Photo-z Quality Cuts and their Effect on the Measured Galaxy Clustering

TL;DR

This paper investigates how applying photo-z quality cuts affects galaxy clustering measurements and introduces a correction method to mitigate biases, demonstrating its effectiveness on the Mega-Z catalog and analyzing BAO features.

Contribution

It develops a simple correction method for biases caused by photo-z quality cuts in galaxy clustering analyses, extending previous work and applying it to real survey data.

Findings

Photo-z quality cuts can bias galaxy correlation measurements.

The correction method effectively restores unbiased clustering signals.

BAO scale measurements are consistent with and without quality cuts after correction.

Abstract

Photometric galaxy surveys are an essential tool to further our understanding of the large-scale structure of the universe, its matter and energy content and its evolution. These surveys necessitate the determination of the galaxy redshifts using photometric techniques (photo-z). Oftentimes, it is advantageous to remove from the galaxy sample those for which one suspects that the photo-z estimation might be unreliable. In this paper, we show that applying these photo-z quality cuts blindly can grossly bias the measured galaxy correlations within and across photometric redshift bins. We then extend the work of Ho et al. (2012) and Ross et al. (2011) to develop a simple and effective method to correct for this using the data themselves. Finally, we apply the method to the Mega-Z catalog, containing about a million luminous red galaxies in the redshift range 0.45 < z < 0.65. After splitting the sample into four \Delta z = 0.05 photo-z bins using the BPZ algorithm, we see how our corrections bring the measured galaxy auto- and cross-correlations into agreement with expectations. We then look for the BAO feature in the four bins, with and without applying the photo-z quality cuts, and find a broad agreement between the BAO scales extracted in both cases. Intriguingly, we observe a correlation between galaxy density and photo-z quality even before any photo-z quality cuts are applied. This may be due to uncorrected observational effects that result in correlated gradients across the sky of the galaxy density and the galaxy photo-z precision. Our correction procedure could also help to mitigate some of these systematic effects.