scholarly journals Optimalisasi Geometri Wedge pada Pesawat Teleterapi 60Co

2017 ◽  
Vol 2 ◽  
pp. 9
Author(s):  
Ajeng Sarinda Yunia Putri ◽  
Suharyana Suharyana ◽  
Riyatun Riyatun ◽  
Muhtarom Muhtarom
Keyword(s):  
Monte Carlo ◽  
Dose Rate ◽  
Relative Error ◽  
Wedge Angle ◽  
Computer Software ◽  
Extended Version ◽  
Alloy Material ◽  
Measurement Experiment ◽  
Simulated Material ◽  
Antimony Alloy

<p class="AbstractEnglish"><strong>Abstract</strong>: In  RSUD Dr.  Moewardi available wedge angle of 15°, 30°, 45°, and 60°. This research simulates with Monte Carlo N-Particle eXtended Version (MCNPX) computer software to determine the geometry of the wedge that produces the isodose angle of 20°, which is hoped to be applied to therapy of organ tilt of 20 ° in some cases of cervical cancer. In simulation obtained the value of the wedge factor of isodose angle of 20° and distribution of dose rate. The simulated material of wedge is Lead-Antimony Alloy. Verification of the simulation result was done by measuring the wedge factor of angle of 30° and 60°, the simulation result was validated with result of measurement experiment on <sup>60</sup>Co teletherapy in RSUD Dr. Moewardi Surakarta. The relative error between simulation and measurement experiment of wedge angle of 30° is 8.84% and angle of 60° is 4.35%. The relative error is small to convince the researcher to develop a simulation at an isodose angle of about 20°. From the simulation results obtained isodose angle 20.3° of Lead-Antimony Alloy material with geometry is length 16 cm, width 14.9 cm, thick 0.83 cm, the value of the angle α of 3.2°. Wedge factor of isodose angle of  20.3 ° is (0.68 ± 0.01). Wedge isodose angle of 20.3° if used in therapy in an organ tilt about 20 ° gives dose rate enough uniform.</p><p class="KeywordsEngish"> </p><p class="AbstrakIndonesia"><strong>Abstrak </strong><strong>:</strong>. Di RSUD Dr. Moewardi tersedia <em>wedge </em>untuk sudut 15°, 30°, 45°, dan 60°. Penelitian ini mensimulasikan dengan software computer <em>Monte Carlo N-Particle eXtended Version</em> (MCNPX) untuk menentukan geometri <em>wedge </em>yang menghasilkan sudut isodosis 20°, dimana diharapkan dapat diaplikasikan pada terapi organ dengan kemiringan 20° di beberapa kasus kanker serviks. Besaran yang diperoleh dari simulasi adalah nilai faktor transmisi <em>wedge </em>sudut isodosis 20° dan distribusi laju dosis serap penggunaan <em>wedge </em>tersebut. Bahan <em>wedge</em> yang disimulasikan adalah <em>Lead-Antimony Alloy</em>. Verifikasi hasil simulasi dilakukan dengan pengukuran faktor <em>wedge</em> pada sudut isodosis 30° dan 60°, hasil simulasi divalidasi dengan hasil pengukuran langsung pada pesawat teleterapi <sup>60</sup>Co di RSUD Dr. Moewardi Surakarta. Kesalahan antara simulasi dan pengukuran langsung pada isodosis sudut 30° adalah 8,84 % dan pada sudut 60° adalah 4,35 %. Kesalahan relatif tersebut cukup kecil sehingga meyakinkan peneliti untuk menyusun simulasi pada sudut sekitar 20°. Dari hasil simulasi diperoleh isodosis sudut 20,3° dari bahan <em>Lead-Antimony Alloy</em><em> </em>dengan geometri yaitu panjangnya 16 cm, lebarnya 14,9 cm, tebalnya 0,83 cm, nilai sudut α sebesar 3,2°. Faktor <em>wedge</em> sudut 20,3° sebesar (0,68 ± 0,01). <em>Wedge</em><em> </em>sudut isodosis<em> </em>20,3° bila digunakan dalam terapi pada organ dengan kemiringan 20° memberikan laju dosis yang cukup seragam.<strong></strong></p><p class="KataKunci"> </p>

scholarly journals Erratum to: Monte Carlo dosimetry of the IRAsource high dose rate 192Ir brachytherapy source

