Cosmological inference from emulator based halo model I: Validation tests with HSC and SDSS mock catalogs
Hironao Miyatake, Yosuke Kobayashi, Masahiro Takada, Takahiro, Nishimichi, Masato Shirasaki, Sunao Sugiyama, Ryuichi Takahashi, Ken Osato,, Surhud More, Youngsoo Park

TL;DR
This paper validates an emulator-based halo model method for cosmological inference using mock galaxy catalogs, demonstrating accurate parameter recovery and potential for application to real survey data like HSC-Y1.
Contribution
The study introduces a validated emulator-based halo model approach for cosmological parameter inference, incorporating mock tests with SDSS and HSC-Y1 data.
Findings
The method recovers true cosmological parameters within 68% credible intervals.
It remains effective even with assembly bias if scales above 10 Mpc/h are used.
Self-calibration of redshift errors and shear bias is achievable with joint probes.
Abstract
We present validation tests of emulator-based halo model method for cosmological parameter inference, assuming hypothetical measurements of the projected correlation function of galaxies, , and the galaxy-galaxy weak lensing, , from the spectroscopic SDSS galaxies and the Hyper Suprime-Cam Year1 (HSC-Y1) galaxies. To do this, we use \textsc{Dark Emulator} developed in Nishimichi et al. based on an ensemble of -body simulations, which is an emulation package enabling a fast, accurate computation of halo clustering quantities for flat-geometry CDM cosmologies. Adopting the halo occupation distribution, the emulator allows us to obtain model predictions of and for the SDSS-like galaxies at a few CPU seconds for an input set of parameters. We present performance and validation of the method by carrying out Markov Chain…
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