The PAU Survey: A Forward Modeling Approach for Narrow-band Imaging

Abstract

Weak gravitational lensing is a powerful probe of the dark sector, once measurement systematic errors can be controlled. In Refregier & Amara (2014), a calibration method based on forward modeling, called MCCL, was proposed. This relies on fast image simulations (e.g., UFig; Berge et al. 2013) that capture the key features of galaxy populations and measurement effects. The MCCL approach has been used in Herbel et al. (2017) to determine the redshift distribution of cosmological galaxy samples and, in the process, the authors derived a model for the galaxy population mainly based on broad-band photometry. Here, we test this model by forward modeling the 40 narrow-band photometry given by the novel PAU Survey (PAUS). For this purpose, we apply the same forced photometric pipeline on data and simulations using Source Extractor (Bertin & Arnouts 1996). The image simulation scheme performance is assessed at the image and at the catalogues level. We find good agreement for the distribution of pixel values, the magnitudes, in the magnitude-size relation and the interband correlations. A principal component analysis is then performed, in order to derive a global comparison of the narrow-band photometry between the data and the simulations. We use a `mixing' matrix to quantify the agreement between the observed and simulated sets of Principal Components (PCs). We find good agreement, especially for the first three most significant PCs. We also compare the coefficients of the PCs decomposition. While there are slight differences for some coefficients, we find that the distributions are in good agreement. Together, our results show that the galaxy population model derived from broad-band photometry is in good overall agreement with the PAUS data. This offers good prospect for incorporating spectral information to the galaxy model by adjusting it to the PAUS narrow-band data using forward modeling.

arXiv commentSubmitted to JCAP, 28 pages, 15 figures, 3 appendices

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Cited by in corpus (15)

• The PAU Survey: Early demonstration of photometric redshift performance in the COSMOS field
• Measurement of the B-band Galaxy Luminosity Function with Approximate Bayesian Computation
• The PAU Survey: Measurement of Narrow-band galaxy properties with Approximate Bayesian Computation
• The PAU Survey: Intrinsic alignments and clustering of narrow-band photometric galaxies
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• Simulation-based inference of deep fields: galaxy population model and redshift distributions
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• GalSBI: Phenomenological galaxy population model for cosmology using simulation-based inference
• GalSBI-SPS: a stellar population synthesis-based galaxy population model for cosmology and galaxy evolution applications