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Direct Measurements of Cosmic Rays (TeV and beyond) Using an Ultrathin Calorimeter: Lessening Fluctuation Method
- Source :
- Applied Sciences; Volume 11; Issue 23; Pages: 11189, Applied Sciences, Vol 11, Iss 11189, p 11189 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- In this paper, we propose a method that makes it possible to use an ultrathin calorimeter for direct measurements of cosmic rays with energies of TeV and higher. The problems of determining the primary energy with a thin calorimeter, due to large fluctuations in shower development, the low statistics of analyzed events and the large size required for the calorimeter, are considered in detail. A solution to these problems is proposed on the basis of a lessening fluctuation method. This method is based on the assumption of the universality of the development of cascades initiated by particles of the same energy and mass. For energy reconstruction, so-called correlation curves are used. The main analyzed quantities are the size of the cascade and the rate of its development. The method was tested using the calorimeter of the PAMELA collaboration. Based on simulations, it is shown that the primary energy can be determined on the ascending branch of the cascade curve. This fact solves the problems associated with the need to increase the calorimeter thickness with an increase in primary energy and with the limitation of the analyzed events. The proposed technique is universal for different energies and different nuclei.
- Subjects :
- Technology
Primary energy
QH301-705.5
QC1-999
Cosmic ray
cosmic rays
PAMELA
ultrathin calorimeter
General Materials Science
Biology (General)
direct measurements
energy reconstruction
shower development universality
QD1-999
Instrumentation
Fluid Flow and Transfer Processes
Physics
Calorimeter (particle physics)
Process Chemistry and Technology
General Engineering
Engineering (General). Civil engineering (General)
Computer Science Applications
Computational physics
Chemistry
Cascade
TA1-2040
Large size
Energy (signal processing)
Subjects
Details
- ISSN :
- 20763417
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....bf61177a171e214a5c455eb5851ea9a6