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Theoretical wavelet ℓ1-norm from one-point probability density function prediction

delete2024-10-31
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PRE
AI
V
Vilasini Tinnaneri Sreekanth *
S
Sandrine Codis
A
Alexandre Barthelemy
J
Jean‐Luc Starck
DOI:10.1051/0004-6361/202450061delete
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Abstract

Abstract

En 中文
Context. Weak gravitational lensing, which results from the bending of light by matter along the line of sight, is a potent tool for exploring large-scale structures, particularly in quantifying non-Gaussianities. It is a pivotal objective for upcoming surveys. In the realm of current and forthcoming full-sky weak-lensing surveys, convergence maps, which represent a line-of-sight integration of the matter density field up to the source redshift, facilitate field-level inference. This provides an advantageous avenue for cosmological exploration. Traditional two-point statistics fall short of capturing non-Gaussianities, necessitating the use of higher-order statistics to extract this crucial information. Among the various available higher-order statistics, the wavelet & ell;1 -norm has proven its efficiency in inferring cosmology. However, the lack of a robust theoretical framework mandates reliance on simulations, which demand substantial resources and time. Aims. Our novel approach introduces a theoretical prediction of the wavelet & ell;1-norm for weak-lensing convergence maps that is grounded in the principles of large-deviation theory. This method builds upon recent work and offers a theoretical prescription for an aperture mass one-point probability density function. Methods. We present for the first time a theoretical prediction of the wavelet & ell;1-norm for convergence maps that is derived from the theoretical prediction of their one-point probability distribution. Additionally, we explored the cosmological dependence of this prediction and validated the results on simulations. Results. A comparison of our predicted wavelet & ell;1 -norm with simulations demonstrates a high level of accuracy in the weakly nonlinear regime. Moreover, we show its ability to capture cosmological dependence. This paves the way for a more robust and efficient parameter-inference process.
Keywords:
gravitational lensing: weak
cosmology: miscellaneous
cosmology: theory
dark matter
large-scale structure of Universe

Journal

Astronomy and Astrophysics cover
Astronomy and Astrophysics
IF:
5.8
Papers:
5.0W
Citations:
18.3W

Organization

C
centre national de la recherche scientifique (cnrs)
Scholars:
24.5W
Papers: 18.2W
Citations: 279
C
CEA
Scholars:
3.5W
Papers: 2.3W
Citations: 62