Signal-background separation and energy reconstruction of gamma rays using pattern spectra and convolutional neural networks for the Small-Sized Telescopes of the Cherenkov Telescope Array
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A90247%2F24%3A00604760" target="_blank" >RIV/68378271:90247/24:00604760 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.nima.2023.168942" target="_blank" >https://doi.org/10.1016/j.nima.2023.168942</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.nima.2023.168942" target="_blank" >10.1016/j.nima.2023.168942</a>
Alternative languages
Result language
angličtina
Original language name
Signal-background separation and energy reconstruction of gamma rays using pattern spectra and convolutional neural networks for the Small-Sized Telescopes of the Cherenkov Telescope Array
Original language description
Imaging Atmospheric Cherenkov Telescopes (IACTs) detect very-high-energy gamma rays from ground level by capturing the Cherenkov light of the induced particle showers. Convolutional neural networks (CNNs) can be trained on IACT camera images of such events to differentiate the signal from the background and to reconstruct the energy of the initial gamma ray. Pattern spectra provide a 2-dimensional histogram of the sizes and shapes of features comprising an image and they can be used as an input for a CNN to significantly reduce the computational power required to train it. In this work, we generate pattern spectra from simulated gamma-ray and proton images to train a CNN for signal-background separation and energy reconstruction for the Small-Sized Telescopes (SSTs) of the Cherenkov Telescope Array (CTA).
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
10303 - Particles and field physics
Result continuities
Project
—
Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Nuclear Instruments & Methods in Physics Research Section A
ISSN
0168-9002
e-ISSN
1872-9576
Volume of the periodical
1059
Issue of the periodical within the volume
Feb
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
10
Pages from-to
168942
UT code for WoS article
001128192000001
EID of the result in the Scopus database
2-s2.0-85178488947