2018
DOI: 10.1016/j.ascom.2018.02.003
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PySE: Software for extracting sources from radio images

Abstract: PySE is a Python software package for finding and measuring sources in radio telescope images. The software was designed to detect sources in the LOFAR telescope images, but can be used with images from other radio telescopes as well. We introduce the LOFAR Telescope, the context within which PySE was developed, the design of PySE, and describe how it is used. Detailed experiments on the validation and testing of PySE are then presented, along with results of performance testing. We discuss some of the current… Show more

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Cited by 27 publications
(18 citation statements)
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“…Light curves are generated by extracting the source fluxes from each image with the Python Source Extractor (Carbone et al 2018), then the sources extracted from each image are associated with the extractions from previous images in a running catalogue database. This is performed using the LOFAR Transient Pipeline (TraP; Swinbank et al 2015, and references therein).…”
Section: Flux Density Scalementioning
confidence: 99%
“…Light curves are generated by extracting the source fluxes from each image with the Python Source Extractor (Carbone et al 2018), then the sources extracted from each image are associated with the extractions from previous images in a running catalogue database. This is performed using the LOFAR Transient Pipeline (TraP; Swinbank et al 2015, and references therein).…”
Section: Flux Density Scalementioning
confidence: 99%
“…These analysis pointed out strong and weak features of the tested finders, triggering new developments in specific areas, such as source deblending and fitting [e.g. see Hancock et al (2018) and Carbone et al (2018) for recent works]. Existing works, however, concentrate on compact sources, and well-known source finders, such as Aegean (Hancock et al 2012), PyBDSF (Mohan et al 2015), and BLOBCAT (Hales et al 2012), have been shown not to perform well on extended sources, revealing the need for further developments in the characterisation of complex extended sources and for a systematic testing with simulations.…”
Section: Introductionmentioning
confidence: 99%
“…not type 'S') in the TGSS catalogue. This likely has to do with subtleties in the source extraction step and we note that T P uses a different source extraction tool (P SE; Carbone et al 2018) than is used for TGSS (P BDSF; Mohan & Rafferty 2015). Therefore, B2.…”
Section: Catalogue Comparison and Transient Searchmentioning
confidence: 99%