| Title: |
The miniJPAS survey. Evolution of the luminosity and stellar mass functions of galaxies up to $z \sim 0.7$ |
| Authors: |
Díaz-García, L. A., Delgado, R. M. González, García-Benito, R., Martínez-Solaeche, G., Rodríguez-Martín, J. E., López-Sanjuan, C., Hernán-Caballero, A., Márquez, I., Vílchez, J. M., Abramo, R., Alcaniz, J., Benítez, N., Bonoli, S., Carneiro, S., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Marín-Franch, A., de Oliveira, C. Mendes, Moles, M., Sodré, L., Taylor, K., Varela, J., Ramió, H. Vázquez |
| Source: |
A&A 688, A113 (2024) |
| Publication Year: |
2023 |
| Collection: |
Astrophysics |
| Subject Terms: |
Astrophysics - Astrophysics of Galaxies |
| More Details: |
We aim at developing a robust methodology for constraining the luminosity and stellar mass functions (LMFs) of galaxies by solely using data from multi-filter surveys and testing the potential of these techniques for determining the evolution of the miniJPAS LMFs up to $z\sim0.7$. Stellar mass and $B$-band luminosity for each of the miniJPAS galaxies are constrained using an updated version of the SED-fitting code MUFFIT, whose values are based on composite stellar population models and the probability distribution functions of the miniJPAS photometric redshifts. Galaxies are classified through the stellar mass versus rest-frame colour diagram corrected for extinction. Different stellar mass and luminosity completeness limits are set and parametrised as a function of redshift, for setting limits in our flux-limited sample ($r_\mathrm{SDSS}<22$). The miniJPAS LMFs are parametrised according to Schechter-like functions via a novel maximum likelihood method accounting for uncertainties, degeneracies, probabilities, completeness, and priors. Overall, our results point to a smooth evolution with redshift ($0.0510.7$).
Comment: 31 pages, 15 figures. Submitted to A&A |
| Document Type: |
Working Paper |
| DOI: |
10.1051/0004-6361/202348789 |
| Access URL: |
http://arxiv.org/abs/2311.18051 |
| Accession Number: |
edsarx.2311.18051 |
| Database: |
arXiv |
