YoVDO

Beyond-Gaussian Statistics for Cosmological Clustering - K-Nearest Neighbor by Arka Banerjee

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Cosmology Courses Data Analysis Courses Statistical Analysis Courses Multi-messenger Cosmology Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore beyond-Gaussian statistics for cosmological clustering in this 34-minute conference talk by Arka Banerjee from the International Centre for Theoretical Sciences. Delve into the application of k-Nearest Neighbor techniques to analyze large-scale structure data from cosmic surveys. Learn about advanced statistical methods used to extract information from galaxy clustering patterns and their implications for our understanding of the Universe's evolution. Gain insights into how these techniques contribute to the field of precision cosmology and complement data from Cosmic Microwave Background observations. Understand the importance of such analytical approaches in interpreting data from ongoing and future large-scale structure surveys like DES, DESI, and LSST.

Syllabus

Beyond-Gaussian Statistics for Cosmological Clustering - k-Nearest Neighbor... by Arka Banerjee


Taught by

International Centre for Theoretical Sciences

Related Courses

Introduction to Astronomy
Duke University via Coursera
Galaxies and Cosmology
California Institute of Technology via Coursera
Confronting The Big Questions: Highlights of Modern Astronomy
University of Rochester via Coursera
From the Big Bang to Dark Energy
University of Tokyo via Coursera
Philosophy and the Sciences: Introduction to the Philosophy of Physical Sciences
University of Edinburgh via Coursera