GenISW_SimData

<strong>GenISW_SimData</strong> Maps of the Integrated Sachs-Wolfe and ancillary data are provided for the following N-body simulations. The techniques used to construct the maps are provided in *link*. <strong>Simulations</strong> If you would like to add ISW maps for your own N-body simulations please get in touch. MICE for contributions between 0&lt;z&lt;1.4 using the following methods: Spherical Bessel Transform with normal and derivative boundary conditions. Wiener filter. Francis &amp; Peacock (2010) approximation. Divided into redshift bins of Delta_z=0.2. <strong>Data Products</strong> ISW maps at nside=256 in units of K. ISW alms in units of K. Columns: real, imaginary. To generate HEALPix map with the desired nside. <pre><code class="language-python">import numpy as np import healpy as hp alm_fname = #provide name to alm file nside = #provide desired nside for map data = np.loadtxt(alm_fname, unpack=True) alm = data[0] + 1j*data[1] isw_map = hp.alm2map(alm, nside)</code></pre> Theoretical angular power spectra (Cls, which are provided unitless) with columns: l: spherical harmonic l modes. cl_ii: ISW auto-angular power spectra. cl_id: ISW-density cross-angular power spectra. cl_dd: Density auto-angular power spectra. cl_ii_limber: ISW auto-angular power spectra using the limber approximation. cl_id_limber: ISW-density cross-angular power spectra using the limber approximation. cl_dd_limber: Density auto-angular power spectra using the limber approximation. Note: ISW maps and alms have already been multiplied by Tcmb = 2.7255. <strong>Citing</strong> Please provide a link to this repository using the DOI link https://doi.org/10.5281/zenodo.4088698 and cite the following paper. <strong>Contact</strong> Email: [e-mail]