Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Francois Lanusse"'
Autor:
Nicholas Van Alfen, Duncan Campbell, Jonathan Blazek, C. Danielle Leonard, Francois Lanusse, Andrew Hearin, Rachel Mandelbaum, The LSST Dark Energy Science Collaboration
Publikováno v:
The Open Journal of Astrophysics, Vol 7 (2024)
We extend current models of the halo occupation distribution (HOD) to include a flexible, empirical framework for the forward modeling of the intrinsic alignment (IA) of galaxies. A primary goal of this work is to produce mock galaxy catalogs for the
Externí odkaz:
https://doaj.org/article/ff9d692b358a4b08ac158a5d727c980a
Publikováno v:
Nature Reviews Physics
Nature Reviews Physics, 2022, 4 (9), pp.573-577. ⟨10.1038/s42254-022-00498-4⟩
Nature Reviews Physics, 2022, 4 (9), pp.573-577. ⟨10.1038/s42254-022-00498-4⟩
International audience
Autor:
Francois Lanusse, Marc Huertas-Company
Publikováno v:
Publ.Astron.Soc.Austral.
Publ.Astron.Soc.Austral., 2023, 40, pp.e001. ⟨10.1017/pasa.2022.55⟩
Publ.Astron.Soc.Austral., 2023, 40, pp.e001. ⟨10.1017/pasa.2022.55⟩
The amount and complexity of data delivered by modern galaxy surveys has been steadily increasing over the past years. Extracting coherent scientific information from these large and multi-modal data sets remains an open issue and data driven approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b36245957f93f3f9cd36e2f3a1e547b4
Publikováno v:
Scopus-Elsevier
Recent deep-learning models have achieved impressive prediction performance, but often sacrifice interpretability and computational efficiency. Interpretability is crucial in many disciplines, such as science and medicine, where models must be carefu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c29519eddae9e5db0bc8cc9ed73e8430
https://hal.archives-ouvertes.fr/hal-03451718
https://hal.archives-ouvertes.fr/hal-03451718
Autor:
J. Xavier Prochaska, Nesar Ramachandra, Yifei Luo, Francois Lanusse, Kate Storey-Fisher, Alexie Leauthaud, Song Huang, Marc Huertas-Company
Publikováno v:
Monthly Notices of the Royal Astronomical Society
Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2021, 508 (2), pp.2946-2963. ⟨10.1093/mnras/stab2589⟩
Monthly Notices of the Royal Astronomical Society, 2021, 508 (2), pp.2946-2963. ⟨10.1093/mnras/stab2589⟩
Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2021, 508 (2), pp.2946-2963. ⟨10.1093/mnras/stab2589⟩
Monthly Notices of the Royal Astronomical Society, 2021, 508 (2), pp.2946-2963. ⟨10.1093/mnras/stab2589⟩
The problem of anomaly detection in astronomical surveys is becoming increasingly important as data sets grow in size. We present the results of an unsupervised anomaly detection method using a Wasserstein generative adversarial network (WGAN) on nea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e822446e3a3dfbb41765b258de5362f9
