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authFullName_s : C. Colodro-Conde
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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

Euclid Near Infrared Spectrometer and Photometer instrument concept and first test results obtained for different breadboards models at the end of phase C

T. Maciaszek , A. Ealet , K. Jahnke , E. Prieto , R. Barbier et al.
SPIE Conference Space Telescopes and Instrumentation 2016: Optical, Infrared, and Millimeter Wave, Jun 2016, Edinburgh, United Kingdom. pp.99040T ⟨10.1117/12.2232941⟩
Conference papers in2p3-01396843v1
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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 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

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

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-03542092v2

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

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: 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 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
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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

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.
Astronomy and Astrophysics - A&A, 2023, 671, pp.A102
Journal articles hal-03841727v1

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.
Astronomy and Astrophysics - A&A, 2023, 671, pp.A101
Journal articles hal-03841758v1

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 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 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 near infrared spectrometer and photometer instrument flight model presentation, performance, and ground calibration results summary

T. Maciaszek , A. Ealet , W. Gillard , K. Jahnke , R. Barbier et al.
SPIE Astronomical Telescopes + Instrumentation 2022, Jul 2022, Montréal, Canada. pp.121801K, ⟨10.1117/12.2630338⟩
Conference papers hal-03851416v1

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.
Monthly Notices of the Royal Astronomical Society: Letters, 2023, 520 (3), pp.3529-3548. ⟨10.1093/mnras/stac3810⟩
Journal articles insu-03947319v1
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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

Euclid preparation. XXIV. Calibration of the halo mass function in $\Lambda(\nu)$CDM cosmologies

T. Castro , A. Fumagalli , R.E. Angulo , S. Bocquet , S. Borgani et al.
Astron.Astrophys., 2023, 671, pp.A100
Journal articles hal-03778228v1