Sign on
ADS Classic is now deprecated. It will be completely retired in October 2019. This page will automatically redirect to the new ADS interface at that point.

SAO/NASA ADS Astronomy Abstract Service


· Find Similar Abstracts (with default settings below)
· Electronic Refereed Journal Article (HTML)
· Full Refereed Journal Article (PDF/Postscript)
· arXiv e-print (arXiv:1802.00937)
· On-line Data
· References in the article
· Citations to the Article (11) (Citation History)
· Refereed Citations to the Article
· SIMBAD Objects (1)
· Associated Articles
· Also-Read Articles (Reads History)
·
· Translate This Page
Title:
ProFound: Source Extraction and Application to Modern Survey Data
Authors:
Robotham, A. S. G.; Davies, L. J. M.; Driver, S. P.; Koushan, S.; Taranu, D. S.; Casura, S.; Liske, J.
Affiliation:
AA(ICRAR, M468, University of Western Australia, Crawley, WA 6009, Australia 0000-0003-0429-3579), AB(ICRAR, M468, University of Western Australia, Crawley, WA 6009, Australia), AC(ICRAR, M468, University of Western Australia, Crawley, WA 6009, Australia), AD(ICRAR, M468, University of Western Australia, Crawley, WA 6009, Australia), AE(ICRAR, M468, University of Western Australia, Crawley, WA 6009, Australia; ARC Centre of Excellence for All-sky Astrophysics (CAASTRO), The University of Western Australia, Crawley, WA 6009, Australia), AF(Hamburger Sternwarte, Universität Hamburg, Gojenbergsweg 112, D-21029 Hamburg, Germany), AG(Hamburger Sternwarte, Universität Hamburg, Gojenbergsweg 112, D-21029 Hamburg, Germany)
Publication:
Monthly Notices of the Royal Astronomical Society, Volume 476, Issue 3, p.3137-3159 (MNRAS Homepage)
Publication Date:
05/2018
Origin:
OUP
Astronomy Keywords:
methods: data analysis, techniques: image processing, techniques: photometric
Abstract Copyright:
2018 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society
DOI:
10.1093/mnras/sty440
Bibliographic Code:
2018MNRAS.476.3137R

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, and demonstrate that it behaves reasonably given its stated design goals. In particular, it offers good initial parameter estimation for PROFIT, and also segmentation maps that follow the sometimes complex geometry of resolved sources, whilst capturing nearly all of the flux. A number of bulge-disc decomposition projects are already making use of the PROFOUND and PROFIT pipeline, and adoption is being encouraged by publicly releasing the software for the open source R data analysis platform under an LGPL-3 license on GitHub (github.com/asgr/ProFound).

Associated Articles

Source Software     Described in    


Bibtex entry for this abstract   Preferred format for this abstract (see Preferences)


Find Similar Abstracts:

Use: Authors
Title
Keywords (in text query field)
Abstract Text
Return: Query Results Return    items starting with number
Query Form
Database: Astronomy
Physics
arXiv e-prints