Irene Di Palma - Deep Learning Algorithm For Core-Collapse Supernova Detection

Irene Di Palma - Deep learning algorithm for core-collapse supernova detection

Institute for Pure & Applied Mathematics (IPAM)

Irene Di Palma - A Machine Learning Application in Multi-Messenger Astrophysics - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)

Jose Antonio Font - Inference with core-collapse supernova waveforms - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)

Machine Learning for DAS Data Analysis - DAS RCN Webinar

IRIS Earthquake Science Presentations

CITA 939: Core-collapse Supernova Theory: From Neutrino-driven Explosions to Observations

CITA Presentations

Damiano Rosselli - Growth-Rate measurement using peculiar velocities from LSST type Ia supenovae

Institute of Space Sciences (ICE-CSIC)

Volume Rendering of a 3D Core-Collapse Supernova Simulation

Argonne Leadership Computing Facility

Nadia Blagorodnova: Insight on binary's common envelope evolution with Luminous Red Nova transients

Institute of Space Sciences (ICE-CSIC)

CITA 492: Recent Topics in Core-Collapse Supernova Theory

CITA Presentations

Pablo Cerdá-Durán - Numerical analysis: Supernovae and burst-like sources - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)

CS 285: Lecture 12, Part 4

RAIL

CITA 211: Magnetic fields and rotation in core-collapse supernova

CITA Presentations

Introduction to Crash Analysis by Pierre-Christophe Masson-Student Learning Event 2022 Day 1 Track 4

Altair Global Academic Program

Dissecting core-collapse supernovae using neutrinos

Institut d'Astrophysique de Paris

ESA Polarimetry Training 2023 #5 Advanced Applications with Prof. I Hajnsek and Prof. A Marino

EO Open Science