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Dealing with Uncertain Multimodal Photometric Redshift Estimations

Published online by Cambridge University Press:  30 May 2017

Kai L. Polsterer
Kai L. Polsterer*
Affiliation:
Astroinformatics, Heidelberg Institute for Theoretical Studies, Schloss-Wolfsbrunnenweg 35, 69118, Heidelberg, Germany email: kai.polsterer@h-its.org
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Abstract

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Due to limitations in available instrumentation and observation time, a spectroscopic determination of distance is not feasible for all objects in the sky. Therefore statistical methods that estimate redshifts, based on photometric measurement are of tremendous importance to many astrophysical questions. Determining cosmological parameters and understanding evolutionary processes in the universe are just two examples. When perform astrophysical analyses, it is necessary to treat the uncertainties of the estimates correctly. Over-simplification of results and the usage of wrong tools to evaluate the performance of probabilistic redshift estimates were commonly found in the literature. We present proper tools for evaluating uncertain redshift estimates and discuss the necessity of multimodal redshift distributions.

Keywords

instrumentation: miscellaneousmethods: data analysismethods: miscellaneousmethods: statisticaltechniques: photometricgalaxies: distances and redshifts
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 12 , Symposium S325: Astroinformatics , October 2016 , pp. 156 - 165
Copyright
Copyright © International Astronomical Union 2017 

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