PySE: Software for Extracting Sources from Radio Images
D. Carbone, H. Garsden, H. Spreeuw, J. D. Swinbank, A. J. van der, Horst, A. Rowlinson, J. W. Broderick, E. Rol, C. Law, G. Molenaar, R. A. M., J. Wijers
TL;DR
PySE is a Python tool designed for detecting and measuring sources in radio telescope images, initially developed for LOFAR but adaptable to other telescopes, with validated performance and ongoing development.
Contribution
Introduction of PySE, a versatile Python software for source extraction in radio images, including validation, testing, and discussion of current challenges.
Findings
PySE effectively detects sources in LOFAR images.
Performance validation shows reliable source measurement.
Discusses algorithm issues and future improvements.
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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