Constraining cosmology with the Gaia-unWISE Quasar Catalog and CMB lensing: structure growth

Journal of Cosmology and Astroparticle Physics IOP Publishing 2023:11 (2023) 43

Authors:

David Alonso, Giulio Fabbian, Kate Storey-Fisher, Anna-Christina Eilers, Carlos Garcia-Garcia, David Hogg, Hans Walter Rix

Abstract:

We study the angular clustering of Quaia, a Gaia- and unWISE-based catalog of over a million quasars with an exceptionally well-defined selection function. With it, we derive cosmology constraints from the amplitude and growth of structure across cosmic time. We divide the sample into two redshift bins, centered at z = 1.0 and z = 2.1, and measure both overdensity auto-correlations and cross-correlations with maps of the Cosmic Microwave Background convergence measured by Planck. From these data, and including a prior from measurements of the baryon acoustic oscillations scale, we place constraints on the amplitude of the matter power spectrum σ8 = 0.766 ± 0.034, and on the matter density parameter Ωm = 0.343+0.017−0.019. These measurements are in reasonable agreement with Planck at the ∼ 1.4σ level, and are found to be robust with respect to observational and theoretical uncertainties. We find that our slightly lower value of σ8 is driven by the higher-redshift sample, which favours a low amplitude of matter fluctuations. We present plausible arguments showing that this could be driven by contamination of the CMB lensing map by high-redshift extragalactic foregrounds, which should also affect other cross-correlations with tracers of large-scale structure beyond z ∼ 1.5. Our constraints are competitive with those from state-of-the-art 3×2-point analyses, but arise from a range of scales and redshifts that is highly complementary to those covered by cosmic shear data and most galaxy clustering samples. This, coupled with the unprecedented combination of volume and redshift precision achieved by Quaia, allows us to break the usual degeneracy between Ωm and σ8.

KiDS-1000: Cosmology with improved cosmic shear measurements

Astronomy & Astrophysics EDP Sciences 679 (2023) a133

Authors:

Shun-Sheng Li, Henk Hoekstra, Konrad Kuijken, Marika Asgari, Maciej Bilicki, Benjamin Giblin, Catherine Heymans, Hendrik Hildebrandt, Benjamin Joachimi, Lance Miller, Jan Luca van den Busch, Angus H Wright, Arun Kannawadi, Robert Reischke, HuanYuan Shan

Evaluating the reconstruction of individual haloes in constrained cosmological simulations

(2023)

Authors:

Richard Stiskalek, Harry Desmond, Julien Devriendt, Adrianne Slyz

MIGHTEE: multi-wavelength counterparts in the COSMOS field

Monthly Notices of the Royal Astronomical Society Oxford University Press 527:2 (2023) 3231-3245

Authors:

Imogen H Whittam, Matthew Prescott, Catherine L Hale, Matthew J Jarvis, Ian Heywood, Rebecca A Bowler, Peter W Hatfield, Rohan J Varadaraj

Abstract:

In this paper, we combine the Early Science radio continuum data from the MeerKAT International GHz Tiered Extragalactic Exploration (MIGHTEE) Survey, with optical and near-infrared data and release the cross-matched catalogues. The radio data used in this work covers 0.86 deg2 of the COSMOS field, reaches a thermal noise of 1.7 μJy beam−1 and contains 6102 radio components. We visually inspect and cross-match the radio sample with optical and near-infrared data from the Hyper Suprime-Cam (HSC) and UltraVISTA surveys. This allows the properties of active galactic nuclei and star-forming populations of galaxies to be probed out to z ≈ 5. Additionally, we use the likelihood ratio method to automatically cross-match the radio and optical catalogues and compare this to the visually cross-matched catalogue. We find that 94 per cent of our radio source catalogue can be matched with this method, with a reliability of 95 per cent. We proceed to show that visual classification will still remain an essential process for the cross-matching of complex and extended radio sources. In the near future, the MIGHTEE survey will be expanded in area to cover a total of ∼20 deg2; thus the combination of automated and visual identification will be critical. We compare the redshift distribution of SFG and AGN to the SKADS and T-RECS simulations and find more AGN than predicted at z ∼ 1.

Optimal Inflationary Potentials

(2023)

Authors:

Tomás Sousa, Deaglan J Bartlett, Harry Desmond, Pedro G Ferreira