Matching Cosmic Shear Analysis in Harmonic and Real Space
Andy Park, Sukhdeep Singh, Xiangchong Li, Rachel Mandelbaum, and Tianqing Zhang

TL;DR
This paper introduces a unified method using the iMaster algorithm to analyze cosmic shear data consistently in both harmonic and real space, resolving previous discrepancies in parameter estimation.
Contribution
The paper demonstrates that the iMaster algorithm provides consistent, unbiased cosmic shear power spectrum estimates in real and harmonic space, improving analysis robustness.
Findings
Matching results in real and harmonic space analyses
High correlation coefficient of 0.997 between methods
Mean difference in S8 estimates is negligible (0.0004)
Abstract
Recent cosmic shear analyses have exhibited discrepancies of up to between the inferred cosmological parameters when analyzing summary statistics in real space versus harmonic space. In this paper, we demonstrate the consistent measurement and analysis of cosmic shear two-point functions in harmonic and real space using the {\sc Master} algorithm. This algorithm provides a unified prescription to model the survey window effects and scale cuts in both real space (due to observational systematics) and harmonic space (due to model limitations), resulting in a matching estimation of the cosmic shear power spectrum from both harmonic and real space estimators. We show that the \textsc{Master} algorithm gives matching results using measurements from the HSC Y1 mock shape catalogs in both real and harmonic space, resulting in matching inferences of…
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Taxonomy
TopicsAstro and Planetary Science · Stellar, planetary, and galactic studies · Astronomy and Astrophysical Research
