Tris

This repository comprises the codebase for our paper, "An Automated Screening System for Trinary Star System Candidates", that has been submitted to Physica Scripta.

Tris is an open-source tool that offers a specialized method to determine "observed-minus-computed" (OC) diagrams from astronomical flux time series data (lightcurves) obtained from NASA's Kepler and K2 missions.

Here is a brief outline of the algorithm:

Diagram of Algorithm.

Basic Guide to Codebase

• datagen - Contains the data generation and acquisition scheme to get the files in data.
• docs - Contains the documentation code for the codebase.
• notebooks - Notebooks to test our code and visualise them, and also to give examples of usage
• pipelining - Older versions of datagen.
• old - Older versions of tris. Also contains logbooks of our work.
• tris - Currently contains (early-stage) versions of our improved library code that will later be deployed on PyPI.
• manual_classification.xlsx - Post Algorithm Manual Classification done by us.

Do note that in our codebase, you will see references to a data/ folder. This folder contains the acquired .fits files that contain the light curves for all objects classified as EBs. You can install this by running datagen/load.sh.

Documentation

Read the documentation at https://three-body-analysis.github.io/codebase/.

Setup and Installation

Installing from PyPI

Yes, we have published tris on PyPI! To install tris and all its dependencies, the easiest method would be to use pip to query PyPI. This should, by default, be present in your Python installation. To, install run the following command in a terminal or Command Prompt / Powershell:

$ pip install tris

Depending on the OS, you might need to use pip3 instead. If the command is not found, you can choose to use the following command too:

$ python -m pip install tris

Here too, python or pip might be replaced with py or python3 and pip3 depending on the OS and installation configuration. If you have any issues with this, it is always helpful to consult Stack Overflow.

Installing from Source

To install from source, you need to get the following:

Git

Git is needed to install this repository. This is not completely necessary as you can also install the zip file for this repository and store it on a local drive manually. To install Git, follow this guide.

After you have successfully installed Git, you can run the following command in a terminal / Command Prompt etc:

$ git clone https://github.com/three-body-analysis/codebase.git

This stores a copy in the folder codebase. You can then navigate into it using cd codebase.

Poetry

This project can be used easily via a tool know as Poetry. This allows you to easily reflect edits made in the original source code! To install poetry, you can also install it using pip by typing in the command as follows:

$ pip install poetry

Again, if you have any issues with pip, check out here.

After this, you can use the following command to install this library:

$ poetry install