Francois Lanusse
Affiliations: | 2015 | CEA - Saclay |
Website:
https://www.flanusse.netGoogle:
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Publications
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Korytov D, Hearin A, Kovacs E, et al. (2019) CosmoDC2: A Synthetic Sky Catalog for Dark Energy Science with LSST Astrophysical Journal Supplement Series. 245: 26-26 |
Chisari NE, Alonso D, Krause E, et al. (2019) Core Cosmology Library: Precision Cosmological Predictions for LSST Astrophysical Journal Supplement Series. 242: 2 |
Hikage C, Oguri M, Hamana T, et al. (2019) Cosmology from cosmic shear power spectra with Subaru Hyper Suprime-Cam first-year data Publications of the Astronomical Society of Japan. 71 |
Mao YY, Kovacs E, Heitmann K, et al. (2018) DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs Astrophysical Journal Supplement Series. 234: 36-36 |
Mandelbaum R, Lanusse F, Leauthaud A, et al. (2018) Weak lensing shear calibration with simulations of the HSC survey Monthly Notices of the Royal Astronomical Society. 481: 3170-3195 |
Jeffrey N, Abdalla FB, Lahav O, et al. (2018) Improving weak lensing mass map reconstructions using Gaussian and Sparsity Priors: application to DES SV Monthly Notices of the Royal Astronomical Society. 479: 2871-2888 |
Bhowmick AK, Matteo TD, Feng Y, et al. (2018) The clustering of z > 7 galaxies: predictions from the BLUETIDES simulation Monthly Notices of the Royal Astronomical Society. 474: 5393-5405 |
Peel A, Lanusse F, Starck J. (2017) Sparse Reconstruction of the Merging A520 Cluster System The Astrophysical Journal. 847: 23 |
Mandelbaum R, Miyatake H, Hamana T, et al. (2017) The first-year shear catalog of the Subaru Hyper Suprime-Cam Subaru Strategic Program Survey Publications of the Astronomical Society of Japan. 70 |
Lanusse F, Ma Q, Li N, et al. (2017) CMU DeepLens: deep learning for automatic image-based galaxy–galaxy strong lens finding Monthly Notices of the Royal Astronomical Society. 473: 3895-3906 |