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authFullName_s : H. Hildebrandt

THE NEXT GENERATION VIRGO CLUSTER SURVEY. XV. THE PHOTOMETRIC REDSHIFT ESTIMATION FOR BACKGROUND SOURCES

A. Raichoor , S. Mei , T. Erben , H. Hildebrandt , M. Huertas-Company et al.
The Astrophysical Journal, 2014, 797 (2), ⟨10.1088/0004-637X/797/2/102⟩
Journal articles hal-01441980v1
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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

RCS2 J232727.6-020437: AN EFFICIENT COSMIC ℡ESCOPE AT z=0.6986

A. Hoag , M. Bradac , K. H. Huang , R. E. Ryan , K. Sharon et al.
The Astrophysical Journal, 2015, 813 (1), ⟨10.1088/0004-637X/813/1/37⟩
Journal articles hal-01439787v1
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Evidence of the accelerated expansion of the Universe from weak lensing tomography with COSMOS

T. Schrabback , J. Hartlap , B. Joachimi , M. Kilbinger , P. Simon et al.
Astronomy and Astrophysics - A&A, 2010, 516, ⟨10.1051/0004-6361/200913577⟩
Journal articles hal-03646149v1

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

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. 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

GaBoDS: The Garching-Bonn Deep Survey. IV. Methods for the image reduction of multi-chip cameras demonstrated on data from the ESO Wide-Field Imager

T. Erben , M. Schirmer , J.P. Dietrich , O. Cordes , L. Haberzettl et al.
Astronomical Notes / Astronomische Nachrichten, 2005, 326, pp.432-464. ⟨10.1002/asna.200510396⟩
Journal articles hal-00388262v1
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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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CFHTLenS: mapping the large-scale structure with gravitational lensing

L. van Waerbeke , J. Benjamin , T. Erben , C. Heymans , H. Hildebrandt et al.
Monthly Notices of the Royal Astronomical Society, 2013, 433, pp.3373-3388. ⟨10.1093/mnras/stt971⟩
Journal articles hal-03645497v1
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CARS: the CFHTLS-Archive-Research Survey. I. Five-band multi-colour data from 37 sq. deg. CFHTLS-wide observations

T. Erben , H. Hildebrandt , M. Lerchster , P. Hudelot , J. Benjamin et al.
Astronomy and Astrophysics - A&A, 2009, 493, pp.1197-1222. ⟨10.1051/0004-6361:200810426⟩
Journal articles hal-03646353v1
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CFHTLenS: a Gaussian likelihood is a sufficient approximation for a cosmological analysis of third-order cosmic shear statistics

P. Simon , E. Semboloni , L. van Waerbeke , H. Hoekstra , T. Erben et al.
Monthly Notices of the Royal Astronomical Society, 2015, 449, pp.1505-1525. ⟨10.1093/mnras/stv339⟩
Journal articles insu-03644953v1

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

Spectroscopic Needs for Imaging Dark Energy Experiments

J. Newman , A. Abate , F. Abdalla , S. Allam , S. Allen et al.
Astroparticle Physics, 2015, 63, pp.81-100. ⟨10.1016/j.astropartphys.2014.06.007⟩
Journal articles in2p3-00868591v1
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Weak lensing magnification of SpARCS galaxy clusters

A. Tudorica , H. Hildebrandt , M. Tewes , H. Hoekstra , C.B. Morrison et al.
Astron.Astrophys., 2017, 608, pp.A141. ⟨10.1051/0004-6361/201731267⟩
Journal articles hal-01669437v1
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The galaxy-halo connection from a joint lensing, clustering and abundance analysis in the CFHTLenS/VIPERS field

J. Coupon , S. Arnouts , L. Van Waerbeke , T. Moutard , O. Ilbert et al.
Monthly Notices of the Royal Astronomical Society, 2015, 449 (2), pp.1352--1379. ⟨10.1093/mnras/stv276⟩
Journal articles hal-01439834v1
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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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3D cosmic shear: cosmology from CFHTLenS

T. D. Kitching , A. F. Heavens , J. Alsing , T. Erben , C. Heymans et al.
Monthly Notices of the Royal Astronomical Society, 2014, 442, pp.1326-1349. ⟨10.1093/mnras/stu934⟩
Journal articles insu-03645339v1

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 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: 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

Lensing without borders – I. A blind comparison of the amplitude of galaxy–galaxy lensing between independent imaging surveys

A. Leauthaud , A. Amon , S. Singh , D. Gruen , J.U. Lange et al.
Mon.Not.Roy.Astron.Soc., 2022, 510 (4), pp.6150-6189. ⟨10.1093/mnras/stab3586⟩
Journal articles hal-03603022v1

The PAU Survey & Euclid: Improving broad-band photometric redshifts with multi-task learning

L. Cabayol , M. Eriksen , J. Carretero , R. Casas , F.J. Castander et al.
Astron.Astrophys., 2023, 671, pp.A153
Journal articles hal-03815511v1

Euclid: Calibrating photometric redshifts with spectroscopic cross-correlations

K. Naidoo , H. Johnston , B. Joachimi , J. L. van den Busch , H. Hildebrandt et al.
2022
Preprints, Working Papers, ... hal-03866242v1

Potential scientific synergies in weak lensing studies between the CSST and Euclid space probes

D.Z. Liu , X.M. Meng , X.Z. Er , Z.H. Fan , M. Kilbinger et al.
Astron.Astrophys., 2023, 669, pp.A128
Journal articles hal-03862345v1
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Bayesian galaxy shape measurement for weak lensing surveys - III. Application to the Canada-France-Hawaii Telescope Lensing Survey

L. Miller , C. Heymans , T. D. Kitching , L. van Waerbeke , T. Erben et al.
Monthly Notices of the Royal Astronomical Society, 2013, 429, pp.2858-2880. ⟨10.1093/mnras/sts454⟩
Journal articles hal-03645594v1
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KiDS and Euclid: Cosmological implications of a pseudo angular power spectrum analysis of KiDS-1000 cosmic shear tomography

A. Loureiro , L. Whittaker , A. Spurio Mancini , B. Joachimi , A. Cuceu et al.
Astron.Astrophys., 2022, 665, pp.A56. ⟨10.1051/0004-6361/202142481⟩
Journal articles hal-03839670v1

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