 For example, if a Sun-like spectrum had a redshift of "z" = 1, it would be brightest in the infrared rather than at the yellow-green color associated with the peak of its blackbody spectrum, and the light intensity will be reduced in the filter by a factor of two (i.e.1+"z") (see K correction for more details on the photometric consequences of redshift).Other means of estimating the redshift based on alternative observed quantities have been developed, like for instance morphological redshifts applied to galaxy clusters which rely on geometric measurements  In recent years, Bayesian statistical methods and artificial neural networks have been used to estimate redshifts from photometric data.