Explore an active learning application in the search for dark matter using ATLAS PanDA and iDDS. Investigate Beyond Standard Model physics parameters related to Hidden Abelian Higgs Model and New Scalar with a focus on cross-section limit calculations. Understand the process for generating Monte Car

0 views • 16 slides

Explore the process of modeling in Decision Support Systems for Business Intelligence through images, tables, and examples. Learn about the dimensionality of models, nonlinear relationships, randomness, and Monte Carlo analysis as essential components in business decision-making.

0 views • 45 slides

This course covers the basics of systems modeling, discrete-event simulation, and computer systems performance evaluation. Topics include Monte Carlo simulation, probability models, simulation output analysis, queueing theory, and more. Professor Carey Williamson leads the course with a focus on pra

4 views • 21 slides

The U.S. Army Modeling and Simulation Office (AMSO) serves as the lead activity in developing strategy and policy for the Army Modeling and Simulation Enterprise. It focuses on effective governance, resource management, coordination across various community areas, and training the Army Analysis, Mod

1 views • 8 slides

Simulation studies are often used to evaluate statistical methods and study power, but they can sometimes produce misleading results. This work discusses strategies to assess and improve the quality of simulation studies, drawing on experiences and considerations outlined in relevant literature. A s

0 views • 31 slides

Dive into the world of Monte Carlo simulations and probabilistic methods, understanding the basic principles, the Law of Large Numbers, Pseudo-Random Number Generators, and practical Monte Carlo steps. Explore topics like conditional probability, basic geometry, and calculus through engaging exercis

3 views • 10 slides

Monte Carlo simulation is a stochastic technique that uses random numbers and probability statistics to investigate and solve problems. In the context of transport simulation, a Monte Carlo program simulates the passage of particles through matter, involving geometry, transport, visualization, detec

0 views • 11 slides

This content provides insights into CPSC 531: System Modeling and Simulation course, covering topics such as performance evaluation, simulation modeling, and terminology in system modeling. It emphasizes the importance of developing simulation programs, advantages of simulation, and key concepts lik

0 views • 28 slides

Randomized algorithms incorporate randomness into computations, with Las Vegas algorithms always providing the correct answer but varying in time, while Monte Carlo algorithms occasionally give wrong answers. Quick Sort is a classic Las Vegas algorithm that involves pivoting elements for sorting. Ch

4 views • 21 slides

Basin Manipulation Simulation Analysis Tool provides a comprehensive solution for managing and analyzing basin data, including tasks like basin manipulation, simulation analysis, case management, and defining simulation time steps. The tool allows for easy data entry, visualization of simulation res

2 views • 17 slides

Explore the process of obtaining the Cherenkov ring radius using Circular Hough Transform in a modular rich detector simulation. The study, conducted by Cheuk-Ping Wong from Georgia State University, delves into Monte Carlo results, ring finder algorithms, event displays, and radius distributions in

0 views • 20 slides

Monte Carlo Tree Search (MCTS) is an intelligent tree search algorithm that balances exploration and exploitation by using random sampling through simulations. It is widely used in AI applications such as games (e.g., AlphaGo), scheduling, planning, and optimization. This algorithm involves steps li

0 views • 16 slides

Hands-on simulation training in education provides students with valuable learning experiences by increasing self-reported knowledge and technical proficiency. Simulations help improve students' knowledge, experience, and comfort with challenging procedures in a lower-risk environment, leading to en

0 views • 13 slides

Computer simulation and modeling is essential for conducting studies in various fields. Selecting the right simulation language or package is crucial for accurate results. This involves considering the characteristics of the language, such as random number generation, process transformers, list proc

0 views • 7 slides

Overview of recent talks and discussions at LCWS 2014 in Belgrade, Serbia, focusing on machine protection, simulation codes, instrumentation, and system tests. Topics include beam-loss monitors, dark current measurements, simulation code developments, and beam dynamics studies in linacs. Key speaker

0 views • 12 slides

Explore the principles and benefits of healthcare simulation, focusing on formative evaluation and constructive feedback to improve learning outcomes. Delve into the role of formative assessment tools, TeamSTEPPS model, and Mayo High Performance Teamwork Scale in simulation scenarios. Discover the s

0 views • 37 slides

Explore techniques for improving calculation efficiency in the PHITS Multi-Purpose Particle and Heavy Ion Transport code system. Topics covered include neutron deep penetration calculation, effective dose calculation, and use of variance reduction techniques to enhance Monte Carlo simulation efficie

0 views • 24 slides

Markov Chain Monte Carlo (MCMC) algorithms play a crucial role in generating sequences of states for various applications. One popular MCMC method, Gibbs Sampling, is particularly useful for Bayesian networks, allowing the random sampling of variables based on probability distributions. This process

1 views • 7 slides

Exploring the concept of Monte Carlo analysis as a method of uncertainty assessment through sampling inputs, running models, and analyzing outputs. Learn how to simulate dice rolls, evaluate probabilities, and assess accuracy with sample size. Monte Carlo approaches are versatile and applicable to v

