scholarly journals Air shower simulation for background estimation in muon tomography of volcanoes

2012 ◽  
Vol 2 (2) ◽  
pp. 563-574 ◽  
Author(s):  
S. Béné
Keyword(s):  
Monte Carlo ◽  
Spatial Distribution ◽  
Energy Spectrum ◽  
Monte Carlo Simulations ◽  
Arrival Time ◽  
Air Showers ◽  
Background Estimation ◽  
Air Shower ◽  
Muon Tomography ◽  
Good Agreement

Abstract. One of the main sources of background for the radiography of volcanoes with atmospheric muons comes from the accidental coincidences produced in the muon telescopes by the air showers. In order to quantify this background, Monte-Carlo simulations of the showers and of the detector are developed by the Tomuvol collaboration. As a first step, the atmospheric showers were simulated and investigated using two Monte-Carlo packages, CORSIKA and GEANT4. We compared the results provided by the two programs for the muonic component of vertical proton-induced showers at three energies: 1, 10 and 100 TeV. We found that the spatial distribution and energy spectrum of the muons were in good agreement for the two codes, while significant differences were observed for the arrival time of the muons.

scholarly journals Air shower simulation for background estimation in muon tomography of volcanoes

2013 ◽  
Vol 2 (1) ◽  
pp. 11-15 ◽  
Author(s):  
S. Béné ◽  
P. Boivin ◽  
E. Busato ◽  
C. Cârloganu ◽  
C. Combaret ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Spatial Distribution ◽  
Energy Spectrum ◽  
Charged Particles ◽  
Cosmic Ray ◽  
Background Estimation ◽  
Air Shower ◽  
Muon Tomography ◽  
Background Effect ◽  
Good Agreement

Abstract. One of the main sources of background for the radiography of volcanoes using atmospheric muons comes from the accidental coincidences produced in the muon telescopes by charged particles belonging to the air shower generated by the primary cosmic ray. In order to quantify this background effect, Monte Carlo simulations of the showers and of the detector are developed by the TOMUVOL collaboration. As a first step, the atmospheric showers were simulated and investigated using two Monte Carlo packages, CORSIKA and GEANT4. We compared the results provided by the two programs for the muonic component of vertical proton-induced showers at three energies: 1, 10 and 100 TeV. We found that the spatial distribution and energy spectrum of the muons were in good agreement for the two codes.

Der Einfluß der Primärmasse auf die Struktur großer Luftschauer

1970 ◽  
Vol 25 (8-9) ◽  
pp. 1254-1258
Author(s):  
K. O. Thielheim
Keyword(s):  
Monte Carlo ◽  
Energy Spectrum ◽  
Monte Carlo Simulations ◽  
Total Energy ◽  
Electron Density ◽  
Empirical Data ◽  
Extensive Air Shower ◽  
Air Shower ◽  
Primary Mass ◽  
Shower Development

Abstract Results of Monte Carlo Simulations of Extensive Air Shower Development are discussed with respect to the influence of primary mass on shower characteristics (energy spectrum and lateral distribution of hadrons, frequency of nuclear active "multicores", mean total energy of hadrons, fluctuation of total hadron energy, mean total number of myons, fluctuation of total myon number, mean central electron density, frequency of electromagnetic "multicores"). Critical comments are presented concerning some empirical data.

scholarly journals MONTE CARLO SIMULATIONS OF RADIO EMISSION FROM COSMIC RAY AIR SHOWERS

2006 ◽  
Vol 21 (supp01) ◽  
pp. 60-64
Author(s):  
T. HUEGE ◽  
H. FALCKE
Keyword(s):  
Monte Carlo ◽  
Radio Emission ◽  
Monte Carlo Simulations ◽  
Primary Particle ◽  
Radio Signal ◽  
Cosmic Ray ◽  
Particle Energy ◽  
Air Showers ◽  
Air Shower ◽  
Shower Maximum

As a basis for the interpretation of data gathered by LOPES and other experiments, we have carried out Monte Carlo simulations of geosynchrotron radio emission from cosmic ray air showers. The simulations, having been verified carefully with analytical calculations, reveal a wealth of information on the characteristics of the radio signal and their dependence on specific air shower parameters. In this article, we review the spatial characteristics of the radio emission, its predicted frequency spectrum and its dependence on important air shower parameters such as the shower zenith angle, the primary particle energy and the depth of the shower maximum, which can in turn be related to the nature of the primary particle.

scholarly journals Universal dependence of the total number albedo of photons on the mean number of photon scatterings

2011 ◽  
Vol 26 (3) ◽  
pp. 249-253 ◽  
Author(s):  
Vladan Ljubenov ◽  
Rodoljub Simovic
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Analytic Functions ◽  
Least Squares Method ◽  
Mcnp Code ◽  
Initial Photon ◽  
Aluminum Iron ◽  
Universal Dependence ◽  
The Mean ◽  
Good Agreement

This paper presents the results of research on photon reflection from plane targets based on Monte Carlo simulations performed by the MCNP code. Five materials (water, concrete, aluminum, iron, and copper) are examined in the area of initial photon energies of up to 200 keV. The values of the total number albedo for photons dependent on the initial photon energy or the mean number of photon scatterings are calculated and graphically presented. We have shown that the values of the total number albedo for different target materials, expressed as a function of the mean number of photon scatterings, are in good agreement with each other and can be approximated by simple, universal analytic functions obtained by the least squares method. The accuracy of these analytic appoximations is confirmed by their comparison with the results of PENELOPE and FOTELP Monte Carlo codes.

