Published December 1, 2015 | Version v1
Journal article

Search for features in the spectrum of primordial perturbations using Planck and other datasets

  • 1. Theoretical Physics, Ludwig Maxmillians University, Theresienstrasse 37, 80333 Munich (Germany)
  • 2. Rudolf Peierls Centre for Theoretical Physics, University of Oxford, 1 Keble Road, Oxford OX1 3NP (United Kingdom)

Description

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 ΛCDM cosmology) is not scale-free but has an infrared cutoff at k ≲ 5 × 10-4 Mpc-1 and several (2−3)σ features, of which two at wavenumber k/Mpc-1 0.0018 and 0.057 had been seen already in WMAP data. A higher significance feature at k ∼ 0.12 Mpc-1 is indicated by Planck data, but may be sensitive to the systematic uncertainty around multipole ℓ ∼ 1800 in the 217×217 GHz cross-spectrum. In any case accounting for the 'look elsewhere' effect decreases its global significance to ∼2σ

Availability note (English)

Available from http://dx.doi.org/10.1088/1475-7516/2015/12/052

Additional details

Publishing Information

Journal Title
Journal of Cosmology and Astroparticle Physics
Journal Volume
2015
Journal Issue
12
Journal Page Range
p. 052
ISSN
1475-7516

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47096034
Subject category
S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
Descriptors DEI
COSMOLOGICAL MODELS; COSMOLOGY; DISTURBANCES; ENERGY SPECTRA; GALAXIES; GHZ RANGE; NONLUMINOUS MATTER; RED SHIFT; SATELLITES; SCALARS
Descriptors DEC
FREQUENCY RANGE; MATHEMATICAL MODELS; MATTER; SPECTRA