Extraction of the muon signals recorded with the surface detector of the Pierre Auger Observatory using recurrent neural networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F22%3A00564677" target="_blank" >RIV/68378271:_____/22:00564677 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15310/22:73616686
Result on the web
<a href="https://pos.sissa.it/395/229/pdf" target="_blank" >https://pos.sissa.it/395/229/pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22323/1.395.0229" target="_blank" >10.22323/1.395.0229</a>

Result language
angličtina
Original language name
Extraction of the muon signals recorded with the surface detector of the Pierre Auger Observatory using recurrent neural networks
Original language description
We present a method based on the use of Recurrent Neural Networks to extract the muon component from the time traces registered with water-Cherenkov detector (WCD) stations of the Surface Detector of the Pierre Auger Observatory. The design of the WCDs does not allow to separate the contribution of muons to the time traces obtained from the WCDs from those of photons, electrons and positrons for all events. Separating the muon and electromagnetic components is crucial for the determination of the nature of the primary cosmic rays and properties of the hadronic interactions at ultra-high energies.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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