1.2k citations · 1.7k across the 18 of their papers we have counts for
15 papers · 1 filter
The Intrinsic Alignment of Red Galaxies in DES Y1 redMaPPer Galaxy Clusters
C. Zhou, A. Tong, M. A. Troxel +79
Clusters of galaxies are sensitive to the most nonlinear peaks in the cosmic density field. The weak gravitational lensing of background galaxies by clusters can allow us to infer…
ShapePipe: a new shape measurement pipeline and weak-lensing application to UNIONS/CFIS data
Axel Guinot, Martin Kilbinger, Samuel Farrens +16
UNIONS is an ongoing collaboration that will provide the largest deep photometric survey of the Northern sky in four optical bands to date. As part of this collaboration, CFIS is t…
Shear measurement bias II: a fast machine learning calibration method
Arnau Pujol, Jerome Bobin, Florent Sureau +2
We present a new shear calibration method based on machine learning. The method estimates the individual shear responses of the objects from the combination of several measured pro…
Euclid Preparation IV. Impact of undetected galaxies on weak-lensing shear measurements
Euclid Collaboration, N. Martinet, T. Schrabback +22
In modern weak-lensing surveys, the common approach to correct for residual systematic biases in the shear is to calibrate shape measurement algorithms using simulations. These sim…
Cosmological lensing ratios with DES Y1, SPT and Planck
J. Prat, E. J. Baxter, T. Shin +131
Correlations between tracers of the matter density field and gravitational lensing are sensitive to the evolution of the matter power spectrum and the expansion rate across cosmic…
Measuring Linear and Non-linear Galaxy Bias Using Counts-in-Cells in the Dark Energy Survey Science Verification Data
A. I. Salvador, F. J. Sánchez, A. Pagul +52
Non-linear bias measurements require a great level of control of potential systematic effects in galaxy redshift surveys. Our goal is to demonstrate the viability of using Counts-i…
A highly precise shear bias estimator independent of the measured shape noise
Arnau Pujol, Martin Kilbinger, Florent Sureau +1
We present a new method to estimate shear measurement bias in image simulations that significantly improves the precision with respect to current techniques. Our method is based on…
Dark Energy Survey Year 1 Results: Curved-Sky Weak Lensing Mass Map
C. Chang, A. Pujol, B. Mawdsley +117
We construct the largest curved-sky galaxy weak lensing mass map to date from the DES first-year (DES Y1) data. The map, about 10 times larger than previous work, is constructed ov…
Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing
DES Collaboration, T. M. C. Abbott, F. B. Abdalla +197
We present cosmological results from a combined analysis of galaxy clustering and weak gravitational lensing, using 1321 deg of imaging data from the first year of the D…
Shear measurement bias I: dependencies on methods, simulation parameters and measured parameters
Arnau Pujol, Florent Sureau, Jerome Bobin +3
We present a study of the dependencies of shear bias on simulation (input) and measured (output) parameters, noise, point-spread function anisotropy, pixel size, and the model bias…
Galaxy bias from the Dark Energy Survey Science Verification data: combining galaxy density maps and weak lensing maps
C. Chang, A. Pujol, E. Gaztanaga +80
We measure the redshift evolution of galaxy bias for a magnitude-limited galaxy sample by combining the galaxy density maps and weak lensing shear maps for a 116 deg ar…
A new method to measure galaxy bias by combining the density and weak lensing fields
Arnau Pujol, Chihway Chang, Enrique Gaztañaga +9
We present a new method to measure the redshift-dependent galaxy bias by combining information from the galaxy density field and the weak lensing field. This method is based on Ama…
What determines large scale galaxy clustering: halo mass or local density?
Arnau Pujol, Kai Hoffmann, Noelia Jiménez +1
Using dark matter simulations we show how halo bias is determined by local density and not by halo mass. This is not totally surprising, as according to the peak-background split m…
Subhaloes gone Notts: the clustering properties of subhaloes
Arnau Pujol, Enrique Gaztanaga, Carlo Giocoli +13
We present a study of the substructure finder dependence of subhalo clustering in the Aquarius Simulation. We run 11 different subhalo finders on the haloes of the Aquarius Simulat…
Are the halo occupation predictions consistent with large scale galaxy clustering?
Arnau Pujol, Enrique Gaztanaga
We study how well we can reconstruct the 2-point clustering of galaxies on linear scales, as a function of mass and luminosity, using the halo occupation distribution (HOD) in seve…