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...
Главные авторы: | 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 |
---|---|
Формат: | Journal article |
Язык: | English |
Опубликовано: |
2009
|
Схожие документы
-
Galaxy Zoo: Chiral correlation function of galaxy spins
по: Slosar, A, и др.
Опубликовано: (2008) -
Galaxy Zoo: the fraction of merging galaxies in the SDSS and their
morphologies
по: Darg, D, и др.
Опубликовано: (2009) -
Galaxy Zoo: The fraction of merging galaxies in the SDSS and their morphologies
по: Darg, D, и др.
Опубликовано: (2010) -
Galaxy Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey
по: Lintott, C, и др.
Опубликовано: (2008) -
Galaxy Zoo: Disentangling the Environmental Dependence of Morphology and
Colour
по: Skibba, R, и др.
Опубликовано: (2008)