Cosmic cartography of the large-scale structure with Sloan Digital Sky Survey data release 6

ABSTRACT In this letter, we present constraints on the scale-dependent ‘local’-type primordial non-Gaussianity, which is described by non-Gaussianity’s spectral index nNG, from the NRAO VLA Sky Survey and the quasar catalogue of the Sloan Digital Sky Survey (SDSS) Data Release 6, together with the SDSS Data Release 12 photo-z sample. Here, we use the autocorrelation analyses of these three probes and their cross-correlation analyses with the cosmic microwave background (CMB) temperature map, and obtain the tight constraint on the spectral index: $n_{\rm NG}=0.2 ^{+0.7}_{-1.0}$ ($1\sigma$ C.L.), which shows the first competitive constraint on the running of non-Gaussianity from current large-scale structure clustering data. Furthermore, we also perform the forecast calculations and improve the limit of nNG using the future Euclid mission, and obtain the standard deviation at a 68 per cent confidence level: ΔnNG = 1.74 when considering the fiducial value fNL = 3, which provides the complementary constraining power to those from the CMB bispectrum information.

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SDSS-III Baryon Oscillation Spectroscopic Survey Data Release 12: galaxy target selection and large-scale structure catalogues

Monthly Notices of the Royal Astronomical Society ◽

10.1093/mnras/stv2382 ◽

2015 ◽

Vol 455 (2) ◽

pp. 1553-1573 ◽

Cited By ~ 186

Author(s):

Beth Reid ◽

Shirley Ho ◽

Nikhil Padmanabhan ◽

Will J. Percival ◽

Jeremy Tinker ◽

...

Keyword(s):

Survey Data ◽

Large Scale ◽

Target Selection ◽

Large Scale Structure ◽

Scale Structure ◽

Data Release

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Large Scale Structure of the Universe

Symposium - International Astronomical Union ◽

10.1017/s0074180900128906 ◽

1998 ◽

Vol 179 ◽

pp. 317-328 ◽

Cited By ~ 2

Author(s):

N.A. Bahcall

Keyword(s):

Large Scale ◽

Initial Conditions ◽

Large Scale Structure ◽

Density Fluctuations ◽

Scale Structure ◽

Sloan Digital Sky Survey ◽

Sky Survey ◽

Initial Spectrum ◽

Formation And Evolution ◽

The Universe

How is the universe organized on large scales? How did this structure evolve from the unknown initial conditions of a rather smooth early universe to the present time? The answers to these questions will shed light on the cosmology we live in, the amount, composition and distribution of matter in the universe, the initial spectrum of density fluctuations that gave rise to this structure, and the formation and evolution of galaxies, lusters of galaxies, and larger scale structures.To address these fundamental questions, large and accurate sky surveys are needed—in various wavelengths and to various depths. In this presentation I review current observational studies of large scale structure, present the constraints these observations place on cosmological models and on the amount of dark matter in the universe, and highlight some of the main unsolved problems in the field of large-scale structure that could be solved over the next decade with the aid of current and future surveys. I briefly discuss some of these surveys, including the Sloan Digital Sky Survey that will provide a complete imaging and spectroscopic survey of the high-latitude northern sky, with redshifts for the brightest ∼ 106 galaxies, 105 quasars, and 103.5 rich clusters of galaxies. The potentialities of the SDSS survey, as well as of cross-wavelength surveys, for resolving some of the unsolved problems in large-scale structure and cosmology are discussed.

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Clustering and Large-Scale Structure with the Sloan Digital Sky Survey

Publications of the Astronomical Society of the Pacific ◽

10.1086/133625 ◽

1995 ◽

Vol 107 ◽

pp. 790 ◽

Cited By ~ 3

Author(s):

Neta A. Bahcall

Keyword(s):

Large Scale ◽

Large Scale Structure ◽

Scale Structure ◽

Sloan Digital Sky Survey ◽

Sky Survey

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The Sloan Digital Sky Survey and large-scale structure

Physics Reports ◽

10.1016/s0370-1573(98)00051-9 ◽

1998 ◽

Vol 307 (1-4) ◽

pp. 61-66

Author(s):

Joshua A. Frieman

Keyword(s):

Large Scale ◽

Large Scale Structure ◽

Scale Structure ◽

Sloan Digital Sky Survey ◽

Sky Survey

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Bayesian large-scale structure inference: initial conditions and the cosmic web

Proceedings of the International Astronomical Union ◽

10.1017/s1743921314011120 ◽

2014 ◽

Vol 10 (S306) ◽

pp. 1-4

Author(s):

Florent Leclercq ◽

Benjamin Wandelt

Keyword(s):

Large Scale ◽

Initial Conditions ◽

Large Scale Structure ◽

Monte Carlo Sampling ◽

Scale Structure ◽

Sloan Digital Sky Survey ◽

Inhomogeneous Universe ◽

Sky Survey ◽

Formation History ◽

The Many

AbstractWe describe an innovative statistical approach for theab initiosimultaneous analysis of the formation history and morphology of the large-scale structure of the inhomogeneous Universe. Our algorithm explores the joint posterior distribution of the many millions of parameters involved via efficient Hamiltonian Markov Chain Monte Carlo sampling. We describe its application to the Sloan Digital Sky Survey data release 7 and an additional non-linear filtering step. We illustrate the use of our findings for cosmic web analysis: identification of structures via tidal shear analysis and inference of dark matter voids.

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Large-scale structure and the intrinsic alignment of galaxies

Proceedings of the International Astronomical Union ◽

10.1017/s1743921316010358 ◽

2014 ◽

Vol 11 (S308) ◽

pp. 452-455 ◽

Cited By ~ 2

Author(s):

Jonathan Blazek ◽

Uroš Seljak ◽

Rachel Mandelbaum

Keyword(s):

Observational Data ◽

Large Scale ◽

Large Scale Structure ◽

Scale Structure ◽

Sloan Digital Sky Survey ◽

Significant Source ◽

Weak Lensing ◽

Sky Survey ◽

Alignment Model

AbstractCoherent alignments of galaxy shapes, often called“intrinsic alignments” (IA), are the most significant source of astrophysical uncertainty in weak lensing measurements. We develop the tidal alignment model of IA and demonstrate its success in describing observational data. We also describe a technique to separate IA from galaxy-galaxy lensing measurements. Applying this technique to luminous red galaxy lenses in the Sloan Digital Sky Survey, we constrain potential IA contamination from associated sources to be below a few percent.

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