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Adrian P. Schirra

Publications and source records attributed to Adrian P. Schirra.

2 recordsLinked to original sources

A model-independent measurement of the expansion and growth rates from BOSS using the FreePower method

In this work we provide a data analysis of the BOSS galaxy clustering data with the recently proposed FreePower method, which adopts as parameters the power spectrum band-powers, the expansion rate, and the growth rate instead of specific cosmological parametrizations. It relies on the Alcock-Paczyński effect and redshift-space distortions, and makes use of one-loop perturbation theory for biased tracers. In this way, we obtain for the first time constraints on the linear growth rate, on the Hubble parameter, as well as on the dimensionless distance $H_0 D_A$ and various bias functions, that are independent of a model for the power spectrum shape and thus of both the early and late-time cosmological modelling. Using weakly-informative priors, requiring basically that $σ_8 \in [0.67, 1.07]$ at 95% CI, we find at $z_{\rm eff}=0.38$, $f=0.67^{+0.20}_{-0.19}$, $H/H_0=1.033^{+0.13}_{-0.081}$, $H_0 D_A = 0.264^{+0.026}_{-0.039}$ and at $z_{\rm eff}=0.61$, $f=0.82^{+0.25}_{-0.20}$, $H/H_0=1.085^{+0.16}_{-0.067}$, $H_0 D_A = 0.390^{+0.036}_{-0.046}$. We find lower $H/H_0$ results than expected from Planck 2018 $Λ$CDM results at a confidence level of 1.7$σ$ ($2.1σ$) for low-$z$ (high-$z$). These results form a proof-of-principle of the FreePower method. We also get constraints on the bias parameters which are in agreement with constraints from previous BOSS analyses, which serves as a cross-check of our pipeline.

astro-ph.CO↗

Bringing faint active galactic nuclei (AGNs) to light: a view from large-scale cosmological simulations

The sensitivity of X-ray facilities and our ability to detect fainter active galactic nuclei (AGNs) will increase with the upcoming Athena mission and the AXIS and Lynx concept missions, thus improving our understanding of supermassive black holes (BHs) in a luminosity regime that can be dominated by X-ray binaries. We analyze the population of faint AGN (L_x (2-10 keV) < 10^42 erg/s) in the Illustris, TNG100, EAGLE, and SIMBA cosmological simulations, and find that the properties of their host galaxies vary from one simulation to another. In Illustris and EAGLE, faint AGN are powered by low-mass BHs located in low-mass star-forming galaxies. In TNG100 and SIMBA, they are mostly associated with more massive BHs in quenched massive galaxies. We model the X-ray binary populations (XRB) of the simulated galaxies, and find that AGN often dominate the galaxy AGN+XRB hard X-ray luminosity at z>2, while XRBs dominate in some simulations at z<2. Whether the AGN or XRB emission dominates in star-forming and quenched galaxies depends on the simulations. These differences in simulations can be used to discriminate between galaxy formation models with future high-resolution X-ray observations. We compare the luminosity of simulated faint AGN host galaxies to observations of stacked galaxies from Chandra. Our comparison indicates that the simulations post-processed with our X-ray modeling tend to overestimate the AGN+XRB X-ray luminosity; luminosity that can be strongly affected by AGN obscuration. Some simulations reveal clear AGN trends as a function of stellar mass (e.g., galaxy luminosity drop in massive galaxies), which are not apparent in the observations.

astro-ph.GA↗