Radio Astronomy with Python

Explore radio astronomy techniques using Python in this 19-minute conference talk from EuroPython 2020. Dive into the world of high-redshift observations and their importance in cosmology studies. Learn how these observations allow scientists to investigate phenomena such as galaxy power spectra, clustering, and Baryon Acoustic Oscillations. Discover the challenges of processing large astronomical datasets and the methods used to estimate photometric redshifts. Compare model-driven and data-driven analysis approaches, with a focus on machine learning techniques like Gaussian processes (GPz) and neural networks (ANNz2). Gain insights into how Python software is utilized to tackle complex astronomical problems and advance our understanding of the universe. Recommended for those with a background in machine learning and basic mathematics.