2000
DOI: 10.1103/physrevlett.84.4276
|View full text |Cite
|
Sign up to set email alerts
|

Evidence for Changing of Cosmic Ray Composition between1017and1018eV from Multicomponent Measurements

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

13
106
1

Year Published

2004
2004
2018
2018

Publication Types

Select...
4
4
2

Relationship

1
9

Authors

Journals

citations
Cited by 195 publications
(120 citation statements)
references
References 11 publications
13
106
1
Order By: Relevance
“…From these lateral distributions, the muon density at 600 m is determined as a function of energy and compared in Fig. 14 higher energy from Hi-Res-MIA [19] in Fig. 14.…”
Section: Surface Muonsmentioning
confidence: 99%
“…From these lateral distributions, the muon density at 600 m is determined as a function of energy and compared in Fig. 14 higher energy from Hi-Res-MIA [19] in Fig. 14.…”
Section: Surface Muonsmentioning
confidence: 99%
“…We use the extragalactic propagation model of Berezinsky, Gazizov, and Grigorieva [27], modified to take account of discrete energy losses of protons as in the paper by Blanton, Blasi and Olinto [28], and assume that protons come from sources distributed uniformly following the expansion of the universe, and lose energy by pion and e + e − production from the cosmic microwave background radiation, as well as from the expansion of the universe. Since the measured composition [29,30] changes from heavy to light within our energy range, we approximate the galactic component of cosmic rays as being the fraction of iron. We take this fraction to be 55% at 10 17 eV, decreasing linearly with log E to 20% at 10 17 eV, then decreasing to zero at 10 20 eV.…”
Section: Discussionmentioning
confidence: 99%
“…At the time of writing of this proceeding, none of the available hadronic generator models is able to comprehensively describe the high energy cosmic ray experimental observations at the ultra high energy range [12,13]. Tuning to accelerator data should lead to convergence of the model predictions.…”
Section: Introductionmentioning
confidence: 99%