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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

R. Barnett , S. J. Warren , D. J. Mortlock , J.-G. Cuby , C. Conselice et al.
Astronomy and Astrophysics - A&A, 2019, 631, pp.A85. ⟨10.1051/0004-6361/201936427⟩
Journal articles cea-02334278v1
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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
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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: Cosmological forecasts from the void size function

S. Contarini , G. Verza , A. Pisani , N. Hamaus , M. Sahlén et al.
Astron.Astrophys., 2022, 667, pp.A162. ⟨10.1051/0004-6361/202244095⟩
Journal articles hal-03691899v1
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Deep transfer learning for blended source identification in galaxy survey data

S. Farrens , A. Lacan , A. Guinot , A. Z. Vitorelli
Astronomy and Astrophysics - A&A, 2022, 657, pp.A98. ⟨10.1051/0004-6361/202141166⟩
Journal articles hal-03533667v1
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Euclid preparation. III. Galaxy cluster detection in the wide photometric survey, performance and algorithm selection

R. Adam , M. Vannier , S. Maurogordato , A. Biviano , C. Adami et al.
Astronomy and Astrophysics - A&A, 2019, 627, pp.A23. ⟨10.1051/0004-6361/201935088⟩
Journal articles cea-02166503v1

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

P. Paykari , T. Kitching , H. Hoekstra , R. Azzollini , V. F. Cardone et al.
Astronomy and Astrophysics - A&A, 2020, 635, pp.A139. ⟨10.1051/0004-6361/201936980⟩
Journal articles cea-02516435v1
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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-03542092v1
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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
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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

Euclid preparation: XVI. Exploring the ultra low-surface brightness Universe with Euclid/VIS

A. S. Borlaff , P. Gómez-Alvarez , B. Altieri , P. M. Marcum , R. Vavrek et al.
2021
Preprints, Working Papers, ... hal-03447647v1
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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: Covariance of weak lensing pseudo-Cℓ estimates - Calculation, comparison to simulations, and dependence on survey geometry

R.E. Upham , M.L. Brown , L. Whittaker , A. Amara , N. Auricchio et al.
Astron.Astrophys., 2022, 660, pp.A114. ⟨10.1051/0004-6361/202142908⟩
Journal articles hal-03601240v1
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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

Euclid: Searching for pair-instability supernovae with the Deep Survey

T.J. Moriya , C. Inserra , M. Tanaka , E. Cappellaro , M. Della Valle et al.
Astron.Astrophys., 2022, 666, pp.A157. ⟨10.1051/0004-6361/202243810⟩
Journal articles hal-03661327v1

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: Forecast constraints on consistency tests of the ΛCDM model

S. Nesseris , D. Sapone , M. Martinelli , D. Camarena , V. Marra et al.
Astron.Astrophys., 2022, 660, pp.A67. ⟨10.1051/0004-6361/202142503⟩
Journal articles hal-03604398v1

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
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Euclid preparation. XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography

O. Ilbert , S. de La Torre , N. Martinet , A. H. Wright , S. Paltani et al.
Astronomy and Astrophysics - A&A, 2021, 647, pp.A117. ⟨10.1051/0004-6361/202040237⟩
Journal articles hal-03174105v1
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Euclid preparation. XVII. Cosmic Dawn Survey: Spitzer Space Telescope observations of the Euclid deep fields and calibration fields

A. Moneti , H. J. Mccracken , M. Shuntov , O. B. Kauffmann , P. Capak et al.
Astronomy and Astrophysics - A&A, 2022, 658, pp.A126. ⟨10.1051/0004-6361/202142361⟩
Journal articles hal-03565435v1
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Euclid preparation

P. Paykari , T. Kitching , H. Hoekstra , R. Azzollini , V. F. Cardone et al.
Astronomy and Astrophysics - A&A, 2020, 638, pp.C2. ⟨10.1051/0004-6361/201936980e⟩
Journal articles cea-02813362v1

Euclid: Fast two-point correlation function covariance through linear construction

E. Keihanen , V. Lindholm , P. Monaco , L. Blot , C. Carbone et al.
Astron.Astrophys., 2022, 666, pp.A129
Journal articles hal-03691688v1
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PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing

S. Farrens , A. Grigis , L. El Gueddari , Z. Ramzi , Chaithya G.R. et al.
Astronomy and Computing, 2020, 32, pp.100402. ⟨10.1016/j.ascom.2020.100402⟩
Journal articles hal-03491646v1