The PAU Survey: A Forward Modeling Approach for Narrow-band Imaging
| Autor: | Pau Tallada, Juan de Vicente, Alexandre Refregier, C. Padilla, Santiago Serrano, J. Carretero, Nadia Tonello, A. Alarcon, E. J. Sanchez, Lorenza Della Bruna, Jörg Herbel, Francisco J. Castander, Enrique Gaztanaga, Enrique Fernández, Luca Tortorelli, Martin Folger, Juan Garcia-Bellido, Lee Stothert, Adam Amara, Ramon Miquel, Martin Eriksen |
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| Rok vydání: | 2018 |
| Předmět: |
Physics
education.field_of_study Cosmology and Nongalactic Astrophysics (astro-ph.CO) Pixel 010308 nuclear & particles physics Population FOS: Physical sciences Astronomy and Astrophysics Astrophysics::Cosmology and Extragalactic Astrophysics Residual Astrophysics - Astrophysics of Galaxies 01 natural sciences Galaxy Redshift Photometry (optics) Astrophysics of Galaxies (astro-ph.GA) 0103 physical sciences Principal component analysis Statistical physics education 010303 astronomy & astrophysics Weak gravitational lensing galaxy surveys dark energy experiments dark matter experiments redshift surveys Astrophysics - Cosmology and Nongalactic Astrophysics |
| Zdroj: | Journal of Cosmology and Astroparticle Physics, 2018 (11) Journal of Cosmology and Astroparticle Physics |
| ISSN: | 0004-637X 1475-7516 0067-0049 1538-3881 |
| DOI: | 10.48550/arxiv.1805.05340 |
| Popis: | 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. Submitted to JCAP, 28 pages, 15 figures, 3 appendices |
| Databáze: | OpenAIRE |
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