25 - 28 January 2022: the second AIDA school

The second AIDA school was very important to have the possibility to show AIDA developed tools: AIDAdb and AIDApy. The main objective of the school was to show these, but we also give some basic knowledge. We are glad for the interest shown by the students and that they very appreciated it!

Thanks to all the AIDA partners involved and a special thanks to Geert Jan Bex for the valuable lessons.

Below the agenda and the recorded lessons divided by arguments.

agenda

25 January 2022

Introduction

Giovanni Lapenta (KU Leuven)

General description of AIDApy/AIDAdb

Jorge Amaya (KU Leuven)

Downloading data from AIDAdb

Giorgio Pedrazzi (CINECA)

Data processing and visualization

Geert Jan Bex (Flemish Supercomputer Centre, KU Leuven and Hasselt University)

Use of a statistical toolbox to extract physical information from data

Sergio Servidio (UNICAL)

Learning to fly: the AIDApy Virtual Instrument Package

Domenico Trotta (UNICAL)


26 January 2022

Neural Networks theory

Geert Jan Bex (Flemish Supercomputer Centre, KU Leuven and Hasselt University)

Unsupervised learning theory

Geert Jan Bex (Flemish Supercomputer Centre, KU Leuven and Hasselt University)

CNN theory - Supervised detection of reconnection events in 2D simulations

Jannis Teunissen (CWI)

Replacing the SITL for MMS with NNs -  Active region parameterization using AE/VAEs/GANs - Introduction to XAI

Jorge Amaya (KU Leuven)


27 January 2022

Coronal hole detection with U-Nets - Unsupervised solar image segmentation

Leonidas Liakopoulos (IRIDA Labs S.A.) and Sofoklis Katakis (IRIDA Labs S.A.)

VDF Analysis with AIDApy - Reconnection detection using the Lorentz frame indicator and AIDApy

Giovanni Lapenta (KU Leuven)

Classification of solar wind

Jorge Amaya (KU Leuven)

Unsupervised classification of magnetospheric simulated data

Maria Elena Innocenti (Ruhr Universitat Bochum, Germany)

Detection of magnetic reconnection in 2D/3D simulations using k-means

Francesco Califano (UNIPI), Giorgio Pedrazzi (CINECA), Bhaskar Agarwal (CINECA)


28 January 2022

Dst forecasting with NNs using AIDApy

Leonidas Liakopoulos (IRIDA Labs S.A.) and Sofoklis Katakis (IRIDA Labs S.A.)

Creating your own Use Cases in AIDApy

Leonidas Liakopoulos (IRIDA Labs S.A.) and Sofoklis Katakis (IRIDA Labs S.A.)


The slides are available here.