GenISW: Simulated Integrated Sachs-Wolfe Maps

Maps of the Integrated Sachs-Wolfe and ancillary data are provided for the following N-body simulations:

1. 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