1. The PAU survey: Measurement of narrow-band galaxy properties with approximate bayesian computation
- Author
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Luca Tortorelli, Malgorzata Siudek, Beatrice Moser, Tomasz Kacprzak, Pascale Berner, Alexandre Refregier, Adam Amara, Juan García-Bellido, Laura Cabayol, Jorge Carretero, Francisco J. Castander, Juan De Vicente, Martin Eriksen, Enrique Fernandez, Enrique Gaztanaga, Hendrik Hildebrandt, Benjamin Joachimi, Ramon Miquel, Ignacio Sevilla-Noarbe, Cristóbal Padilla, Pablo Renard, Eusebio Sanchez, Santiago Serrano, Pau Tallada-Crespí, and Angus H. Wright
- Subjects
galaxy evolution ,galaxy surveys ,010308 nuclear & particles physics ,Astrophysics of Galaxies (astro-ph.GA) ,0103 physical sciences ,FOS: Physical sciences ,Astronomy and Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Astrophysics - Astrophysics of Galaxies ,010303 astronomy & astrophysics ,01 natural sciences ,Astrophysics::Galaxy Astrophysics - Abstract
Narrow-band imaging surveys allow the study of the spectral characteristics of galaxies without the need of performing their spectroscopic follow-up. In this work, we forward-model the Physics of the Accelerating Universe Survey (PAUS) narrow-band data. The aim is to improve the constraints on the spectral coefficients used to create the galaxy spectral energy distributions (SED) of the galaxy population model in Tortorelli et al. 2020. In that work, the model parameters were inferred from the Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) data using Approximate Bayesian Computation (ABC). This led to stringent constraints on the B-band galaxy luminosity function parameters, but left the spectral coefficients only broadly constrained. To address that, we perform an ABC inference using CFHTLS and PAUS data. This is the first time our approach combining forward-modelling and ABC is applied simultaneously to multiple datasets. We test the results of the ABC inference by comparing the narrow-band magnitudes of the observed and simulated galaxies using Principal Component Analysis, finding a very good agreement. Furthermore, we prove the scientific potential of the constrained galaxy population model to provide realistic stellar population properties by measuring them with the SED fitting code \textsc{CIGALE}. We use CFHTLS broad-band and PAUS narrow-band photometry for a flux-limited ($\mathrm{i}, 53 pages, 17 figures, Accepted for publication in JCAP
- Published
- 2021