scholarly journals The impact of surface morphology on the erosion of metallic surfaces – Modelling with the 3D Monte-Carlo code ERO2.0

2021 ◽  
Vol 27 ◽  
pp. 100987 ◽  
Author(s):  
A. Eksaeva ◽  
D. Borodin ◽  
J. Romazanov ◽  
A. Kirschner ◽  
A. Kreter ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Surface Morphology ◽  
Monte Carlo Code ◽  
Metallic Surfaces ◽  
3D Monte Carlo ◽  
The Impact

scholarly journals Towards muon-electron scattering at NNLO

2020 ◽  
Vol 2020 (11) ◽  
Author(s):  
Carlo M. Carloni Calame ◽  
Mauro Chiesa ◽  
Syed Mehedi Hasan ◽  
Guido Montagna ◽  
Oreste Nicrosini ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Electron Scattering ◽  
Photon Radiation ◽  
Monte Carlo Code ◽  
Radiative Corrections ◽  
Small Momentum Transfer ◽  
Simulation Code ◽  
Theoretical Formulation ◽  
Loop Contribution ◽  
The Impact

Abstract The recently proposed MUonE experiment at CERN aims at providing a novel determination of the leading order hadronic contribution to the muon anomalous magnetic moment through the study of elastic muon-electron scattering at relatively small momentum transfer. The anticipated accuracy of the order of 10ppm demands for high-precision predictions, including all the relevant radiative corrections. The theoretical formulation for the fixed-order NNLO photonic radiative corrections is described and the impact of the numerical results obtained with the corresponding Monte Carlo code is discussed for typical event selections of the MUonE experiment. In particular, the gauge-invariant subsets of corrections due to electron radiation as well as to muon radiation are treated exactly. The two-loop contribution due to diagrams where at least two virtual photons connect the electron and muon lines is approximated taking inspiration from the classical Yennie-Frautschi-Suura approach. The calculation and its Monte Carlo implementation pave the way towards the realization of a simulation code incorporating the full set of NNLO corrections matched to multiple photon radiation, that will be ultimately needed for data analysis.

scholarly journals The impact of aerosols on polarized sky radiance: model development, validation, and applications

2009 ◽  
Vol 9 (4) ◽  
pp. 17753-17791 ◽  
Author(s):  
C. Emde ◽  
R. Buras ◽  
B. Mayer ◽  
M. Blumthaler
Keyword(s):  
Monte Carlo ◽  
Polarization State ◽  
Model Development ◽  
Wavelength Region ◽  
High Sensitivity ◽  
Radiative Transfer Model ◽  
Degree Of Polarization ◽  
Transfer Model ◽  
Monte Carlo Code ◽  
The Impact

Abstract. Although solar radiation initially is unpolarized when entering the Earth's atmosphere, it is polarized by scattering processes with molecules, water droplets, ice crystals, and aerosols. Hence, measurements of the polarization state of radiation can be used to improve remote sensing of aerosols and clouds. The analysis of polarized radiance measurements requires an accurate radiative transfer model. To this end, a new efficient and flexible three-dimensional Monte Carlo code to compute polarized radiances has been developed and implemented into MYSTIC (Monte Carlo code for the phYSically correct Tracing of photons In Cloudy atmospheres). Unlike discrete ordinate methods the Monte Carlo approach allows to handle the scattering phase matrices of aerosol and cloud particles accurately, i.e. without any approximations except the inherent statistical noise. The study presented in this paper shows that this is important, especially in order to simulate scattering by aerosols and cloud droplets in the ultraviolet wavelength region. The commonly used Delta-M approximation may cause large errors not only in the calculated intensity but also in the degree of polarization. The polarized downwelling radiation field is calculated for various aerosol types showing the high sensitivity of polarized ultraviolet radiances to the particle microphysics. Model simulations are compared to ground based measurements and found to be generally in good agreement. This comparison shows that there is a high potential to retrieve information about the aerosol type from polarized radiance measurements.

Modeling of tungsten transport in the linear plasma device PSI-2 with the 3D Monte-Carlo code ERO

2015 ◽  
Vol 463 ◽  
pp. 268-271 ◽  
Author(s):  
E. Marenkov ◽  
A. Eksaeva ◽  
D. Borodin ◽  
A. Kirschner ◽  
M. Laengner ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Code ◽  
Plasma Device ◽  
3D Monte Carlo ◽  
Linear Plasma

scholarly journals Determination of Position Resolution for LYSO Scintillation Crystals Using Geant4 Monte Carlo Code

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
M. F. O. Yahya ◽  
F. Kocak
Keyword(s):  
Monte Carlo ◽  
Light Yield ◽  
Electromagnetic Calorimeter ◽  
Monte Carlo Code ◽  
Position Resolution ◽  
Scintillation Crystals ◽  
Simulation Based ◽  
High Light Yield ◽  
Center Particle ◽  
The Impact

