2.4k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of TokyoJP25 papers
- Kavli Institute for the Physics and Mathematics of the UniverseJP15 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PadovaIT10 papers
- University of PaduaIT10 papers
- Hokkaido UniversityJP9 papers
- Kyoto UniversityJP9 papers
- Osservatorio Astronomico di PadovaIT9 papers
- Max Planck Institute for AstrophysicsDE8 papers
- The University of OsakaJP8 papers
- Agenzia Spaziale ItalianaIT6 papers
- Cardiff UniversityGB6 papers
- Centre National de la Recherche ScientifiqueFR6 papers
11 papers · 1 filter
Wide-angle effects on galaxy ellipticity correlations
Maresuke Shiraishi, Atsushi Taruya, Teppei Okumura +1
We show an efficient way to compute wide-angle or all-sky statistics of galaxy intrinsic alignment in three-dimensional configuration space. For this purpose, we expand the two-poi…
Cross-correlations as a Diagnostic Tool for Primordial Gravitational Waves
Ameek Malhotra, Ema Dimastrogiovanni, Matteo Fasiello +1
We explore and corroborate, by working out explicit examples, the effectiveness of cross-correlating stochastic gravitational wave background anisotropies with CMB temperature fluc…
Minimum variance estimation of statistical anisotropy via galaxy survey
Maresuke Shiraishi, Teppei Okumura, Kazuyuki Akitsu
We consider the benefits of measuring cosmic statistical anisotropy from redshift-space correlators of the galaxy number density fluctuation and the peculiar velocity field without…
Consistent Independent Low-Rank Matrix Analysis for Determined Blind Source Separation
Daichi Kitamura, Kohei Yatabe
Independent low-rank matrix analysis (ILRMA) is the state-of-the-art algorithm for blind source separation (BSS) in the determined situation (the number of microphones is greater t…
Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Sub-Gaussian Distribution
Keigo Kamo, Yuki Kubo, Norihiro Takamune +4
In this paper, we address a statistical model extension of multichannel nonnegative matrix factorization (MNMF) for blind source separation, and we propose a new parameter update a…
alpha+28Si and 16O+16O molecular states, and their isoscalar monopole strengths
M. Kimura, Y. Taniguchi
The properties of the alpha+28Si and 16O+16O molecular states which are embedded in the excited states of 32S and can have an impact on the stellar reactions are investigated using…
Minimum variance estimation of galaxy power spectrum in redshift space
Maresuke Shiraishi, Teppei Okumura, Naonori S. Sugiyama +1
We study an efficient way to enhance the measurability of the galaxy density and/or velocity power spectrum in redshift space. It is based on the angular decomposition with the Tri…
Determined BSS based on time-frequency masking and its application to harmonic vector analysis
Kohei Yatabe, Daichi Kitamura
This paper proposes harmonic vector analysis (HVA) based on a general algorithmic framework of audio blind source separation (BSS) that is also presented in this paper. BSS for a c…
Convergence-guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's t Distribution
Tatsuki Kondo, Kanta Fukushige, Norihiro Takamune +4
In this paper, we address a blind source separation (BSS) problem and propose a new extended framework of independent positive semidefinite tensor analysis (IPSDTA). IPSDTA is a st…
Regularized Fast Multichannel Nonnegative Matrix Factorization with ILRMA-based Prior Distribution of Joint-Diagonalization Process
Keigo Kamo, Yuki Kubo, Norihiro Takamune +4
In this paper, we address a convolutive blind source separation (BSS) problem and propose a new extended framework of FastMNMF by introducing prior information for joint diagonaliz…
Updated design of the CMB polarization experiment satellite LiteBIRD
H. Sugai, P. A. R. Ade, Y. Akiba +216
Recent developments of transition-edge sensors (TESs), based on extensive experience in ground-based experiments, have been making the sensor techniques mature enough for their app…