Morphological galaxy classification with shapelets

René Andrae; Peter Melchior

doi:10.1063/1.3059023

Morphological galaxy classification with shapelets

René Andrae, Peter Melchior

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

We present an unsupervised classification algorithm, that identifies natural classes of galaxy morphologies. Working on SDSS G-band imaging data, we encode the morphologies by shapelet decomposition. The algorithm employs a model-based soft clustering analysis to find groupings of similar data points. We demonstrate that the algorithm is able to clearly identify and distinguish groups of elliptical, face-on and edge-on spiral galaxies in a training data set. Based on the soft clustering results, we set up a soft classifier for a data set containing 1602 SDSS galaxies.

Original language	English (US)
Pages (from-to)	129-133
Number of pages	5
Journal	AIP Conference Proceedings
Volume	1082
DOIs	https://doi.org/10.1063/1.3059023
State	Published - 2008
Externally published	Yes
Event	Classification and Discovery in Large Astronomical Surveys - Ringberg Castle, Germany Duration: Oct 14 2008 → Oct 17 2008

All Science Journal Classification (ASJC) codes

General Physics and Astronomy

Keywords

Galaxies
Morphology
SDSS
Shapelets
Soft clustering
Unsupervised learning

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10.1063/1.3059023

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title = "Morphological galaxy classification with shapelets",

abstract = "We present an unsupervised classification algorithm, that identifies natural classes of galaxy morphologies. Working on SDSS G-band imaging data, we encode the morphologies by shapelet decomposition. The algorithm employs a model-based soft clustering analysis to find groupings of similar data points. We demonstrate that the algorithm is able to clearly identify and distinguish groups of elliptical, face-on and edge-on spiral galaxies in a training data set. Based on the soft clustering results, we set up a soft classifier for a data set containing 1602 SDSS galaxies.",

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year = "2008",

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language = "English (US)",

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pages = "129--133",

journal = "AIP Conference Proceedings",

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TY - JOUR

T1 - Morphological galaxy classification with shapelets

AU - Andrae, René

AU - Melchior, Peter

PY - 2008

Y1 - 2008

N2 - We present an unsupervised classification algorithm, that identifies natural classes of galaxy morphologies. Working on SDSS G-band imaging data, we encode the morphologies by shapelet decomposition. The algorithm employs a model-based soft clustering analysis to find groupings of similar data points. We demonstrate that the algorithm is able to clearly identify and distinguish groups of elliptical, face-on and edge-on spiral galaxies in a training data set. Based on the soft clustering results, we set up a soft classifier for a data set containing 1602 SDSS galaxies.

AB - We present an unsupervised classification algorithm, that identifies natural classes of galaxy morphologies. Working on SDSS G-band imaging data, we encode the morphologies by shapelet decomposition. The algorithm employs a model-based soft clustering analysis to find groupings of similar data points. We demonstrate that the algorithm is able to clearly identify and distinguish groups of elliptical, face-on and edge-on spiral galaxies in a training data set. Based on the soft clustering results, we set up a soft classifier for a data set containing 1602 SDSS galaxies.

KW - Galaxies

KW - Morphology

KW - SDSS

KW - Shapelets

KW - Soft clustering

KW - Unsupervised learning

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U2 - 10.1063/1.3059023

DO - 10.1063/1.3059023

M3 - Conference article

AN - SCOPUS:61849140026

SN - 0094-243X

VL - 1082

SP - 129

EP - 133

JO - AIP Conference Proceedings

JF - AIP Conference Proceedings

T2 - Classification and Discovery in Large Astronomical Surveys

Y2 - 14 October 2008 through 17 October 2008

ER -

Morphological galaxy classification with shapelets

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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