Application of Machine Learning to the Particle Identification of GAPS

Abstract

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 undiscovered antideuterons. To achieve a sufficient sensitivity to rare antideuterons, a novel particle identification method based on exotic atom capture and decay has been developed. In parallel to utilizing this unique event signature in a conventional likelihood-based event identification scheme, we have begun investigating a complementary approach using a machine learning technique. In this new approach, a deep-learning package is trained on a large amount of input data from simulated antiparticle events through a multi-layered neural network. By applying this unbiased approach, we expect to mine unknown patterns and give feedback to the conventional method. In this paper, we report results from exploratory investigations that illustrate the promise of this new approach.

References in corpus (14)

• PAMELA results on the cosmic-ray antiproton flux from 60 MeV to 180 GeV in kinetic energy
• Antideuterons as a Signature of Supersymmetric Dark Matter
• Measurement of the cosmic-ray antiproton spectrum at solar minimum with a long-duration balloon flight over Antarctica
• Search for Cosmic-Ray Antideuterons
• A novel antimatter detector based on X-ray deexcitation of exotic atoms
• Antideuteron Sensitivity for the GAPS Experiment
• Determination of the Cosmic Antideuteron Flux in a Monte Carlo approach
• Development of the Gaseous Antiparticle Spectrometer for Space-based Antimatter Detection
• Potential for Precision Measurement of Low-Energy Antiprotons with GAPS for Dark Matter and Primordial Black Hole Physics
• Fabrication of low-cost, large-area prototype Si(Li) detectors for the GAPS experiment
• The flight of the GAPS prototype experiment
• The pGAPS experiment: an engineering balloon flight of prototype GAPS
• Large-area Si(Li) detectors for X-ray spectrometry and particle tracking in the GAPS experiment
• A Measurement of Atomic X-ray Yields in Exotic Atoms and Implications for an Antideuteron-Based Dark Matter Search