Crowded Field Galaxy Photometry: Precision Colors in the CLASH Clusters
Thomas Connor, Megan Donahue, Daniel D. Kelson, John Moustakas, Dan, Coe, Marc Postman, Larry D. Bradley, Anton M. Koekemoer, Peter Melchior,, Keiichi Umetsu, G. Mark Voit

TL;DR
This paper introduces a new mode-filtering photometry method for galaxy clusters, significantly improving detection, photometric accuracy, and redshift precision, leading to better cluster member identification and galaxy property analysis.
Contribution
A novel mode-filtering technique for crowded field photometry that enhances detection accuracy and redshift precision in galaxy cluster studies.
Findings
Halved scatter in red sequence photometry.
Reduced redshift deviation by ~30%.
Achieved deep luminosity function measurements.
Abstract
We present a new method for photometering objects in galaxy clusters. We introduce a mode-filtering technique for removing spatially variable backgrounds, improving both detection and photometric accuracy (roughly halving the scatter in the red sequence compared to previous catalogs of the same clusters). This method is based on robustly determining the distribution of background pixel values and should provide comparable improvement in photometric analysis of any crowded fields. We produce new multiwavelength catalogs for the 25 CLASH cluster fields in all 16 bandpasses from the UV through the near IR, as well as rest-frame magnitudes. A comparison with spectroscopic values from the literature finds a ~30% decrease in the redshift deviation from previously-released CLASH photometry. This improvement in redshift precision, in combination with a detection scheme designed to maximize…
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