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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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The impact of intrinsic alignment on current and future cosmic shear surveys

TL;DR: In this article, the authors present the first forecasts of the impact of IA on cosmic shear measurements for current and future surveys (DES, Euclid, LSST, WFIRST) using simulated likelihood analyses and realistic covariances that include higher-order moments of the density field in the computation.
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Weak lensing shear calibration with simulations of the HSC survey

TL;DR: In this article, a set of simulations designed to constrain the weak lensing shear calibration for the Hyper Suprime-Cam (HSC) survey is presented, where the authors find that the inclusion of nearby galaxies in the images is critical to reproducing the observed distributions of galaxy sizes and magnitudes, due to the non-negligible fraction of unrecognized blends in ground-based data.
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Cool and luminous transients from mass-losing binary stars

TL;DR: In this article, the authors present the first smoothed-particle radiation-hydrodynamics calculations of the mass loss from the outer Lagrange point with realistic equation of state and opacities.
Posted Content

Dark Sky Simulations: Early Data Release

TL;DR: This work presents a novel method to distribute and access very large datasets, based on an abstraction of the World Wide Web as a file system, remote memory-mapped file access semantics, and a space-filling curve index, and provides a means to not only query stored results such as halo catalogs, but also to design and deploy new analysis techniques on large distributed datasets.
Dissertation

Spectroscopic diversity of type Ia supernovae

Abstract: Type Ia supernovae (SNe Ia) are excellent tools in cosmology . Their intrinsic luminosities are found to vary systematically with the light-curve w idths, providing an empirical calibration. This property, called the width-luminosity r elation (WLR), is the basis of modern SN Ia cosmology and led to the unexpected discovery of the current accelerated rate of cosmic expansion. By examining the spectroscopic diversi ty of SNe Ia, this thesis aims to improve both the use of SNe Ia in cosmology and the physical understanding of the observed properties. Spectra of SNe Ia contain a wealth of in f rmation, but are di fficult to organize. In this thesis, new methods are developed to con siste tly quantify and analyze the spectral features of supernovae. The e fficacy of the methods is tested on a large library of observed spectra encompassing a wide range of pro perties. The spectroscopic diversity of SNe Ia enters cosmology through K-correction calculations. Before this work, K-correction was a major contributor of the systematic error s in cosmology. It is shown here that the systematic errors can be largely diminished by carefully quantifying the mean spectroscopic properties of SNe Ia. The remaining statisti cal errors are also quantified and shown to be redshift dependent. With the aid of principal component analysis (PCA), the multidimensional spectral information is reduced to a f ew components describing the largest variations in the spectral library. Using this tool , it is shown here that SN Ia intrinsic luminosity is the main driver of the spectroscopic diver sity at maximum light, forevery
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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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