ethraid 0.1.109

Characterize long-period companions using RV trends, astrometric accelerations, and direct imaging

# Ethraid

Characterize long-period companions with partial orbits.

[](https://radvel.readthedocs.io/en/latest/)

## Environment ### Create new environment with python 3.7 - $ conda create –name trends_env python=3.7 - $ conda activate trends_env

## Download using pip - $ pip install ethraid - If the installation fails, try 1) Manually installing numpy and cython, which are needed for setup: $ pip install numpy cython 2) Upgrading pip: $ curl https://bootstrap.pypa.io/get-pip.py | python

## Example CLI usage ### Run orbit fits using parameters in configuration file - $ ethraid run -cf path/to/ethraid/example_config_files/config_191939.py ### Load and plot saved results - $ ethraid plot -cf ethraid/config_files/test1.py -rfp results/test1/test1_raw.h5 -gn 100 ### Print 95% mass and semi-major axis confidence intervals based on derived posterior - $ ethraid less -rfp results/test1/test1_raw.h5 -gn 100

## If downloading repo ### Install dependencies using requirements.txt - $ pip install -r requirements.txt

### Build code from top level of repo - $ cd trends/ - $ python setup.py build_ext –inplace

## Use api_run.py as a reference - $ python api_run.py