Reconstruction of the primordial power spectrum of curvature perturbations using multiple data sets
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Dokumenter
- JCAP01(2014)025
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Detailed knowledge of the primordial power spectrum of curvature perturbations is essential both in order to elucidate the physical mechanism (`inflation') which generated it, and for estimating the cosmological parameters from observations of the cosmic microwave background and large-scale structure. Hence it ought to be extracted from such data in a model-independent manner, however this is difficult because relevant cosmological observables are given by a convolution of the primordial perturbations with some smoothing kernel which depends on both the assumed world model and the matter content of the universe. Moreover the deconvolution problem is ill-conditioned so a regularisation scheme must be employed to control error propagation. We demonstrate that `Tikhonov regularisation' can robustly reconstruct the primordial spectrum from multiple cosmological data sets, a significant advantage being that both its uncertainty and resolution are then quantified. Using Monte Carlo simulations we investigate several regularisation parameter selection methods and find that generalised cross-validation and Mallow's Cp method give optimal results. We apply our inversion procedure to data from the Wilkinson Microwave Anisotropy Probe, other ground-based small angular scale CMB experiments, and the Sloan Digital Sky Survey. The reconstructed spectrum (assuming the standard ΛCDM cosmology) is not scale-free but has an infrared cutoff at k \lesssim 5 × 10−4 Mpc^−1 (due to the anomalously low CMB quadrupole) and several features with ~ 2σ significance at k/Mpc^−1 ~ 0.0013–0.0025, 0.0362–0.0402 and 0.051–0.056, reflecting the `WMAP glitches'. To test whether these are indeed real will require more accurate data, such as from the Planck satellite and new ground-based experiments.
Originalsprog | Engelsk |
---|---|
Artikelnummer | 025 |
Tidsskrift | Journal of Cosmology and Astroparticle Physics |
Vol/bind | 2014 |
Udgave nummer | 01 |
Antal sider | 69 |
ISSN | 1475-7516 |
DOI | |
Status | Udgivet - 15 jan. 2014 |
- Det Natur- og Biovidenskabelige Fakultet
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