Anze Slosar: Galaxy Zoo

Anze Slosar, Berkeley Center for Cosmological Physics, University of California  

Galaxy Zoo

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.