Spectral Analysis of Astronomical Data

Spectral analysis of astronomical data using Fourier and Morlet wavelet transforms.

Running the notebook

If you want to run one of the notebooks of this repository, you just have to clone it on your computer using git clone https://github.com/gbogopolsky/spectral-analysis-astro.git.

Then, using Anaconda, create the virtual environment and run the Jupyter Notebook kernel:

conda create --name spectral-analysis --file requirements.txt
conda activate spectral-analysis
jupyter notebook

And you're good to go. Enjoy!

Building LaTeX source and .pdf file

Following these instructions, make sure that the pandoc and texlive-xetex are installed on your distribution using apt-get, then create the LaTeX file using:

jupyter nbconvert --to latex --template article Rapport.ipynb

After some editing (presentation and removing one section level everywhere), run:

xelatex Rapport.tex

The output .pdf file is created.

Thanks

I would like to thank Olga Alexandrova (page) and Baptiste Cecconi (page) from the LESIA lab of OBSPM for organising this practical session. Thanks also to C. Torrence, G. Compo and E. Predybaylo for developing the wavelet tranform routine in Python (here is the repository).