Neutron shielding calculations in a proton therapy facility based on Monte Carlo simulations and analytical models: criterion for selecting the method of choice

AbstractMeasurement of the energy spectrum of secondary neutrons were carried out at the OncoRay Proton Therapy facility in Dresden, following an approach originating in neutron metrology which is well suited for both the characterization of secondary neutron fields at proton therapy facilities and the validation of Monte Carlo simulations. For the experiment, a brass target was placed in the proton beam and Bonner spheres measurements were made at a distance of 2 m from the target and at different angles, 15° to 120°, with respect to the incoming proton beam. The measured spectra were compared to Monte Carlo simulations.

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The radiation fields around a proton therapy facility: A comparison of Monte Carlo simulations

Radiation Physics and Chemistry ◽

10.1016/j.radphyschem.2013.01.014 ◽

2014 ◽

Vol 95 ◽

pp. 236-239 ◽

Cited By ~ 4

Author(s):

G. Ottaviano ◽

L. Picardi ◽

M. Pillon ◽

C. Ronsivalle ◽

S. Sandri

Keyword(s):

Monte Carlo ◽

Monte Carlo Simulations ◽

Proton Therapy ◽

Radiation Fields ◽

Proton Therapy Facility

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Substitution Rates Under Stabilizing Selection

Genetics ◽

10.1093/genetics/116.3.479 ◽

1987 ◽

Vol 116 (3) ◽

pp. 479-486

Author(s):

Alan Hastings

Keyword(s):

Monte Carlo ◽

Monte Carlo Simulations ◽

Quantitative Traits ◽

Strong Dependence ◽

Phenotypic Selection ◽

Analytical Models ◽

Stabilizing Selection ◽

Substitution Rates ◽

Quantitative Characters ◽

Selection For

ABSTRACT Allelic substitutions under stabilizing phenotypic selection on quantitative traits are studied in Monte Carlo simulations of 8 and 16 loci. The results are compared and contrasted to analytical models based on work of M. Kimura for two and "infinite" loci. Selection strengths of S = 4Nes approximately four (which correspond to reasonable strengths of selection for quantitative characters) can retard substitution rates tenfold relative to rates under neutrality. An important finding is a strong dependence of per locus substitution rates on the number of loci.

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Monte Carlo simulations of neutron spectral fluence, radiation weighting factor and ambient dose equivalent for a passively scattered proton therapy unit

Physics in Medicine and Biology ◽

10.1088/0031-9155/53/1/013 ◽

2007 ◽

Vol 53 (1) ◽

pp. 187-201 ◽

Cited By ~ 49

Author(s):

Yuanshui Zheng ◽

Jonas Fontenot ◽

Phil Taddei ◽

Dragan Mirkovic ◽

Wayne Newhauser

Keyword(s):

Monte Carlo ◽

Monte Carlo Simulations ◽

Proton Therapy ◽

Weighting Factor ◽

Dose Equivalent ◽

Scattered Proton ◽

Ambient Dose Equivalent ◽

Ambient Dose

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Platform for automatic patient quality assurance via Monte Carlo simulations in proton therapy

Physica Medica ◽

10.1016/j.ejmp.2019.12.018 ◽

2020 ◽

Vol 70 ◽

pp. 49-57 ◽

Cited By ~ 5

Author(s):

G. Guterres Marmitt ◽

A. Pin ◽

K. Ng Wei Siang ◽

G. Janssens ◽

K. Souris ◽

...

Keyword(s):

Monte Carlo ◽

Quality Assurance ◽

Monte Carlo Simulations ◽

Proton Therapy

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Assessing the Economic Risk of Building Damage due to the Tunneling-Induced Settlement Using Monte Carlo Simulations and BIM

Sustainability ◽

10.3390/su122310034 ◽

2020 ◽

Vol 12 (23) ◽

pp. 10034

Author(s):

Stylianos Providakis ◽

Chris D. F. Rogers ◽

David N. Chapman

Keyword(s):

Decision Making ◽

Monte Carlo ◽

Monte Carlo Simulations ◽

Assessment Method ◽

Building Damage ◽

Analytical Models ◽

Integrated Analysis ◽

Economic Damage ◽

Economic Risk ◽

Advanced Analysis

Due to the increasing use of underground space to align with sustainability needs, geohazard risk assessments have become a valuable tool for decision-making. One common issue in relation to urban geohazard assessments relates to ground movements due to tunneling affecting adjacent buildings. A framework for assessing costs related to subsequent building damage, using integrated data, statistics and considering the uncertainties involved, is presented in this paper. The proposed methodology provides an integration of Monte Carlo simulations to support uncertainty estimations with an analysis for building-damage cost risk due to tunneling-induced settlements. The analysis involves analytical models using green-field conditions and a typically used building damage assessment method. BIM is capable of collating, combining and visualizing information with advanced analysis techniques into a risk-based tool. The resulting tool provides a clear way of assessing building-damage costs risk due to tunneling-induced settlements. This uses a BIM-based environment and incorporates 3D visualizations and an integrated analysis via MATLAB to reveal and highlight hazardous areas and the severity of economic risk along the tunneling route. This informs the need for additional ground investigations or secondary analyses to ensure engineering processes reduce or remove the risk of economic damage and advance sustainable decision-making.

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