Anže Slosar

Berkeley Center for Cosmological Physics, University of California

petek, 4. 1. 2008, ob 13h v F3

Galaxy Zoo is a project that attempts to harness the power of Internet public to classify galaxies from the SDSS catalogue. In a couple of months the project has achieved over 30 million classifications from about 100 thousand users. The detector is highly non-linear and the noise highly non-Gaussian which makes the challenge of reducing this
dataset unique. However, the shear amount of data allows us to calibrate the morphological classifications and extract useful science. I will discuss the project, the expected and the strange effects that we are seeing in the data and some preliminary science results.