DETAILED DECOMPOSITION OF GALAXY IMAGES. II. BEYOND AXISYMMETRIC MODELS

By C. Peng, Luis C. Ho, Christopher Impey, Hans-Walter Rix. 2009

1,372 citations recorded by the source corpus.

We present a two-dimensional (2D) fitting algorithm (Galfit, ver. 3) with new capabilities to study the structural components of galaxies and other astronomical objects in digital images. Our technique improves on previous 2D fitting algorithms by allowing for irregular, curved, logarithmic and power-law spirals, ring, and truncated shapes in otherwise traditional parametric functions like the Sérsic, Moffat, King, Ferrer, etc., profiles. One can mix and match these new shape features freely, with or without constraints, and apply them to an arbitrary number of model components of numerous profile types, so as to produce realistic-looking galaxy model images. Yet, despite the potential for extreme complexity, the meaning of the key parameters like the Sérsic index, effective radius, or luminosity remains intuitive and essentially unchanged. The new features have an interesting potential for use to quantify the degree of asymmetry of galaxies, to quantify low surface brightness tidal features beneath and beyond luminous galaxies, to allow more realistic decompositions of galaxy subcomponents in the presence of strong rings and spiral arms, and to enable ways to gauge the uncertainties when decomposing galaxy subcomponents. We illustrate these new features by way of several case studies that display various levels of complexity.

Subfields: Astronomy and Astrophysics, Computer Vision and Pattern Recognition, Instrumentation

View Paper: https://www.semanticscholar.org/paper/0122685a9f55fe5f6a8210188895d0a6921482fd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

  1. P. Hopkins
  2. L. Hernquist
  3. R. Somerville
  4. R. Dav'e
  5. C. Conroy
  6. P. V. van Dokkum
  7. Volker Springel
  8. Christopher J. Conselice

In Computer Vision and Pattern Recognition

  1. Christopher J. Conselice
  2. L. Hernquist
  3. Roger Davies
  4. Hans-Walter Rix
  5. J. Lotz
  6. R. Somerville
  7. Alister W. Graham
  8. Joel R. Primack

In Instrumentation

  1. P. Hopkins
  2. L. Hernquist
  3. P. V. van Dokkum
  4. C. Conroy
  5. R. Dav'e
  6. Christopher J. Conselice
  7. R. Somerville
  8. M. Franx

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