Robbie: A batch processing work-flow for the detection of radio transients and variables
Robbie automates the process of cataloguing sources, finding variables, and identifying transients.
The workflow is described in Hancock et al. 2018 (submitted), and carries out the following steps:
- Find sources in images
- Compare these catalogues to a reference catalogue
- Use the offsets to model image based distortions
- Make warped/corrected images
- Stack the warped images into a cube and form a mean image
- Source find on the mean image to make a master catalogue
- Priorized fit this catalogue into each of the individual images
- Join the catalogues into a single table and calculate variability stats
- Use the master catalogue to mask known sources from the individual images
- Source find on the masked images to look for transients
- Combine transients tables into a single catalogue, identifying the epoch of each detection
You need to have the following software installed in order to use Robbie:
Makefile should be edited to set up some custom parameters.
In particular you need to set:
<however you would run stilts from the command line>
IMAGEFILE= a file that contains a list of all the images in epoch order (default=all_images.txt)
REGION= a MIMAS region file describing the region of interest.
Usage is: make [command | file] files: refcat.fits - a masked version of the external reference catalogue cube.fits - a stack of astrometry corrected images mean.fits - a mean image from the above stack flux_table_var.fits - light curves and variability stats for all persistent sources transients.fits - a catalogue of all candidate transient events transients.png - a visualisation of transients.fits commands: transients = transients.png variables = flux_table_var.fits sceince = variables + transients I recommend that you `make science`
If you make use of Robbie as part of your work please cite Hancock et al. 2018 (submitted), and link to this repository.