Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

The Importance of Incorporating Model Accuracy into Gravitational-Wave Bayesian Inference

MonashPhysicsAndAstronomy via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Watch a 58-minute lecture by Dr. Charlie Hoy from the University of Portsmouth discussing the critical importance of incorporating model accuracy in gravitational-wave Bayesian inference. Learn how existing techniques that fail to account for model accuracy tend to inflate uncertainties and potentially produce biased inferences about fundamental black hole properties like mass and spin. Discover the first approach to incorporate multiple models' accuracy into gravitational-wave Bayesian analyses, which uses 30% less computational resources while more faithfully recovering true parameters. Explore results from applying this technique to real gravitational-wave signals observed by the LIGO-Virgo-KAGRA collaboration, demonstrating practical applications of this improved methodology in astrophysical research.

Syllabus

The importance of incorporating model accuracy into gravitational-wave Bayesian inference

Taught by

MonashPhysicsAndAstronomy

Reviews

Start your review of The Importance of Incorporating Model Accuracy into Gravitational-Wave Bayesian Inference

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.