List of resources for Astronomy Data Science
An awesome list of resources for astronomers interested in Data Science. Everyone is invited to contribute by pull request.
Table of Contents
Books
Blogs
Twitter
People who work in this space and are occasionally active on Twitter:
Popular websites
In the following, be critical, not all articles are written by specialists. Some are also experiements and others are just for fun.
Courses
Repositories
Libraries
- Astronomaly A flexible framework for anomaly detection in astronomy.
Tutorials
Course and Workshop Materials
- Astro Hack Week tutorial materials: 2015, 2016, 2017, 2018, 2019, 2020. Also see YouTube for recordings of some events: 2015, 2016, 2020
- Code/Astro Workshop Workshop materials by Jason Wang. A Software Engineering Workshop for Astronomy.
- ESCAPE data science summer school 2021 Materials on software development and open science by the European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures project.
- Foundations of Astronomical Data Science Carpentries Curriculum
- Kavli 2019 Summer Program in Astrophysics Lectures by David Kirkby. Machine Learning in the era of large astronomical surveys.
- GROWTH Astronomy School 2019: a school on multi-messenger time domain astronomy
- Machine Learning and Statistics for Physicists by David Kirby. Material for a UC Irvine course offered by the Department of Physics and Astronomy.
- Analytical Methods and Applications to Astrophysics and Astronomy, Statistical and Applied Mathematical Sciences Institute (SAMSI), 2016
- Time Series Methods for Astronomy, Statistical and Applied Mathematical Sciences Institute (SAMSI), 2017
- Big Data Physics: Methods of Machine Learning by Gordon Richards at Drexel University; lots of useful links in the readme.
- Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca by Davide Gerosa
- Machine Learning for Physics and Astronomy (2022-2023) by Juan Rojo, Tanjona Rabemananjara and Ryan van Mastrigt
- Big Data in Astrophysics, Spring 2023 by Michael Coughlin and Jie Ding, University of Minnesota
- ASTR 596: Fundamentals of Data Science, Spring 2023 by Gautham Narayan, University of Illinois Urbana Champaign
- Astrostatistics, Vanderbuilt, Spring 2022 by Stephen R. Taylor
- La Serena School for Data Science, 2023
GitHub Orgs
Other
- Deep Skies A community that fosters knowledge transfer for the accelerated application of artificial intelligence to astronomical challenges.
- ML Club An online discussion on Machine Learning
for astrophysicists. Slides and recordings of events from 2018 to 2021. Currently on hiatus.
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License
See LICENSE.