We compute the Bayesian evidences for one- and two-parameter models of evolving dark energy, and compare them to the evidence for a cosmological constant, using current data from Type Ia supernova, baryon acoustic oscillations, and the cosmic microwave background. We use only distance information, ignoring dark energy perturbations. We find that, under various priors on the dark energy parameters, ΛCDM is currently favored as compared to the dark energy models. We consider the parameter constraints that arise under Bayesian model averaging, and discuss the implication of our results for future dark energy projects seeking to detect dark energy evolution. The model selection approach complements and extends the figure-of-merit approach of th...
Given a class of dark energy models, constraints from one set of cosmic acceleration observables mak...
We compare current and forecasted constraints on dynamical dark energy models from Type Ia supernova...
We place, by the maximum likelihood method, constraints on a variable dark energy model with the equ...
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...
I review the observational prospects to constrain the equation of state parameter of dark energy and...
I review the observational prospects to constrain the equation of state parameter of dark energy and...
A key science goal of upcoming dark energy surveys is to seek time-evolution of the dark energy. Thi...
Using various latest cosmological datasets including Type-Ia supernovae, cosmic microwave background...
A key science goal of upcoming dark energy surveys is to seek time evolution of the dark energy. Thi...
A key science goal of upcoming dark energy surveys is to seek time evolution of the dark energy. Thi...
This thesis presents work around 3 themes: dark energy, gravitational waves and Bayesian inference. ...
AbstractWe use lookback time versus redshift data from galaxy clusters (Capozziello et al., 2004 [9]...
Master of ScienceDepartment of PhysicsBharat RatraRecent observations in cosmology suggest that the ...
© 2014. The American Astronomical Society. All rights reserved.. Baryon acoustic oscillations (BAOs)...
Given a class of dark energy models, constraints from one set of cosmic acceleration observables mak...
We compare current and forecasted constraints on dynamical dark energy models from Type Ia supernova...
We place, by the maximum likelihood method, constraints on a variable dark energy model with the equ...
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...
I review the observational prospects to constrain the equation of state parameter of dark energy and...
I review the observational prospects to constrain the equation of state parameter of dark energy and...
A key science goal of upcoming dark energy surveys is to seek time-evolution of the dark energy. Thi...
Using various latest cosmological datasets including Type-Ia supernovae, cosmic microwave background...
A key science goal of upcoming dark energy surveys is to seek time evolution of the dark energy. Thi...
A key science goal of upcoming dark energy surveys is to seek time evolution of the dark energy. Thi...
This thesis presents work around 3 themes: dark energy, gravitational waves and Bayesian inference. ...
AbstractWe use lookback time versus redshift data from galaxy clusters (Capozziello et al., 2004 [9]...
Master of ScienceDepartment of PhysicsBharat RatraRecent observations in cosmology suggest that the ...
© 2014. The American Astronomical Society. All rights reserved.. Baryon acoustic oscillations (BAOs)...
Given a class of dark energy models, constraints from one set of cosmic acceleration observables mak...
We compare current and forecasted constraints on dynamical dark energy models from Type Ia supernova...
We place, by the maximum likelihood method, constraints on a variable dark energy model with the equ...