ROBBIE: A batch processing work-flow for the detection of radio transients and variables
Abstract
We present ROBBIE: a general work-flow for the detection and characterization of radio variability and transient events in the image domain. ROBBIE is designed to work in a batch processing paradigm with a modular design so that components can be swapped out or upgraded to adapt to different input data, whilst retaining a consistent and coherent methodological approach. ROBBIE is based on commonly used and open software, and is encapsulated in a Makefile to aid portability and reproducibility. In this paper we describe the methodology behind ROBBIE, and demonstrate its use on real and simulated data. ROBBIE is available on GitHub.
- Publication:
-
Astronomy and Computing
- Pub Date:
- April 2019
- DOI:
- 10.1016/j.ascom.2019.02.004
- arXiv:
- arXiv:1902.06956
- Bibcode:
- 2019A&C....27...23H
- Keywords:
-
- Methods;
- Data analysis;
- Techniques;
- Radio astronomy;
- Variability;
- Transients;
- Astrophysics - Instrumentation and Methods for Astrophysics
- E-Print:
- 12 pages, 11 figures, Accepted to Astronomy and Computing. Github link: https://github.com/PaulHancock/Robbie
