Isfahan-workshop-2021

Data Science in Relativistic Astrophysics (Hands on Workshop)

Preparation before the meeting We use the python language for programming, PyTorch/scikit-learn packages, and google Colab environment. Participants only need to register on google drive and have primary experience in working with google colab notebooks. We will also use the AstroML package which can be installed easily during the workshop.

Useful links for this workshop:

Google colab: https://colab.research.google.com/

Scikit-learn: https://scikit-learn.org/stable/

AstroML: https://www.astroml.org/index.html

Pytorch: https://pytorch.org

SDSS: https://www.sdss.org

The tutorial, in general, follows:

1. Basics of Machine Learning (ML)

2. Popular ML algorithms

3. ML in Astrophysics

4. SDSS Data, Download and Preparation

5. Applying Some of the ML Methods on SDSS Data

6. Introduction of Neural Network

7. Basics of Pytorch/Scikit-learn

8. Neural Network Construction

9. Network Training

10. Evaluation