Algorithm for Identification of Varieties and Energies of Charged Particles for Studying the Phenomenon of Seismic-Magnetospheric Correlation
DOI:
https://doi.org/10.31649/1997-9266-2023-168-3-66-71Keywords:
algorithm, detector, terphenyl, SNR, crystal, AWGN, CubeSat, signal processingAbstract
An algorithm for identifying types and energies of high-energy elementary charged particles and its hardware implementation is proposed. The accuracy of the operation of the algorithm will to some extent depend on the impact of noise, which distorts the value sampled by the digital signal processing (DSP) module. Therefore, along with the development of the algorithm, it is necessary to check the influence of the noise used in the construction of the element base on the reliability of the data obtained when the signal is sampled by the DSP module. It is especially possible to change the count of the number of charged particles relating to particles with energies that lie on the border of energy ranges referred to other ranges. This will lead to a distortion of the recorded response in the detector system to the studied ionospheric disturbance. This disturbance manifests itself as an increase in the concentration of charge carriers in near-Earth plasma flows in response to seismic activity in a certain region of the planet. The construction of the module structure is based on the method of identifying the type of charged particles based on measurements of specific energy losses and total energy, or abbreviated ΔE–E method. It is used in the study of elementary acts of nuclear interactions, which makes it possible to classify the type and energy of a charged particle that has passed through a detector system formed by para-terphenyl scintillation crystals used in the experiment. The proposed algorithm makes it possible to accumulate the statistics of counted particles captured by the collimator device of the electron and proton recorder-analyzer in the Earth’s radiation belts. This will make it possible to study better the phenomenon of seismically magnetospheric correlation. The initial data for the construction of the algorithm are analytical considerations to facilitate the handling of arrays of extracted data and the results of simulation of the passage of charged particles detected in the telescopic system by simulation in the CERN GEANT4 software environment using the Monte Carlo method.
References
Л. Ф. Чорногор, «Іоносфера», ЕСУ, І. М. Дзюба та ін., ред. Київ: ІЕнД НАНУ, 2011. [Електронний ресурс]. Режим доступу: https://esu.com.ua/article-12561 .
О. В. Дудник, і Є. В. Курбатов, «Використання наносупутників для вивчення природи мікросплесків високоенергетичних частинок у магнітосфері землі: ідея космічного експерименту,» Космічна наука і технологія. Київ, Україна: ВД Академперіодика, 2018. [Онлайн]. Режим доступу: https://www.mao.kiev.ua/biblio/jscans/knit/2018-24/knit-2018-24-2-04-dudnik.pdf
S. Yu. Aleksandrin et al. “High-energy charged particle bursts in the near-Earth space as earthquake precursors,” Annales Geophysicae, European Geosciences Union, 2003. [Electronic resource]. Available: https://hal.science/hal-00317001/document .
O. V. Dudnik et al. “Simulation of CubeSat caliber particle detector “MiRA_ep” response to energetic electrons and protons using GEANT4 package,” Proc. of SPIE, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments, 2019.
Downloads
-
PDF (Українська)
Downloads: 66
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).