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Luminosity-Dependent Assembly Bias of Central Galaxies from Weak Lensing and Clustering
Zhenjie Liu, Hironao Miyatake, Joop Schaye +3
Assembly bias, which is the variation in halo clustering at fixed mass driven by formation history, has long been predicted by numerical simulations but remains difficult to confir…
Hyper Suprime-Cam Y3 results: photo- bias calibration with lensing shear ratios and cosmological constraints from cosmic shear
Divya Rana, Surhud More, Hironao Miyatake +3
We present an independent calibration of the photometric redshift (photo-) distributions for source galaxies in the HSC-Y3 weak lensing survey using small-scale galaxy-galaxy le…
Cosmology and Source Redshift Constraints from Galaxy Clustering and Tomographic Weak Lensing with HSC Y3 and SDSS using the Point-Mass Correction Model
Tianqing Zhang, Xiangchong Li, Sunao Sugiyama +13
The combination of galaxy clustering and weak lensing is a powerful probe of the cosmology model. We present a joint analysis of galaxy clustering and weak lensing cosmology using…
Modelling Galaxy Clustering and Tomographic Galaxy-Galaxy Lensing with HSC Y3 and SDSS using the Point-Mass Correction Model and Redshift Self-Calibration
Tianqing Zhang, Sunao Sugiyama, Surhud More +13
The combination of galaxy-galaxy weak lensing and galaxy clustering is a powerful probe of the cosmological model, and exploration of how to best model and extract this information…
Cosmology with Galaxy Clusters
Hironao Miyatake
We review recent advancements in cosmology with galaxy clusters. Galaxy clusters are the most massive objects in the Universe. Consequently the cluster number density as a function…
CMB lensing tomography with clustering estimation of lens redshift distributions
Shun Arai, John A. Peacock, Hironao Miyatake +1
We develop a clustering-based redshift estimation approach for CMB lensing tomography, focusing on the kernel function of the lensing galaxies. Within a linear galaxy bias framewor…