae for wavelength calibration, K. Paterson et al. (Euclid), Astron. Astrophys. 674 (2023) A172, arXiv:2303.15525.
[Euclid:2023evt]
[5-26]
Euclid preparation. XXX. Performance assessment of the NISP Red-Grism through spectroscopic simulations for the Wide and Deep surveys, L. Gabarra et al. (Euclid), Astron. Astrophys. 676 (2023) A34, arXiv:2302.09372.
[Euclid:2023hlt]
[5-27]
Euclid~preparation:~XXXVI. Modelling the weak lensing angular power spectrum, A. C. Deshpande et al. (Euclid), Astron. Astrophys. 684 (2024) A138, arXiv:2302.04507.
[Euclid:2023wdq]
[5-28]
Euclid preparation - XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations, C. Giocoli et al. (Euclid), Astron. Astrophys. 681 (2024) A67, arXiv:2302.00687.
[Euclid:2023wwb]
[5-29]
Euclid Preparation. XXVIII. Forecasts for ten different higher-order weak lensing statistics, V. Ajani et al. (Euclid), Astron. Astrophys. 675 (2023) A120, arXiv:2301.12890.
[Euclid:2023uha]
[5-30]
Euclid preparation - XXXV. Covariance model validation for the two-point correlation function of galaxy clusters, A. Fumagalli et al. (Euclid), Astron. Astrophys. 683 (2024) A253, arXiv:2211.12965.
[Euclid:2022txd]
[5-31]
Euclid preparation. XXII. Selection of quiescent galaxies from mock photometry using machine learning, A. Humphrey et al. (Euclid), Astron. Astrophys. 671 (2023) A99, arXiv:2209.13074.
[Euclid:2022ivm]
[5-32]
Euclid preparation. XXVI. The Euclid Morphology Challenge: Towards structural parameters for billions of galaxies, H. Bretonniere et al. (Euclid), Astron. Astrophys. 671 (2023) A102, arXiv:2209.12907.
[Euclid:2022vtv]
[5-33]
Euclid preparation. XXV. The Euclid Morphology Challenge: Towards model-fitting photometry for billions of galaxies, E. Merlin et al. (Euclid), Astron. Astrophys. 671 (2023) A101, arXiv:2209.12906.
[Euclid:2022hag]
[5-34]
Euclid preparation. XXIV. Calibration of the halo mass function in $\Lambda$($\nu$)CDM cosmologies, T. Castro et al. (Euclid), Astron. Astrophys. 671 (2023) A100, arXiv:2208.02174.
[Euclid:2022dbc]
[5-35]
Euclid preparation: XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images, L. Bisigello et al. (Euclid), Mon. Not. Roy. Astron. Soc. 520 (2023) 3529-3548, arXiv:2206.14944.
[Euclid:2022nbn]
[5-36]
Euclid preparation - XX. The Complete Calibration of the Color-Redshift Relation survey: LBT observations and data release, R. Saglia et al. (Euclid), Astron. Astrophys. 664 (2022) A196, arXiv:2206.01620.
[Euclid:2022frc]
[5-37]
Euclid preparation. XXI. Intermediate-redshift contaminants in the search for $z > 6$ galaxies within the Euclid Deep Survey, S. E. van Mierlo et al. (Euclid), Astron. Astrophys. 666 (2022) A200, arXiv:2205.02871. [Erratum: Astron.Astrophys. 668, C3 (2022)].
[Euclid:2022bqs]
[5-38]
Euclid preparation. XVIII. The NISP photometric system, M. Schirmer et al. (Euclid), Astron. Astrophys. 662 (2022) A92, arXiv:2203.01650.
[Euclid:2022vkk]
[5-39]
Euclid preparation. XVII. Cosmic Dawn Survey: Spitzer Space Telescope observations of the Euclid deep fields and calibration fields, Andrea Moneti et al. (Euclid), Astron. Astrophys. 658 (2022) A126, arXiv:2110.13928.
[Euclid:2021zwu]
[5-40]
Euclid preparation. XIX. Impact of magnification on photometric galaxy clustering, F. Lepori et al. (Euclid), Astron. Astrophys. 662 (2022) A93, arXiv:2110.05435.
