activity
19992005
most citedNeural Networks as a Composition Diagnostic for Ultra-high Energy Cosmic Rays

4 citations · 5 across the 7 of their papers we have counts for

collaborators

8 papers

astro-ph2005

Analysis of extensive air showers with the hybrid code SENECA

Jeferson A. Ortiz, Vitor de Souza, Gustavo Medina-Tanco

The ultrahigh energy tail of the cosmic ray spectrum has been explored with unprecedented detail. For this reason, new experiments are exerting a severe pressure on extensive air s…

astro-ph2005

Analysis of shower size as estimator of extensive air shower energy

Vitor de Souza, Jeferson A. Ortiz, Gustavo Medina-Tanco +1

The fluorescence technique has been successfully used to detect ultrahigh energy cosmic rays by indirect measurements. The underlying idea is that the number of charged particles i…

astro-ph20051 cited

Alternative energy estimation from the shower lateral distribution function

Vitor de Souza, Carlos O. Escobar, Joel Brito +2

The surface detector technique has been successfully used to detect cosmic ray showers for several decades. Scintillators or Cerenkov water tanks can be used to measure the number…

astro-ph2005

Acceptance of fluorescence detectors for photons and its implication in energy spectrum inference at the highest energies

Vitor de Souza, Gustavo Medina-Tanco, Jeferson A. Ortiz

The HiRes and AGASA Collaborations have published contradictory energy spectra for energies above the GZK cut-off. In this article, we investigate the acceptance of fluorescence te…

astro-ph2005

Lateral width of shower image in the Auger fluorescence detector

H. Barbosa, V. de Souza, C. Dobrigkeit +11

The impact of the lateral distribution of light in extensive air showers on the detection and reconstruction of shower profiles is investigated for the Auger fluorescence telescope…

astro-ph20054 cited

Neural Networks as a Composition Diagnostic for Ultra-high Energy Cosmic Rays

Andre K. O. Tiba, Gustavo A. Medina-Tanco, Sergio J. Sciutto

We analyze here the possibility of studying mass composition in the Auger data sample using neural networks as a diagnostic tool. Extensive air showers were simulated using the AIR…