119 citations · 675 across the 30 of their papers we have counts for
30 papers
Fisher Forecasting for the DESC with
Paul Rogozenski, Sankarshana Srinivasan, Javier Sánchez +15
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) has begun its ten-year survey of the entire visible southern hemisphere. To ensure robust cosmological measurem…
KiDS-Legacy: The consistency test of the large-scale structure with Bernardeau-Nishimichi-Taruya transform
Shiming Gu, Ziang Yan, Ludovic van Waerbeke +10
We perform the first -cut cosmic shear analysis of the KiDS-Legacy survey. This method uses the Bernardeau-Nishimichi-Taruya (BNT) transform to construct weak-lensing kernels th…
Balancing bias, baryons, and scale cuts in LSST 3x2pt analysis
Ottavia Truttero, Maria Tsedrik, Joe Zuntz +4
Stage IV surveys such as LSST will probe deeply into the nonlinear regime, where systematic effects from galaxy bias and baryonic feedback become dominant and poorly constrained nu…
Probing Physics Beyond the Standard Model through Combined Analyses of Next-Generation Type Ia Supernova, CMB, and BAO Surveys
Srinivasan Raghunathan, Ayan Mitra, Nikolina Šarčević +11
Observations of Type Ia supernovae (\sne), which probe the late Universe, together with baryon acoustic oscillations (BAO) and the cosmic microwave background (CMB), which probe th…
Smokescreen: A Python package for data vector blinding and encryption in cosmological analyses
Arthur Loureiro, Jessica Muir, Jonathan Blazek +10
Smokescreen is an open-source Python library for data-vector concealment (blinding) in cosmological analyses. Data-vector blinding works by applying cosmology-dependent shifts to t…
Inverting Fisher biases for fast systematics exploration
Biancamaria Sersante, Christos Georgiou, Nora Elisa Chisari
Upcoming cosmological surveys will achieve increasingly precise constraints in cosmological parameter estimation. To guarantee the robustness of cosmological analyses, it is essent…
Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration
LSST Dark Energy Science Collaboration, Eric Aubourg, Camille Avestruz +63
The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will produce unprecedented volumes of heterogeneous astronomical data (images, catalogs, and alerts) that cha…
KiDS-Legacy: Constraining dark energy, neutrino mass, and curvature
Robert Reischke, Benjamin Stölzner, Benjamin Joachimi +25
We constrained minimally extended cosmological models with the cosmic shear analysis of the final data release from the Kilo-Degree Survey (KiDS-Legacy) in combination with externa…
KiDS-Legacy: Constraints on Horndeski gravity from weak lensing combined with galaxy clustering and cosmic microwave background anisotropies
Benjamin Stölzner, Robert Reischke, Matteo Grasso +25
We present constraints on modified gravity from a cosmic shear analysis of the final data release of the Kilo-Degree Survey (KiDS-Legacy) in combination with DESI measurements of b…
Cosmological constraints from galaxy clustering and galaxy-galaxy lensing with extended SubHalo Abundance Matching
Constance Mahony, Sergio Contreras, Raul E. Angulo +3
We present the first cosmological constraints from a joint analysis of galaxy clustering and galaxy-galaxy lensing using extended SubHalo Abundance Matching (SHAMe). We analyse ste…
KiDS-Legacy: Consistency of cosmic shear measurements and joint cosmological constraints with external probes
Benjamin Stölzner, Angus H. Wright, Marika Asgari +33
We present a cosmic shear consistency analysis of the final data release from the Kilo-Degree Survey (KiDS-Legacy). By adopting three tiers of consistency metrics, we compare cosmo…
KiDS-Legacy: Cosmological constraints from cosmic shear with the complete Kilo-Degree Survey
Angus H. Wright, Benjamin Stölzner, Marika Asgari +35
We present cosmic shear constraints from the completed Kilo-Degree Survey (KiDS), where the cosmological parameter , is…
KiDS-Legacy: Redshift distributions and their calibration
Angus H. Wright, Hendrik Hildebrandt, Jan Luca van den Busch +30
We present the redshift calibration methodology and bias estimates for the cosmic shear analysis of the fifth and final data release (DR5) of the Kilo-Degree Survey (KiDS). KiDS-DR…
Intrinsic galaxy alignments in the KiDS-1000 bright sample: dependence on colour, luminosity, morphology, and galaxy scale
Christos Georgiou, Nora Elisa Chisari, Maciej Bilicki +4
The intrinsic alignment (IA) of galaxies is a major astrophysical contaminant to weak gravitational lensing measurements, and the study of its dependence on galaxy properties helps…
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…
Third-order intrinsic alignment of SDSS BOSS LOWZ galaxies
Laila Linke, Susan Pyne, Benjamin Joachimi +4
Cosmic shear is a powerful probe of cosmology, but it is affected by the intrinsic alignment (IA) of galaxy shapes with the large-scale structure. Upcoming surveys like Euclid and…
B-modes from galaxy cluster alignments in future surveys
Christos Georgiou, Thomas Bakx, Juliard van Donkersgoed +1
Intrinsic alignment (IA) of source galaxies represents an important contaminant for upcoming cosmic shear surveys. In particular, it is expected on general grounds that IA contains…
The alignment of galaxies at the Baryon Acoustic Oscillation scale
Dennis van Dompseler, Christos Georgiou, Nora Elisa Chisari
Massive elliptical galaxies align pointing their major axis towards each other in the structure of the Universe. Such alignments are well-described at large scales through a linear…
KiDS-1000: Constraints on the intrinsic alignment of luminous red galaxies
Maria Cristina Fortuna, Henk Hoekstra, Harry Johnston +11
We constrain the luminosity and redshift dependence of the intrinsic alignment (IA) of a nearly volume-limited sample of luminous red galaxies selected from the fourth public data…
Halo shapes constrained from a pure sample of central galaxies in KiDS-1000
Christos Georgiou, Henk Hoekstra, Konrad Kuijken +12
We present measurements of , the ratio of the aligned components of the projected halo and galaxy ellipticities, for a sample of central galaxies using weak gravitational lens…
Tightening weak lensing constraints on the ellipticity of galaxy-scale dark matter haloes
Tim Schrabback, Henk Hoekstra, Ludovic Van Waerbeke +19
Cosmological simulations predict that galaxies are embedded into triaxial dark matter haloes, which appear approximately elliptical in projection. Weak gravitational lensing allows…
The halo model as a versatile tool to predict intrinsic alignments
Maria Cristina Fortuna, Henk Hoekstra, Benjamin Joachimi +4
Intrinsic alignments (IAs) of galaxies are an important contaminant for cosmic shear studies, but the modelling is complicated by the dependence of the signal on the source galaxy…