Explore the intricacies of core-collapse supernovae in this 54-minute conference talk by Kei Kotake from Fukuoka University. Delve into the formation processes of neutron stars and black holes through three-dimensional, neutrino-radiation magnetohydrodynamics modeling. Discover the potential insights into the long-standing mystery of the explosion mechanism by analyzing gravitational-wave and neutrino signals. Gain a deeper understanding of computational challenges in multi-messenger astrophysics as presented at IPAM's Workshop I at UCLA on October 4, 2021.
Multi-Dimensional Modeling of Core-Collapse Supernovae - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Overview
Syllabus
Kei Kotake - Multi-dimensional modeling of core-collapse supernovae - IPAM at UCLA
Taught by
Institute for Pure & Applied Mathematics (IPAM)
Related Courses
-
Core-Collapse Supernovae Detection with Neutrinos and Gravitational Waves
-
Computational Challenges with Modeling Core Collapse Supernovae - IPAM at UCLA
-
Supernovae and Neutron Stars - Lecture 3
-
Deep Learning Algorithm for Core-Collapse Supernova Detection
-
A Machine Learning Application in Multi-Messenger Astrophysics
-
Multi-Messenger Aspects of Characteristic Evolution
