Most cosmological parameter estimations are based on the same set of observations and are therefore not independent. Here, we test the consistency of parameter estimations using a combination of large-scale structure and supernovae data, without cosmic microwave background (CMB) data. We combine observations from the IRAS 1.2 Jy and Las Campanas redshift surveys, galaxy peculiar velocities and measurements of type la supernovae to obtain h = 0.57(-0.14)(+0.15), Omega(m) = 0.28 +/- 0.05 and sigma(8) = 0.87(-0.05)(+0.04) in agreement with the constraints from observations of the CMB anisotropies by the WMAP satellite. We also compare results from different subsets of data in order to investigate the effect of priors and residual errors in the data. We find that some parameters are consistently well constrained whereas others are consistently ill-determined, or even yield poorly consistent results, thereby illustrating the importance of priors and data contributions.

Cosmological parameter estimation with large scale structure and supernovae data / Carolina J., Odman; Mike, Hobson; Anthony, Lasenby; Melchiorri, Alessandro. - In: INTERNATIONAL JOURNAL OF MODERN PHYSICS D. - ISSN 0218-2718. - 13:8(2004), pp. 1661-1668. [10.1142/s0218271804005092]

Cosmological parameter estimation with large scale structure and supernovae data

MELCHIORRI, Alessandro
2004

Abstract

Most cosmological parameter estimations are based on the same set of observations and are therefore not independent. Here, we test the consistency of parameter estimations using a combination of large-scale structure and supernovae data, without cosmic microwave background (CMB) data. We combine observations from the IRAS 1.2 Jy and Las Campanas redshift surveys, galaxy peculiar velocities and measurements of type la supernovae to obtain h = 0.57(-0.14)(+0.15), Omega(m) = 0.28 +/- 0.05 and sigma(8) = 0.87(-0.05)(+0.04) in agreement with the constraints from observations of the CMB anisotropies by the WMAP satellite. We also compare results from different subsets of data in order to investigate the effect of priors and residual errors in the data. We find that some parameters are consistently well constrained whereas others are consistently ill-determined, or even yield poorly consistent results, thereby illustrating the importance of priors and data contributions.
2004
cosmological parameters; statistical methods
01 Pubblicazione su rivista::01a Articolo in rivista
Cosmological parameter estimation with large scale structure and supernovae data / Carolina J., Odman; Mike, Hobson; Anthony, Lasenby; Melchiorri, Alessandro. - In: INTERNATIONAL JOURNAL OF MODERN PHYSICS D. - ISSN 0218-2718. - 13:8(2004), pp. 1661-1668. [10.1142/s0218271804005092]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/129669
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