Search Results for author: R. J. Brunner

Found 2 papers, 0 papers with code

SOMz: photometric redshift PDFs with self organizing maps and random atlas

no code implementations18 Dec 2013 M. Carrasco Kind, R. J. Brunner

We also introduced a new metric, the $I$-score, which efficiently incorporates different metrics, making it easier to compare different results (from different parameters or different photometric redshift codes).

BIG-bench Machine Learning

TPZ : Photometric redshift PDFs and ancillary information by using prediction trees and random forests

no code implementations28 Mar 2013 M. Carrasco Kind, R. J. Brunner

With the growth of large photometric surveys, accurately estimating photometric redshifts, preferably as a probability density function (PDF), and fully understanding the implicit systematic uncertainties in this process has become increasingly important.

Cosmology and Nongalactic Astrophysics

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