2016 ◽  
Vol 39 (2) ◽  
pp. 591-591 ◽  
Author(s):  
Akbar Sarabiasl ◽  
Navid Ayoobian ◽  
Hossein Poorbaygi ◽  
Iraj Jabbari ◽  
Mohammad Reza Javanshir
Keyword(s):  
Monte Carlo ◽  
Dose Rate ◽  
High Dose Rate ◽  
High Dose ◽  
Brachytherapy Source

Monte Carlo dosimetry of high dose rate gynecologic interstitial brachytherapy

2013 ◽  
Vol 109 (3) ◽  
pp. 425-429 ◽  
Author(s):  
Maxime Desbiens ◽  
Michel D’Amours ◽  
Hossein Afsharpour ◽  
Frank Verhaegen ◽  
Marie-Claude Lavallée ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Dose Rate ◽  
High Dose Rate ◽  
Interstitial Brachytherapy ◽  
High Dose

scholarly journals Overshooting calibration and age determination from evolved binary systems

2018 ◽  
Vol 615 ◽  
pp. A62 ◽  
Author(s):  
G. Valle ◽  
M. Dell’Omodarme ◽  
P. G. Prada Moroni ◽  
S. Degl’Innocenti
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Relative Error ◽  
Binary Systems ◽  
The Other ◽  
Helium Burning ◽  
Primary Star ◽  
Large Variability ◽  
Convective Core ◽  
The Masses

Aims. The capability of grid-based techniques to estimate the age together with the convective core overshooting efficiency of stars in detached eclipsing binary systems for main sequence stars has previously been investigated. We have extended this investigation to later evolutionary stages and have evaluated the bias and variability on the recovered age and convective core overshooting parameter accounting for both observational and internal uncertainties. Methods. We considered synthetic binary systems, whose age and overshooting efficiency should be recovered by applying the SCEPtER pipeline to the same grid of models used to build the mock stars. We focus our attention on a binary system composed of a 2.50 M⊙ primary star coupled with a 2.38 M⊙ secondary. To explore different evolutionary scenarios, we performed the estimation at three different times: when the primary is at the end of the central helium burning, when it is at the bottom of the RGB, and when it is in the helium core burning phase. The Monte Carlo simulations have been carried out for two typical values of accuracy on the mass determination, that is, 1% and 0.1%. Results. Adopting typical observational uncertainties, we found that the recovered age and overshooting efficiency are biased towards low values in all three scenarios. For an uncertainty on the masses of 1%, the underestimation is particularly relevant for a primary in the central helium burning stage, reaching − 8.5% in age and − 0.04 (− 25% relative error) in the overshooting parameter β. In the other scenarios, an undervaluation of the age by about 4% occurs. A large variability in the fitted values between Monte Carlo simulations was found: for an individual system calibration, the value of the overshooting parameter can vary from β = 0.0 to β = 0.26. When adopting a 0.1% error on the masses, the biases remain nearly unchanged but the global variability is suppressed by a factor of about two. We also explored the effect of a systematic discrepancy between the artificial systems and the model grid by accounting for an offset in the effective temperature of the stars by ± 150 K. For a mass error of 1% the overshooting parameter is largely biased towards the edges of the explored range, while for the lower mass uncertainty it is basically unconstrained from 0.0 to 0.2. We also evaluate the possibility of individually recovering the β value for both binary stars. We found that this is impossible for a primary near to central hydrogen exhaustion owing to huge biases for the primary star of + 0.14 (90% relative error), while in the other cases the fitted β are consistent, but always biased by about − 0.04 (− 25% relative error). Finally, the possibility to distinguish between models computed with mild overshooting from models with no overshooting was evaluated, resulting in a reassuring power of distinction greater than 80%. However, the scenario with a primary in the central helium burning was a notable exception, showing a power of distinction lower than 5%.

Validation of shutdown dose rate Monte Carlo calculations through a benchmark experiment at JET

2008 ◽  
Vol 83 (10-12) ◽  
pp. 1782-1787 ◽  
Author(s):  
R. Villari ◽  
M. Angelone ◽  
P. Batistoni ◽  
U. Fischer ◽  
P. Pereslavtsev ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Dose Rate ◽  
Monte Carlo Calculations ◽  
Benchmark Experiment

scholarly journals Conceptual Shield Design for Boron Neutron Capture Therapy Facility Using Monte Carlo N-Particle Extended Simulator with Kartini Research Reactor as Neutron Source

