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Dark Matter-dark Energy Coupling Biasing Parameter Estimates From Cosmic Microwave Background Data by Giuseppe La Vacca; Loris P. L. Colombo; Luca Vergani; Silvio A. Bonometto is a Physics and Astronomy article available to read on EtoBox.

What is Dark Matter-dark Energy Coupling Biasing Parameter Estimates From Cosmic Microwave Background Data about?

When cosmic microwave background data are used to derive cosmological parameters, their very choice does matter: some parameter values can be biased if the parameter space does not cover the "true" model. This is a problem because of the difficulty in parameterizing dark energy (DE) physics. We test this risk through numerical experiments. We create artificial data for dynamical or coupled DE models and then use Monte Carlo Markov Chain techniques to recover model parameters by assuming a constant DE state parameter w and no DM-DE coupling. For the DE potential considered, no serious bias arises when coupling is absent. In contrast, ω o,c and thence H o and Ω o,m suffer a serious bias when the "true" cosmology includes even just a mild DM-DE coupling. Until the nature of the dark components remains unknown, it can be important to allow for a degree of freedom accounting for DM-DE coupling, even more than increasing the number of parameters accounting for the w(a) behavior.

Who reads Dark Matter-dark Energy Coupling Biasing Parameter Estimates From Cosmic Microwave Background Data?

Author

Giuseppe La Vacca; Loris P. L. Colombo; Luca Vergani; Silvio A. Bonometto

Publisher

University of Chicago Press; American Astronomical Society; Institute of Physics Publishing; IOP Publishing; Oxford University Press (OUP) (ISSN 0004-637X)

Published

2009

Language

EN

Field

Physics and Astronomy (Physical Sciences)