scholarly journals Supernova and baryon acoustic oscillation constraints on (new) polynomial dark energy parametrizations: current results and forecasts

2012 ◽  
Vol 422 (1) ◽  
pp. 776-793 ◽  
Author(s):  
Irene Sendra ◽  
Ruth Lazkoz
Keyword(s):  
Dark Energy ◽  
Acoustic Oscillation ◽  
Baryon Acoustic Oscillation

scholarly journals Baryon Acoustic Oscillation Intensity Mapping of Dark Energy

2008 ◽  
Vol 100 (9) ◽  
Author(s):  
Tzu-Ching Chang ◽  
Ue-Li Pen ◽  
Jeffrey B. Peterson ◽  
Patrick McDonald
Keyword(s):  
Dark Energy ◽  
Acoustic Oscillation ◽  
Baryon Acoustic Oscillation ◽  
Intensity Mapping ◽  
Oscillation Intensity

scholarly journals Cosmological Constraints on the Coupling Model from Observational Hubble Parameter and Baryon Acoustic Oscillation Measurements

Universe ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. 57
Author(s):  
Shulei Cao ◽  
Tong-Jie Zhang ◽  
Xinya Wang ◽  
Tingting Zhang
Keyword(s):  
Dark Matter ◽  
Dark Energy ◽  
Hubble Parameter ◽  
Cold Dark Matter ◽  
High Redshift ◽  
Coupling Model ◽  
Acoustic Oscillation ◽  
Baryon Acoustic Oscillation ◽  
Best Fitting ◽  
Age Of The Universe

In the paper, we consider two models in which dark energy is coupled with either dust matter or dark matter, and discuss the conditions that allow more time for structure formation to take place at high redshifts. These models are expected to have a larger age of the universe than that of ΛCDM [universe consists of cold dark matter (CDM) and dark energy (a cosmological constant, Λ)], so it can explain the formation of high redshift gravitationally bound systems which the ΛCDM model cannot interpret. We use the observational Hubble parameter data (OHD) and Hubble parameter obtained from cosmic chronometers method (H(z)) in combination with baryon acoustic oscillation (BAO) data to constrain these models. With the best-fitting parameters, we discuss how the age, the deceleration parameter, and the energy density parameters evolve in the new universes, and compare them with that of ΛCDM.

scholarly journals Prospects for studying the dark energy at z > 2 with galaxy surveys

2016 ◽  
Vol 25 (14) ◽  
pp. 1650109
Author(s):  
Natalia A. Arkhipova ◽  
Sergey V. Pilipenko
Keyword(s):  
Dark Energy ◽  
High Redshift ◽  
Acoustic Oscillation ◽  
Maximum Deviation ◽  
Baryon Acoustic Oscillation ◽  
Number Density ◽  
Galaxy Surveys ◽  
Redshift Surveys ◽  
Near Future

Now creation of big catalogs of galaxies for measurement of baryon acoustic oscillation (BAO) is actively conducted. Existing and planned in the near future surveys are directed on the range of red-shifts of [Formula: see text]. However, some popular models of dark energy (DE) give the maximum deviation from [Formula: see text]CDM at [Formula: see text] therefore we investigated sensitivity of hypothetical high redshift surveys to the model of DE. We have found that with the increase of the number density of detected galaxies at [Formula: see text] high redshift observations may give better constraints of DE parameters.

scholarly journals Baryon acoustic oscillation, Hubble parameter, and angular size measurement constraints on the Hubble constant, dark energy dynamics, and spatial curvature

2019 ◽  
Vol 488 (3) ◽  
pp. 3844-3856 ◽  
Author(s):  
Joseph Ryan ◽  
Yun Chen ◽  
Bharat Ratra
Keyword(s):  
Dark Energy ◽  
Hubble Parameter ◽  
Angular Size ◽  
Hubble Constant ◽  
Acoustic Oscillation ◽  
Baryon Acoustic Oscillation ◽  
Size Measurement ◽  
Data Combination ◽  
Energy Dynamics ◽  
Constant Dark

ABSTRACT In this paper, we use all available baryon acoustic oscillation, Hubble parameter, and quasar angular size data to constrain six dark energy cosmological models, both spatially flat and non-flat. Depending on the model and data combination considered, these data mildly favour closed spatial hypersurfaces (by as much as 1.7σ) and dark energy dynamics (up to a little over 2σ) over a cosmological constant Λ. The data also favour, at 1.8σ to 3.4σ, depending on the model and data combination, a lower Hubble constant than what is measured from the local expansion rate.

scholarly journals Consistency of nonlinear interacting ghost dark energy with recent observations

2017 ◽  
Vol 26 (11) ◽  
pp. 1750124 ◽  
Author(s):  
E. Ebrahimi ◽  
H. Golchin ◽  
A. Mehrabi ◽  
S. M. S. Movahed
Keyword(s):  
Dark Energy ◽  
Observational Data ◽  
Nonlinear Interaction ◽  
Acoustic Oscillation ◽  
Joint Analysis ◽  
Data Sets ◽  
Dark Energy Density ◽  
Ghost Dark Energy ◽  
Interaction Terms ◽  
Best Fit

In this paper, we investigate ghost dark energy model in the presence of nonlinear interaction between dark energy and dark matter. We also extend the analysis to the so-called generalized ghost dark energy (GGDE) which [Formula: see text]. The model contains three free parameters as [Formula: see text] and [Formula: see text] (the coupling coefficient of interactions). We propose three kinds of nonlinear interaction terms and discuss the behavior of equation of state, deceleration and dark energy density parameters of the model. We also find the squared sound speed and search for signs of stability of the model. To compare the interacting GGDE model with observational data sets, we use more recent observational outcomes, namely SNIa from JLA catalog, Hubble parameter, baryonic acoustic oscillation and the most relevant CMB parameters including, the position of acoustic peaks, shift parameters and redshift to recombination. For GGDE with the first nonlinear interaction, the joint analysis indicates that [Formula: see text], [Formula: see text] and [Formula: see text] at 1 optimal variance error. For the second interaction, the best fit values at [Formula: see text] confidence are [Formula: see text], [Formula: see text] and [Formula: see text]. According to combination of all observational data sets considered in this paper, the best fit values for third nonlinearly interacting model are [Formula: see text], [Formula: see text] and [Formula: see text] at [Formula: see text] confidence interval. Finally, we found that the presence of interaction is compatible in mentioned models via current observational datasets.

Sign in / Sign up

Export Citation Format

Share Document