scholarly journals Weak Lensing by Large‐Scale Structure with the FIRST Radio Survey

2004 ◽  
Vol 617 (2) ◽  
pp. 794-810 ◽  
Author(s):  
Tzu‐Ching Chang ◽  
Alexandre Refregier ◽  
David J. Helfand

2015 ◽  
Vol 2015 (10) ◽  
pp. 036-036 ◽  
Author(s):  
Nicolas Tessore ◽  
Hans A. Winther ◽  
R. Benton Metcalf ◽  
Pedro G. Ferreira ◽  
Carlo Giocoli


2004 ◽  
Vol 2004 (IAUS225) ◽  
pp. 105-109 ◽  
Author(s):  
A. Amblard ◽  
C. Vale ◽  
M. White


2006 ◽  
Vol 21 (01) ◽  
pp. 1-21 ◽  
Author(s):  
LAURA MERSINI-HOUGHTON

Predicting signatures of string theory on cosmological observables is not sufficient. Often the observable effects string theory may impact upon the cosmological arena which may equally be predicted by features of inflationary physics. The question: what observable signatures are unique to new physics, is thus of crucial importance for claiming evidence for the theory. Here we discuss recent progress in addressing the above question. The evidence relies on identifying discrepancies between the source terms that give rise to large scale structure (LSS) and CMB, by cross-correlating the weak lensing potential that maps LSS with the CMB spectra.



Author(s):  
Arthur B. Congdon ◽  
Charles R. Keeton


2000 ◽  
Vol 535 (1) ◽  
pp. L9-L12 ◽  
Author(s):  
Asantha Cooray ◽  
Wayne Hu ◽  
Jordi Miralda-Escudé


2020 ◽  
Vol 500 (1) ◽  
pp. 859-870
Author(s):  
Ben Moews ◽  
Morgan A Schmitz ◽  
Andrew J Lawler ◽  
Joe Zuntz ◽  
Alex I Malz ◽  
...  

ABSTRACT Cosmic voids and their corresponding redshift-projected mass densities, known as troughs, play an important role in our attempt to model the large-scale structure of the Universe. Understanding these structures enables us to compare the standard model with alternative cosmologies, constrain the dark energy equation of state, and distinguish between different gravitational theories. In this paper, we extend the subspace-constrained mean shift algorithm, a recently introduced method to estimate density ridges, and apply it to 2D weak lensing mass density maps from the Dark Energy Survey Y1 data release to identify curvilinear filamentary structures. We compare the obtained ridges with previous approaches to extract trough structure in the same data, and apply curvelets as an alternative wavelet-based method to constrain densities. We then invoke the Wasserstein distance between noisy and noiseless simulations to validate the denoising capabilities of our method. Our results demonstrate the viability of ridge estimation as a precursor for denoising weak lensing observables to recover the large-scale structure, paving the way for a more versatile and effective search for troughs.



1999 ◽  
Vol 515 (2) ◽  
pp. 455-464 ◽  
Author(s):  
Gabriela C. Surpi ◽  
Diego D. Harari


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