State-of-the-art pathfinder techniques for fast model-subtracted imaging, automated light-curve pipelines, artefact filtering and triggered reprocessing enable reliable commensal image-plane transient searches with SKAO from AA* onward.
PySE: Software for Extracting Sources from Radio Images
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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 issues with the algorithms implemented in PySE and their inter- action with LOFAR images, concluding with the current status of PySE and its future development.
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astro-ph.IM 1years
2026 1verdicts
ACCEPT 1representative citing papers
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Commensal image plane transient search methods with the SKAO
State-of-the-art pathfinder techniques for fast model-subtracted imaging, automated light-curve pipelines, artefact filtering and triggered reprocessing enable reliable commensal image-plane transient searches with SKAO from AA* onward.