suchanek/pma

Astronomical proper motion analysis with Jupyter Notebooks, Eric G. Suchanek, Ph.D.

Introduction

Jupyter notebooks for Astronomical analysis. Written by Eric G. Suchanek, Ph.D., Monterey Institute for Research in Astronomy (MIRA).

Getting Started

These notebooks have been developed and using Anaconda and have been tested under OSX 10.15, Ubuntu 18.04, Windows 7 Professional and Windows 10. I have used Microsoft's Visual Studio Code IDE for development and Jupyter Notebook for interactive visualization.

NB: As with any Python project there are a number of libraries that must be installed. Anaconda/conda greatly facilitates this process. This will be described more fully below:

Virtual Environment Installation/Creation

1. Install Anaconda (http://anaconda.org)

   • Create a new environment using python 3.7
   • Activate the environment

2. Build the environment

   • Manually:
     • Install the following libraries from within the environment created above:
       • astropy
       • astroquery
       • astroml
       • ipyvol
       • pandas
       • plotly
       • plotly_express
       • scikit-learn
       • pip
   • Using the environment.yml spec file (alternative, from a shell prompt):
     • clone this repo into your working repository directory
     • cd into the resulting directory
     • edit the prefix variable at the end of the environment.yaml file to reflect the correct path for your anaconda environment created above. this step is critically important!
     • execute: conda env create --file=environment.yaml

3. Use pip to install:

   • ipyaladin
     • Enable the ipyaladin widget by executing the following commands from within your environment created above:
       • jupyter nbextension install --py --symlink --sys-prefix ipyaladin
       • jupyter nbextension enable --py --sys-prefix ipyaladin

Latest release

The current master branch has the latest release

Running the notebooks in Binder

Click below to launch the Jupyter Notebook browser in Binder.

PMA_Binder