http://arxiv.org/abs/2105.02434
http://arxiv.org/abs/2105.02434
Autor:
Sunayana Bhargava, Jennifer L. Marshall, David J. Brooks, Carlos Solans Sanchez, G. Tarle, Samuel Hinton, G. Gutierrez, Alexandra Amon, Peter Doel, Ami Choi, Ben Hoyle, Marco Raveri, B. Flaugher, F. Andrade-Oliveira, Jochen Weller, R. P. Rollins, H. T. Diehl, D. L. Burke, Felipe Menanteau, Alex Drlica-Wagner, J. DeRose, F. J. Castander, David Bacon, E. Suchyta, Dragan Huterer, Christopher J. Conselice, Brian Yanny, Jack Elvin-Poole, U. Demirbozan, Maria E. S. Pereira, Niall MacCrann, Keith Bechtol, Erin Sheldon, Martin Crocce, V. Scarpine, T. M. C. Abbott, Peter Melchior, D. L. Hollowood, S. Serrano, Agnès Ferté, J. De Vicente, J. Cordero, P. F. Leget, A. Campos, Eli S. Rykoff, C. Doux, Chun-Hao To, E. J. Sanchez, K. Herner, F. Paz-Chinchón, J. Carretero, Antonella Palmese, Marcos Lima, J. Myles, I. Harrison, G. Pollina, A. Roodman, David J. James, Tommaso Giannantonio, D. Zeurcher, M. A. G. Maia, M. Rodriguez-Monroy, Joe Zuntz, A. Alarcon, B. Yin, S. Allam, Robert A. Gruendl, A. Kovács, Matthew R. Becker, Pablo Fosalba, B. Mawdsley, Ashley J. Ross, S. Pandey, J. Muir, Joseph J. Mohr, Michael Troxel, I. Ferrero, Matt J. Jarvis, A. Carnero Rosell, J. McCullough, P. Vielzeuf, Yanxi Zhang, Seshadri Nadathur, M. Carrasco Kind, M. March, S. Everett, M. Smith, M. Costanzi, Jean-Luc Starck, Daniel Gruen, I. Tutusaus, Francois Lanusse, Chihway Chang, Daniel Thomas, J. Prat, L. Whiteway, F. Elsner, S. Desai, I. Sevilla-Noarbe, M. Soares-Santos, G. Giannini, W. G. Hartley, D. W. Gerdes, R. Cawthon, N. Kuropatkin, Ramon Miquel, K. D. Eckert, T. N. Varga, L. N. da Costa, J. P. Dietrich, Juan Garcia-Bellido, E. Bertin, E. M. Huff, R. Chen, Michel Aguena, Enrique Gaztanaga, R. L. C. Ogando, Bhuvnesh Jain, M Gatti, Ofer Lahav, Niall Jeffrey, Robert Morgan, L. F. Secco, Nico Hamaus, A. A. Plazas, A. Navarro-Alsina, T. Shin, T. Kacprzak, C. Davis, J. Gschwend, Gary Bernstein
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Monthly Notices of the Royal Astronomical Society
Monthly Notices of the Royal Astronomical Society, 2021, 505, pp.4626-4645. ⟨10.1093/mnras/stab1495⟩
Mon.Not.Roy.Astron.Soc.
Mon.Not.Roy.Astron.Soc., 2021, 505, pp.4626-4645. ⟨10.1093/mnras/stab1495⟩
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
DES Collaboration, Bacon, D, Mawdsley, B & Thomas, D 2021, ' Dark Energy Survey Year 3 results: curved-sky weak lensing mass map reconstruction ', Monthly Notices of the Royal Astronomical Society, vol. 505, no. 3, pp. 4626-4645 . https://doi.org/10.1093/mnras/stab1495
instname
Monthly Notices of the Royal Astronomical Society
Monthly Notices of the Royal Astronomical Society, 2021, 505, pp.4626-4645. ⟨10.1093/mnras/stab1495⟩
Mon.Not.Roy.Astron.Soc.
