ProFound: Source Extraction and Application to Modern Survey Data
A. S. G. Robotham, L. J. M. Davies, S. P. Driver, S. Koushan, D. S., Taranu, S. Casura, J. Liske

TL;DR
ProFound is an innovative source detection and analysis software that improves photometry accuracy by using dilated segmentation maps and advanced de-blending, facilitating large-scale galaxy profiling in survey data.
Contribution
ProFound introduces a novel photometry method based on dilated segmentation maps and flux saddle de-blending, enhancing source detection and measurement in noisy images.
Findings
Effective in detecting sources in noisy images
Provides accurate flux, size, and ellipticity measurements
Generates segmentation maps that follow complex source geometries
Abstract
We introduce ProFound, a source finding and image analysis package. ProFound provides methods to detect sources in noisy images, generate segmentation maps identifying the pixels belonging to each source, and measure statistics like flux, size and ellipticity. These inputs are key requirements of ProFit, our recently released galaxy profiling package, where the design aim is that these two software packages will be used in unison to semi-automatically profile large samples of galaxies. The key novel feature introduced in ProFound is that all photometry is executed on dilated segmentation maps that fully contain the identifiable flux, rather than using more traditional circular or ellipse based photometry. Also, to be less sensitive to pathological segmentation issues, the de-blending is made across saddle points in flux. We apply ProFound in a number of simulated and real world cases,…
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Taxonomy
TopicsSpeech Recognition and Synthesis
