English

Covariances for cosmic shear and galaxy-galaxy lensing in the response approach

Cosmology and Nongalactic Astrophysics 2018-11-14 v2

Abstract

In this study, we measure the response of matter and halo projected power spectra PXY2D(k)P^{\rm 2D}_{\rm XY}(k) (X, Y are matter and/or halos), to a large-scale density contrast, δb\delta_{\rm b}, using separate universe simulations. We show that the fractional response functions, i.e., dlnPXY2D(k)/dδb\mathrm{d}\ln P^{\rm 2D}_{\rm XY}(k)/\mathrm{d}\delta_{\rm b}, are identical to their respective three-dimensional power spectra within simulation measurement errors. Then, using various NN-body simulation combinations (small-box simulations with periodic boundary conditions and sub-volumes of large-box simulations) to construct {mock observations of projected fields}, we study how super-survey modes, in both parallel and perpendicular directions to the projection direction, affect the covariance matrix of PXY2D(k)P^{\rm 2D}_{\rm XY}(k), known as super-sample covariance (SSC). Our results indicate that the SSC term provides dominant contributions to the covariances of matter-matter and matter-halo spectra at small scales but does not provide significant contributions in the halo-halo spectrum. We observe that the large-scale density contrast in each redshift shell causes most of the SSC effect, and we did not observe a SSC signature arising from large-scale tidal field within the levels of measurement accuracy. We also develop a response approach to calibrate the SSC term for cosmic shear correlation function and galaxy--galaxy weak lensing, and validate the method by comparison with the light-cone ray-tracing simulations. Our method provides a reasonably accurate, albeit computationally inexpensive, way to calibrate the covariance matrix for clustering observables available from wide-area galaxy surveys.

Keywords

Cite

@article{arxiv.1805.11629,
  title  = {Covariances for cosmic shear and galaxy-galaxy lensing in the response approach},
  author = {Ryuichi Takahashi and Takahiro Nishimichi and Masahiro Takada and Masato Shirasaki and Kosei Shiroyama},
  journal= {arXiv preprint arXiv:1805.11629},
  year   = {2018}
}

Comments

26 pages, 11 figures, accepted for publication in MNRAS