Analysis of the electron and muon components of extensive air showers at an observation level of 700 g cm-2with the help of a scale breaking interaction model

1985 ◽  
Vol 11 (12) ◽  
pp. 1377-1386 ◽  
Author(s):  
J Procureur ◽  
J N Stamenov ◽  
P V Stavrev ◽  
S Z Ushev
2019 ◽  
Vol 208 ◽  
pp. 11002 ◽  
Author(s):  
Felix Riehn ◽  
Ralph Engel ◽  
Anatoli Fedynitch ◽  
Thomas K. Gaisser ◽  
Todor Stanev

One of the applications of the hadronic interaction model Sibyll is the simulation of extensive air showers of ultra-high energy cosmic rays. In recent years it has become more and more clear that simulations do not agree with measurements when it comes to observables related to muons in air showers. We discuss the processes in Sibyll that are directly related to muon production in extensive air showers and describe their relation to shower observables.


2020 ◽  
Vol 102 (6) ◽  
Author(s):  
Felix Riehn ◽  
Ralph Engel ◽  
Anatoli Fedynitch ◽  
Thomas K. Gaisser ◽  
Todor Stanev

2001 ◽  
Vol 01 (03) ◽  
pp. L117-L124 ◽  
Author(s):  
E. FALEIRO ◽  
J. M. G. GÓMEZ

As was pointed out in some recent papers, the fluctuations in the secondary particle distribution of extensive air showers at observation level exhibit a complex structure which can be interpreted as a white noise plus a 1/f noise. The resulting coloured noise fits very well into the framework of the universal multitractal theory. In this paper we compare the e+ and e- density fluctuations generated by different primary cosmic rays, namely, high energy γ rays, protons, and helium, oxygen and iron nuclei, and the universal multifractal parameters for all these primaries are calculated for several samples. The performed analysis reveals that the Levy index and the mean codimension depend monotonically on the mass of the primary cosmic ray. Some future applications of the multifractal properties of extensive air showers are suggested.


2010 ◽  
Vol 16 (3) ◽  
pp. 3-14 ◽  
Author(s):  
V.M. Kartashev ◽  
◽  
P.S. Kizim ◽  
V.E. Kovtun ◽  
S.N. Stervoiedov ◽  
...  

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