Welcome to AstroLatent, a learning journal exploring astrophysics through data, code, AI and curiosity.
What to expect
Posts here will cover querying astronomical survey data (Gaia, SDSS, DESI), applying machine learning to real astrophysical datasets, and learning professional astronomy methods — all documented as I go.
This is a notebook, not a textbook. Expect work-in-progress notes, Jupyter snippets, and honest accounts of what worked and what did not.
A personal learning journal
This is a lab notebook written for me in 6 months — when I will have forgotten how I did something. Not aimed at publication, not trying to build an audience. Just exploring topics that spark curiosity, documenting the process, learning in public.
If someone else finds it useful along the way, that is a bonus.
Stay curious.