Euclid: Testing the Copernican principle with next-generation surveys⋆
Astronomy & Astrophysics EDP Sciences 671 (2023) a68
Euclid preparation – XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images
Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 520:3 (2023) 3529-3548
KiDS-Legacy calibration: Unifying shear and redshift calibration with the SKiLLS multi-band image simulations
Astronomy & Astrophysics EDP Sciences 670 (2023) A100-A100
Abstract:
We present SKiLLS, a suite of multi-band image simulations for the weak lensing analysis of the complete Kilo-Degree Survey (KiDS), dubbed KiDS-Legacy analysis. The resulting catalogues enable joint shear and redshift calibration, enhancing the realism and hence accuracy over previous efforts. To create a large volume of simulated galaxies with faithful properties and to a sufficient depth, we integrated cosmological simulations with high-quality imaging observations. We also improved the realism of simulated images by allowing the point spread function (PSF) to differ between CCD images, including stellar density variations and varying noise levels between pointings. Using realistic variable shear fields, we accounted for the impact of blended systems at different redshifts. Although the overall correction is minor, we found a clear redshift-bias correlation in the blending-only variable shear simulations, indicating the non-trivial impact of this higher-order blending effect. We also explored the impact of the PSF modelling errors and found a small yet noticeable effect on the shear bias. Finally, we conducted a series of sensitivity tests, including changing the input galaxy properties. We conclude that our fiducial shape measurement algorithm, lensfit, is robust within the requirements of lensing analyses with KiDS. As for future weak lensing surveys with tighter requirements, we suggest further investments in understanding the impact of blends at different redshifts, improving the PSF modelling algorithm and developing the shape measurement method to be less sensitive to the galaxy properties.Comment: 28 pages, 31 figures, 2 tables, minor revisions to match the final accepted versioEuclid: Forecasts from the void-lensing cross-correlation⋆
Astronomy & Astrophysics EDP Sciences 670 (2023) a47
Constraining ultra-high-energy cosmic ray composition through cross-correlations
Journal of Cosmology and Astroparticle Physics IOP Publishing 2022:12 (2022) 003