S. C. Kang (Avtor), Y. Amarea (Avtor), D. Angelaszek (Avtor), N. Anthony (Avtor), G. H. Choi (Avtor), M. Chung (Avtor), M. Copley (Avtor), L. Derome (Avtor), L. Eraud (Avtor), C. Falana (Avtor), J. P. Lundquist (Avtor)

Povzetek

Cosmic Ray Energetics And Mass for the International Space Station (ISS-CREAM) is an experiment for studying the origin, acceleration, and propagation mechanisms of high-energy cosmic rays. The ISS-CREAM instrument was launched on the 14th of August 2017 to the ISS aboard the SpaceX-12 Dragon spacecraft. The Top and Bottom Counting Detectors (TCD/BCD) are parts of the ISS-CREAM instrument and designed for studying electron and gamma-ray physics. The TCD/BCD each consist of an array of 20 × 20 photodiodes on a plastic scintillator. The TCD/BCD can separate electrons from protons by using the difference between the shapes of electromagnetic and hadronic showers in the high energy region. The Boosted Decision Tree (BDT) method, which is a deep learning method, is used in this separation study. We will present results of the electron/proton separation study and rejection power in various energy ranges.

Ključne besede

instrumentations;high energy cosmic rays;particle detectors;composition;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija: UNG - Univerza v Novi Gorici
UDK: 539.1
COBISS: 50527235 Povezava se bo odprla v novem oknu
ISSN: 1824-8039
Št. ogledov: 1559
Št. prenosov: 0
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

URN: URN:SI:UNG
Strani: str. [1], 1-7
Čas izdaje: 2019
ID: 12544192
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