Galaxy Zoo: building the low-mass end of the red sequence with local post-starburst galaxies

Autor: Wong, O. Ivy, Schawinski, K., Kaviraj, S., Masters, K. L., Nichol, R. C., Lintott, C., Keel, W. C., Darg, D., Bamford, S. P., Andreescu, D., Murray, P., Raddick, M. J., Szalay, A., Thomas, D., VandenBerg, J.

We present a study of local post-starburst galaxies (PSGs) using the photometric and spectroscopic observations from the Sloan Digital Sky Survey (SDSS) and the results from the Galaxy Zoo project. We find that the majority of our local PSG populatio

Externí odkaz: http://arxiv.org/abs/1111.1785

Galaxy Zoo: the fraction of merging galaxies in the SDSS and their morphologies

Autor: Darg, D. W., Kaviraj, S., Lintott, C. J., Schawinski, K., Sarzi, M., Bamford, S., Silk, J., Proctor, R., Andreescu, D., Murray, P., Nichol, R. C., Raddick, M. J., Slosar, A., Szalay, A. S., Thomas, D., Vandenberg, J.

We present the largest, most homogeneous catalogue of merging galaxies in the nearby universe obtained through the Galaxy Zoo project - an interface on the world-wide web enabling large-scale morphological classification of galaxies through visual in

Externí odkaz: http://arxiv.org/abs/0903.4937

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Galaxy Zoo:reproducing galaxy morphologies via machine learning

Autor: 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

Publikováno v: Banerji, M, Lahav, O, Lintott, C J, Abdalla, F B, Schawinski, K, Bamford, S P, Andreescu, D, Murray, P, Raddick, M J, Slosar, A, Szalay, A, Thomas, D & Vandenberg, J 2010, ' Galaxy Zoo : reproducing galaxy morphologies via machine learning ', Monthly Notices of the Royal Astronomical Society, vol. 406, no. 1, pp. 342-353 . https://doi.org/10.1111/j.1365-2966.2010.16713.x

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 trai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::724a48a044b07423952fb5185efe7f51
https://researchportal.port.ac.uk/ws/files/1517859/342.full.pdf