Reconstruction of Convergence power spectrum from SNLS weak lensing data
Abstract
We estimate the lensing convergence power spectrum from supernovae magnification data using real space correlation function technique. For our analysis we have utilized 296 supernovae from 5-year Supernovae Legacy Survey in the weak lensing limit. The data we used consists of measurements from four different patches, each of them covers almost 1 square degree of the sky, merged together. We demonstrate that it is quite possible to have a good estimate of the convergence power spectrum from this data. Our primary intention is to extract meaningful informations from SNLS weak lensing data and to demonstrate how the power spectrum for convergence can be reconstructed therefrom, without going into the nitty-gritty of errors, although we have done some error analysis in the process.
Cite
@article{arxiv.1802.09014,
title = {Reconstruction of Convergence power spectrum from SNLS weak lensing data},
author = {Ayan Mitra and Barun Kumar Pal and Supratik Pal},
journal= {arXiv preprint arXiv:1802.09014},
year = {2019}
}
Comments
11 pages, 7 figures We are rewriting the paper in detail. There are many modifications, so we want withdrawal of this paper. One author name has been also added. The data has been analyzed with updated technique which demands a fresh submission