2000
DOI: 10.1016/s1384-1076(00)00007-5
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Morphing the CMB: a technique for interpolating power spectra

Abstract: The confrontation of the Cosmic Microwave Background (CMB) theoretical angular power spectrum with available data often requires the calculation of large numbers of power spectra. The standard practice is to use a fast code to compute the CMB power spectra over some large parameter space, in order to estimate likelihoods and constrain these parameters. But as the dimensionality of the space under study increases, then even with relatively fast anisotropy codes, the computation can become prohibitive. This pape… Show more

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Cited by 5 publications
(4 citation statements)
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“…However, we now speculate on a potential application. With further development, perhaps our analytic understanding of the shifts in the peak locations could be combined with the morphing procedure of Sigurdson (2000), to achieve a highly accurate, very fast, Boltzmann code emulator, improving upon interpolative schemes such as PICO (Fendt & Wandelt 2007).…”
Section: Discussionmentioning
confidence: 99%
“…However, we now speculate on a potential application. With further development, perhaps our analytic understanding of the shifts in the peak locations could be combined with the morphing procedure of Sigurdson (2000), to achieve a highly accurate, very fast, Boltzmann code emulator, improving upon interpolative schemes such as PICO (Fendt & Wandelt 2007).…”
Section: Discussionmentioning
confidence: 99%
“…• The accuracy in Step 2 can probably be further improved by using some form of morphing technique as suggested by Sigurdson & Scott (2000). The basic idea is to interpolate not the power spectrum itself but some cleverly chosen parametrization thereof.…”
Section: Discussionmentioning
confidence: 99%
“…It has been proposed that "morphing" techniques borrowed from computer graphics could be used for efficient calculations of CMB spectra [47]. This morphing approach defines certain control points based on special fea- tures of the spectra (such as acoustic peaks and troughs), interpolates between pre-calculated curves to determine where these points would be for a different set of input (e.g.…”
Section: A Strategymentioning
confidence: 99%