Lensing reconstructions 02.00

From CMB-S4 wiki
Revision as of 08:29, 27 September 2018 by Jcarron (talk | contribs)
Jump to navigationJump to search

This page documents the 600 lensing maps (healpy alm fits file, lmax=3000) available at


There are 6 type of maps, labeled with

sim_ptt_????_lmax3000.fits : lensing map from temperature only, simulation index ???? 0000 to 0099

sim_p_p_????_lmax3000.fits : lensing map from polarization only

sim_p_????_lmax3000.fits : lensing map from temperature and polarization (MV)

sim_xtt_????_lmax3000.fits : lensing curl map from temperature, useful for null tests

sim_x_p_????_lmax3000.fits : lensing curl map from polarization

sim_x_????_lmax3000.fits : lensing curl from temperature and polarization (MV)

The maps were built using the quadratic estimator implementation described in the 2018 CMB lensing paper, with the exception of the filtering, which is isotropic after application of a slightly apodized mask. The filtering uses

For illustration, the temperature (TT), polarization (PP) and Minimum Variance (MV) Wiener-filtered displacement reconstructions, together with the input, for realization 99:

Recmaps cmbs4 apo.png

Reconstruction parameters

Fidelity to the input

The cross-correlation correlation to the input maps, as calculated across the entire patch is roughly like this:



The mean-field (here, contribution from the mask and noise anisotropies) has not been subtracted out from the maps on disk. The mean-field spectra look like this:

MF cmbs4.png

The mean-field subtraction can be performed subtracting the lensing reconstructed maps averaged over a subset of the simulations.