Dark energy model selection with current and future data
نویسندگان
چکیده
منابع مشابه
Inference from the small scales of cosmic shear with current and future Dark Energy Survey data
Cosmic shear is sensitive to fluctuations in the cosmological matter density field, including on small physical scales, where matter clustering is affected by baryonic physics in galaxies and galaxy clusters, such as star formation, supernovae feedback, and active galactic nuclei feedback. While muddying any cosmological information that is contained in small-scale cosmic shear measurements, th...
متن کاملTestable dark energy predictions from current data
Michael J. Mortonson,1, 2, 3 Wayne Hu,3, 4 and Dragan Huterer5 Center for Cosmology and AstroParticle Physics, The Ohio State University, Columbus, OH 43210 Department of Physics, University of Chicago, Chicago, IL 60637 Kavli Institute for Cosmological Physics and Enrico Fermi Institute, University of Chicago, Chicago, IL 60637 Department of Astronomy & Astrophysics, University of Chicago, Chi...
متن کاملDark Energy Present and Future
By studying the present cosmological data, particularly on CMB, SNeIA and LSS, we find that the future fate of the universe, for simple linear models of the dark energy equation-ofstate, can vary between the extremes of (I) a divergence of the scale factor in as little as 7 Gyr; (II) an infinite lifetime of the universe with dark energy dominant for all future time; (III) a disappearing dark en...
متن کاملProbing dark energy with future surveys
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 resu...
متن کاملOn model selection forecasting, Dark Energy and modified gravity
Since Fisher’s work in the 1930s, there has been a method to calculate in advance how well a given experiment will be able to estimate model parameters. This ‘Fisher matrix’ approach has been invaluable in experimental design. In the same spirit, we present here a method to predict how well a given experiment can distinguish between different models, regardless of their parameters. From a Bayes...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Monthly Notices of the Royal Astronomical Society
سال: 2014
ISSN: 1365-2966,0035-8711
DOI: 10.1093/mnras/stu980