Abstract
We estimate the number density of galaxy clusters as a function of z, redshift. Nonparametric density estimation is used to estimate the galaxy density f given z and then the connected components of the level set {f(·|z) > δc} are extracted as clusters. The parameter δc is estimated by matching the number density to the Press-Schechter model using a goodness-of-fit criterion. Sincedcis δc is itself a function of a cosmological parameter, this leads to a confidence interval for the parameter.
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Jang, W. (2003). Nonparametric Density Estimation and Galaxy Clustering. In: Statistical Challenges in Astronomy. Springer, New York, NY. https://doi.org/10.1007/0-387-21529-8_45
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DOI: https://doi.org/10.1007/0-387-21529-8_45
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-95546-9
Online ISBN: 978-0-387-21529-7
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