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20042023
most citedKiDS-450: Cosmological parameter constraints from tomographic weak gravitational lensing

1k citations · 19.7k across the 195 of their papers we have counts for

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21 papers · 1 filter

astro-ph.CO2022

Euclid preparation. XXVII. Covariance model validation for the 2-point correlation function of galaxy clusters

Euclid Collaboration, A. Fumagalli, A. Saro +191

Aims. We validate a semi-analytical model for the covariance of real-space 2-point correlation function of galaxy clusters. Methods. Using 1000 PINOCCHIO light cones mimicking the…

astro-ph.CO2022

Potential scientific synergies in weak lensing studies between the CSST and Euclid space probes

D. Z. Liu, X. M. Meng, X. Z. Er +24

Aims. With the next generation of large surveys coming to the stage of observational cosmology soon, it is important to explore their potential synergies and to maximise their scie…

astro-ph.CO2022★ 38 cited

KiDS-Legacy calibration: unifying shear and redshift calibration with the SKiLLS multi-band image simulations

Shun-Sheng Li, Konrad Kuijken, Henk Hoekstra +9

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 catal…

astro-ph.CO2022★ 51 cited

KiDS-1000: Combined halo-model cosmology constraints from galaxy abundance, galaxy clustering and galaxy-galaxy lensing

Andrej Dvornik, Catherine Heymans, Marika Asgari +14

We present constraints on the flat CDM cosmological model through a joint analysis of galaxy abundance, galaxy clustering and galaxy-galaxy lensing observables with the Kilo-Deg…

astro-ph.GA2022★ 26 cited

Euclid preparation. XXV. The Euclid Morphology Challenge -- Towards model-fitting photometry for billions of galaxies

Euclid Collaboration, E. Merlin, M. Castellano +218

The ESA Euclid mission will provide high-quality imaging for about 1.5 billion galaxies. A software pipeline to automatically process and analyse such a huge amount of data in real…

astro-ph.IM2022

The PAU Survey & Euclid: Improving broad-band photometric redshifts with multi-task learning

L. Cabayol, M. Eriksen, J. Carretero +123

Current and future imaging surveys require photometric redshifts (photo-zs) to be estimated for millions of galaxies. Improving the photo-z quality is a major challenge but is need…