Effect of Distance Errors: Applications to SDSS Early-Type Galaxies
Graziano Rossi, Ravi K. Sheth

TL;DR
This paper presents a method to correct biases in galaxy property estimates caused by noisy distance measurements, improving the accuracy of size and luminosity distributions in SDSS early-type galaxies.
Contribution
The authors develop a generalized V_max method to correct for distance-related biases in photometric redshift data, enhancing the accuracy of galaxy property distributions.
Findings
Successfully recovers true redshift, magnitude, and size distributions.
Corrects the size-luminosity relation for distance errors.
Applicable to a broad range of distance-dependent studies.
Abstract
Noisy distance estimates associated with photometric rather than spectroscopic redshifts lead to a mis-estimate of the luminosities, and produce a correlated mis-estimate of the sizes. We consider a sample of early-type galaxies from the SDSS DR6 and apply the generalization of the V_max method to correct for these biases. We show that our technique recovers the true redshift, magnitude and size distributions, as well as the true size-luminosity relation. Regardless the specific application outlined here, our method impacts a broader range of studies, when at least one distance-dependent quantity is involved.
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Taxonomy
TopicsStatistical and numerical algorithms · Advanced Statistical Methods and Models · Advanced Statistical Process Monitoring
