scholarly journals A large-particle Monte Carlo code for simulating non-linear high-energy processes near compact objects

1995 ◽  
Vol 272 (2) ◽  
pp. 291-307 ◽  
Author(s):  
Boris E. Stern ◽  
Mitchell C. Begelman ◽  
Marek Sikora ◽  
Roland Svensson
Keyword(s):  
Monte Carlo ◽  
Large Particle ◽  
High Energy ◽  
Compact Objects ◽  
Monte Carlo Code ◽  
Non Linear ◽  
Energy Processes

scholarly journals Composition Classification of Ultra-High Energy Cosmic Rays

Entropy ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 998
Author(s):  
Luis Javier Herrera ◽  
Carlos José Todero Peixoto ◽  
Oresti Baños ◽  
Juan Miguel Carceller ◽  
Francisco Carrillo ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Cosmic Rays ◽  
Computational Cost ◽  
Simulated Data ◽  
Ground Level ◽  
High Energy ◽  
Monte Carlo Code ◽  
High Energy Cosmic Rays ◽  
Research Fields ◽  
The Many

The study of cosmic rays remains as one of the most challenging research fields in Physics. From the many questions still open in this area, knowledge of the type of primary for each event remains as one of the most important issues. All of the cosmic rays observatories have been trying to solve this question for at least six decades, but have not yet succeeded. The main obstacle is the impossibility of directly detecting high energy primary events, being necessary to use Monte Carlo models and simulations to characterize generated particles cascades. This work presents the results attained using a simulated dataset that was provided by the Monte Carlo code CORSIKA, which is a simulator of high energy particles interactions with the atmosphere, resulting in a cascade of secondary particles extending for a few kilometers (in diameter) at ground level. Using this simulated data, a set of machine learning classifiers have been designed and trained, and their computational cost and effectiveness compared, when classifying the type of primary under ideal measuring conditions. Additionally, a feature selection algorithm has allowed for identifying the relevance of the considered features. The results confirm the importance of the electromagnetic-muonic component separation from signal data measured for the problem. The obtained results are quite encouraging and open new work lines for future more restrictive simulations.

ON THE JET PRODUCTION SCALE IN e+e− COLLISIONS

2007 ◽  
Vol 16 (10) ◽  
pp. 3386-3394
Author(s):  
CHEN GANG ◽  
YU MEILING ◽  
LIU LIANSHOU
Keyword(s):  
Monte Carlo ◽  
Dynamical Property ◽  
High Energy ◽  
Production Scale ◽  
Jet Production ◽  
Non Linear ◽  
High Energy Collisions ◽  
Dynamical Information ◽  
Production Dynamics

The non-linear dynamical property inside jets produced in high energy collisions are studied using Jetset 7.4 and Herwig 5.9 Monte Carlo generators. A scale, the jet-production scale, is found. The jets produced with this scale are the most consistent with QCD jet-production dynamics and will provide the most reliable dynamical information about their mother-partons.

scholarly journals Simulating neutron transport in long beamlines at a spallation neutron source using Geant4

2020 ◽  
Vol 22 (2-3) ◽  
pp. 183-189
Author(s):  
Douglas D. DiJulio ◽  
Isak Svensson ◽  
Xiao Xiao Cai ◽  
Joakim Cederkall ◽  
Phillip M. Bentley
Keyword(s):  
Monte Carlo ◽  
Neutron Source ◽  
Variance Reduction ◽  
Neutron Transport ◽  
High Energy ◽  
Low Energy ◽  
Deep Penetration ◽  
Monte Carlo Code ◽  
Spallation Neutron Source ◽  
Unique Challenge

The transport of neutrons in long beamlines at spallation neutron sources presents a unique challenge for Monte-Carlo transport calculations. This is due to the need to accurately model the deep-penetration of high-energy neutrons through meters of thick dense shields close to the source and at the same time to model the transport of low- energy neutrons across distances up to around 150 m in length. Typically, such types of calculations may be carried out with MCNP-based codes or alternatively PHITS. However, in recent years there has been an increased interest in the suitability of Geant4 for such types of calculations. Therefore, we have implemented supermirror physics, a neutron chopper module and the duct-source variance reduction technique for low- energy neutron transport from the PHITS Monte-Carlo code into Geant4. In the current work, we present a series of benchmarks of these extensions with the PHITS software, which demonstrates the suitability of Geant4 for simulating long neutron beamlines at a spallation neutron source, such as the European Spallation Source, currently under construction in Lund, Sweden.

