316 citations · 1.5k across the 19 of their papers we have counts for
4 papers · 1 filter
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…
The pGAPS experiment: an engineering balloon flight of prototype GAPS
Hideyuki Fuke, Rene A Ong, Tsuguo Aramaki +13
The General Anti-Particle Spectrometer (GAPS) project is being carried out to search for primary cosmic-ray antiparticles especially for antideuterons produced by cold dark matter.…