A new Monte Carlo model of a Cyberknife® system for the precise determination of out-of-field doses

2019 ◽  
Vol 64 (19) ◽  
pp. 195008
Author(s):  
J Colnot ◽  
V Barraux ◽  
C Loiseau ◽  
P Berejny ◽  
A Batalla ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Model ◽  
Precise Determination

scholarly journals Planets and Stellar Activity: Hide and Seek in the CoRoT-7 system

2013 ◽  
Vol 8 (S299) ◽  
pp. 237-240
Author(s):  
R. D. Haywood ◽  
A. C. Cameron ◽  
D. Queloz ◽  
S. C. C. Barros ◽  
M. Deleuil ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Precise Determination ◽  
Photometric Data ◽  
Stellar Activity ◽  
Level Of Activity ◽  
Reliable Detection ◽  
Harmonic Decomposition ◽  
High Level

AbstractSince the discovery of the transiting Super-Earth CoRoT-7b, several investigations have been made of the number and precise masses of planets present in the system, but they all yield different results, owing to the star's high level of activity. Radial velocity (RV) variations induced by stellar activity therefore need to be modelled and removed to allow a reliable detection of all planets in the system. We re-observed CoRoT-7 in January 2012 with both HARPS and the CoRoT satellite, so that we now have the benefit of simultaneous RV and photometric data. We fitted the off-transit variations in the CoRoT lightcurve using a harmonic decomposition similar to that implemented in Queloz et al. (2009). This fit was then used to model the stellar RV contribution, according to the methods described by Aigrain et al. (2011). This model was incorporated into a Monte Carlo Markov Chain in order to make a precise determination of the orbits of CoRoT-7b and CoRoT-7c. We also assess the evidence for the presence of one or two additional planetary companions.

Benchmarking of Monte Carlo model of Siemens Oncor® linear accelerator for 18MV photon beam: Determination of initial electron beam parameters

2020 ◽  
Vol 27 (6) ◽  
pp. 1047-1070
Author(s):  
Milad Najafzadeh ◽  
Mojtaba Hoseini-Ghafarokhi ◽  
Rezgar Shahi Mayn Bolagh ◽  
Mohammad Haghparast ◽  
Shiva Zarifi ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Electron Beam ◽  
Linear Accelerator ◽  
Monte Carlo Model ◽  
Photon Beam ◽  
Initial Electron ◽  
Beam Parameters

A Monte Carlo model for determination of binary diffusion coefficients in gases

2011 ◽  
Vol 230 (14) ◽  
pp. 5716-5721 ◽  
Author(s):  
A. Panarese ◽  
D. Bruno ◽  
G. Colonna ◽  
P. Diomede ◽  
A. Laricchiuta ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Diffusion Coefficients ◽  
Monte Carlo Model ◽  
Binary Diffusion ◽  
Binary Diffusion Coefficients

Sample sizes and confidence intervals associated with a Monte Carlo simulation model possessing a multinomial output

SIMULATION ◽  
1969 ◽  
Vol 12 (2) ◽  
pp. 71-77 ◽  
Author(s):  
Rolland A. Hurtubise
Keyword(s):  
Monte Carlo ◽  
Simulation Model ◽  
Confidence Intervals ◽  
Monte Carlo Model ◽  
The Body ◽  
Sample Sizes ◽  
Theoretical Considerations ◽  
Monte Carlo Simulation Model

A new classification of Monte Carlo digital computer simulations is suggested. The body of this paper centers on the determination of sample sizes and confidence intervals associated with a simulation model which has a multinomially distributed output. A brief description of a 'multinomial' Monte Carlo model is given. The theoretical considerations put forth are then verified on this model.

Neutron Residual Strain Surface Scans - Experimental Results and Monte Carlo Simulations

2013 ◽  
Vol 768-769 ◽  
pp. 52-59 ◽  
Author(s):  
Joana Rebelo Kornmeier ◽  
Jan Šaroun ◽  
Jens Gibmeier ◽  
Michael Hofmann
Keyword(s):  
Monte Carlo ◽  
Surface Region ◽  
Sample Surface ◽  
Peak Shift ◽  
Steel Sample ◽  
Precise Determination ◽  
Near Surface ◽  
Gauge Volume ◽  
Residual Strains

Precise determination of diffraction peak positions is of particular importance for the evaluation of residual strains. Neutrons are commonly used to probe residual strains from material volumes in depths of several millimetres under the sample surface. However, neutron strain analyses are critical for the near surface region. When scanning close to a sample surface, aberration peak shifts arise, which can be of the same order as the peak shifts related to residual strains [1]. Series of Monte Carlo (M.C.) simulations using the software package RESTRAX/SIMRES [2] were carried out to simulate the peak shift as a function of gauge volume depth, monochromator curvature and other instrumental parameters, which can be used to quickly optimise the experimental setup for direct measuring residual strains near the sample surface at an arbitrary surface orientation. The M.C. simulations were compared and agree very well with the experimental data, not only for a stress free steel sample but as well for a deep rolled steel sample, measured at the STRESS-SPEC diffractometer at the research reactor FRM II, Garching (Germany).

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