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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École Euclid 2023 Rodolphe Clédassou

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)

Machine Learning for Astrophysics 2022

Machine Learning for AstrophysicsDate:  July 22, 2022 Venue: Baltimore, MD, USA Website: https://ml4astro.github.io/icml2022/
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Machine Learning for Astrophysics 2022

Bayesian Deep Learning for Cosmology and Time Domain Astrophysics #2

Bayesian Deep Learning for Cosmology and Time Domain Astrophysics #2Date:  June 20-24, 2022 Venue: APC, Paris, France Website: https://astrodeep.net/workshop2022/  
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Bayesian Deep Learning for Cosmology and Time Domain Astrophysics #2


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

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

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

  • Machine Learning for AstrophysicsDate:  July 22, 2022 Venue: Baltimore, MD, USA Website: https://ml4astro.github.io/icml2022/

  • Bayesian Deep Learning for Cosmology and Time Domain Astrophysics #2Date:  June 20-24, 2022 Venue: APC, Paris, France Website: https://astrodeep.net/workshop2022/  

  • 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.