LISA tutorial for GWANW
Click here to demo the notebook on Google Colab without installing anything.
If you don't have Anaconda python installed, you should!
Download the installer here, install it, and open a new terminal.
First we'll create a new python environment and install some dependencies, including the LISA Data Challenge tools:
$ conda create -n lisa-tut python=3.9 numpy scipy matplotlib gsl fftw
$ conda activate lisa-tut
$ pip install astropy eryn chainconsumer lisa-data-challenge jupyterDownload this repo and cd into the folder.
Then we can open the tutorial notebook with jupyter notebook
If you want to run any of the MCMC inference cells, you can set the variables download_results to False
- The
Erynsampler by Michael Katz, Nikos Karnesis et al: https://github.com/mikekatz04/Eryn - The LISA data challenges: https://lisa-ldc.lal.in2p3.fr/
- The LDC tools: https://pypi.org/project/lisa-data-challenge/
- Many thanks to Michael Katz, Quentin Baghi, and Tyson Littenberg for answering helpful questions at unusual hours during the making of this tutorial
- If you use any of this in a publication, please remember to cite all the relevant codes :)