2020 ◽  
Vol 35 (3) ◽  
pp. 177-181
Author(s):  
Afifah Hana Tsurayya ◽  
Azzam Zukhrofani Iman ◽  
R. Yosi Aprian Sari ◽  
Arief Fauzi ◽  
Gede Sutresna Wijaya
Keyword(s):  
Monte Carlo ◽  
Radiation Dose ◽  
Dose Rate ◽  
Neutron Source ◽  
Gamma Ray ◽  
Outer Part ◽  
Radiation Shielding ◽  
Radiation Dose Rate ◽  
Boron Neutron Capture ◽  
Radiation Workers

The research aims to measure the radiation dose rate over the radiation shielding which is made of paraffin and aluminium and to determine the best shield material for the safety of radiation workers. The examination used MCNP (Monte Carlo N-Particle) simulator to model the BNCT neutron source and the shield. The shield should reduce radiation to less than the dose limit of 10.42 µSv/h, which is assumed to be the most conservative limit when the duration of workers is 1920 h. The first design resulted in a radiation dose rate which was still greater than the limit. Therefore, optimization was done by adding the lead on the outer part of the shield. After optimization by adding the lead with certain layers, the radiation dose rate decreased, with the largest dose being 57.60 µSv/h. Some locations over the limit could be overcome by other radiation protection aspects such as distance and time. The paraffin blocks were covered by aluminium to keep the shield structure. The lead was used to absorb the gamma ray which resulted from the interaction between the neutrons and aluminium.

scholarly journals RESEARCH AND APPLICATION OF METHODS FOR CALCULATING THE MEASUREMENT UNCERTAINTY OF INDUSTRIAL FLOWMETERS

2020 ◽  
Vol 6 (444) ◽  
pp. 145-153
Author(s):  
S. G. Khan ◽  
◽  
L. K. Ibrayeva ◽  
N. V. Syabina ◽  
Z. M. Yuldashev ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Measurement Uncertainty ◽  
Relative Error ◽  
Electromagnetic Flowmeter ◽  
Standard Uncertainty ◽  
Practical Application ◽  
Labview Software ◽  
Complex Measurement ◽  
Measurement Equations ◽  
Mobile Complex

To create conditions for the recognition of Kazakhstani certificates of conformity and the results of product tests, an assessment of measurement uncertainty is required. In this regard, there has been an increase in the practical application in Kazakhstan of the concept of measurement uncertainty. The authors developed a physical stand for a mobile complex designed to verify electromagnetic flowmeters at the place of operation. To obtain verification results, programs were developed to calculate the uncertainty of an electromagnetic flowmeters using the NI LabView software. In addition, a model for estimating the uncertainty of the relative error of flowmeters was proposed, and the measurement uncertainty was estimated using three methods: standard, Monte Carlo and Kragten. Finally, a comparative analysis was conducted on the results of the estimation of the uncertainty of the relative error of the industrial electromagnetic flowmeter. All methods give standard uncertainty values that do not exceed the acceptable range of relative error (± 1%). However, Monte Carlo method gives better results for sufficiently large number of simulations. No significant differences between the results obtained using standard and Kragten methods were discovered. The Kragten method is preferable in the absence of the need to calculate the sensitivity coefficients when calculating the total standard uncertainty, which is important for complex measurement equations.

scholarly journals EP-1585: Optimization of high-dose rate photon needle parameters for topical applications, based on Monte Carlo simulation

2015 ◽  
Vol 115 ◽  
pp. S867-S868
Author(s):  
B. Zareba ◽  
K. Wincel ◽  
M. Slapa ◽  
P. Mazarewicz ◽  
A. Wysocka-Rabin
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Dose Rate ◽  
High Dose Rate ◽  
High Dose ◽  
Topical Applications

Worshiping Computers

2019 ◽  
pp. 85-110
Author(s):  
Gary Smith ◽  
Jay Cordes
Keyword(s):  
Neural Networks ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Common Sense ◽  
Deep Neural Networks ◽  
Computer Software ◽  
Square Roots ◽  
The World ◽  
The Way

Computer software, particularly deep neural networks and Monte Carlo simulations, are extremely useful for the specific tasks that they have been designed to do, and they will get even better, much better. However, we should not assume that computers are smarter than us just because they can tell us the first 2000 digits of pi or show us a street map of every city in the world. One of the paradoxical things about computers is that they can excel at things that humans consider difficult (like calculating square roots) while failing at things that humans consider easy (like recognizing stop signs). They can’t pass simple tests like the Winograd Schema Challenge because they do not understand the world the way humans do. They have neither common sense nor wisdom. They are our tools, not our masters.

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