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2013MNRAS.434..282F - Mon. Not. R. Astron. Soc., 434, 282-295 (2013/September-1)
New image statistics for detecting disturbed galaxy morphologies at high redshift.
FREEMAN P.E., IZBICKI R., LEE A.B., NEWMAN J.A., CONSELICE C.J., KOEKEMOER A.M., LOTZ J.M. and MOZENA M.
Abstract (from CDS):
We also explore whether human annotators are useful for identifying disturbed morphologies. We demonstrate that they show limited ability to detect disturbance at high redshift, and that increasing their number beyond ~10 does not provably yield better classification performance. We propose a simulation-based model-fitting algorithm that mitigates these issues by bypassing annotation.
Abstract Copyright: © 2013 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society (2013)
Journal keyword(s): methods: data analysis - methods: statistical - galaxies: evolution - galaxies: fundamental parameters - galaxies: high-redshift - galaxies: statistics - galaxies: structure
Simbad objects: 1
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