Reconstructing the galaxy density field with photometric redshifts: I. Methodology and validation on stellar mass functions
Nicola Malavasi, Lucia Pozzetti, Olga Cucciati, Sandro Bardelli,, Andrea Cimatti

TL;DR
This study assesses how photometric redshift uncertainties impact the measurement of galaxy environments and the galaxy stellar mass function, providing guidelines for future large-scale surveys like Euclid.
Contribution
It introduces a methodology to evaluate environment reconstruction accuracy using mock catalogues and quantifies the effects of photometric redshift errors on galaxy environment and GSMF measurements.
Findings
High-precision photometric redshifts (σ ≤ 0.01) enable accurate environment reconstruction.
Volume height matching the photometric redshift error improves environment measurement.
Photometric redshift errors dampen GSMF differences by about 0.3 dex, but differences remain detectable.
Abstract
Measuring environment for large numbers of distant galaxies is still an open problem, for which we need galaxy positions and redshifts. Photometric redshifts are more easily available for large numbers of galaxies, but at the price of larger uncertainties than spectroscopic ones. In this work we study how photometric redshifts affect the measurement of galaxy environment and how this may limit an analysis of the galaxy stellar mass function (GSMF) in different environments. Using mock galaxy catalogues, we measured the environment with a fixed aperture method, using each galaxy's true and photometric redshifts. We varied the fixed aperture volume parameters and the photometric redshift uncertainties. We then computed GSMF as a function of redshift and environment. We found that only when using high-precision photometric redshifts with , the most extreme…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Remote Sensing in Agriculture