[Euclid:2021rez]
[5-41]
Euclid preparation. XVI. Exploring the ultra-low surface brightness Universe with Euclid/VIS, A. S. Borlaff et al. (Euclid), Astron. Astrophys. 657 (2022) A92, arXiv:2108.10321.
[Euclid:2022aof]
[5-42]
Euclid preparation. I. The Euclid Wide Survey, R. Scaramella et al. (Euclid), Astron. Astrophys. 662 (2022) A112, arXiv:2108.01201.
[Euclid:2021icp]
[5-43]
Euclid Preparation. XIV. The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Data Release 3, S. A. Stanford et al. (Euclid), Astrophys. J. Supp. 256 (2021) 9, arXiv:2106.11367.
[Euclid:2021ueh]
[5-44]
Euclid preparation. XV. Forecasting cosmological constraints for the Euclid and CMB joint analysis, S. Ilic et al. (Euclid), Astron. Astrophys. 657 (2022) A91, arXiv:2106.08346.
[Euclid:2021qvm]
[5-45]
Euclid preparation. XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models, H. Bretonniere et al. (Euclid), Astron. Astrophys. 657 (2022) A90, arXiv:2105.12149.
[Euclid:2021lij]
[5-46]
Euclid preparation. XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses, A. Pocino et al. (Euclid), Astron. Astrophys. 655 (2021) A44, arXiv:2104.05698.
[Euclid:2021osj]
[5-47]
Euclid preparation. XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography, O. Ilbert et al. (Euclid), Astron. Astrophys. 647 (2021) A117, arXiv:2101.02228.
[Euclid:2021upd]
[5-48]
Euclid preparation: IX. EuclidEmulator2 - power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations, M. Knabenhans et al. (Euclid), Mon. Not. Roy. Astron. Soc. 505 (2021) 2840-2869, arXiv:2010.11288.
[Euclid:2020rfv]
[5-49]
Euclid preparation. X. The $Euclid$ photometric-redshift challenge, G. Desprez et al. (Euclid), Astron. Astrophys. 644 (2020) A31, arXiv:2009.12112.
[Euclid:2020gbk]
[5-50]
Euclid preparation. VIII. The Complete Calibration of the Colour-Redshift Relation survey: VLT/KMOS observations and data release, V. Guglielmo et al. (Euclid), Astron. Astrophys. 642 (2020) A192, arXiv:2007.02631.
[Euclid:2020xbm]
[5-51]
Euclid preparation. VI. Verifying the performance of cosmic shear experiments, P. Paykari et al. (Euclid), Astron. Astrophys. 635 (2020) A139, arXiv:1910.10521. [Erratum: Astron.Astrophys. 638, C2 (2020)].
[Euclid:2019cqp]
[5-52]
Euclid preparation. VII. Forecast validation for Euclid cosmological probes, A. Blanchard et al. (Euclid), Astron. Astrophys. 642 (2020) A191, arXiv:1910.09273.
[Euclid:2019clj]
[5-53]
Euclid preparation. V. Predicted yield of redshift $7 < z < 9$ quasars from the wide survey, R. Barnett et al. (Euclid), Astron. Astrophys. 631 (2019) A85, arXiv:1908.04310.
[Euclid:2019klp]
[5-54]
Euclid preparation. III. Galaxy cluster detection in the wide photometric survey, performance and algorithm selection, R. Adam et al. (Euclid), Astron. Astrophys. 627 (2019) A23, arXiv:1906.04707.
[Euclid:2019bue]
[5-55]
Euclid Preparation. IV. Impact of undetected galaxies on weak-lensing shear measurements, N. Martinet et al. (Euclid), Astron. Astrophys. 627 (2019) A59, arXiv:1902.00044.
[Euclid:2019wjj]
[5-56]
Euclid preparation: II. The EuclidEmulator - A tool to compute the cosmology dependence of the nonlinear matter power spectrum, Mischa Knabenhans et al. (Euclid), Mon. Not. Roy. Astron. Soc. 484 (2019) 5509-5529, arXiv:1809.04695.
[Euclid:2018mlb]

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Carlo Giunti / giunti@to.infn.it
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Last Update: Tue 21 Jul 2026, 20:30:09 CET