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Cosmological inference from emulator based halo model I: Validation tests with HSC and SDSS mock catalogs
Hironao Miyatake, Yosuke Kobayashi, Masahiro Takada +7
We present validation tests of emulator-based halo model method for cosmological parameter inference, assuming hypothetical measurements of the projected correlation function of ga…
Constraining Primordial Non-Gaussianity with Post-reconstructed Galaxy Bispectrum in Redshift Space
Masato Shirasaki, Naonori S. Sugiyama, Ryuichi Takahashi +1
Galaxy bispectrum is a promising probe of inflationary physics in the early universe as a measure of primordial non-Gaussianity (PNG), whereas its signal-to-noise ratio is signific…
Deep Learning for Line Intensity Mapping Observations: Information Extraction from Noisy Maps
Kana Moriwaki, Masato Shirasaki, Naoki Yoshida
Line intensity mapping (LIM) is a promising observational method to probe large-scale fluctuations of line emission from distant galaxies. Data from wide-field LIM observations all…
Validating a minimal galaxy bias method for cosmological parameter inference using HSC-SDSS mock catalogs
Sunao Sugiyama, Masahiro Takada, Yosuke Kobayashi +4
We assess the performance of a perturbation theory inspired method for inferring cosmological parameters from the joint measurements of galaxy-galaxy weak lensing () and the pr…
A semi-analytic model of pairwise velocity distribution between dark matter halos
Masato Shirasaki, Eric M. Huff, Katarina Markovic +1
We study the probability distribution function (PDF) of relative velocity between two different dark matter halos (i.e. pairwise velocity) with a set of high-resolution cosmologica…
Weak lensing clusters from HSC survey first-year data: Mitigating the dilution effect of foreground and cluster member galaxies
Takashi Hamana, Masato Shirasaki, Yen-Ting Lin
We present a weak lensing cluster search using Hyper Suprime-Cam Subaru Strategic Program (HSC survey) first-year data. We pay special attention to the dilution effect of cluster m…
Deep learning for intensity mapping observations: Component extraction
Kana Moriwaki, Nina Filippova, Masato Shirasaki +1
Line intensity mapping (LIM) is an emerging observational method to study the large-scale structure of the Universe and its evolution. LIM does not resolve individual sources but p…