Photometric Redshift Error Estimators

Details Photometric Redshift Error Estimators Photometric Redshift Error Estimators

2007-11-06

arxiv.org/abs/0711.0962v1

Astrophys.J.689:709-720,2008

Astronomy and Astrophysics

Astrophysics

10 pages, 11 figures, submitted to ApJ

Scientific paper

10.1086/592591

Photometric redshift (photo-z) estimates are playing an increasingly important role in extragalactic astronomy and cosmology. Crucial to many photo-z applications is the accurate quantification of photometric redshift errors and their distributions, including identification of likely catastrophic failures in photo-z estimates. We consider several methods of estimating photo-z errors and propose new training-set based error estimators based on spectroscopic training set data. Using data from the Sloan Digital Sky Survey and simulations of the Dark Energy Survey as examples, we show that this method provides a robust, relatively unbiased estimate of photo-z errors. We show that culling objects with large, accurately estimated photo-z errors from a sample can reduce the incidence of catastrophic photo-z failures.

Affiliated with

Also associated with

No associations

Rating

Photometric Redshift Error Estimators does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Photometric Redshift Error Estimators, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Photometric Redshift Error Estimators will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-501202