YoVDO

The CAMELS Project - Paco Villaescusa Navarro

Offered By: Kavli Institute for Theoretical Physics via YouTube

Tags

Astrostatistics Courses Data Science Courses Data Analysis Courses Machine Learning Courses Outlier Detection Algorithms Courses

Course Description

Overview

Explore the CAMELS project in this 27-minute conference talk by Paco Villaescusa Navarro from the Flatiron Institute. Dive into the application of astrostatistics and machine learning tools to galaxy formation and evolution. Discover how the CAMELS project utilizes data science techniques to analyze vast amounts of astronomical data, including spectra from Integral Field Unit surveys and galaxy morphology from imaging data. Learn about the project's role in outlier detection, linking observations with theoretical models, and its potential impact on our understanding of galaxy formation physics. Gain insights into how the CAMELS project contributes to maximizing the benefits of data-driven tools in the field of galaxy formation and evolution.

Syllabus

The CAMELS project ▸ Paco Villaescusa Navarro (Flatiron)


Taught by

Kavli Institute for Theoretical Physics

Related Courses

Introduction to Anomaly Detection in R
DataCamp
Dust Properties of Galaxies from a Data-Driven Hierarchical Model - John Forbes
Kavli Institute for Theoretical Physics via YouTube
Galaxy Zoo in the Deep Learning Era - Mike Walmsley
Kavli Institute for Theoretical Physics via YouTube
Galaxy Merger Reconstruction with Generative Graph Neural Networks - Yuan Sen Ting
Kavli Institute for Theoretical Physics via YouTube
Learning to Simulate the Universe with Deep Learning - Elena Giusarma
Kavli Institute for Theoretical Physics via YouTube