Exercises in gravitational wave parameter estimation

This repository contains a series of hands-on exercises designed to accompany the lectures on gravitational wave parameter estimation of the Prospects in Theoretical Physics 2025 program.

Each exercise is in its own folder, which includes:

• A Jupyter notebook with the exercise.
• A requirements.txt file listing the dependencies for that exercise.

We recommend using Miniconda to manage environments cleanly.

Prerequisites

Before starting, make sure you have Miniconda (or Anaconda) installed.

Download Miniconda here

Choose the version for your operating system and Python 3.x. Follow the instructions to install it. Once installed, you’ll have access to the conda command in your terminal.

Getting Started

1. Clone this repository:

git clone git@github.com:jroulet/pitp-pe-exercises.git
cd pitp-pe-exercises

2. Navigate to the folder for the exercise you want to do, for example:

cd 1-gaussian_noise

3. Create a new conda environment for that exercise:

conda create --name gaussian_noise_env pip
conda activate gaussian_noise_env
pip install -r requirements.txt

4. Launch Jupyter Notebook:

jupyter notebook

Tips

• You might want to make a copy of each notebook and work on the copy. This will minimize git conflicts when updating the repository.
• To update your clone of the repository as more exercises are added:

cd path/to/pitp-pe-exercises
git pull

• To list all your conda environments:

conda env list

• To delete an environment:

conda remove --name gaussian_noise_env --all

• If conda is not recognized in your terminal, try restarting the terminal or ensure that Miniconda was added to your system PATH during installation.

Questions?

Feel free to open an issue or reach out with questions.