backtracks 0.3.2

Python package to fit relative astrometry with background star motion tracks.

backtracks

Python package to fit relative astrometry with background star motion tracks.

Written by Gilles Otten (@gotten), William Balmer (@wbalmer), and Tomas Stolker (@tomasstolker).

eDR3 Distance prior summary file from this source, published in Bailer-Jones+2021.

Current example (HD131399Ab) uses data from Wagner+22 and Nielsen+17. Thank you to Kevin Wagner for providing the latest astrometry!

Log-likelihood borrowed heavily from orbitize! (BSD 3-clause).

Currently requires and python >3.9,<3.11 and astropy, corner, dynesty, matplotlib, numpy, novas, novas_de405, orbitize and their dependencies. Note that novas is not supported on Windows (I use WSL for Windows to develop the code!). You can create a working environment using conda+pip via a few lines of code:

conda create python=3.11 -n backtracks
conda activate backtracks
conda install pip
pip install backtracks

Then, download the test data+script and test your installation (takes a while to sample fully):

wget https://raw.githubusercontent.com/wbalmer/backtrack/main/tests/scorpions1b_orbitizelike.csv
wget https://raw.githubusercontent.com/wbalmer/backtrack/main/tests/hd131339a.py
python hd131339a.py

or, to clone the repo and install in development mode (we recommend this, as the code is a work in progress and you can easily fix bugs you will likely encounter this way):

conda create python=3.11 -n backtracks
conda activate backtracks
conda install pip
git clone https://github.com/wbalmer/backtrack.git
cd backtrack
pip install -e .

Then, test your installation (takes a while to sample fully):

cd tests
python hd131399a.py