Making the leap I: Modelling the reconstructed lensing convergence PDF from cosmic shear with survey masks and systematics

Fuente: arXiv
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Autori principali: Barthelemy, Alexandre, Halder, Anik, Gong, Zhengyangguang, Uhlemann, Cora
Natura: Preprint
Pubblicazione: 2023
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author Barthelemy, Alexandre
Halder, Anik
Gong, Zhengyangguang
Uhlemann, Cora
author_facet Barthelemy, Alexandre
Halder, Anik
Gong, Zhengyangguang
Uhlemann, Cora
contents The last few years have seen the development of a promising theoretical framework for statistics of the cosmic large-scale structure -- the theory of large deviations (LDT) for modelling weak-lensing one-point statistics in the mildly non-linear regime. The goal of this series of papers is to make the leap and lay out the steps to perform an actual data analysis with this theoretical tool. Building upon the LDT framework, in this work (Paper I) we demonstrate how to accurately model the Probability Distribution Function (PDF) of a reconstructed Kaiser-Squires convergence field under a realistic mask, that of the third data release of the Dark Energy Survey (DES). We also present how weak lensing systematics and higher-order lensing corrections due to intrinsic alignments, shear biases, photo-$z$ errors and baryonic feedback can be incorporated in the modelling of the reconstructed convergence PDF. In an upcoming work (Paper II) we will then demonstrate the robustness of our modelling through simulated likelihood analyses, the final step required before applying our method to actual data.
format Preprint
id arxiv_https___arxiv_org_abs_2307_09468
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Making the leap I: Modelling the reconstructed lensing convergence PDF from cosmic shear with survey masks and systematics
Barthelemy, Alexandre
Halder, Anik
Gong, Zhengyangguang
Uhlemann, Cora
Cosmology and Nongalactic Astrophysics
The last few years have seen the development of a promising theoretical framework for statistics of the cosmic large-scale structure -- the theory of large deviations (LDT) for modelling weak-lensing one-point statistics in the mildly non-linear regime. The goal of this series of papers is to make the leap and lay out the steps to perform an actual data analysis with this theoretical tool. Building upon the LDT framework, in this work (Paper I) we demonstrate how to accurately model the Probability Distribution Function (PDF) of a reconstructed Kaiser-Squires convergence field under a realistic mask, that of the third data release of the Dark Energy Survey (DES). We also present how weak lensing systematics and higher-order lensing corrections due to intrinsic alignments, shear biases, photo-$z$ errors and baryonic feedback can be incorporated in the modelling of the reconstructed convergence PDF. In an upcoming work (Paper II) we will then demonstrate the robustness of our modelling through simulated likelihood analyses, the final step required before applying our method to actual data.
title Making the leap I: Modelling the reconstructed lensing convergence PDF from cosmic shear with survey masks and systematics
topic Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2307.09468