409 citations · 5.9k across the 98 of their papers we have counts for
98 papers
Generation of high circular polarization of interstellar Lyman radiation triggering biological homochirality
Hajime Fukushima, Hidenobu Yajima, Masayuki Umemura
The homochirality of biological molecules on the Earth is a long-standing mystery regarding the origin of life. Circularly polarized ultraviolet (UV) light could induce the enantio…
EMPRESS. XII. Statistics on the Dynamics and Gas Mass Fraction of Extremely-Metal Poor Galaxies
Yi Xu, Masami Ouchi, Yuki Isobe +49
We present demography of the dynamics and gas-mass fraction of 33 extremely metal-poor galaxies (EMPGs) with metallicities of and low stellar masses of $10^4-…
3D Photon Conserving Code for Time-dependent General Relativistic Radiative Transfer : CARTOON
Mikiya M. Takahashi, Ken Ohsuga, Rohta Takahashi +3
We develop the 3-dimensional general relativistic radiative transfer code: CARTOON (Calculation code of Authentic Radiative Transfer based On phOton Number conservation in curved s…
EMPRESS. VIII. A New Determination of Primordial He Abundance with Extremely Metal-Poor Galaxies: A Suggestion of the Lepton Asymmetry and Implications for the Hubble Tension
Akinori Matsumoto, Masami Ouchi, Kimihiko Nakajima +42
The primordial He abundance is a powerful probe of cosmology. Currently, is best determined by observations of metal-poor galaxies, while there are on…
TRINITY: a three-dimensional time-dependent radiative transfer code for in-vivo near-infrared imaging
Hidenobu Yajima, Makito Abe, Masayuki Umemura +2
We develop a new three-dimensional time-dependent radiative transfer code, TRINITY (Time-dependent Radiative transfer In Near-Infrared TomographY), for in-vivo diffuse optical tomo…
Deep Learning of Diffuse Optical Tomography based on Time-Domain Radiative Transfer Equation
Yu-ichi Takamizu, Masayuki Umemura, Hidenobu Yajima +2
Near infrared diffuse optical tomography (DOT) provides an imaging modality for the oxygenation of tissue. In this paper, we propose a novel machine learning algorithm based on tim…