ragavi

Radio Astronomy Gain and Visibility Inspector

Introduction

This library mainly requires

1. Bokeh
2. Python casacore
3. Daskms
4. Datashader
5. Nodejs>=8

- Install build dependencies:

** Python casacore comes as a dependency of Daskms ** Nodejs is a requirement for Bokeh and can be installed using the commands

$ sudo apt-get install curl
$ curl -sL https://deb.nodesource.com/setup_8.x | bash -
$ apt-get install -y nodejs

All python requirements are found in requirements.txt

or

To install nodejs in the virtual environment, use: nodeenv, a nodejs virtual environment. More info can be found here

Create nodejs virtual environment with:

$ nodeenv envName

and

$ . envName/bin/activate

to switch to environment.

Installation

Installation from source, working directory where source is checked out

$ pip install .

This package is available on PYPI via

$ pip install ragavi

Usage

Ragavi currently has two segements:

1. Gain plotter
2. Visibility plotter

For the gains plotter, the name-space ragavi-vis is used. To get help for this

Note

ragavi namespace will soon change to ragavi-vis

$ ragavi-gains -h

To use ragavi gain plotter

$ ragavi-gains -t /path/to/your/table

Multiple tables can be plotted on the same document simply by adding them in a space separated list to the -t / --table switch e.g

$ ragavi-gains -t delay/table/1/ bandpass/table/2 flux/table/3

For the visibility plotter, the name-space ragavi-vis is used. Help can be obtained by running

$ ragavi-vis -h

To run ragavi-vis, the arguments --table, --xaxis and --yaxis are basic requirements e.g.

$ ragavi-vis --ms /my/measurement/set --xaxis time --yaxis amplitude

For large datasets, it is advisable to supply at least --ymin and --ymax values to avoid an extra pass over the data.

Change the size (resolution) of the output aggregated image -- and resulting html file size -- by specifying --canvas-width and --canvas-height options.

A slightly more detailed documentation on ragavi can be found here

License

This project is licensed under the MIT License - see license for details.

Contribute

Contributions are always welcome! Please ensure that you adhere to our coding standards pep8.