Improving electron/proton discrimination at high energies with CALET on the International Space Station
Year: 2025
Type: conference-paper
Abstract: The CALorimetric Electron Telescope (CALET), operating aboard the International Space Station since October 2015, is an experiment dedicated to high-energy astroparticle physics. The primary scientific goal of the experiment is the measurement of the electron+positron flux up to the multi-TeV region. At such high energies, proton contamination - coupled with limited statistics - is the main challenge for this measurement and good electron/proton discrimination can be carried out by using machine learning techniques. So far, we have tested and used only algorithms implemented in the ROOT TMVA package: in particular, the Boosted Decision Tree (BDT) algorithm leads to proton contamination below 10% up to 7.5 TeV with an 80% electron efficiency. In principle, better performance can be achieved by using Python packages, which offer a larger variety of machine learning algorithms and tuning parameters compared to TMVA. In this work, we will present a comparison of the performance obtained with the BDT algorithm implemented in TMVA and Python (XGBoost), while alternative approaches based on neural networks (e.g., Keras) will be explored in future studies.
DOI: 10.22323/1.501.0011
Institution: University of Florence
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Funders: National Aeronautics and Space Administration, University of Maryland, Baltimore County, University of Chicago, Nihon University, Louisiana State University, University of Denver, Università degli Studi di Siena, Ministry of Education, Culture, Sports, Science and Technology, Università degli Studi di Padova, Okinawa Institute of Science and Technology Graduate University, Waseda University, Università degli Studi di Firenze, University of Tokyo, Aoyama Gakuin University, Ritsumeikan University, Hirosaki University, Kanagawa University, National Astronomical Observatory of Japan, High Energy Accelerator Research Organization, Università di Pisa, Iran Telecommunication Research Center, Tokyo Metropolitan University, Goddard Space Flight Center, College of Science and Engineering, University of Minnesota, Japan Society for the Promotion of Science, Japan Aerospace Exploration Agency, National Institute of Information and Communications Technology, Institute of Space and Astronautical Science
Awards: G1220896492, G1386725143, ABSTRACT THE CALET (CALORIMETRIC ELECTRON TELESCOPE) MISSION TO THE ISS HAS BEEN UNDER DEVELOPMENT FOR THE PAST DECADE AS A JAPANESE LED INTERNATIONA, G2000598668, G2131571848, G2319172811, THIS IS A CO-I PROPOSAL THAT SHOULD BE CROSS-REFERENCED TO THE LOUISIANA STATE UNIVERSITY PROPOSAL TITLED "CALET: FLIGHT OPERATIONS AND DATA ANALYSIS, G3056662531, G4270588743, Long-term observations to study the origins of Galactic Cosmic Rays and search for Dark Matter with CALET, G5692548517, G6003493752, Establishing a new concept in cosmic ray physics from the Earth and Heliosphere to the Milky Way through long-term CALET observations, Research on the Acceleration and Propagation of Cosmic Rays by High-precision Direct Observation, 腐食疲れに対する設計基準の確立に関する研究, 粉体, 粒体等の水分の精密測定装置の研究, G8154076309, Search for nearby sources and dark matter signatures by precise measurement of cosmic-ray electrons in the TeV region
OpenAlex ID: W4414419431