Robbie: A Batch Processing Work-flow for the Detection of Radio Transients andVariables. (arXiv:1902.06956v1 [astro-ph.IM])
<a href="http://arxiv.org/find/astro-ph/1/au:+Hancock_P/0/1/0/all/0/1">Paul J. Hancock</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Hurley_Walker_N/0/1/0/all/0/1">Natasha Hurley-Walker</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+White_T/0/1/0/all/0/1">Tim E. White</a>
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 wedescribe the methodology
behind Robbie, and demonstrate its use on real and simulated data. Robbie is
available on GitHub.
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 wedescribe the methodology
behind Robbie, and demonstrate its use on real and simulated data. Robbie is
available on GitHub.
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