Mass composition from 3 EeV to 100 EeV using the depth of the maximum of air-shower profiles estimated with deep learning using surface detector data of the Pierre Auger Observatory
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F24%3A00635906" target="_blank" >RIV/68378271:_____/24:00635906 - isvavai.cz</a>
Result on the web
<a href="https://pos.sissa.it/444/278/pdf" target="_blank" >https://pos.sissa.it/444/278/pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22323/1.444.0278" target="_blank" >10.22323/1.444.0278</a>
Alternative languages
Result language
angličtina
Original language name
Mass composition from 3 EeV to 100 EeV using the depth of the maximum of air-shower profiles estimated with deep learning using surface detector data of the Pierre Auger Observatory
Original language description
We present a new analysis for estimating the depth of the maximum of air-shower profiles, Xmax , to investigate the evolution of the ultra-high-energy cosmic ray mass composition from 3 to 100 EeV. We use a recently developed deep-learning-based technique for the reconstruction of Xmax from the data of the surface detector of the Pierre Auger Observatory. To avoid systematic uncertainties arising from hadronic interaction models in the simulation of surface detector data, we calibrate the new reconstruction technique with observations of the fluorescence detector. Using the novel analysis, we have a 10-fold increase of statistics at E>5 EeV with respect to fluorescence detector data. We are able, for the first time, to study the evolution of the mean and standard deviation of the Xmax distributions up to 100 EeV. We find an excellent agreement with fluorescence observations and confirm the increase of the mean logarithmic mass <lnA> and a decrease of the Xmax fluctuations with energy. The Xmax measurement at the highest --- so far inaccessible --- energies is consistent with a pure mass composition and a mean logarithmic mass of around ∼3 (estimated using the Sibyll 2.3d and the EPOS-LHC hadronic interaction models). Furthermore, with the increase in statistics, we find indications for a structure beyond a constant elongation rate in the evolution of Xmax.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10303 - Particles and field physics
Result continuities
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
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of Science
ISBN
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ISSN
1824-8039
e-ISSN
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Number of pages
13
Pages from-to
278
Publisher name
Sissa Medilab srl
Place of publication
Trieste
Event location
Nagoya
Event date
Jul 26, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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