I review the observational prospects to constrain the equation of state parameter of dark energy and I discuss the potential of future imaging and redshift surveys. Bayesian model selection is used to address the question of the level of accuracy on the equation of state parameter that is required before explanations alternative to a cosmological constant become very implausible. I discuss results in the prediction space of dark energy models. If no significant departure from w=-1 is detected, a precision on w of order 1% will translate into strong evidence against fluid-like dark energy, while decisive evidence will require a precision of order 10^-3
We present parameter estimation forecasts for present and future 3D cosmic shear surveys. We demonst...
Dark energy is one of the greatest scientific challenges of the 21st century. One of the key questio...
We use Monte Carlo techniques to simulate the ability of future large high-redshift galaxy surveys t...
I review the observational prospects to constrain the equation of state parameter of dark energy and...
We examine the prospects for the next generation of surveys aimed at elucidating the nature of dark ...
We compute the Bayesian evidences for one- and two-parameter models of evolving dark energy, and com...
We compute the Bayesian evidences for one- and two-parameter models of evolving dark energy, and com...
We compute the Bayesian evidences for one- and two-parameter models of evolving dark energy, and com...
We review the ability of redshift surveys to provide constraints on the Dark Energy content of the U...
Our understanding of cosmology, supported by different forms of observation have led to a standard...
The true nature of dark energy remains unclear: It is either a strange fluid in the Universe, with a...
We use N-body simulations of the hierarchical clustering of dark matter and semi-analytical modellin...
The coming decade will be an exciting period for dark energy research, during which astronomers will...
The dark energy that appears to produce the accelerating expansion of the universe can be characteri...
We study future constraints on dark energy parameters determined from several combinations of CMB ex...
We present parameter estimation forecasts for present and future 3D cosmic shear surveys. We demonst...
Dark energy is one of the greatest scientific challenges of the 21st century. One of the key questio...
We use Monte Carlo techniques to simulate the ability of future large high-redshift galaxy surveys t...
I review the observational prospects to constrain the equation of state parameter of dark energy and...
We examine the prospects for the next generation of surveys aimed at elucidating the nature of dark ...
We compute the Bayesian evidences for one- and two-parameter models of evolving dark energy, and com...
We compute the Bayesian evidences for one- and two-parameter models of evolving dark energy, and com...
We compute the Bayesian evidences for one- and two-parameter models of evolving dark energy, and com...
We review the ability of redshift surveys to provide constraints on the Dark Energy content of the U...
Our understanding of cosmology, supported by different forms of observation have led to a standard...
The true nature of dark energy remains unclear: It is either a strange fluid in the Universe, with a...
We use N-body simulations of the hierarchical clustering of dark matter and semi-analytical modellin...
The coming decade will be an exciting period for dark energy research, during which astronomers will...
The dark energy that appears to produce the accelerating expansion of the universe can be characteri...
We study future constraints on dark energy parameters determined from several combinations of CMB ex...
We present parameter estimation forecasts for present and future 3D cosmic shear surveys. We demonst...
Dark energy is one of the greatest scientific challenges of the 21st century. One of the key questio...
We use Monte Carlo techniques to simulate the ability of future large high-redshift galaxy surveys t...