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Observational probes of cosmic acceleration

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TLDR
In this article, the authors present extensive forecasts for constraints on the dark energy equation of state and parameterized deviations from General Relativity, achievable with Stage III and Stage IV experimental programs that incorporate supernovae, BAO, weak lensing, and cosmic microwave background data.
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This article is published in Physics Reports.The article was published on 2013-09-10 and is currently open access. It has received 1253 citations till now. The article focuses on the topics: Dark energy & Lambda-CDM model.

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Improving the precision of time-delay cosmography with observations of galaxies along the line of sight

TL;DR: In this paper, the authors proposed a method to constrain the probability distribution function of the effective line-of-sight convergence (kappa) by matching the observed overdensity in the weighted number of galaxies to that found in mock catalogs with {kappa}{sub ext} obtained by ray-tracing through structure formation simulations.

Flux-averaging Analysis of Type Ia Supernova Data

Yun Wang
TL;DR: In this paper, the authors combined the SN Ia data from the High-z SN Search and the Supernova Cosmology Project and binned the combined data by flux-averaging in redshift intervals of Δz = 0.05 and Δz= 0.1.
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Dark energy constraints from the thermal Sunyaev–Zeldovich power spectrum

TL;DR: In this paper, the authors constrain the dark energy equation of state parameter, $${w}$$, using the power spectrum of the thermal Sunyaev-Zeldovich (tSZ) effect, and they find that the amplitude of the tSZ power spectrum at l ≲ 10^3 depends primarily on F ≡ σ_8(Ω_m/B)^0.06 (68 per
References
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The relationship between infrared, optical, and ultraviolet extinction

TL;DR: In this article, the average extinction law over the 3.5 micron to 0.125 wavelength range was derived for both diffuse and dense regions of the interstellar medium. And the validity of the law over a large wavelength interval suggests that the processes which modify the sizes and compositions of grains are stochastic in nature.
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