11.4.24. astroML.datasets.generate_mu_z¶

astroML.datasets.generate_mu_z(size=1000, z0=0.3, dmu_0=0.1, dmu_1=0.02, random_state=None, cosmo=None)[source]¶

Generate a dataset of distance modulus vs redshift.

Parameters

sizeint or tuple: size of generated data
z0float: parameter in redshift distribution: p(z) ~ (z / z0)^2 exp[-1.5 (z / z0)]
dmu_0, dmu_1float: specify the error in mu, dmu = dmu_0 + dmu_1 * mu
random_stateNone, int, or np.random.RandomState instance: random seed or random number generator
cosmoastropy.cosmology instance specifying cosmology: to use when generating the sample. If not provided, a Flat Lambda CDM model with H0=71, Om0=0.27, Tcmb=0 is used.

Returns