Probing cosmology with weak lensing selected clusters I: Halo approach and all-sky simulations
Masato Shirasaki, Takashi Hamana, Naoki Yoshida

TL;DR
This paper develops and tests a halo model for predicting the abundance and clustering of weak lensing selected galaxy clusters, validated with large all-sky simulations, and discusses implications for cosmological analyses.
Contribution
The paper introduces a halo model incorporating observational effects and validates it against extensive mock all-sky weak lensing simulations, improving predictions of cluster statistics.
Findings
The halo model accurately predicts cluster abundance and clustering.
Shape noise correction significantly affects cluster abundance and clustering.
Sky masking impacts the covariance of cosmic shear measurements.
Abstract
We explore a variety of statistics of clusters selected with cosmic shear measurement by utilizing both analytic models and large numerical simulations. We first develop a halo model to predict the abundance and the clustering of weak lensing selected clusters. Observational effects such as galaxy shape noise are included in our model. We then generate realistic mock weak lensing catalogs to test the accuracy of our analytic model. To this end, we perform full-sky ray-tracing simulations that allow us to have multiple realizations of a large continuous area. We model the masked regions on the sky using the actual positions of bright stars, and generate 200 mock weak lensing catalogs with sky coverage of ~1000 squared degrees. We show that our theoretical model agrees well with the ensemble average of statistics and their covariances calculated directly from the mock catalogues. With a…
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