| Full text | |
| Author(s): |
Coates, Louis
;
Adamek, Julian
;
Bull, Philip
;
Guandalin, Caroline
;
Clarkson, Chris
Total Authors: 5
|
| Document type: | Journal article |
| Source: | Monthly Notices of the Royal Astronomical Society; v. 504, n. 3, p. 10-pg., 2021-05-07. |
| Abstract | |
The standard cosmological model is inherently relativistic, and yet a wide range of cosmological observations can be predicted accurately from essentially Newtonian theory. This is not the case on 'ultralarge' distance scales, around the cosmic horizon size, however, where relativistic effects can no longer be neglected. In this paper, we present a novel suite of 53 fully relativistic simulations generated using the gevolution code, each covering the full sky out to z approximate to 0.85, and approximately 1930 deg(2) out to z approximate to 3.55. These include a relativistic treatment of massive neutrinos, as well as the gravitational potential that can be used to exactly calculate observables on the past light cone. The simulations are divided into two sets, the first being a set of 39 simulations of the same fiducial cosmology (based on the Euclid Flagship 2 cosmology) with different realizations of the initial conditions, and the second that fixes the initial conditions, but varies each of seven cosmological parameters in turn. Taken together, these simulations allow us to perform statistical studies and calculate derivatives of any relativistic observable with respect to cosmological parameters. As an example application, we compute the cross-correlation between the Doppler magnification term in the convergence, kappa(v), and the CDM + baryon density contrast, delta(cb), which arises only in a (special) relativistic treatment. We are able to accurately recover this term as predicted by relativistic perturbation theory, and study its sample variance and derivatives with respect to cosmological parameters. (AU) | |
| FAPESP's process: | 18/10396-2 - Statistical techniques for future surveys: extracting primordial physics out of the large-scale structure |
| Grantee: | Caroline Macedo Guandalin |
| Support Opportunities: | Scholarships in Brazil - Doctorate |