Mon.Not.Roy.Astron.Soc., 2021, 505, pp.4626-4645. ⟨10.1093/mnras/stab1495⟩
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
DES Collaboration, Bacon, D, Mawdsley, B & Thomas, D 2021, ' Dark Energy Survey Year 3 results: curved-sky weak lensing mass map reconstruction ', Monthly Notices of the Royal Astronomical Society, vol. 505, no. 3, pp. 4626-4645 . https://doi.org/10.1093/mnras/stab1495
Jeffrey, N., et al. DES Collaboration
We present reconstructed convergence maps, mass maps, from the Dark Energy Survey (DES) third year (Y3) weak gravitational lensing data set. The mass maps are weighted projections of the density field (prima
We present reconstructed convergence maps, mass maps, from the Dark Energy Survey (DES) third year (Y3) weak gravitational lensing data set. The mass maps are weighted projections of the density field (prima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::321054fdaeb2e1eaef6fa2ccfa76e664
http://hdl.handle.net/10261/254855
http://hdl.handle.net/10261/254855
Autor:
Thomas E. Collett, Chun-Liang Li, Quanbin Ma, Barnabás Póczos, Francois Lanusse, Siamak Ravanbakhsh, Rachel Mandelbaum, Nan Li
Publikováno v:
Lanusse, F, Ma, Q, Li, N, Collett, T E, Li, C-L, Ravanbakhsh, S, Mandelbaum, R & Poczos, B 2018, ' CMU DeepLens : deep learning for automatic image-based galaxy-galaxy strong lens finding ', Monthly Notices of the Royal Astronomical Society, vol. 473, no. 3, pp. 3895–3906 . https://doi.org/10.1093/mnras/stx1665
Galaxy-scale strong gravitational lensing is not only a valuable probe of the dark matter distribution of massive galaxies, but can also provide valuable cosmological constraints, either by studying the population of strong lenses or by measuring tim
Autor:
Dan Sholler, Sara Stoudt, Chris J. Kennedy, Fernando Hoces de la Guardia, Francois Lanusse, Karthik Ram, Kellie Ottoboni, Marla Stuart, Maryam Vareth, Nelle Varoquaux, Rebecca Barter, R. Stuart Geiger, Scott Peterson, Stefan van der Walt
There are many recommendations of "best practices" for those doing data science, data-intensive research, and research in general. These documents usually present a particular vision of how people should work with data and computing, recommending spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::865ec1029187bcf9f1b91f76e4ea974b
https://osf.io/preprints/socarxiv/qr8cz
https://osf.io/preprints/socarxiv/qr8cz
Autor:
Eric Jullo, Manuel Blanco Valentin, Crescenzo Tortora, Alessandro Sonnenfeld, Emmanuel Bertin, F. Bellagamba, Chun-Liang Li, N. J. Jackson, Remi A. Cabanac, Francois Lanusse, G. A. Verdoes Kleijn, Frederic Courbin, Stephen Serjeant, Massimo Meneghetti, Raphael Gavazzi, Clecio R. Bom, Santiago Velasco-Forero, Quanbin Ma, G. Vernardos, Jean-Paul Kneib, Marc Huertas-Company, D. Tuccillo, Etienne Decencière, Mario Geiger, Martin Makler, R. B. Metcalf, Rémi Flamary, Camille Avestruz, Nan Li, Luitje Koopmans, A. Davies, Christoph Schäfer, P. Hartley, C. Jacobs, C. E. Petrillo, M. Lightman, Amitpal S. Tagore
Publikováno v:
Astron.Astrophys.
Astron.Astrophys., 2019, 625, pp.A119. ⟨10.1051/0004-6361/201832797⟩
Astronomy and astrophysics, 625(May 2019):A119. EDP Sciences
Astronomy and Astrophysics-A&A
Astronomy and Astrophysics-A&A, 2019, 625, pp.A119. ⟨10.1051/0004-6361/201832797⟩
Astronomy and Astrophysics-A&A, EDP Sciences, 2019, 625, pp.A119. ⟨10.1051/0004-6361/201832797⟩
Astron.Astrophys., 2019, 625, pp.A119. ⟨10.1051/0004-6361/201832797⟩
Astronomy and astrophysics, 625(May 2019):A119. EDP Sciences
Astronomy and Astrophysics-A&A
Astronomy and Astrophysics-A&A, 2019, 625, pp.A119. ⟨10.1051/0004-6361/201832797⟩
Astronomy and Astrophysics-A&A, EDP Sciences, 2019, 625, pp.A119. ⟨10.1051/0004-6361/201832797⟩
Large scale imaging surveys will increase the number of galaxy-scale strong lensing candidates by maybe three orders of magnitudes beyond the number known today. Finding these rare objects will require picking them out of at least tens of millions of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac4161bc25ad827b4a4ce0741c2ce49b
https://hal.science/hal-01737876
https://hal.science/hal-01737876
Autor:
Francois Lanusse, Filipe B. Abdalla, Jean-Luc Starck, Konstantinos E. Themelis, Niall Jeffrey, Austin Peel
Publikováno v:
EUSIPCO
In this paper we present a novel method for dark matter mass mapping reconstruction from weak gravitational lensing measurements. The crux of the proposed method lies in a new modelling of the matter density field in the Universe as a mixture of two