scholarly journals Probing features in the primordial perturbation spectrum with large-scale structure data

2018 ◽  
Vol 477 (2) ◽  
pp. 2503-2512 ◽  
Author(s):  
Benjamin L'Huillier ◽  
Arman Shafieloo ◽  
Dhiraj Kumar Hazra ◽  
George F Smoot ◽  
Alexei A Starobinsky
Keyword(s):  
Structure Data ◽  
Large Scale ◽  
Large Scale Structure ◽  
Scale Structure ◽  
Perturbation Spectrum

scholarly journals Abell Clusters as Tracers of Large-Scale Structure: Alignments and Substructure

1988 ◽  
Vol 130 ◽  
pp. 536-536
Author(s):  
G. Rhee ◽  
P. Katgert
Keyword(s):  
Structure Data ◽  
Large Scale ◽  
Large Scale Structure ◽  
Scale Structure ◽  
Abell Clusters

Binggeli (A & A, 107, 338, 1982) showed that neighbouring Abell clusters with pair distances less than 30 to 40 h50−1 Mpc show directional correlation. Binggeli's result is based on structure data of 44 Abell clusters (all with zspectr < 0.1). Binggelli's result was questioned by Struble and Peebles (A.J., 90, 582, 1985). They produce a visual estimate of the direction of cluster elongation for 237 clusters. They did not observe reduced probability for small D large Θ pairs.

scholarly journals Constraints on neutrino-dark matter interactions from cosmic microwave background and large scale structure data

2010 ◽  
Vol 81 (4) ◽  
Author(s):  
Paolo Serra ◽  
Federico Zalamea ◽  
Asantha Cooray ◽  
Gianpiero Mangano ◽  
Alessandro Melchiorri
Keyword(s):  
Dark Matter ◽  
Cosmic Microwave Background ◽  
Structure Data ◽  
Large Scale ◽  
Large Scale Structure ◽  
Scale Structure ◽  
Microwave Background

scholarly journals The growth of density perturbations in the last ∼10 billion years from tomographic large-scale structure data

2021 ◽  
Vol 2021 (10) ◽  
pp. 030
Author(s):  
Carlos García-García ◽  
Jaime Ruiz-Zapatero ◽  
David Alonso ◽  
Emilio Bellini ◽  
Pedro G. Ferreira ◽  
...  
Keyword(s):  
Structure Data ◽  
Large Scale ◽  
Large Scale Structure ◽  
Scale Structure ◽  
Density Perturbations

scholarly journals Modelling the Large Scale Structure of the Universe after COBE

1995 ◽  
Vol 48 (6) ◽  
pp. 1083 ◽  
Author(s):  
PJ Quinn
Keyword(s):  
Dark Matter ◽  
Large Scale ◽  
Cold Dark Matter ◽  
Large Scale Structure ◽  
Scale Structure ◽  
Expanding Universe ◽  
Model Predictions ◽  
Perturbation Spectrum ◽  
The Universe

N-body models running on supercomputers have been widely used to explore the development of structure in the expanding Universe. Recent results from the COBE satellite have provided a global normalisation of these models which now allows detailed comparisons to be drawn between observations and model predictions. Some predictions of the cold dark matter primordial perturbation spectrum are now shown to be consistent with surveys of galaxy redshifts.

scholarly journals Developing a unified pipeline for large-scale structure data analysis with angular power spectra – II. A case study for magnification bias and radio continuum surveys

2019 ◽  
Vol 491 (4) ◽  
pp. 4869-4883 ◽  
Author(s):  
Konstantinos Tanidis ◽  
Stefano Camera ◽  
David Parkinson
Keyword(s):  
Parameter Estimation ◽  
Data Analysis ◽  
Structure Data ◽  
Large Scale ◽  
Power Spectra ◽  
Large Scale Structure ◽  
Scale Structure ◽  
Radio Continuum ◽  
The Universe

ABSTRACT Following on our purpose of developing a unified pipeline for large-scale structure data analysis with angular power spectra, we now include the weak lensing effect of magnification bias on galaxy clustering in a publicly available, modular parameter estimation code. We thus forecast constraints on the parameters of the concordance cosmological model, dark energy, and modified gravity theories from galaxy clustering tomographic angular power spectra. We find that a correct modelling of magnification is crucial not to bias the parameter estimation, especially in the case of deep galaxy surveys. Our case study adopts specifications of the Evolutionary Map of the Universe, which is a full-sky, deep radio-continuum survey, expected to probe the Universe up to redshift z ∼ 6. We assume the Limber approximation, and include magnification bias on top of density fluctuations and redshift-space distortions. By restricting our analysis to the regime where the Limber approximation holds true, we significantly minimize the computational time needed, compared to that of the exact calculation. We also show that there is a trend for more biased parameter estimates from neglecting magnification when the redshift bins are very wide. We conclude that this result implies a strong dependence on the lensing contribution, which is an integrated effect and becomes dominant when wide redshift bins are considered. Finally, we note that instead of being considered a contaminant, magnification bias encodes important cosmological information, and its inclusion leads to an alleviation of its degeneracy between the galaxy bias and the amplitude normalization of the matter fluctuations.

scholarly journals Disconnected pseudo-Cℓ covariances for projected large-scale structure data

2019 ◽  
Vol 2019 (11) ◽  
pp. 043-043 ◽  
Author(s):  
Carlos García-García ◽  
David Alonso ◽  
Emilio Bellini
Keyword(s):  
Structure Data ◽  
Large Scale ◽  
Large Scale Structure ◽  
Scale Structure
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