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Precise photometric redshifts with a narrow-band filter set: the PAU survey at the William Herschel Telescope

2014/02/28 by Pol Martí, Ramon Miquel, R. Miquel +7 · 2 citations
Computer Science · Physics and Astronomy · #Adaptive optics and wavefront sensing #Advanced Image Processing Techniques #Algorithm #Astronomy #Astrophysics #Bin #Filter (signal processing) #Galaxies: Formation, Evolution, Phenomena #Galaxy #Optics #Photometric redshift #Physics #Redshift #Redshift survey #Sky #Spectral line #Telescope #Universe #Wavelength #William Herschel Telescope #astro-ph.CO

paper · pdf · doi:10.1093/mnras/stu801

published as Mon. Not. R. Astron. Soc. 442 (2014) 92 · Accepted for publication in MNRAS. 19 pages, 18 figures, 6 tables

arxiv created 2014/04/24 · openalex publication_date 2014/06/04 · arxiv updated 2014/06/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

The Physics of the Accelerating Universe (PAU) survey at the William Herschel Telescope will use a new optical camera (PAUCam) with a large set of narrow-band filters to perform a photometric galaxy survey with a quasi-spectroscopic redshift precision of σ(z)/(1 + z) ∼ 0.0035 and map the large-scale structure of the universe in three dimensions up to iAB < 22.5–23.0. In this paper, we present a detailed photo-z performance study using photometric simulations for 40 equally spaced 12.5-nm-wide (full width at half-maximum) filters with an ∼25 per cent overlap and spanning the wavelength range from 450 to 850 nm, together with a ugrizY broad-band filter system. We then present the migration matrix rij, containing the probability that a galaxy in a true redshift bin j is measured in a photo-z bin i, and study its effect on the determination of galaxy auto- and cross-correlations. Finally, we also study the impact on the photo-z performance of small variations of the filter set in terms of width, wavelength coverage, etc., and find a broad region where slightly modified filter sets provide similar results, with the original set being close to optimal.

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