Journal Article

P<span class="smallCaps">y</span>M<span class="smallCaps">orph</span>: automated galaxy structural parameter estimation using <span class="smallCaps">python</span>

Vinu Vikram, Yogesh Wadadekar, Ajit K. Kembhavi and G. V. Vijayagovindan

in Monthly Notices of the Royal Astronomical Society

Published on behalf of The Royal Astronomical Society

Volume 409, issue 4, pages 1379-1392
Published in print December 2010 | ISSN: 0035-8711
Published online December 2010 | e-ISSN: 1365-2966 | DOI: http://dx.doi.org/10.1111/j.1365-2966.2010.17426.x
PyMorph: automated galaxy structural parameter estimation using python

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We present a new software pipeline – PyMorph– for automated estimation of structural parameters of galaxies. Both parametric fits through a two-dimensional bulge disc decomposition and structural parameter measurements like concentration, asymmetry etc. are supported. The pipeline is designed to be easy to use yet flexible; individual software modules can be replaced with ease. A find-and-fit mode is available so that all galaxies in an image can be measured with a simple command. A parallel version of the PyMorph pipeline runs on computer clusters and a virtual observatory compatible web enabled interface is under development.

Keywords: techniques: photometric; galaxies: fundamental parameters; galaxies: photometry; galaxies: structure

Journal Article.  8950 words.  Illustrated.

Subjects: Astronomy and Astrophysics

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