Mapping Dark Matter with Bayesian Neural Networks w/ Yashar Hezaveh - TWiML Talk #250
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
00:00
Data Preparation Techniques in Astronomical Research
This chapter explores the essential steps involved in collecting and preparing astronomical data, focusing on images from telescopes such as the Hubble. Key processes like removing cosmic ray interference and accounting for blurring effects are discussed to ensure precise analysis of background galaxies.
Transcript
Play full episode
