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authFullName_s : B. Gillis
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CFHTLenS: the Canada-France-Hawaii Telescope Lensing Survey - imaging data and catalogue products

T. Erben , H. Hildebrandt , L. Miller , L. van Waerbeke , C. Heymans et al.
Monthly Notices of the Royal Astronomical Society, 2013, 433, pp.2545-2563. ⟨10.1093/mnras/stt928⟩
Journal articles hal-03645501v1
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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: 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: 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: 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

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 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: 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
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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

Euclid: Cosmology forecasts from the void-galaxy cross-correlation function with reconstruction

S. Radinovic , S. Nadathur , H.-A. Winther , W.J. Percival , A. Woodfinden et al.
2023
Preprints, Working Papers, ... hal-04006508v1

PHAT: PHoto-z Accuracy Testing

H. Hildebrandt , S. Arnouts , P. Capak , L. A. Moustakas , C. Wolf et al.
Astronomy and Astrophysics - A&A, 2010, 523, ⟨10.1051/0004-6361/201014885⟩
Journal articles hal-01438925v1
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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: 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

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
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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.
Astronomy and Astrophysics - A&A, 2022, 658, pp.A20. ⟨10.1051/0004-6361/202142073⟩
Journal articles hal-03426564v1

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: 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. 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