This package was made to streamline the data analysis performed on the strontium pulsed experiment in James Thompson's lab at JILA. It contains:

• parsing functions for common data sources, such as our handheld spectrum analyzer or our FFT machine
• a Multitrace object which contains time series data, potentially with multiple dimensions to allow for parallel processing of many shots
  • This object comes with several methods designed to perform common analysis operations on datasets, like averaging or performing Fourier transforms
• experiment-specific preprocessing designed to make writing analysis scripts easier

If there are more things you think would be useful to add, let me know! Or do it yourself. Your pick.

Installing on a Windows 10 conda-based distribution requires access to the git CLI, which you can install with conda install git. Then, perform the following in your Anaconda Powershell Prompt to clone the project repository and install the latest version of thompson_pulsed:

cd <parent directory for local repo>
git clone <HTTPS url for project>
cd thompson_pulsed
pip install .

Running thompson_pulsed requires numpy, scipy, matplotlib, and pandas to be installed at a minimum on your machine.