208 citations · 2.3k across the 64 of their papers we have counts for
13 papers · 1 filter
Second-Generation Curvelets on the Sphere
Jennifer Y. H. Chan, Boris Leistedt, Thomas D. Kitching +1
Curvelets are efficient to represent highly anisotropic signal content, such as a local linear and curvilinear structure. First-generation curvelets on the sphere, however, suffere…
Unbiased methods for removing systematics from galaxy clustering measurements
Franz Elsner, Boris Leistedt, Hiranya V. Peiris
Measuring the angular clustering of galaxies as a function of redshift is a powerful method for extracting information from the three-dimensional galaxy distribution. The precision…
3D weak lensing with spin wavelets on the ball
Boris Leistedt, Jason D. McEwen, Thomas D. Kitching +1
We construct the spin flaglet transform, a wavelet transform to analyze spin signals in three dimensions. Spin flaglets can probe signal content localized simultaneously in space a…
Directional spin wavelets on the sphere
Jason D. McEwen, Boris Leistedt, Martin Büttner +2
We construct a directional spin wavelet framework on the sphere by generalising the scalar scale-discretised wavelet transform to signals of arbitrary spin. The resulting framework…
A novel sampling theorem on the rotation group
J. D. McEwen, M. Büttner, B. Leistedt +2
We develop a novel sampling theorem for functions defined on the three-dimensional rotation group SO(3) by connecting the rotation group to the three-torus through a periodic exten…
Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing
C. Bonnett, M. A. Troxel, W. Hartley +104
We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model- or machine learni…
Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data
B. Leistedt, H. V. Peiris, F. Elsner +92
Spatially-varying depth and characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties in modern galaxy surv…
redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data
E. Rozo, E. S. Rykoff, A. Abate +84
We introduce redMaGiC, an automated algorithm for selecting Luminous Red Galaxies (LRGs). The algorithm was specifically developed to minimize photometric redshift uncertainties in…
No galaxy left behind: accurate measurements with the faintest objects in the Dark Energy Survey
E. Suchyta, E. M. Huff, J. Aleksić +72
Accurate statistical measurement with large imaging surveys has traditionally required throwing away a sizable fraction of the data. This is because most measurements have have rel…
Cosmic Shear Measurements with DES Science Verification Data
M. R. Becker, M. A. Troxel, N. MacCrann +102
We present measurements of weak gravitational lensing cosmic shear two-point statistics using Dark Energy Survey Science Verification data. We demonstrate that our results are robu…
CMB lensing tomography with the DES Science Verification galaxies
T. Giannantonio, P. Fosalba, R. Cawthon +101
We measure the cross-correlation between the galaxy density in the Dark Energy Survey (DES) Science Verification data and the lensing of the cosmic microwave background (CMB) as re…
Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES Science Verification data
M. Crocce, J. Carretero, A. H. Bauer +84
We study the clustering of galaxies detected at in the Science Verification observations of the Dark Energy Survey (DES). Two-point correlation functions are measured usin…
Analysing the polarisation of the CMB with spin scale-discretised wavelets
Boris Leistedt, Jason D. McEwen, Martin Büttner +3
We discuss a new scale-discretised directional wavelet transform to analyse spin signals defined on the sphere, in particular the polarisation of the cosmic microwave background (C…