Welcome to CosmoStat

 

The CosmoStat team (LCS) is composed of both cosmologists and computer scientists working together to develop new methods of statistics, signal processing, and apply them to cosmological data set. CosmoStat goals are:

From 2012 to now, the activity has been mainly driven by two international projects, PLANCK and Euclid, with an increasing involvement with time in Euclid.

 

 


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Research | Projects | People


 

CosmoStat News

Checkout all the latest CosmoStat news, events and publications

 

Machine Learning for Astrophysics 2023

Machine Learning for AstrophysicsDate:  July 29, 2023 Venue: Hawai'i, USA Website: https://ml4astro.github.io/icml2023/
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Machine Learning for Astrophysics 2023

10th Astronomical Data Analysis Summer School (ADA X)

10th Astronomical Data Analysis Summer School (ADA X)Date:  September 18, 2023 - September 22, 2023 Venue: Hersonissos, Crete, Greece Website: ...
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10th Astronomical Data Analysis Summer School (ADA X)

Rethinking data-driven point spread function modeling with a differentiable optical model

  Authors: Tobias Liaudat, Jean-Luc Starck, Martin Kilbinger, Pierre-Antoine Frugier Journal: Inverse Problems Year: 2023 DOI:   Download: ADS | arXiv...
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Deep Learning-based galaxy image deconvolution

  Authors: Utsav Akhaury, Jean-Luc Starck, Pascale Jablonka, Frédéric Courbin, Kevin Michalewicz Journal: A&A Year: 2022 DOI:   Download: ADS | arXiv Abstract With the...
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Valeria Pettorino: Making an impact in Space, Cosmos and Mentoring

Valeria’s’ fascination with the world of science first began as a young child, in part thanks to her uncle’s influence....
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Valeria Pettorino: Making an impact in Space, Cosmos and Mentoring

 


Website Credits

The CosmoStat website is a culmination of the efforts of the whole team with special thanks to Justin Burks, Marie Chicot, Samuel Farrens, Melis Irfan, Martin Kilbinger, François Lanusse, Valeria Pettorino and Morgan Schmitz.

CosmoStat logo by Birdhouse Branding.