3 citations · 5 across the 10 of their papers we have counts for
10 papers
Constraints on Dynamical Dark Energy from Multiple Probes in the Full Dark Energy Survey
DES Collaboration, T. M. C. Abbott, M. Adamow +166
We present results on dark energy evolution, assuming a time-dependent equation of state , from growth and geometric probes using the full six-year Dark Energy S…
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…
Brightest Cluster Galaxy ellipticity as proxy for halo shape: Orientation bias, assembly bias, and potential selection effects in SZ-selected clusters
Radhakrishnan Srinivasan, Tae-hyeon Shin, Anja von der Linden +93
The orientation of triaxial galaxy clusters with respect to the line-of-sight is expected to be one of the prime sources of scatter and potential bias in optical observables (e.g.,…
Tidal alignment and tidal torquing modeling for the cosmic shear three-point correlation function and mass aperture skewness
Rafael C. H. Gomes, Kyle Miller, Sunao Sugiyama +3
We present a model for the intrinsic alignment contamination of the shear three-point correlation function and skewness of the mass aperture statistic using the tidal alignment and…
Euclid preparation. Calibrated intrinsic galaxy alignments in the Euclid Flagship simulation
Euclid Collaboration, K. Hoffmann, R. Paviot +298
Intrinsic alignments of galaxies are potentially a major contaminant of cosmological analyses of weak gravitational lensing. We construct a semi-analytic model of galaxy ellipticit…
Euclid preparation. Testing analytic models of galaxy intrinsic alignments in the Euclid Flagship simulation
Euclid Collaboration, R. Paviot, B. Joachimi +293
We model intrinsic alignments (IA) in Euclid's Flagship simulation to investigate its impact on Euclid's weak lensing signal. Our IA implementation in the Flagship simulation takes…
Confronting cosmic shear astrophysical uncertainties: DES Year 3 revisited
Leah Bigwood, Jamie McCullough, Jared Siegel +19
Cosmology from weak gravitational lensing has been limited by astrophysical uncertainties in baryonic feedback and intrinsic alignments. By calibrating these effects using external…
Dark Energy Survey Year 6 Results: Clustering-redshifts and importance sampling of Self-Organised-Maps realizations for pt samples
W. d'Assignies, G. M. Bernstein, B. Yin +92
This work is part of a series establishing the redshift framework for the pt analysis of the Dark Energy Survey Year 6 (DES Y6). For DES Y6, photometric redshift distribu…
Non-linear infusion of intrinsic alignment and source clustering: impact on non-Gaussian cosmic shear statistics
J. Harnois-Déraps, N. Šarčević, L. Medina Varela +15
Intrinsic alignments (IA) of galaxies is one of the key secondary signals to cosmic shear measurements, and must be modeled to interpret weak lensing data and infer the correct cos…
Optimal intrinsic alignment estimators in the presence of redshift-space distortions
Claire Lamman, Jonathan Blazek, Daniel J. Eisenstein
We present estimators for quantifying intrinsic alignments in large spectroscopic surveys that efficiently capture line-of-sight (LOS) information while being relatively insensitiv…