40 citations · 105 across the 10 of their papers we have counts for
25 papers
Application of deep learning to the evaluation of goodness in the waveform processing of transition-edge sensor calorimeters
Y. Ichinohe, S. Yamada, R. Hayakawa +5
Optimal filtering is the crucial technique for the data analysis of transition-edge-sensor (TES) calorimeters to achieve their state-of-the-art energy resolutions. Filtering out th…
Simulations of expected signal and background of gamma-ray sources by large field-of-view detectors aboard CubeSats
Gábor Galgóczi, Jakub Řípa, Riccardo Campana +19
In recent years the number of CubeSats (U-class spacecrafts) launched into space has increased exponentially marking the dawn of the nanosatellite technology. In general these sate…
The simulation framework of the timing-based localization for future all-sky gamma-ray observations with a fleet of Cubesats
Masanori Ohno, Norbert Werner, Andras Pal +22
The timing-based localization, which utilize the triangulation principle with the different arrival time of gamma-ray photons, with a fleet of Cubesats is a unique and powerful sol…
GRBAlpha: A 1U CubeSat mission for validating timing-based gamma-ray burst localization
András Pál, Masanori Ohno, László Mészáros +26
GRBAlpha is a 1U CubeSat mission with an expected launch date in the first half of 2021. It carries a 75 x 75 x 5 mm CsI(Tl) scintillator, read out by a dual-channel multi-pixel ph…
Substructures in the core of Abell 2319
Y. Ichinohe, A. Simionescu, N. Werner +2
We analysed the deep archival Chandra observations of the high-temperature galaxy cluster Abell 2319 to investigate the prominent cold front in its core. The main sharp arc of the…
Snowmass 2021 Letter of Interest: The GRAMS Project: MeV Gamma-Ray Observations and Antimatter-Based Dark Matter Searches
Tsuguo Aramaki, Jonathan Asaadi, Yuto Ichinohe +10
The Gamma-Ray and AntiMatter Survey (GRAMS) project is a proposed next-generation balloon/satellite mission targeting both MeV gamma-ray observations and antimatter-based dark matt…