scholarly journals Comparative study of dark energy constraints from current observational data

2012 ◽  
Vol 85 (2) ◽  
Author(s):  
Yun Wang ◽  
Chia-Hsun Chuang ◽  
Pia Mukherjee
Keyword(s):  
Dark Energy ◽  
Comparative Study ◽  
Observational Data ◽  
Energy Constraints

scholarly journals Holographic dark energy: constraints on the interaction from diverse observational data sets

2019 ◽  
Vol 134 (4) ◽  
Author(s):  
Purba Mukherjee ◽  
Ankan Mukherjee ◽  
H. K. Jassal ◽  
Ananda Dasgupta ◽  
Narayan Banerjee
Keyword(s):  
Dark Energy ◽  
Observational Data ◽  
Holographic Dark Energy ◽  
Data Sets ◽  
Energy Constraints

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.

scholarly journals Comparing dark energy models with current observational data

2018 ◽  
Vol 2018 (07) ◽  
pp. 011-011 ◽  
Author(s):  
Sixiang Wen ◽  
Shuang Wang ◽  
Xiaolin Luo
Keyword(s):  
Dark Energy ◽  
Observational Data ◽  
Energy Models

scholarly journals FORECASTS OF DARK ENERGY CONSTRAINTS FROM BARYON ACOUSTIC OSCILLATIONS

2010 ◽  
Vol 25 (37) ◽  
pp. 3093-3113 ◽  
Author(s):  
YUN WANG
Keyword(s):  
Dark Energy ◽  
Figure Of Merit ◽  
Real Space ◽  
Number Density ◽  
Acoustic Oscillations ◽  
Energy Constraints ◽  
Redshift Survey ◽  
Galaxy Redshift ◽  
Baryon Acoustic Oscillations ◽  
Systematic Noise

The measurement of baryon acoustic oscillations (BAO) from a galaxy redshift survey provides one of the most promising methods for probing dark energy. In this paper, we clarify the assumptions that go into the forecasts of dark energy constraints from BAO. We show that assuming a constant nP0.2/G2(z) (where P0.2 is the real space galaxy power spectrum at k = 0.2 h/ Mpc and redshift z) gives a good approximation of the observed galaxy number density expected from a realistic flux-limited galaxy redshift survey. We find that assuming nP0.2/G2(z) = 10 gives very similar dark energy constraints to assuming nP0.2 = 3, but the latter corresponds to a galaxy number density larger than ~70% at z = 2. We show how the Figure-of-Merit (FoM) for constraining dark energy depends on the assumed galaxy number density, redshift accuracy, redshift range, survey area, and the systematic errors due to calibration and uncertainties in the theory of nonlinear evolution and galaxy biasing. We find that an additive systematic noise of up to 0.4–0.5% per Δz = 0.1 redshift slice does not lead to significant decrease in the BAO FoM.

scholarly journals A comparative study of rigid Earth, non-rigid Earth nutation theories, and observational data

2007 ◽  
Vol 472 (2) ◽  
pp. 681-689 ◽  
Author(s):  
J. Souchay ◽  
S. B. Lambert ◽  
C. Le Poncin-Lafitte
Keyword(s):  
Comparative Study ◽  
Observational Data ◽  
Rigid Earth

scholarly journals The effect of inhomogeneities on dark energy constraints

2018 ◽  
Vol 2018 (07) ◽  
pp. 024-024 ◽  
Author(s):  
Suhail Dhawan ◽  
Ariel Goobar ◽  
Edvard Mörtsell
Keyword(s):  
Dark Energy ◽  
Energy Constraints
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