316 citations · 1.5k across the 19 of their papers we have counts for
21 papers
New Particle Identification Approach with Convolutional Neural Networks in GAPS
Masahiro Yamatani, Yusuke Nakagami, Hideyuki Fuke +4
The General Antiparticle Spectrometer (GAPS) is a balloon-borne experiment that aims to measure low-energy cosmic-ray antiparticles. GAPS has developed a new antiparticle identific…
GAPS: Searching for Dark Matter using Antinuclei in Cosmic Rays
R. Bird, T. Aramaki, M. Boezio +47
The General Antiparticle Spectrometer (GAPS) will carry out a sensitive dark matter search by measuring low-energy () cosmic ray antinuclei.…
Application of Machine Learning to the Particle Identification of GAPS
Takuya Wada, Hideyuki Fuke, Yuki Shimizu +1
GAPS is an international balloon-borne project that contributes to solving the dark-matter mystery through a highly sensitive survey of cosmic-ray antiparticles, especially undisco…
An Indirect Dark Matter Search Using Cosmic-Ray Antiparticles with GAPS
Alexander Lowell, Tsuguo Aramaki, Ralph Bird +30
Experiments aiming to directly detect dark matter (DM) particles have yet to make robust detections, thus underscoring the need for complementary approaches such as searches for ne…
Hadronic Paschen-Back effect
Sachio Iwasaki, Makoto Oka, Kei Suzuki +1
We find a novel phenomenon induced by the interplay between a strong magnetic field and finite orbital angular momenta in hadronic systems, which is analogous to the Paschen-Back e…
Heavy meson spectroscopy under strong magnetic field
Tetsuya Yoshida, Kei Suzuki
Spectra of the neutral heavy mesons, , , , , , , , , , and , in a homogeneous magnetic fie…