180 citations · 348 across the 6 of their papers we have counts for
3 papers · 1 filter
Galaxy Distribution Incompleteness Testing Using Self-Organizing Maps
Isaac McMahon, Markus Michael Rau, Rachel Mandelbaum
The calibration of redshift distributions for photometric samples using spectroscopic surveys is plagued by the difficulty in modelling the selection functions of spectroscopic sur…
Feature importance for machine learning redshifts applied to SDSS galaxies
Ben Hoyle, Markus Michael Rau, Roman Zitlau +2
We present an analysis of importance feature selection applied to photometric redshift estimation using the machine learning architecture Decision Trees with the ensemble learning…
Photometric redshift analysis in the Dark Energy Survey Science Verification data
C. Sánchez, M. Carrasco Kind, H. Lin +74
We present results from a study of the photometric redshift performance of the Dark Energy Survey (DES), using the early data from a Science Verification (SV) period of observation…