scholarly journals Monte Carlo simulations of two-component drop growth by stochastic coalescence

2008 ◽  
Vol 8 (2) ◽  
pp. 7289-7313 ◽  
Author(s):  
L. Alfonso ◽  
G. B. Raga ◽  
D. Baumgardner
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Stochastic Algorithm ◽  
Aerosol Composition ◽  
Particle Charging ◽  
Two Component ◽  
Different Types ◽  
Framework Species ◽  
Stochastic Coalescence ◽  
Good Agreement

Abstract. The evolution of two-dimensional drop distributions is simulated in this study using a Monte Carlo method.~The stochastic algorithm of Gillespie (1976) for chemical reactions in the formulation proposed by Laurenzi et al. (2002) was used to simulate the kinetic behavior of the drop population. Within this framework species are defined as droplets of specific size and aerosol composition. The performance of the algorithm was checked by comparing the numerical with the analytical solutions found by Lushnikov (1975). Very good agreement was observed between the Monte Carlo simulations and the analytical solution. Simulation results are presented for bi-variate constant and hydrodynamic kernels. The algorithm can be easily extended to incorporate various properties of clouds such as including several crystal habits, different types of soluble CCN, particle charging and drop breakup.

Non-Equilibrium Critical Relaxation of Heisenberg Ferromagnets with Long-Range Correlated Defects

2012 ◽  
Vol 190 ◽  
pp. 39-42
Author(s):  
M. Medvedeva ◽  
Pavel V. Prudnikov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Critical Behavior ◽  
Critical Exponents ◽  
Heisenberg Model ◽  
Three Dimensional ◽  
Initial State ◽  
Short Time ◽  
Theoretic Description ◽  
Good Agreement

The dynamic critical behavior of the three-dimensional Heisenberg model with longrangecorrelated disorder was studied by using short-time Monte Carlo simulations at criticality.The static and dynamic critical exponents are determined. The simulation was performed fromordered initial state. The obtained values of the exponents are in a good agreement with resultsof the field-theoretic description of the critical behavior of this model in the two-loopapproximation.

SIMULATION OF RADIO SIGNALS FROM 1-10 TeV AIR SHOWERS USING EGSNRC

2006 ◽  
Vol 21 (supp01) ◽  
pp. 65-69 ◽  
Author(s):  
R. Engel ◽  
N. N. Kalmykov ◽  
A. A. Konstantinov
Keyword(s):  
Monte Carlo ◽  
Radio Emission ◽  
Monte Carlo Simulations ◽  
Frequency Spectrum ◽  
Radial Dependence ◽  
Frequency Range ◽  
Air Showers ◽  
Shower Development ◽  
Radio Signals ◽  
The Individual

Cherenkov and geosynchrotron radiation are considered as two fundamental mechanisms of the radio emission generated by extensive air showers (EAS). The code EGSnrc is used for Monte-Carlo simulations of the individual shower development. Calculations of the radial dependence and frequency spectrum of the emitted radiation are performed for the LOPES experiment frequency range.

scholarly journals Puzzle of muons in extensive air showers

2019 ◽  
Vol 28 (08) ◽  
pp. 1950097
Author(s):  
Maciej Rybczyński ◽  
Zbigniew Włodarczyk
Keyword(s):  
Monte Carlo ◽  
Cosmic Rays ◽  
Monte Carlo Simulations ◽  
Quark Matter ◽  
Strange Quark ◽  
Strange Quark Matter ◽  
Pierre Auger Observatory ◽  
Air Showers ◽  
Hadronic Interaction ◽  
Interaction Models

In order to examine a muon excess observed by the Pierre Auger Observatory, detailed Monte Carlo simulations were carried out for primary protons, iron nuclei and strangelets (hypothetical stable lumps of strange quark matter). We obtained a rough agreement between the simulations and the data for ordinary nuclei without any contribution of strangelets in primary flux of cosmic rays. Our simulations suggest that the shower observables are dominated by details of hadronic interaction models.

On the Estimation of the Kurtosis in Directional Sea States for Freak Wave Forecasting

2011 ◽  
Vol 41 (8) ◽  
pp. 1484-1497 ◽  
Author(s):  
Nobuhito Mori ◽  
Miguel Onorato ◽  
Peter A. E. M. Janssen
Keyword(s):  
Monte Carlo ◽  
Energy Distribution ◽  
Monte Carlo Simulations ◽  
Initial Conditions ◽  
Laboratory Data ◽  
Dispersion Effect ◽  
Freak Wave ◽  
Wave Forecasting ◽  
Directional Sea States ◽  
Good Agreement

Abstract Based on Monte Carlo simulations of the nonlinear Schrödinger equation in two horizontal dimensions, the dependence of the kurtosis on the directional energy distribution of the initial conditions is examined. The parametric survey is carried out to obtain the behavior of the kurtosis as function of the Benjamin–Feir index and directional spread in directional sea states. As directional dispersion effect becomes significant, the kurtosis monotonically decreases in comparison with the unidirectional waves. A parameterization of the kurtosis estimated from directional spectra is proposed here; the error of the parameterization is at most 10%. The parameterization is verified against laboratory data, and good agreement is obtained.

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