Comparison of mass attenuation coefficients of concretes using FLUKA, XCOM and experiment results

2018 ◽  
Vol 53 (2) ◽  
pp. 145-148 ◽  
Author(s):  
V.P. Singh ◽  
T. Korkut ◽  
N.M. Badiger
Keyword(s):  
Monte Carlo ◽  
Gamma Ray ◽  
High Energy ◽  
Steel Scrap ◽  
Linear Attenuation Coefficient ◽  
Monte Carlo Code ◽  
Attenuation Coefficients ◽  
Energy Gamma ◽  
Mass Attenuation Coefficients ◽  
Mass Attenuation

The mass attenuation coefficients of seven different types of normal and heavy concretes like ordinary, hematite-serpentine, ilmenite-limonite, basalt-magnetite, ilmenite, steel-scrap and steel-magnetite concretes has been simulated using FLUKA Monte Carlo code at high energies 1.5, 2, 3, 4, 5 and 6 MeV. The mass attenuation coefficients and linear attenuation coefficient of the concretes were found dependent upon the chemical composition, density and gamma ray energy. FLUKA Monte Carlo code results were found in good agreement with experimental and theoretical XCOM data. Our investigations for high energy gamma-ray interaction validate the FLUKA Monte Carlo code for use where experimental gamma-ray interaction results are not available.

scholarly journals Single Event Effect cross section calibration and application to quasi-monoenergetic and spallation facilities

2018 ◽  
Vol 4 ◽  
pp. 1
Author(s):  
Rubén García Alía ◽  
Stefano Bonaldo ◽  
Markus Brugger ◽  
Salvatore Danzeca ◽  
Alfredo Ferrari ◽  
...  
Keyword(s):  
Monte Carlo ◽  
High Energy ◽  
Test Facility ◽  
Monte Carlo Code ◽  
Single Event ◽  
Single Event Effect ◽  
Monitoring Applications ◽  
Field Response ◽  
Broad Variety ◽  
Mixed Field

We describe an approach to calibrate Single Event Effect (SEE)-based detectors in monoenergetic fields and apply the resulting semi-empiric responses to more general mixed-field cases in which a broad variety of particle species and energy spectra are present. The calibration of the response functions is based both on experimental proton (30–200 MeV) and neutron (5–300 MeV) data and considerations derived from Monte Carlo simulations using the FLUKA Monte Carlo code. The application environments include the quasi-monoenergetic neutrons at RCNP, the atmospheric-like VESUVIO spallation spectrum and the CHARM high-energy accelerator test facility. The agreement between the mixed-field response and that predicted through the mono-energetic calibration is within ±30% for the broad variety of cases considered and thus regarded as highly successful for mixed-field monitoring applications.

MULTIPLICITY DISTRIBUTIONS OF TARGET FRAGMENTS IN 60 AGeV16O-EMULSION INTERACTIONS

1996 ◽  
Vol 05 (04) ◽  
pp. 617-630 ◽  
Author(s):  
M. EL-NADI ◽  
N. METTWALLI ◽  
E.A. SHAAT ◽  
A. HUSSIEN ◽  
Z. ABOU-MOUSSA ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Energy Range ◽  
Nuclear Emulsion ◽  
High Energy ◽  
Monte Carlo Code ◽  
Central Collisions ◽  
High Energy Collisions ◽  
Multiplicity Distributions ◽  
Limiting Fragmentation

The results of the interactions of 60 AGeV 16 O in nuclear emulsion are studied and compared with those previously obtained for the same projectile at different energies where it was found that within the energy range from 2.1 up to 200 AGeV, the probability for central collisions of 16 O with emulsion nuclei as well as the percentage of events having projectile fragments (PFs) of charge Z≥3 are nearly constant. Multiplicity distributions of different charged secondaries are compared with the predictions of the Monte Carlo Code VENUS which takes into account the intranuclear cascading. The correlations between the various parameters are discussed. The data on shower and grey produced particles are well described by VENUS, however the black track data show a significant departure from this model. The study of heavy track data confirms the limiting fragmentation behaviour in high energy collisions. The multiplicity distributions of different charged secondaries are also compared with those obtained using different projectiles at nearly the same energy.

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