119 citations · 247 across the 34 of their papers we have counts for
6 papers · 1 filter
KiDS-Legacy: Angular galaxy clustering from deep surveys with complex selection effects
Ziang Yan, Angus H. Wright, Nora Elisa Chisari +20
Photometric galaxy surveys, despite their limited resolution along the line of sight, encode rich information about the large-scale structure (LSS) of the Universe thanks to the hi…
KiDS-Legacy: Covariance validation and the unified OneCovariance framework for projected large-scale structure observables
Robert Reischke, Sandra Unruh, Marika Asgari +24
We introduce OneCovariance, an open-source software designed to accurately compute covariance matrices for an arbitrary set of two-point summary statistics across a variety of larg…
6x2pt: Forecasting gains from joint weak lensing and galaxy clustering analyses with spectroscopic-photometric galaxy cross-correlations
Harry Johnston, Nora Elisa Chisari, Shahab Joudaki +25
We explore the enhanced self-calibration of photometric galaxy redshift distributions, , through the combination of up to six two-point functions. Our config…
Euclid and KiDS-1000: Quantifying the impact of source-lens clustering on cosmic shear analyses
L. Linke, S. Unruh, A. Wittje +150
The transition from current Stage-III surveys such as the Kilo-Degree Survey (KiDS) to the increased area and redshift range of Stage IV surveys such as Euclid will significantly i…
KiDS-1000 and DES-Y1 combined: Cosmology from peak count statistics
Joachim Harnois-Deraps, Sven Heydenreich, Benjamin Giblin +10
We analyse the fourth data release of the Kilo Degree Survey (KiDS-1000) and extract cosmological parameter constraints based on the cosmic shear peak count statistics. Peaks are i…
Improved Weak Lensing Photometric Redshift Calibration via StratLearn and Hierarchical Modeling
Maximilian Autenrieth, Angus H. Wright, Roberto Trotta +3
Discrepancies between cosmological parameter estimates from cosmic shear surveys and from recent Planck cosmic microwave background measurements challenge the ability of the highly…