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Session 70 - Cosmic Backgrounds and the Distant Universe.
Oral session, Thursday, June 11

[70.05] Fast Algorithm for Likelihood Evaluation of Mega-Pixel Maps

A. Kogut (NASA/GSFC)

Maximum likelihood estimation of cosmological parameters from maps of the cosmic microwave background requires two computationally expensive steps: a \chi^2 evaluation and a matrix determinant. Standard algorithms, applied to maps with N pixels, require O(N^3) operations and are prohibitively expensive in CPU time. I present an approximate method requiring N^2 \log(N) operations and discuss applications for the MAP, Planck, and balloon-borne CMB data sets.

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Program listing for Thursday