Events

CosmoStat Events


École Euclid 2023 Rodolphe Clédassou

Date: August 15 - August 30, 2023 Venue: Ronce-les-Bains, France Website: https://ecole-euclid.cnrs.fr/2023-accueil/ ``Weak gravitational lensing''  (Le lentillage gravitationnel), cycle 2,...
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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)

École Euclid de cosmologie 2021

Date: August 16 - August 27, 2021 Venue: Anglet, France Website: https://ecole-euclid.cnrs.fr/2021-accueil/ Lecture ``Weak gravitational lensing''  (Le lentillage gravitationnel), cycle...
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École Euclid de cosmologie 2021

Cosmostat Day on Machine Learning in Astrophysics

Date: March the 5th, 2021 Organizer:  Joana Frontera-Pons  <joana.frontera-pons@cea.fr> Venue: Remote conference. Zoom link:https://esade.zoom.us/j/88535176160?pwd=RzU1cHA5Z0xrWXkyN0x1a2tJSHZ1Zz09 On March the 5th, 2021, we organize...
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CosmosClub: Ariel Sánchez (09/07/20)

CosmosClub Ariel SánchezDate: July 9th 2020, 10.00 a.m. Speaker: Ariel Sánchez (MPE Garching/ Max-Planck-Institut für extraterrestrische Physik ) Title:   Let...
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CosmosClub: Ariel Sánchez (09/07/20)


CosmoStat organises regularly tutorials, conferences and summer/winter schools. Past and forthcoming events we organise or co-organise are:


  • Date: August 15 – August 30, 2023 Venue: Ronce-les-Bains, France Website: https://ecole-euclid.cnrs.fr/2023-accueil/ “Weak gravitational lensing”  (Le lentillage gravitationnel), cycle 2, Martin Kilbinger. Find here links to the lecture notes and TD exercises. Lecture notes (pdf). TD: CFIS/UNIONS weak-lensing data analysis; cluster lensing. Please download: jupyter notebook. Planck cluster catalogue. CFIS-W3 galaxy catalogue and star-/PSF-catalogue (links

  • 10th Astronomical Data Analysis Summer School (ADA X)Date:  September 18, 2023 – September 22, 2023 Venue: Hersonissos, Crete, Greece Website:  http://ada10.cosmostat.org  

  • Date: August 16 – August 27, 2021 Venue: Anglet, France Website: https://ecole-euclid.cnrs.fr/2021-accueil/ Lecture “Weak gravitational lensing”  (Le lentillage gravitationnel), cycle 2, Martin Kilbinger. Find here links to the lecture notes, TD exercises, “tables rondes” topics, and other information. Resources. A great and detailed introduction to (weak) gravitational lensing are the 2005 Saas Fee lecture notes

  • Date: March the 5th, 2021 Organizer:  Joana Frontera-Pons  <joana.frontera-pons@cea.fr> Venue: Remote conference. Zoom link:https://esade.zoom.us/j/88535176160?pwd=RzU1cHA5Z0xrWXkyN0x1a2tJSHZ1Zz09 On March the 5th, 2021, we organize the 6th day on machine learning in astrophysics at DAp, CEA Saclay.  Program: All talks are taking place remotely 13:30 – 13:40h. Welcome message                       

  • Date: August 19 – August 31, 2019 Venue: Banyuls, Occitanie, France Website: http://ecole-euclid.cnrs.fr/accueil-session-2019 Lecture “Weak gravitational lensing” (Le lentillage gravitationnel), Martin Kilbinger. Find here links to the lecture notes, TD exercises, “tables rondes” topics, and other information. Resources. A great and detailed introduction to (weak) gravitational lensing are the 2005 Saas Fee lecture notes by

  • Dates: February, 3 – 7, 2020 Organisers:  Martin Kilbinger, … Venue: Institut d’Astrophysique de Paris (IAP),  98bis bd Arago, 75014 Paris. Local information: http://www.iap.fr/accueil/acces/acces.php?langue=en Contact: martin.kilbinger@cea.fr Registration Please add your name to the following google doc if you are planning to attend the meeting. https://docs.google.com/document/d/17Hn8Z6LH54fJDbDY2uQPtZPauZotm6IsnNC4LbBcmII/edit?usp=sharing There is no registration fee. Coffee and snacks will be

  • The workshop on Computational Intelligence in Remote Sensing and Astrophysics (CIRSA) aims at bringing together researchers from the environmental sciences, astrophysics and computer science communities in an effort to understand the potential and pitfalls of novel computational intelligence paradigms including machine learning and large-scale data processing.