This function provides an angular power spectra estimate using the values of the sample correlations. The approach is based on Lawson-Hanson algorithm for non-negative least squares.
An object of the class CMBCorrelation.
A number of angular power spectra components to estimate
A data frame which first column is 1-d grid of l values
from 0 to
lmax. The second column is
estimated angular power spectra components on this grid.
Formula (2.1) in Baran A., Terdik G. Power spectrum estimation of spherical random fields based on covariances. Annales Mathematicae et Informaticae 44 (2015) pp. 15–22.
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## Download the map first # downloadCMBMap(foreground = "smica", nside = 1024) # df <- CMBDataFrame("CMB_map_smica1024.fits") # Corrf <- corrCMB(df, max.dist = 0.1, num.bins = 30, # sample.size=10000) # pw <- pwSpCorr(Corrf)
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