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authFullName_s : L. Moscardini
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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.
Astron.Astrophys., 2021, 652, pp.A21. ⟨10.1051/0004-6361/202140592⟩
Journal articles hal-03210469v1
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Euclid : Constraining ensemble photometric redshift distributions with stacked spectroscopy

M. Cagliari , B. Granett , L. Guzzo , M. Bolzonella , L. Pozzetti et al.
Astronomy and Astrophysics - A&A, 2022, 660, pp.A9. ⟨10.1051/0004-6361/202142224⟩
Journal articles hal-03664785v1

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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Clustering-based redshift estimation: application to VIPERS/CFHTLS

L. A. M. Tasca , R. Tojeiro , D. Vergani , A. Zanichelli , Julien Bel et al.
Monthly Notices of the Royal Astronomical Society, 2016, 462 (2), pp.1683--1696. ⟨10.1093/mnras/stw1500⟩
Journal articles hal-01440086v1

The VIMOS Public Extragalactic Redshift Survey (VIPERS) Never mind the gaps: comparing techniques to restore homogeneous sky coverage

B. R. Granett , E. Branchini , F. Marulli , A. Iovino , L. Moscardini et al.
Astronomy and Astrophysics - A&A, 2014, 565, ⟨10.1051/0004-6361/201423409⟩
Journal articles hal-01441024v1
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The VIMOS Public Extragalactic Redshift Survey (VIPERS). Star formation history of passive red galaxies

M. Siudek , K. Małek , M. Scodeggio , B. Garilli , A. Pollo et al.
Astronomy and Astrophysics - A&A, 2017, 597, ⟨10.1051/0004-6361/201628951⟩
Journal articles insu-03666226v1
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Realistic simulations of gravitational lensing by galaxy clusters: extracting arc parameters from mock DUNE images

M. Meneghetti , P. Melchior , A. Grazian , G. de Lucia , K. Dolag et al.
Astronomy and Astrophysics - A&A, 2008, 482, pp.403-418. ⟨10.1051/0004-6361:20079119⟩
Journal articles hal-03646455v1
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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
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The VIMOS Public Extragalactic Redshift Survey (VIPERS). The decline of cosmic star formation: quenching, mass, and environment connections

O. Cucciati , I. Davidzon , M. Bolzonella , B.R. Granett , G. de Lucia et al.
Astron.Astrophys., 2017, 602, pp.A15. ⟨10.1051/0004-6361/201630113⟩
Journal articles hal-01582395v1
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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

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: Identification of asteroid streaks in simulated images using StreakDet software

M. Pöntinen , M. Granvik , A.A. Nucita , L. Conversi , B. Altieri et al.
Astronomy and Astrophysics - A&A, 2020, 644, pp.A35. ⟨10.1051/0004-6361/202037765⟩
Journal articles hal-03098892v1
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The VIMOS Public Extragalactic Redshift Survey (VIPERS). The distinct build-up of dense and normal massive passive galaxies

A. Gargiulo , M. Bolzonella , M. Scodeggio , J. Krywult , G. de Lucia et al.
Astronomy and Astrophysics - A&A, 2017, 606, pp.A113. ⟨10.1051/0004-6361/201630112⟩
Journal articles hal-01662060v1

The VIMOS Public Extragalactic Redshift Survey (VIPERS) : A quiescent formation of massive red-sequence galaxies over the past 9 Gyr

A. Fritz , M. Scodeggio , O. Ilbert , M. Bolzonella , I. Davidzon et al.
Astronomy and Astrophysics - A&A, 2014, 563, pp.A92. ⟨10.1051/0004-6361/201322379⟩
Journal articles hal-01113733v1

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 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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The VIMOS Public Extragalactic Redshift Survey (VIPERS)

M. Siudek , Kasia Małek , A. Pollo , T. Krakowski , A. Iovino et al.
Astronomy and Astrophysics - A&A, 2018, 617, pp.A70. ⟨10.1051/0004-6361/201832784⟩
Journal articles hal-02110535v1
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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
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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: 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

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 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

EDGE: Explorer of diffuse emission and gamma-ray burst explosions

L. Piro , J. W. den Herder , T. Ohashi , L. Amati , J. L. Atteia et al.
Experimental Astronomy, 2009, 23, pp.67-89. ⟨10.1007/S10686-008-9092-Y⟩
Journal articles hal-00390578v1

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