2015
DOI: 10.1088/1475-7516/2015/12/052
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Search for features in the spectrum of primordial perturbations using Planck and other datasets

Abstract: We reconstruct the power spectrum of primordial curvature perturbations by applying a well-validated non-parametric technique employing Tikhonov regularisation to the first data release from the Planck satellite. To improve the reconstruction on small spatial scales we include data from the ground-based ACT and SPT experiments, the WiggleZ galaxy redshift survey, the CFHTLenS tomographic weak lensing survey, and spectral analysis of the Lyman-α forest. The reconstructed scalar spectrum (assuming the standard Λ… Show more

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Cited by 42 publications
(33 citation statements)
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“…As is well-known, the recent data from Planck and WMAP reveal that there is suppression of power in the temperature anisotropy spectrum C TT at angular scales 30, with statistical significance of approximately 2-3σ [35,[61][62][63]. The key question then is whether the theoretical power spectra of Fig.…”
Section: Remarksmentioning
confidence: 99%
“…As is well-known, the recent data from Planck and WMAP reveal that there is suppression of power in the temperature anisotropy spectrum C TT at angular scales 30, with statistical significance of approximately 2-3σ [35,[61][62][63]. The key question then is whether the theoretical power spectra of Fig.…”
Section: Remarksmentioning
confidence: 99%
“…The latest Planck results marginally support the existence of deviations from scale-invariance localised at different multipoles in the angular power spectrum [59][60][61], that could be due to features in the primordial power spectrum. Features in the primordial spectra are excesses over the ΛCDM line, very much like the bumps over the standard model background seen in the LHC data.…”
Section: Introductionmentioning
confidence: 96%
“…The starting point of our work is a previously estimated PPS. It was recovered from the Planck Public Release 2 temperature and polarisation data using Tikhonov regularisation penalising first-order derivatives 9 of the PPS, as explained in detail in [31]. The Planck T T , T E and EE likelihood function consists of a pixel-based component for multpoles ≤ 29 and a Gaussian pseudo-C component for 30 ≤ ≤ 2508.…”
Section: Reconstructing the Eft Parametersmentioning
confidence: 99%