Maps of the Integrated Sachs-Wolfe and ancillary data are provided for the following N-body simulations: MICE Grand Challenge Lightcone Simulation File Structure MICE_ISW_map_zmin_0.0_zmax_1.4_SBT_normal_nside_256.fits Main ISW map for MICE in healpix format at nside=256 for constributions from z = 0 to 1.4 constructed from normal boundary spherical Bessel transforms. MICE_alm_zmin_0.0_zmax_1.4_SBT_normal.txt Alms for the above, to generate maps at the desired nside MICE_Full.zip ISW maps, alms and theory cls for MICE ISW for contribution from z = 0 to 1.4 MICE_dz_02.zip Same as above except these are divided into redshift bins of dz=0.2 Methods Spherical Bessel Transform with normal and derivative boundary conditions. Spherical Harmonic Scaling. Francis & Peacock (2010) approximation. Data Products ISW maps in healpix format at nside=256 in units of K. ISW alms in units of K provided in ascii format Columns: real, imaginary. To generate HEALPix map with the desired nside: 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) 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. Citing Please cite the DOI for the zenodo repository. Contact Email: knaidoo@cft.edu.pl