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2007

Computing High Accuracy Power Spectra with Pico

Fendt, William A., Wandelt, Benjamin D.

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This paper presents the second release of Pico (Parameters for the Impatient COsmologist).

Pico is a general purpose machine learning code which we have applied to computing the CMB power spectra and the WMAP likelihood.
For this release, we have made improvements to the algorithm as well as the data sets used to train Pico, leading to a significant improvement in accuracy.
For the 9 parameter nonflat case presented here Pico can on average compute the TT, TE and EE spectra to better than 1% of cosmic standard deviation for nearly all $\ell$ values over a large region of parameter space.

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