Challenges for the new generation of wide-field photometric redshift surveys like ...
| Grant number: | 16/23567-4 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Effective date (Start): | July 01, 2017 |
| Effective date (End): | December 31, 2020 |
| Field of knowledge: | Physical Sciences and Mathematics - Astronomy - Extragalactic Astrophysics |
| Principal Investigator: | Luis Raul Weber Abramo |
| Grantee: | Antonio David Montero Dorta |
| Host Institution: | Instituto de Física (IF). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| Associated research grant: | 12/00800-4 - The 3-D universe: astrophysics with large galaxy surveys, AP.TEM |
| Associated scholarship(s): | 18/13369-6 - Exploring the halo-galaxy connection with VIPERS, BE.EP.PD |
Abstract Massive cosmological surveys such as BOSS, eBOSS and the future DESI, J-PAS, Euclid and LSST will collect data for millions to, ultimately, billions of galaxies up to redshift z = 2 and beyond, with the primary goal of understanding the nature of the dark energy that drives the present-day accelerated expansion of the universe. These galaxy samples have tremendous potential, not only within the field of cosmology, but also as a tool for studying the physical processes involved in the formation and evolution of galaxies and for constraining the properties of the underlying dark-matter large scale structure. The unprecedented statistics and volume coverage provided by these surveys come, however, at the cost of lower-quality individual-object data (e.g., low signal-to-noise spectra, large photometric errors), which motivates the development of innovative data analysis tools. This project starts from the need of optimizing the amount of information that we can extract from massive cosmological surveys and follows the idea that the statistical approach to the design of this type of experiments must be reflected in the way analyze the data. I have recently determined the main statistical properties (e.g. the luminosity function, LF) of the massive red galaxy population (one of the main tracers of the LSS in dark-energy surveys) at z < 0.55 from the BOSS survey, using forward- modeling Bayesian-inference techniques. We now propose to use the same machinery to trace the evolution of these galaxies from redshift z < 1 in a fully consistent way, using other cosmological surveys, which are subject to similar selection effects to the ones that we have addressed in BOSS. Importantly, these results will be used as a platform towards cosmological and LSS studies. First, we will apply similar Bayesian-inference techniques to directly constrain the properties of dark-matter halos using weak gravitational lensing. Second, the intrinsic statistical characterization of the massive galaxy population will be combined with N-body numerical simulations to constrain halo-galaxy connection models. Third, additional constraints on these models will be obtained from the clustering measurements provided by cosmological surveys and our LF results. (AU) | |
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