LYSO scintillation crystals, due to their significant characteristics such as high light yield, fast decay time, small Moliére radius, and good radiation hardness, are proposed to be used for the electromagnetic calorimeter section of the Turkish Accelerator Center Particle Factory (TAC-PF) detector. In this work, the center of gravity technique was used to determine the impact coordinates of an electron initiating an electromagnetic shower in a LYSO array, in a calorimeter module containing nine crystals, each 25   mm × 25   mm in cross-section and 200 mm in length. The response of the calorimeter module has been studied with electrons having energies in the range 0.1 GeV-2 GeV. By using the Monte Carlo simulation based on Geant4, the two-dimensional position resolution of the module is obtained as σ R mm = 3.95 ± 0.08 / E ⊕ 1.91 ± 0.11 at the center of the crystal.

scholarly journals APPLICATION OF CALCULATED MSM FACTORS USING TRIPOLI4® SEQUENCE ON BORON LINED PROPORTIONAL COUNTER ROD WORTH MEASUREMENT

2021 ◽  
Vol 247 ◽  
pp. 02024
Author(s):  
J. Couybes ◽  
S. Nicolas ◽  
L. Chabert ◽  
L. Manifacier ◽  
T. Barbosa ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Previous Method ◽  
Point Of View ◽  
Fine Tuning ◽  
Monte Carlo Code ◽  
Kinetics Parameters ◽  
Optimal Position ◽  
High Performing ◽  
Experimental Values ◽  
The Impact

The topic addressed deals with the determination of adjoint parameters for instrumentation relevance. This is a crucial subject for comprehension of subcritical levels in the frame of safety analysis. Indeed, such states require interpretation and raw data cannot be processed as such. To do so, the transcription of core reactivity through instrumentation located in the reactor periphery is considered with the use of MSM factors [1],[2]. We implement this method inside a TRIPOLI4® [3] sequence in order to establish predictive mapping of MSM factors and figure out optimal position for instrumentation location at the beginning of reactor operations. Firstly, MSM factors are introduced, along with the designer point of view for geometry construction based on ROOT package [4]. At this point, the methodology of TRIPOLI4® calculation is explained in detail, including the sequencing associated to and how the Green Functions are performed within TRIPOLI4®. In this second part and within the verification framework, the previous method is extended to a “fictitious core” developed in TechnicAtome for Monte Carlo [5] calculation and for different core pattern loadings. After the completion of these numerical validations gained on a High Performing Cluster, the method is then expanded to critical mock up [6] and challenged to recent experimental results for validation. The comparisons end up with a good agreement between predictive calculation and experimental values of reactivity worth. Finally the document ends with a mid-term projection for outlooks and improvements, for ensuring an enhancement of the safety approach. Several items are discussed especially, fine tuning for the spatial meshing (regarding instrumentation size) and the impact on TRIPOLI4® Monte Carlo code with the development of new features. Then, the authors focus on sensitivity effect concerning delayed neutron spectrum and kinetics parameters. As a conclusion, this paper proposes to validate the method exposed in the near future, using experimental data coming from many years of critical mock up operations.

Modelling of chemical erosion mitigation experiments at PISCES-B using the 3D Monte-Carlo code ERO

2007 ◽  
Vol T128 ◽  
pp. 127-132 ◽  
Author(s):  
D Borodin ◽  
A Kirschner ◽  
S Droste ◽  
R Doerner ◽  
D Nishijima ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Code ◽  
Chemical Erosion ◽  
3D Monte Carlo ◽  
Erosion Mitigation

EFFECT OF MULTI-DESIGN SKIN MODEL AND CHARACTERISTIC ON MONTE CARLO SIMULATION OF LIGHT-SKIN DIFFUSE REFLECTANCE SPECTRA

2016 ◽  
Vol 78 (9) ◽  
Author(s):  
Muhammad Nur Salihin Yusoff ◽  
Mohamad Suhaimi Jaafar
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Diffuse Reflectance ◽  
Reflectance Spectra ◽  
Processing Unit ◽  
Monte Carlo Code ◽  
Skin Model ◽  
Diffuse Reflectance Spectra ◽  
Light Skin ◽  
The Impact

This study was carried out to analyze the impact of four skin models and three skin characteristics on Monte Carlo simulation of light-skin diffuse reflectance spectra. The simulation was performed using graphic processing unit (GPU)-based Monte Carlo code (CUDAMCML). The computation platform was a laptop with 2.3 GHz processor (Intel Core i5-2410M) and supported by NVIDIA’s Compute Unified Device Architecture (CUDA) graphic card (GeForce GT 520M). This analysis showed the importance of taking into account the depth distribution of melanin in designing a multi-layered skin model. Addition of complexity to the model caused only less than two minutes increment of computation time. Increase of melanin concentration reduced the values of diffuse reflectance over the spectrum while the profile of ‘W’ curve became less-defined. Increase of blood concentration also decreased the values of diffuse reflectance (particularly at wavelengths < 600 nm) but the profile of ‘W’ curve became more-defined. Increase of epidermal and dermal thicknesses influenced the diffuse reflectance spectra but not for subcutaneous fat thickness.  

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