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An interesting application of the prospective technology called Internet of Bio-Nano Things (IoBNT) is in the territory of the medicine. It's expected that this technology plays the role as tool of surveillance of the functionalities of the human organs. To accomplish that, the deployment of nanodevices very near to organs should be a must. However, the idea to deploy nanodevices should be sustained...
Strong electric fields are known to create biased adatom migration on metallic surfaces. We present a Kinetic Monte Carlo model that can simulate adatom migration on a tungsten (W) surface in electric fields. We validate our model by using it to calculate the drift velocity of the adatom at different fields and temperature and comparing the results with experimental data from the literature. We obtain...
In this work, we present an anytime planner for creating open-loop trajectories that solve rearrangement planning problems under uncertainty using nonprehensile manipulation. We first extend the Monte Carlo Tree Search algorithm to the unobservable domain. We then propose two default policies that allow us to quickly determine the potential to achieve the goal while accounting for the contact that...
GATE (Geant4 Application for Tomographic Emission) is an open-source Monte-Carlo simulation platform based on Geant4 (GEometry And Tracking) simulation toolkit, widely used for many medical physics applications. Since the Geant4-DNA physical models have been integrated into the version GATE v7.0, the applications of GATE are extended to the field of radiobiology. The latest version GATE v7.2 is based...
Faster alternatives to a full, GEANT4-based simulation are being pursued within LHCb experiment. In this context the integration of the Delphes toolkit in the LHCb simulation framework is intended to provide a fully parameterized option. Delphes is a modular software designed to perform fast simulations by propagating stable particles using a parametric approach and providing reconstructed physical...
A detailed study of hadronic interactions is presented using data recorded with the highly granular CALICE silicon-tungsten electromagnetic calorimeter. The predictions of several Monte Carlo GEANT4 models are compared with experimental data, taken at FNAL in 2008. The contribution recaps results published in 2015 and a set of new results available since the beginning of 2016. The published results...
CALICE collaboration is developing highly granular calorimeters for future high energy e+e- colliders. Using Particle Flow Algorithms for individual reconstruction of particles in the jets, they provide currently the best jet energy resolution. At high jet energies (typically above 70–100GeV in the proposed detectors), the jet particle showers start to overlap, and the resolution is determined by...
In this study, the accuracy of 3D ray tracing algorithm based Prowess Panther treatment planning system (TPS) was benchmarked against that of Monte Carlo (MC) simulations. MC Simulations were carried out in homogeneous and heterogeneous water phantoms with lung equivalent heterogeneities both in presence and absence of bone equivalent heterogeneities. Percentage depth doses (PDDs) were calculated...
In an effort to expand modern Particle-in-Cell (PIC) plasma simulations, a method for including radiation transport is examined. Tracking the dynamics of radiation transport in plasma simulations is inherently difficult and most models use either a semi-empirical or a propagator function approach. Here, discrete photons are emitted from excited state species with a state-dependent wavelength. This...
Numerical thermalization is a numerical artifact in Particle-In-Cell (PIC) simulations which cannot be ignored as the transition of the velocity distribution towards a Maxwellian type varies with the number of particles per Debye length for collisionless plasma1. It has been recently identified that the thermalization time is greatly reduced with the inclusion of collisions for one-dimensional (1D)...
The paper presents achievements of the Department of Microelectronics and Computer Science of Lodz University of Technology in field of microelectronic design for applications in extreme environments. The presented achievements diverge from projects devoted to particle accelerator control, analysis and simulation of electromagnetic interference effects in 3-D integrated systems, up to space technology...
The aim of this work is to analyze the scattered radiation produced by the mobile accelerator Mobetron. To do so detailed Monte Carlo simulation using two different codes, Penelope2011 and Geant4, were performed. Experimental measurements were also done to validate them. To quantify the attenuation of the internal structures present in the accelerator head on the scattered radiation produced, some...
One of he most difficult steps when preparing a Monte Carlo calculation is the design of their geometries. Such process is an error-prone, time-consuming, and complex step for any simulation in the field of medical physics. The software VoxelMages has been developed to help the user in this complex task. It allows to design arbitrary geometries and to process DICOM image files for simulations with...
In this paper, we consider the classical linear regression of the second order, the unknown parameters are usually evaluated by the method of least squares. The distribution of the error of parameter vector estimate depends on the plan choice. This choice is carried out to minimize the generalized variance of unknown parameters estimate or to maximize the information matrix determinant. To solve this...
The CALICE collaboration has published a detailed study of hadronic interactions using data recorded with the highly granular CALICE silicon-tungsten electromagnetic calorimeter (Si-W ECAL). Approximately 350,000 selected π− events at energies between 2 and 10GeV have been studied. The predictions of several physics models available within the Geant4 simulation tool kit are compared to this data....
Concepts, methods and tools relevant to assessing the reliability of Monte Carlo simulation in sensitive experimental applications are briefly reviewed. An overview of ongoing research in the domain of simulation validation and related activities, such as software quality evaluation and uncertainty quantification, is summarized.
GEANT4 is a toolkit for Monte Carlo simulation of the transport of particles in matter [1], [2]. It is used in a wide variety of applications including high energy physics, space and medical science.
THE emergence of multi- and many-core processors has been a well-established trend in the chip-making industry during the past decade. While this paradigm guarantees the continued increase of CPU performance, it requires some adaptation of existing code in order to better utilize these architectures.
A valuable set of dosimetric data for high energy electrons propagated through typical space multi-layer materials has been obtained in order to validate the main radiation simulation tools used by the space industry and to improve our knowledge of the uncertainties and margins in the space radiation analysis. The experimental dataset has been intensively compared with GEANT4, PENELOPE, ITS, EGSnrc...
In high performance computing, Monte Carlo methods are widely used to solve problems in various areas of computational physics, finance, mathematics, electrical engineering and many other fields. We present Monte Carlo methods for the Intel Xeon Phi coprocessor, to compute Feynman loop integrals in high energy physics, and integrals arising in stochastic geometry as two types of sample problems. The...
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