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Robbie: A Batch Processing Work-flow for the Detection of Radio Transients andVariables

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arxiv 1902.06956 v1 pith:QQZDKVML submitted 2019-02-19 astro-ph.IM

Paul J. Hancock , Natasha Hurley-Walker , Tim E. White This is my paper · ORCID
classification astro-ph.IM
keywords robbiebatchdatadetectionprocessingradiowork-flowadapt
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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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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Discovery of 27 new Rotating Radio Transients by MeerTRAP

    astro-ph.HE 2026-08 conditional novelty 6.0 of 10

    MeerTRAP discovers 27 new rotating radio transients in the Galaxy, localizes 14 of them, and obtains coherent timing solutions for 4.

  2. Rapid Response Triggering for Radio Transients with the SKA Observatory

    astro-ph.IM 2026-07 accept novelty 3.0 of 10

    SKA-Low and SKA-Mid should implement automated rapid-response triggering on external and internal alerts to enable early radio observations of diverse transients.

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