Reconstruction of muon number of air showers with the surface detector of the Pierre Auger Observatory using neural networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F24%3A00635945" target="_blank" >RIV/68378271:_____/24:00635945 - isvavai.cz</a>
Result on the web
<a href="https://pos.sissa.it/444/318/pdf" target="_blank" >https://pos.sissa.it/444/318/pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22323/1.444.0318" target="_blank" >10.22323/1.444.0318</a>

Result language
angličtina
Original language name
Reconstruction of muon number of air showers with the surface detector of the Pierre Auger Observatory using neural networks
Original language description
To understand the physics of cosmic rays at the highest energies, it is mandatory to have an accurate knowledge of their mass composition. Since the mass of the primary particles cannot be measured directly, we have to rely on the analysis of mass-sensitive observables to gain insights into this composition. A promising observable for this purpose is the number of muons at the ground relative to that of an air shower induced by a proton primary of the same energy and inclination angle, commonly referred to as the relative muon number Rµ.Due to the complexity of shower footprints, the extraction of Rµ from measurements is a challenging task and intractable to solve using analytic approaches. We, therefore, reconstruct Rµ by exploiting the spatial and temporal information of the signals induced by shower particles using neural networks. Using this data-driven approach permits us to tackle this task without the need of modeling the underlying physics and, simultaneously, gives us insights into the feasibility of such an approach.n
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
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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