Estimation of primordial spectrum with post-WMAP 3-year data
Abstract
In this paper we implement an improved (error-sensitive) Richardson-Lucy deconvolution algorithm on the measured angular power spectrum from the Wilkinson Microwave Anisotropy Probe (WMAP) 3 year data to determine the primordial power spectrum assuming different points in the cosmological parameter space for a flat {lambda}CDM cosmological model. We also present the preliminary results of the cosmological parameter estimation by assuming a free form of the primordial spectrum, for a reasonably large volume of the parameter space. The recovered spectrum for a considerably large number of the points in the cosmological parameter space has a likelihood far better than a 'best fit' power law spectrum up to {delta}{chi}{sub eff}{sup 2}{approx_equal}-30. We use discrete wavelet transform (DWT) for smoothing the raw recovered spectrum from the binned data. The results obtained here reconfirm and sharpen the conclusion drawn from our previous analysis of the WMAP 1st year data. A sharp cut off around the horizon scale and a bump after the horizon scale seem to be a common feature for all of these reconstructed primordial spectra. We have shown that although the WMAP 3 year data prefers a lower value of matter density for a power law form of the primordial spectrum, formore »
- Authors:
-
- Inter-University Centre for Astronomy and Astrophysics (IUCAA), Ganeshkhind, Pune-411007 (India)
- Publication Date:
- OSTI Identifier:
- 21250331
- Resource Type:
- Journal Article
- Journal Name:
- Physical Review. D, Particles Fields
- Additional Journal Information:
- Journal Volume: 78; Journal Issue: 2; Other Information: DOI: 10.1103/PhysRevD.78.023511; (c) 2008 The American Physical Society; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0556-2821
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTROPHYSICS, COSMOLOGY AND ASTRONOMY; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ALGORITHMS; ANISOTROPY; COSMOLOGICAL MODELS; DENSITY; MICROWAVE RADIATION; NONLUMINOUS MATTER; SPACE; SPECTRA
Citation Formats
Shafieloo, Arman, and Souradeep, Tarun. Estimation of primordial spectrum with post-WMAP 3-year data. United States: N. p., 2008.
Web. doi:10.1103/PHYSREVD.78.023511.
Shafieloo, Arman, & Souradeep, Tarun. Estimation of primordial spectrum with post-WMAP 3-year data. United States. https://doi.org/10.1103/PHYSREVD.78.023511
Shafieloo, Arman, and Souradeep, Tarun. 2008.
"Estimation of primordial spectrum with post-WMAP 3-year data". United States. https://doi.org/10.1103/PHYSREVD.78.023511.
@article{osti_21250331,
title = {Estimation of primordial spectrum with post-WMAP 3-year data},
author = {Shafieloo, Arman and Souradeep, Tarun},
abstractNote = {In this paper we implement an improved (error-sensitive) Richardson-Lucy deconvolution algorithm on the measured angular power spectrum from the Wilkinson Microwave Anisotropy Probe (WMAP) 3 year data to determine the primordial power spectrum assuming different points in the cosmological parameter space for a flat {lambda}CDM cosmological model. We also present the preliminary results of the cosmological parameter estimation by assuming a free form of the primordial spectrum, for a reasonably large volume of the parameter space. The recovered spectrum for a considerably large number of the points in the cosmological parameter space has a likelihood far better than a 'best fit' power law spectrum up to {delta}{chi}{sub eff}{sup 2}{approx_equal}-30. We use discrete wavelet transform (DWT) for smoothing the raw recovered spectrum from the binned data. The results obtained here reconfirm and sharpen the conclusion drawn from our previous analysis of the WMAP 1st year data. A sharp cut off around the horizon scale and a bump after the horizon scale seem to be a common feature for all of these reconstructed primordial spectra. We have shown that although the WMAP 3 year data prefers a lower value of matter density for a power law form of the primordial spectrum, for a free form of the spectrum, we can get a very good likelihood to the data for higher values of matter density. We have also shown that even a flat cold dark matter model, allowing a free form of the primordial spectrum, can give a very high likelihood fit to the data. Theoretical interpretation of the results is open to the cosmology community. However, this work provides strong evidence that the data retains discriminatory power in the cosmological parameter space even when there is full freedom in choosing the primordial spectrum.},
doi = {10.1103/PHYSREVD.78.023511},
url = {https://www.osti.gov/biblio/21250331},
journal = {Physical Review. D, Particles Fields},
issn = {0556-2821},
number = 2,
volume = 78,
place = {United States},
year = {Tue Jul 15 00:00:00 EDT 2008},
month = {Tue Jul 15 00:00:00 EDT 2008}
}