5 upvotes, 1 direct replies (showing 1)
Thanks for the question! I'd say the most accessible place to start with machine learning and cosmology is N-body simulations. These are large lattice simulations that are essentially virtual boxes with millions of particles in them, and the motion of these particles is calculated using state of the art code and machines. Using these simulations, we can make a lot of predictions about what the large scale structure of our universe should look like, and there are so many other useful applications.
The nice thing is that there are a lot of publicly availably N-body simulations that you can start working with right away! One project that comes to mind is CAMELS[1], I've included a link there to their home page, and here is a link[2] to their documentation.
1: https://www.camel-simulations.org/
2: https://camels.readthedocs.io/en/latest/
There is also a lot of machine learning applications in Astronomy, which more and more with time is entering an era of Big Data, and machine learning will be an essential tool for processing all this data. A great place to start with this is the Sloan Digital Sky Survey (SDSS)[3]. They host one of the world's biggest photometric catalogs of the night sky, and it's all publicly available for use. Hope that helps!
Comment by Gray_Fox at 16/07/2022 at 18:59 UTC
1 upvotes, 0 direct replies
amazing, thank you!!