Cosmic Shear Measurements with DES Science Verification Data
Abstract
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 robust to the choice of shear measurement pipeline, either ngmix or im3shape, and robust to the choice of two-point statistic, including both real and Fourier-space statistics. Our results pass a suite of null tests including tests for B-mode contamination and direct tests for any dependence of the two-point functions on a set of 16 observing conditions and galaxy properties, such as seeing, airmass, galaxy color, galaxy magnitude, etc. We furthermore use a large suite of simulations to compute the covariance matrix of the cosmic shear measurements and assign statistical significance to our null tests. We find that our covariance matrix is consistent with the halo model prediction, indicating that it has the appropriate level of halo sample variance. We compare the same jackknife procedure applied to the data and the simulations in order to search for additional sources of noise not captured by the simulations. We find no statistically significant extra sources of noise in the data. The overall detection significance with tomography for our highest source density catalog is 9.7sigma. Cosmological constraints from the measurements in this work are presented in a companion paper (DES et al. 2015).
Cite
@article{arxiv.1507.05598,
title = {Cosmic Shear Measurements with DES Science Verification Data},
author = {M. R. Becker and M. A. Troxel and N. MacCrann and E. Krause and T. F. Eifler and O. Friedrich and A. Nicola and A. Refregier and A. Amara and D. Bacon and G. M. Bernstein and C. Bonnett and S. L. Bridle and M. T. Busha and C. Chang and S. Dodelson and B. Erickson and A. E. Evrard and J. Frieman and E. Gaztanaga and D. Gruen and W. Hartley and B. Jain and M. Jarvis and T. Kacprzak and D. Kirk and A. Kravtsov and B. Leistedt and E. S. Rykoff and C. Sabiu and C. Sanchez and H. Seo and E. Sheldon and R. H. Wechsler and J. Zuntz and T. Abbott and F. B. Abdalla and S. Allam and R. Armstrong and M. Banerji and A. H. Bauer and A. Benoit-Levy and E. Bertin and D. Brooks and E. Buckley-Geer and D. L. Burke and D. Capozzi and A. Carnero Rosell and M. Carrasco Kind and J. Carretero and F. J. Castander and M. Crocce and C. E. Cunha and C. B. D'Andrea and L. N. da Costa and D. L. DePoy and S. Desai and H. T. Diehl and J. P. Dietrich and P. Doel and A. Fausti Neto and E. Fernandez and D. A. Finley and B. Flaugher and P. Fosalba and D. W. Gerdes and R. A. Gruendl and G. Gutierrez and K. Honscheid and D. J. James and K. Kuehn and N. Kuropatkin and O. Lahav and T. S. Li and M. Lima and M. A. G. Maia and M. March and P. Martini and P. Melchior and C. J. Miller and R. Miquel and J. J. Mohr and R. C. Nichol and B. Nord and R. Ogando and A. A. Plazas and K. Reil and A. K. Romer and A. Roodman and M. Sako and E. Sanchez and V. Scarpine and M. Schubnell and I. Sevilla-Noarbe and R. C. Smith and M. Soares-Santos and F. Sobreira and E. Suchyta and M. E. C. Swanson and G. Tarle and J. Thaler and D. Thomas and V. Vikram and A. R. Walker and The DES Collaboration},
journal= {arXiv preprint arXiv:1507.05598},
year = {2016}
}
Comments
measurements and covariance matrices in machine readable format are available as ancillary data on the arXiv; high-resolution versions of figures can be downloaded from http://deswl.github.io