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authFullName_s : S. Casas

Euclid: Testing the Copernican principle with next-generation surveys

D. Camarena , V. Marra , Z. Sakr , S. Nesseris , A. da Silva et al.
Astron.Astrophys., 2023, 671, pp.A68
Journal articles hal-03758826v1
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Euclid: Impact of non-linear and baryonic feedback prescriptions on cosmological parameter estimation from weak lensing cosmic shear

M. Martinelli , I. Tutusaus , M. Archidiacono , S. Camera , V.F. Cardone et al.
Astron.Astrophys., 2021, 649, pp.A100. ⟨10.1051/0004-6361/202039835⟩
Journal articles hal-02999590v1

Euclid Preparation. XIV. The Complete Calibration of the Color–Redshift Relation (C3R2) Survey: Data Release 3

S. Stanford , D. Masters , B. Darvish , D. Stern , J. Cohen et al.
The Astrophysical Journal Supplement, 2021, 256 (1), pp.9. ⟨10.3847/1538-4365/ac0833⟩
Journal articles hal-03413175v1
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Euclid preparation: XXII. Selection of Quiescent Galaxies from Mock Photometry using Machine Learning

A. Humphrey , L. Bisigello , P. A. C. Cunha , M. Bolzonella , S. Fotopoulou et al.
Astronomy and Astrophysics - A&A, 2023, 671, pp.A99. ⟨10.1051/0004-6361/202244307⟩
Journal articles hal-03866216v1

Euclid preparation. XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey (Corrigendum)

S. E. van Mierlo , K. I. Caputi , M. Ashby , H. Atek , M. Bolzonella et al.
Astronomy and Astrophysics - A&A, 2022, 668, pp.C3. ⟨10.1051/0004-6361/202243950e⟩
Journal articles hal-03935710v1
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Euclid preparation

A. Blanchard , S. Camera , C. Carbone , V. F. Cardone , S. Casas et al.
Astronomy and Astrophysics - A&A, 2020, 642, pp.A191. ⟨10.1051/0004-6361/202038071⟩
Journal articles hal-02976446v1

Euclid: Forecasts for $k$-cut $3 \times 2$ Point Statistics

P.L. Taylor , T. Kitching , V.F. Cardone , A. Ferté , E.M. Huff et al.
Open J.Astrophys., 2021, 4 (1), pp.6. ⟨10.21105/astro.2012.04672⟩
Journal articles hal-03129526v1
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Euclid preparation

S. Ilić , N. Aghanim , C. Baccigalupi , J. R. Bermejo-Climent , G. Fabbian et al.
Astronomy and Astrophysics - A&A, 2022, 657, pp.A91. ⟨10.1051/0004-6361/202141556⟩
Journal articles hal-03533670v1

Euclid Preparation XXIX: Forecasts for 10 different higher-order weak lensing statistics

V. Ajani , M. Baldi , A. Barthelemy , A. Boyle , P. Burger et al.
2023
Preprints, Working Papers, ... hal-03986111v1

Testing fundamental cosmological assumptions with Euclid

M. Martinelli , C.J A.P. Martins , S. Nesseris , I. Tutusaus , A. Avgoustidis et al.
17th International Conference on Topics in Astroparticle and Underground Physics, Aug 2021, Valencia, Spain. pp.012019, ⟨10.1088/1742-6596/2156/1/012019⟩
Conference papers hal-03591416v1
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Euclid preparation

G. Desprez , S. Paltani , J. Coupon , I. Almosallam , A. Alvarez-Ayllon et al.
Astronomy and Astrophysics - A&A, 2020, 644, pp.A31. ⟨10.1051/0004-6361/202039403⟩
Journal articles hal-03026946v1

Euclid preparation. XXX. Evaluating the weak lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations

C. Giocoli , M. Meneghetti , E. Rasia , S. Borgani , G. Despali et al.
2023
Preprints, Working Papers, ... hal-03991062v1

Euclid preparation. XXVII. Covariance model validation for the 2-point correlation function of galaxy clusters

A. Fumagalli , A. Saro , S. Borgani , T. Castro , M. Costanzi et al.
2022
Preprints, Working Papers, ... hal-03892184v1
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Euclid preparation: XXI. Intermediate-redshift contaminants in the search for $z>6$ galaxies within the Euclid Deep Survey

S. van Mierlo , K. Caputi , M. Ashby , H. Atek , M. Bolzonella et al.
Astronomy and Astrophysics - A&A, 2022, 666, pp.A200. ⟨10.1051/0004-6361/202243950⟩
Journal articles hal-03866172v1
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Euclid preparation. XVI. Exploring the ultra-low surface brightness Universe with Euclid/VIS

