Galaxy Zoo: Reproducing Galaxy Morphologies Via Machine Learning
We present morphological classifications obtained using machine learning for objects in SDSS DR6 that have been classified by Galaxy Zoo into three classes, namely early types, spirals and point sources/artifacts. An artificial neural network is trained on a subset of objects classified by the human...
Main Authors: | Banerji, M, Lahav, O, Lintott, C, Abdalla, F, Schawinski, K, Bamford, S, Andreescu, D, Murray, P, Raddick, M, Slosar, A, Szalay, A, Thomas, D, Vandenberg, J |
---|---|
Format: | Journal article |
Jezik: | English |
Izdano: |
2009
|
Podobne knjige/članki
-
Galaxy Zoo: Chiral correlation function of galaxy spins
od: Slosar, A, et al.
Izdano: (2008) -
Galaxy Zoo: the fraction of merging galaxies in the SDSS and their
morphologies
od: Darg, D, et al.
Izdano: (2009) -
Galaxy Zoo: The fraction of merging galaxies in the SDSS and their morphologies
od: Darg, D, et al.
Izdano: (2010) -
Galaxy Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey
od: Lintott, C, et al.
Izdano: (2008) -
Galaxy Zoo: Disentangling the Environmental Dependence of Morphology and
Colour
od: Skibba, R, et al.
Izdano: (2008)