| Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing TMC Abbott, M Aguena, A Alarcon, S Allam, O Alves, A Amon, ... Physical Review D 105 (2), 023520, 2022 | 719 | 2022 |
| The DESI experiment part I: science, targeting, and survey design A Aghamousa, J Aguilar, S Ahlen, S Alam, LE Allen, CA Prieto, J Annis, ... arXiv preprint arXiv:1611.00036, 2016 | 634* | 2016 |
| Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty LF Secco, S Samuroff, E Krause, B Jain, J Blazek, M Raveri, A Campos, ... Physical Review D 105 (2), 023515, 2022 | 259 | 2022 |
| Dark Energy Survey Year 1 results: curved-sky weak lensing mass map C Chang, A Pujol, B Mawdsley, D Bacon, J Elvin-Poole, P Melchior, ... Monthly Notices of the Royal Astronomical Society 475 (3), 3165-3190, 2018 | 103 | 2018 |
| Likelihood-free inference with neural compression of DES SV weak lensing map statistics N Jeffrey, J Alsing, F Lanusse Monthly Notices of the Royal Astronomical Society 501 (1), 954-969, 2021 | 89 | 2021 |
| Dark Energy Survey Year 3 results: Curved-sky weak lensing mass map reconstruction N Jeffrey, M Gatti, C Chang, L Whiteway, U Demirbozan, A Kovács, ... Monthly Notices of the Royal Astronomical Society 505 (3), 4626-4645, 2021 | 79 | 2021 |
| Dark Energy Survey Year 3 results: Constraints on extensions to with weak lensing and galaxy clustering TMC Abbott, M Aguena, A Alarcon, O Alves, A Amon, F Andrade-Oliveira, ... Physical Review D 107 (8), 083504, 2023 | 63 | 2023 |
| The DESI experiment part II: instrument design A Aghamousa, J Aguilar, S Ahlen, S Alam, LE Allen, CA Prieto, J Annis, ... arXiv preprint arXiv:1611.00037, 2016 | 55 | 2016 |
| Rediscovering orbital mechanics with machine learning P Lemos, N Jeffrey, M Cranmer, S Ho, P Battaglia Machine Learning: Science and Technology 4 (4), 045002, 2023 | 52 | 2023 |
| Dark Energy Survey Year 3 results: cosmology with moments of weak lensing mass maps–validation on simulations M Gatti, C Chang, O Friedrich, B Jain, D Bacon, M Crocce, J DeRose, ... Monthly Notices of the Royal Astronomical Society 498 (3), 4060-4087, 2020 | 52 | 2020 |
| Dark energy survey year 3 results: cosmological constraints from the analysis of cosmic shear in harmonic space C Doux, B Jain, D Zeurcher, J Lee, X Fang, R Rosenfeld, A Amon, ... Monthly Notices of the Royal Astronomical Society 515 (2), 1942-1972, 2022 | 51 | 2022 |
| Dark energy survey year 3 results: Cosmology with peaks using an emulator approach D Zürcher, J Fluri, R Sgier, T Kacprzak, M Gatti, C Doux, L Whiteway, ... Monthly Notices of the Royal Astronomical Society 511 (2), 2075-2104, 2022 | 51 | 2022 |
| Deep learning dark matter map reconstructions from DES SV weak lensing data N Jeffrey, F Lanusse, O Lahav, JL Starck Monthly Notices of the Royal Astronomical Society 492 (4), 5023-5029, 2020 | 50 | 2020 |
| Improving weak lensing mass map reconstructions using Gaussian and sparsity priors: application to DES SV N Jeffrey, FB Abdalla, O Lahav, F Lanusse, JL Starck, A Leonard, D Kirk, ... Monthly Notices of the Royal Astronomical Society 479 (3), 2871-2888, 2018 | 49 | 2018 |
| Dark Energy Survey Year 3 results: Cosmology with moments of weak lensing mass maps M Gatti, B Jain, C Chang, M Raveri, D Zürcher, L Secco, L Whiteway, ... Physical Review D 106 (8), 083509, 2022 | 39 | 2022 |
| Constraining the baryonic feedback with cosmic shear using the DES Year-3 small-scale measurements A Chen, G Aricò, D Huterer, RE Angulo, N Weaverdyck, O Friedrich, ... Monthly Notices of the Royal Astronomical Society 518 (4), 5340-5355, 2023 | 31 | 2023 |
| Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks N Jeffrey, BD Wandelt arXiv preprint arXiv:2011.05991, 2020 | 31 | 2020 |
| The DES view of the Eridanus supervoid and the CMB cold spot A Kovács, N Jeffrey, M Gatti, C Chang, L Whiteway, N Hamaus, O Lahav, ... Monthly Notices of the Royal Astronomical Society 510 (1), 216-229, 2022 | 29 | 2022 |
| Sum of the masses of the Milky Way and M31: A likelihood-free inference approach P Lemos, N Jeffrey, L Whiteway, O Lahav, I Noam Libeskind, Y Hoffman Physical Review D 103 (2), 023009, 2021 | 28 | 2021 |
| A new approach for the statistical denoising of Planck interstellar dust polarization data B Regaldo-Saint Blancard, E Allys, F Boulanger, F Levrier, N Jeffrey Astronomy & Astrophysics 649, L18, 2021 | 25 | 2021 |
François LanusseCNRS ResearcherVerified email at cea.fr
