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Published in 2018 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2018/06/017
Abstract: The cubic Galileon model containing the lowest non-trivial order action of the full Galileon action can produce the stable late-time cosmic acceleration. This model can have a significant role in the growth of structures. The…
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Keywords:
probe;
weak lensing;
model;
galileon model ... See more keywords
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Published in 2019 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2019/03/020
Abstract: Feedback processes from baryons are expected to strongly affect weak-lensing observables of current and future cosmological surveys. In this paper we present a new parametrisation of halo profiles based on gas, stellar, and dark matter…
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Keywords:
weak lensing;
gas;
effects matter;
power spectrum ... See more keywords
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Published in 2019 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2019/05/043
Abstract: We explore the effect of massive neutrinos on the weak lensing shear bispectrum using the Cosmological Massive Neutrino Simulations. We find that the primary effect of massive neutrinos is to suppress the amplitude of the…
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Keywords:
weak lensing;
bispectrum;
neutrino mass;
power spectrum ... See more keywords
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Published in 2019 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2019/05/045
Abstract: We present a full-sky derivation of weak lensing observables in the Post-Friedmann (PF) formalism. Weak lensing has the characteristic of mixing small scales and large scales since it is affected by inhomogeneities integrated along the…
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Keywords:
sky weak;
full sky;
lensing observables;
post friedmann ... See more keywords
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Published in 2019 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2019/06/019
Abstract: The presence of massive neutrinos affects structure formation, leaving imprints on large-scale structure observables such as the weak lensing field. The common lensing analyses with two-point statistics are insensitive to the large amount of non-Gaussian…
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Keywords:
neutrino mass;
minkowski functionals;
mass;
weak lensing ... See more keywords
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Published in 2019 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2019/06/033
Abstract: We investigate how the cosmological constraints from SNe Ia are improved by including the effects of weak-lensing convergence. To do so, we introduce the lognormal function as the convergence PDF modeling the lensing scatter of…
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Keywords:
lensing convergence;
weak lensing;
forecasts cosmological;
cosmological constraints ... See more keywords
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Published in 2019 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2019/10/004
Abstract: The observable universe contains density perturbations on scales larger than any finite volume survey. Perturbations on scales larger than a survey can measure degrade its power to constrain cosmological parameters. The dependence of survey observables…
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Keywords:
weak lensing;
survey;
sample covariance;
super sample ... See more keywords
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Published in 2021 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2021/10/081
Abstract: We use the modified and improved Richardson-Lucy (IRL) deconvolution algorithm to reconstruct the Primordial Power Spectrum (PPS) from the Weak Lensing Power Spectrum CL ϕϕ reconstructed from CMB anisotropies. This provides an independent window to…
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Keywords:
primordial power;
power;
weak lensing;
lensing power ... See more keywords
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Published in 2023 at "Research in Astronomy and Astrophysics"
DOI: 10.1088/1674-4527/acd589
Abstract: The weak gravitational lensing is a powerful tool in modern cosmology. To accurately measure the weak lensing signal, one has to control the systematic bias to a small level. One of the most difficult problems…
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Keywords:
weak lensing;
spread function;
chinese space;
space station ... See more keywords
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Published in 2020 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa127
Abstract: We present the first reconstruction of dark matter maps from weak lensing observational data using deep learning. We train a convolution neural network with a U-Net-based architecture on over 3.6 × 10^5 simulated data realizations with non-Gaussian…
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Keywords:
learning dark;
dark matter;
deep learning;
weak lensing ... See more keywords
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Published in 2021 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stab1495
Abstract: We present reconstructed convergence maps, mass maps, from the Dark Energy Survey (DES) third year (Y3) weak gravitational lensing data set. The mass maps are weighted projections of the density field (primarily dark matter) in…
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Keywords:
reconstruction;
energy survey;
map;
weak lensing ... See more keywords