ethraid 2.4.3

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

# Ethraid

Characterize long-period companions with partial orbits.

## 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 upgrading pip: $ curl https://bootstrap.pypa.io/get-pip.py | python

## Example CLI usage ### Run orbit fits, plot results, and print 95% confidence intervals all at once - $ ethraid all -cf path/to/ethraid/example_config_files/config_191939.py -rfp results/test1/test1_processed.h5 -t 1d 2d

### Or run each command separately:

### 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 75 -t 1d 2d ### Print 95% mass and semi-major axis confidence intervals based on derived posterior - $ ethraid lims -rfp results/test1/test1_raw.h5 -gn 100

## Download repo from Github ### 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