A. Borlaff , P. Gómez-Alvarez , B. Altieri , P. Marcum , R. Vavrek et al.
Astronomy and Astrophysics - A&A, 2022, 657, pp.A92. ⟨10.1051/0004-6361/202141935⟩
Journal articles hal-03542092v2
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Euclid preparation

H. Bretonnière , M. Huertas-Company , A. Boucaud , F. Lanusse , E. Jullo et al.
Astronomy and Astrophysics - A&A, 2022, 657, pp.A90. ⟨10.1051/0004-6361/202141393⟩
Journal articles hal-03533669v1
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Euclid preparation: XIX. Impact of magnification on photometric galaxy clustering

F. Lepori , I. Tutusaus , C. Viglione , C. Bonvin , S. Camera et al.
Astronomy and Astrophysics - A&A, 2022, 662, pp.A93. ⟨10.1051/0004-6361/202142419⟩
Journal articles hal-03447630v1
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Euclid preparation

V. Guglielmo , R. Saglia , F. Castander , A. Galametz , S. Paltani et al.
Astronomy and Astrophysics - A&A, 2020, 642, pp.A192. ⟨10.1051/0004-6361/202038334⟩
Journal articles hal-03026941v1
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Euclid: The reduced shear approximation and magnification bias for Stage IV cosmic shear experiments

A. C. Deshpande , T. D. Kitching , V. F. Cardone , P. L. Taylor , S. Casas et al.
Astronomy and Astrophysics - A&A, 2020, 636, pp.A95. ⟨10.1051/0004-6361/201937323⟩
Journal articles cea-02556270v1
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Validating the Fisher approach for stage IV spectroscopic surveys

D. Sapone , S. Yahia-Cherif , I. Tutusaus , A. Blanchard , S. Camera et al.
Astron.Astrophys., 2021, 649, pp.A52. ⟨10.1051/0004-6361/201937312⟩
Journal articles hal-02905949v1
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Euclid preparation - XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses

A. Pocino , I. Tutusaus , F.J. Castander , P. Fosalba , M. Crocce et al.
Astron.Astrophys., 2021, 655, pp.A44. ⟨10.1051/0004-6361/202141061⟩
Journal articles hal-03217522v1
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Euclid preparation - I. The Euclid Wide Survey

R. Scaramella , J. Amiaux , Y. Mellier , C. Burigana , C. Carvalho et al.
Astronomy and Astrophysics - A&A, 2022, 662, pp.A112. ⟨10.1051/0004-6361/202141938⟩
Journal articles hal-03866201v2

Euclid preparation. XXV. The Euclid Morphology Challenge -- Towards model-fitting photometry for billions of galaxies

E. Merlin , M. Castellano , H. Bretonnière , M. Huertas-Company , U. Kuchner et al.
Astron.Astrophys., 2023, 671, pp.A101
Journal articles hal-03841758v1

Euclid preparation XXVI: The Euclid Morphology Challenge. Towards structural parameters for billions of galaxies

H. Bretonnière , U. Kuchner , M. Huertas-Company , E. Merlin , M. Castellano et al.
Astron.Astrophys., 2023, 671, pp.A102
Journal articles hal-03841727v1

Euclid preparation: XVIII. Cosmic Dawn Survey. Spitzer observations of the Euclid deep fields and calibration fields

Andrea Moneti , H. J. Mccracken , M. Shuntov , O. B. Kauffmann , P. Capak et al.
2021
Preprints, Working Papers, ... hal-03451656v1

Euclid preparation: IX. EuclidEmulator2 -- Power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations

Euclid Collaboration , M. Knabenhans , J. Stadel , D. Potter , J. Dakin et al.
2020
Preprints, Working Papers, ... hal-03027400v1

Euclid preparation: XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images

L. Bisigello , C. J. Conselice , M. Baes , M. Bolzonella , M. Brescia et al.
2022
Preprints, Working Papers, ... hal-03866380v1

$Euclid$: The importance of galaxy clustering and weak lensing cross-correlations within the photometric $Euclid$ survey

I. Tutusaus , M. Martinelli , V.F. Cardone , S. Camera , S. Yahia-Cherif et al.
Astron.Astrophys., 2020, 643, pp.A70. ⟨10.1051/0004-6361/202038313⟩
Journal articles hal-02634687v1

Euclid preparation - XVIII. The NISP photometric system

M. Schirmer , K. Jahnke , G. Seidel , H. Aussel , C. Bodendorf et al.
Astron.Astrophys., 2022, 662, pp.A92. ⟨10.1051/0004-6361/202142897⟩
Journal articles hal-03613681v1
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Euclid: Constraining dark energy coupled to electromagnetism using astrophysical and laboratory data

M. Martinelli , C.J.A.P. Martins , S. Nesseris , I. Tutusaus , A. Blanchard et al.
Astron.Astrophys., 2021, 654, pp.A148. ⟨10.1051/0004-6361/202141353⟩
Journal articles hal-03248322v1