KU Leuven/CmPA seminar: Neural Network Mode Classification in the MHD Spectroscopy Code Legolas​

Title: Neural Network Mode Classification in the MHD Spectroscopy Code Legolas​

This seminar is organised by KU Leuven's Center for mathematical Plasma-Astrophysics (CmPA).

Speaker: Jordi de Jonghe  (KU Leuven)

Abstract: For a given one-dimensional magnetohydrodynamic equilibrium, the spectroscopy code Legolas computes the linear eigenoscillations for this state. Depending on the specifics of the equilibrium, multiple types of modes may be present and an automated classification (or first guess) may be desirable. To classify the Legolas output, we turn to both supervised and unsupervised machine learning algorithms. While similar, these two different machine learning techniques have distinct applications. Here I present an introduction to both techniques, some preliminary results of how we applied them to Legolas and offer some perspectives for the future.


The seminar will be held in a hybrid mode, in person in building 200B, room 00.05 and transmitted online using the following permanent Blackboard Collaborate link, that can be used for all the upcoming seminars in this academic year:
https://eu.bbcollab.com/guest/6fc7259fc2ba4f29af721ccb6a19eefd​  

Date: 

Thursday, November 17, 2022 - 14:00 to 16:00
 

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