A new technique based on convolutional neural networks to measure the energy of protons and electrons with a single Timepix detector
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21670%2F21%3A00350009" target="_blank" >RIV/68407700:21670/21:00350009 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/TNS.2021.3071583" target="_blank" >https://doi.org/10.1109/TNS.2021.3071583</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TNS.2021.3071583" target="_blank" >10.1109/TNS.2021.3071583</a>
Alternative languages
Result language
angličtina
Original language name
A new technique based on convolutional neural networks to measure the energy of protons and electrons with a single Timepix detector
Original language description
The Timepix chip has been exposed to the outer space for the first time with the Space Application of Timepix-based Radiation Monitor (SATRAM) instrument on Project for On-Board Autonomy Vegetation (Proba-V), a European Space Agency's (ESA) satellite. The objective of this study is to develop a new technique to improve the separation of protons and electrons, which are detected by the single-layer Timepix detector in SATRAM. The current identification method proposed by Gohl et al. (2019) is based on pattern recognition and stopping power measurements. In this article, the limitations of this method are discussed. A new method based on neural network trained with Geant4 data is proposed. Its validation with SATRAM data is presented. Similarly, a neural network trained with Geant4 data is introduced. Its purpose is to deduce the particles' incident energy using the energy deposited in the Timepix.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10308 - Astronomy (including astrophysics,space science)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Nuclear Science
ISSN
0018-9499
e-ISSN
1558-1578
Volume of the periodical
68
Issue of the periodical within the volume
8
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
1746-1753
UT code for WoS article
000687247300030
EID of the result in the Scopus database
2-s2.0-85103875554