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:

  • Statistics & Signal Processing: Develop new methods for analyzing astronomical data, and especially in cosmology where the needs of powerful statistical methods are very important.
  • Cosmology: Analyze and interpret data.
  • Projects: Participation to important astronomical projects such as Euclid, etc.
  • Teaching: Teach students and young researchers how to analyze astronomical data.
  • Dissemination: Take opportunity to disseminate our idea, tools and products  in and outside the astronomical field (CEA, CNRS, University, Industry...).
  • Diversity: Host a diverse group of researchers from all around the world.

From 2012 to 2018, the activity has been mainly driven by two international projects, PLANCK and Euclid, with a increasing involvement with time in Euclid.

 

 


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Research | Projects | People


 

CosmoStat News

Checkout all the latest CosmoStat news, events and publications

 

PySAP: Python Sparse Data Analysis Package for Multidisciplinary Image Processing

  Authors: S. Farrens, A. Grigis, L. El Gueddari, Z. Ramzi, Chaithya G. R., S. Starck, B. Sarthou, H. Cherkaoui,...
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PySAP: Python Sparse Data Analysis Package for Multidisciplinary Image Processing

Euclid: Reconstruction of weak-lensing mass maps for non-Gaussianity studies

Euclid: Reconstruction of weak-lensing mass maps for non-Gaussianity studies Authors: S. Pires, V. Vandenbussche, V. Kansal, R. Bender, L. Blot,...
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Euclid: Reconstruction of weak-lensing mass maps for non-Gaussianity studies

Euclid : un subtil amalgame pour un résultat cosmologique plus précis

Au terme de trois années de travail, une équipe de la collaboration Euclid, coordonnée par l'Irfu, dévoile une nouvelle méthode...
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Euclid : un subtil amalgame pour un résultat cosmologique plus précis

La quête de l’origine de l’accélération cosmique

Déterminer la cause de l’accélération cosmique est l’un des grands défis de la cosmologie. S’agit-il d’une constante (ΛCDM) ou d’un...
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La quête de l’origine de l’accélération cosmique

Du machine learning dans l’espace

Clefs CEA n°69 - L'intelligence Artificielle, Novembre 2019. En astrophysique, à l’instar de nombreux autres domaines scientifiques, le machine learning est...
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Du machine learning dans l’espace

 


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.