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Euclid preparation
R. Barnett
,
S. J. Warren
,
D. J. Mortlock
,
J.-G. Cuby
,
C. Conselice
et al.
Journal articles
cea-02334278v1
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Euclid preparation
H. Bretonnière
,
M. Huertas-Company
,
A. Boucaud
,
F. Lanusse
,
E. Jullo
et al.
Journal articles
hal-03533669v1
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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.
Journal articles
cea-02166503v1
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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: Forecasts from the void-lensing cross-correlation
M. Bonici
,
C. Carbone
,
S. Davini
,
P. Vielzeuf
,
L. Paganin
et al.
Astron.Astrophys., 2023, 670, pp.A47
Journal articles
hal-03737493v1
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Euclid: Modelling massive neutrinos in cosmology – a code comparison
J. Adamek
,
R.E. Angulo
,
C. Arnold
,
M. Baldi
,
M. Biagetti
et al.
2022
Preprints, Working Papers, ...
hal-03892198v1
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Mass, velocity anisotropy, and pseudo phase-space density profiles of Abell 2142
E. Munari
,
A. Biviano
,
G. A. Mamon
Journal articles
insu-03645623v1
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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: Calibrating photometric redshifts with spectroscopic cross-correlations
K. Naidoo
,
H. Johnston
,
B. Joachimi
,
J.L. van den Busch
,
H. Hildebrandt
et al.
Astron.Astrophys., 2023, 670, pp.A149
Journal articles
hal-03772761v1
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Euclid : Effects of sample covariance on the number counts of galaxy clusters
A. Fumagalli
,
A. Saro
,
S. Borgani
,
T. Castro
,
M. Costanzi
et al.
Journal articles
hal-03210469v1
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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. 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
G. Desprez
,
S. Paltani
,
J. Coupon
,
I. Almosallam
,
A. Alvarez-Ayllon
et al.
Journal articles
hal-03026946v1
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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. 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: 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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CLASH-VLT: A highly precise strong lensing model of the galaxy cluster RXC J2248.7−4431 (Abell S1063) and prospects for cosmography
G. B. Caminha
,
C. Grillo
,
P. Rosati
,
I. Balestra
,
W. Karman
et al.
Journal articles
cea-01430189v1
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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.
Journal articles
hal-03601240v1
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Mass, velocity anisotropy, and pseudo phase-space density profiles of Abell 2142 (Corrigendum)
E. Munari
,
A. Biviano
,
G. A. Mamon
Journal articles
insu-03644775v1
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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: Forecasts from redshift-space distortions and the Alcock-Paczynski test with cosmic voids
N. Hamaus
,
M. Aubert
,
A. Pisani
,
S. Contarini
,
G. Verza
et al.
Journal articles
hal-03426564v1
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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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