Optimal filter systems for photometric redshift estimation
N. Benitez, M. Moles, J.A.L. Aguerri, E. Alfaro, T. Broadhurst, J., Cabrera, F.J. Castander, J. Cepa, M. Cervino, D. Cristobal-Hornillos, A., Fernandez-Soto, R.M. Gonzalez-Delgado, L. Infante, I. Marquez, V.J. Martinez,, J. Masegosa, A. Del Olmo, J. Perea, F. Prada

TL;DR
This paper investigates how the number and design of filters in photometric surveys affect redshift estimation accuracy, finding that more filters with specific configurations significantly improve depth and precision.
Contribution
It introduces an analysis of filter number and bandwidth effects on photometric redshift performance, proposing optimal filter configurations for enhanced accuracy.
Findings
Systems with >=8 filters outperform 4-5 filter systems in depth and precision.
Optimal system with 9 logarithmically spaced, overlapping filters improves depth and accuracy.
A 20-filter system achieves much better redshift precision with minimal depth loss.
Abstract
In the next years, several cosmological surveys will rely on imaging data to estimate the redshift of galaxies, using traditional filter systems with 4-5 optical broad bands; narrower filters improve the spectral resolution, but strongly reduce the total system throughput. We explore how photometric redshift performance depends on the number of filters n_f, characterizing the survey depth through the fraction of galaxies with unambiguous redshift estimates. For a combination of total exposure time and telescope imaging area of 270 hrs m^2, 4-5 filter systems perform significantly worse, both in completeness depth and precision, than systems with n_f >= 8 filters. Our results suggest that for low n_f, the color-redshift degeneracies overwhelm the improvements in photometric depth, and that even at higher n_f, the effective photometric redshift depth decreases much more slowly with filter…
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