Euclid preparation
H. Bretonnière
,
M. Huertas-Company
,
A. Boucaud
,
F. Lanusse
,
E. Jullo
et al.
Journal articles
hal-03533669v1
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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.
Journal articles
hal-02976446v1
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Euclid preparation
S. Ilić
,
N. Aghanim
,
C. Baccigalupi
,
J. R. Bermejo-Climent
,
G. Fabbian
et al.
Journal articles
hal-03533670v1
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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
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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.
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.
Journal articles
hal-03866216v1
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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.
Journal articles
hal-03935710v1
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Euclid preparation
P. Paykari
,
T. Kitching
,
H. Hoekstra
,
R. Azzollini
,
V. F. Cardone
et al.
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.
Journal articles
hal-03542092v2
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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
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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.
Journal articles
hal-03866172v1
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Euclid preparation
G. Desprez
,
S. Paltani
,
J. Coupon
,
I. Almosallam
,
A. Alvarez-Ayllon
et al.
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.
Journal articles
hal-03447630v1
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Euclid preparation
V. Guglielmo
,
R. Saglia
,
F. Castander
,
A. Galametz
,
S. Paltani
et al.
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.
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.
Journal articles
hal-03217522v1
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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
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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
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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
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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: 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
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Euclid preparation - XVIII. The NISP photometric system
M. Schirmer
,
K. Jahnke
,
G. Seidel
,
H. Aussel
,
C. Bodendorf
et al.
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.
Journal articles
hal-03565435v1
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Euclid preparation
P. Paykari
,
T. Kitching
,
H. Hoekstra
,
R. Azzollini
,
V. F. Cardone
et al.
Journal articles
cea-02813362v1
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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
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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.
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.
Journal articles
hal-03174105v1
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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
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