activity
20142026
most citedAtmospheric gas dynamics in the Perseus cluster observed with Hitomi

152 citations · 1.6k across the 86 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

astro-ph.CO2019★ 17 cited

Gas Density Perturbations in Cool Cores of CLASH Galaxy Clusters

Shutaro Ueda, Yuto Ichinohe, Sandor M. Molnar +2

We present a systematic study of gas density perturbations in cool cores of high-mass galaxy clusters. We select 12 relaxed clusters from the Cluster Lensing And Supernova survey w…

astro-ph.GA2019★ 2 cited

X-ray study of the double source plane gravitational lens system Eye of Horus observed with XMM-Newton

Keigo Tanaka, Ayumi Tsuji, Hiroki Akamatsu +19

A double source plane (DSP) system is a precious probe for the density profile of distant galaxies and cosmological parameters. However, these measurements could be affected by the…

astro-ph.HE2019★ 8 cited

Estimation of the detected background by the future gamma-ray transient mission CAMELOT

J. Ripa, G. Galgóczi, N. Werner +18

This study presents a background estimation for the Cubesats Applied for MEasuring and LOcalising Transients (CAMELOT), which is a proposed fleet of nanosatellites for the all-sky…

astro-ph.IM2019★ 11 cited

X-ray Study of Spatial Structures in Tycho's Supernova Remnant Using Unsupervised Deep Learning

Hiroyoshi Iwasaki, Yuto Ichinohe, Yasunobu Uchiyama

Recent rapid development of deep learning algorithms, which can implicitly capture structures in high-dimensional data, opens a new chapter in astronomical data analysis. We report…

physics.ins-det2019★ 5 cited

Mitigating the effects of charged particle strikes on TES arrays for exotic atom X-ray experiments

H. Tatsuno, D. A. Bennett, W. B. Doriese +16

Exotic atom experiments place transition-edge-sensor (TES) microcalorimeter arrays in a high-energy charged particle rich environment. When a high-energy charged particle passes th…

astro-ph.IM2019★ 20 cited

Neural network-based anomaly detection for high-resolution X-ray spectroscopy

Y. Ichinohe, S. Yamada

We propose an anomaly detection technique for high-resolution X-ray spectroscopy. The method is based on the neural network architecture variational autoencoder, and requires only…