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Table 1:

Variation in the typical orders of magnitude of error norms with the convolution length K for an unlensed CMB map simulated using NFFT.
Oversampling Convolution nside $l_{\max}$ Maximum rms
factor length     error error
$\left(\sigma\right)$ $\left(K\right)$     $\left(E_{\infty}\right)$ $\left(E_{2}\right)$
2 4 1024 2048 ${\sim} 10^{-8}$ ${\sim} 10^{-8}$
2 6 1024 2048 ${\sim} 10^{-11}$ ${\sim} 10^{-12}$
2 8 1024 2048 ${\sim} 10^{-11}$ ${\sim} 10^{-13}$

E2 and $E_{\infty}$ are the quadratic norm and maximum(relative) norm, respectively.


Source LaTeX | All tables | In the text

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