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

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.

scholarly journals Large Scale Structure of the Universe

1998 ◽  
Vol 179 ◽  
pp. 317-328 ◽  
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.

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

2009 ◽  
Vol 400 (1) ◽  
pp. 183-203 ◽  
Author(s):  
Francisco S. Kitaura ◽  
Jens Jasche ◽  
Cheng Li ◽  
Torsten A. En��lin ◽  
R. Benton Metcalf ◽  
...  
Keyword(s):  
Survey Data ◽  
Large Scale ◽  
Large Scale Structure ◽  
Scale Structure ◽  
Sloan Digital Sky Survey ◽  
Sky Survey ◽  
Data Release

scholarly journals Large-scale structure and the intrinsic alignment of galaxies

2014 ◽  
Vol 11 (S308) ◽  
pp. 452-455 ◽  
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.

scholarly journals Constraints on running of non-Gaussianity from large-scale structure probes

2019 ◽  
Vol 491 (1) ◽  
pp. L61-L65 ◽  
Author(s):  
Ji-Ping Dai ◽  
Jun-Qing Xia
Keyword(s):  
Spectral Index ◽  
Large Scale ◽  
Cross Correlation ◽  
Large Scale Structure ◽  
Scale Structure ◽  
Sloan Digital Sky Survey ◽  
Microwave Background ◽  
Sky Survey ◽  
Data Release ◽  
Clustering Data

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.

scholarly journals Visualization of large scale structure from the Sloan Digital Sky Survey

2008 ◽  
Vol 10 (12) ◽  
pp. 125015 ◽  
Author(s):  
M U SubbaRao ◽  
M A Aragón-Calvo ◽  
H W Chen ◽  
J M Quashnock ◽  
A S Szalay ◽  
...  
Keyword(s):  
Large Scale ◽  
Large Scale Structure ◽  
Scale Structure ◽  
Sloan Digital Sky Survey ◽  
Sky Survey

scholarly journals Measuring the clustering of photometric quasars through blind mitigation of systematics

2014 ◽  
Vol 10 (S306) ◽  
pp. 243-246
Author(s):  
Boris Leistedt ◽  
Hiranya V. Peiris ◽  
Nina Roth
Keyword(s):  
Large Scale ◽  
Power Spectra ◽  
Large Scale Structure ◽  
Scale Structure ◽  
Sloan Digital Sky Survey ◽  
Novel Technique ◽  
Sky Survey

AbstractWe present accurate measurements of the large-scale clustering of photometric quasars from the Sloan Digital Sky Survey. These results, detailed in Leistedt & Peiris (2014), rely on a novel technique to identify and treat systematics when measuring angular power spectra, using null-tests and analytical marginalisation. This approach can be used to maximise the extraction of information from current and future galaxy or quasar surveys. For example, it enables to robustly constrain primordial non-Gaussianity (PNG), which modifies the bias of galaxies and quasars on large scales – the most sensitive to observational systematics. The constraints on PNG obtained with the quasar power spectra are detailed in Leistedt, Peiris & Roth (2014); these are the most stringent constraints to date obtained with a single tracer of the large-scale structure.

Spatial Variations of Galaxy Number Counts in the Sloan Digital Sky Survey. I. Extinction, Large-Scale Structure, and Photometric Homogeneity

2004 ◽  
Vol 127 (6) ◽  
pp. 3155-3160 ◽  
Author(s):  
Masataka Fukugita ◽  
Naoki Yasuda ◽  
Jon Brinkmann ◽  
James E. Gunn ◽  
Željko Ivezić ◽  
...  
Keyword(s):  
Large Scale ◽  
Large Scale Structure ◽  
Spatial Variations ◽  
Scale Structure ◽  
Sloan Digital Sky Survey ◽  
Sky Survey ◽  
Number Counts
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