Stochastic optimization methods for extracting cosmological parameters from CMBR power spectra

Details Stochastic optimization methods for extracting cosmological parameters from CMBR power spectra Stochastic optimization methods for extracting cosmological parameters from CMBR power spectra

1999-11-17

arxiv.org/abs/astro-ph/9911330v1

Phys.Rev.D61:023002,2000

Astronomy and Astrophysics

Astrophysics

7 pages revtex, 3 figures, to appear in PRD

Scientific paper

10.1103/PhysRevD.61.023002

The reconstruction of the CMBR power spectrum from a map represents a major computational challenge to which much effort has been applied. However, once the power spectrum has been recovered there still remains the problem of extracting cosmological parameters from it. Doing this involves optimizing a complicated function in a many dimensional parameter space. Therefore efficient algorithms are necessary in order to make this feasible. We have tested several different types of algorithms and found that the technique known as simulated annealing is very effective for this purpose. It is shown that simulated annealing is able to extract the correct cosmological parameters from a set of simulated power spectra, but even with such fast optimization algorithms, a substantial computational effort is needed.

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