11.4.11. astroML.datasets.fetch_great_wall

astroML.datasets.fetch_great_wall(data_home=None, download_if_missing=True, xlim=(-375, -175), ylim=(-300, 200), cosmo=None)[source]

Get the 2D SDSS “Great Wall” distribution, following Cowan et al 2008

Parameters
data_homeoptional, default=None

Specify another download and cache folder for the datasets. By default all scikit learn data is stored in ‘~/astroML_data’ subfolders.

download_if_missingoptional, default=True

If False, raise a IOError if the data is not locally available instead of trying to download the data from the source site.

xlim, ylimtuples or None

the limits in Mpc of the data: default values are the same as that used for the plots in Cowan 2008. If set to None, no cuts will be performed.

cosmoastropy.cosmology instance specifying cosmology

to use when generating the sample. If not provided, a Flat Lambda CDM model with H0=73.2, Om0=0.27, Tcmb0=0 is used.

Returns
datandarray, shape = (Ngals, 2)

grid of projected (x, y) locations of galaxies in Mpc