Explore the application of Python in Astrophysics and Cosmology through this EuroPython 2016 conference talk. Discover how the Monte Python package is utilized to compare data from space satellite missions with theoretical models describing the Universe's evolution and content. Learn about Bayesian statistics and Monte Carlo simulations in cosmology, and how they're employed to identify the best-fitting theoretical models. Delve into the analysis of Cosmic Microwave Background (CMB) data from missions like Planck, revealing surprising insights about the Universe's composition. Understand the concept of the 'Dark Universe' and how Python-based tools have contributed to unveiling this mysterious aspect of cosmology. Gain insights into the challenges and future developments in cosmological data analysis using Python, including comparisons with other programming languages and potential advancements in the field.
Overview
Syllabus
Intro
Unveiling the Universe with python
Expanding universe
The Nobel Prize in Physics 2011
New generation of experiments
Earth Temperatures
For Euclid, Science Ground Segment and forecasting Task Force chose python as the recommended language.
Monte Python
What is not yet optimalin python for MontePython? Relatively new, with respect of the (fortran) COSMOMC code (which includes grid computing, OpenMP, ...)
Revolution to come in 5-10 years
Taught by
EuroPython Conference