0 views • 70 slides

Understanding the importance of plasma etching in semiconductor fabrication, this discourse delves into the challenges faced in modeling modern etch processes. Topics covered include stochastic defect detection, reactor-level plasma physics, and an integrated model hierarchy approach. Techniques suc

0 views • 14 slides

Understanding variance reduction techniques in Monte Carlo simulations is essential for improving program efficiency. Techniques like biasing, absorption weighting, splitting, and forced collision help reduce variance and enhance simulation accuracy. By adjusting particle weights and distributions,

0 views • 37 slides

Simulation study on beam polarization for the Circular Electron Positron Collider (CEPC) using the PTC Poly- morphic Tracking Code. The study includes orbital and spin tracking, equilibrium polarization calculation, and Monte-Carlo simulation of depolarization rate. Comparison with other Monte-Carlo

0 views • 20 slides

This course introduces students to event-oriented simulation, building virtual models, and validating designs through simulation. It covers the importance of simulation in testing and refining designs before implementation. Examples include simulating VLSI networks and exploring the use of discrete-

0 views • 32 slides

Discover how using JMP can optimize semiconductor product performance across various conditions, emphasizing the impact on gross margin. Learn about the benefits of Monte Carlo simulation, statistical analysis, and consistent documentation in managing complex chip designs and customer requirements e

0 views • 20 slides

Explore the capabilities of PENELOPE simulation software for analyzing samples with intricate structures like particles, inclusions, multilayers, lamellae, and phase boundaries. The software facilitates detailed investigations of material composition and electron-photon transport in diverse geometri

0 views • 28 slides

Analog building blocks using XFAB SOI technology with adjustable feedback capacitors, slow and fast shapers, simulation results, linearity up to 8.36 pC, discriminator efficiency, and Monte Carlo analysis. Issues regarding noise contributions and feedback capacitance are also discussed. Presented at

0 views • 13 slides

Simulation design for authentic learning and assessment is a crucial aspect of education, particularly in the healthcare field. At the Australian Catholic University (ACU), simulation plays a significant role in providing students with authentic experiences that bridge the gap between theory and pra

0 views • 18 slides

Simulation studies in Stata involve using (pseudo) random numbers to generate data from a distribution for studying statistical methods. This process helps to evaluate different scenarios and understand the properties of statistical techniques. Key components like ADEMP (Aims, Data-generating mechan

1 views • 18 slides

ZMCintegral is an easy-to-use Python package designed for Monte Carlo integration on multi-GPU devices. It offers features such as random sampling within a domain, adaptive importance sampling using methods like Vegas, and leveraging TensorFlow-GPU backend for efficient computation. The package prov

0 views • 7 slides

The document presents simulation results for an LC-optimized PHY proposal for TGbb based on G.9991 PHY. It includes details on the simulation setup, frame detection results, header modulation, coding simulation results, payload modulation, and coding simulation results. The setup involved various re

0 views • 18 slides

This study compares tissue doses from different radionuclides - Sn-117m, P-32, Y-90, Re-186, and Er-169 - for radiosynoviorthesis using Monte Carlo simulation. It explores electron range, half-life, and therapeutic absorbed doses to synovial tissues, presenting a hypothesis on the selection of radio

0 views • 12 slides

This simulation showcases a lumped thermoelectric module with PID control. The model evaluates the performance of a thermoelectric element in a nonisothermal fluid flow around a heat sink. A stationary simulation assesses the module's capabilities, followed by a transient simulation with a PID contr

0 views • 7 slides

Explore variability sources hidden in density distributions through JMP scripting. The analysis focuses on identifying and filtering distribution modes in semiconductor fab electrical measurements using kernel estimation and empirical rules. Antonio D'Angelo and Felice Russo from Lfoundry S.r.l. Ita

0 views • 6 slides

A detailed exploration of Monte Carlo simulations for GEM-based neutron detectors, investigating their detection efficiency and performance characteristics. Various detector designs and concepts, including multi-layer converters and GEM detectors, are discussed, along with simulation results on sign

0 views • 12 slides

Stochastic algorithms, including Monte Carlo and Las Vegas variations, leverage randomness to tackle complex tasks efficiently. While Monte Carlo algorithms prioritize speed with some margin of error, Las Vegas algorithms guarantee accuracy but with variable runtime. They play a vital role in primal

0 views • 13 slides

The Defense Modeling and Simulation Coordination Office (DND/CAF MSCO) is responsible for managing contractors, policies, and strategic activities related to modeling and simulation within the Canadian Armed Forces. The office focuses on supporting various organizations and enhancing capabilities th

0 views • 6 slides

Explore the aerodynamic simulation of the MARINTEK Braceless Semisubmersible through advanced techniques and tools. Discover the unique aerodynamic actuator, simulation models, and tools used in the research conducted by Gordon Stewart, a post-doctoral researcher at NTNU. Gain insights into the expe

0 views • 16 slides

Update on the Year 1 Joint Hurricane Testbed Project, focusing on the Monte Carlo Wind Probability Model and its estimation of wind probabilities for different intensities. The model incorporates track and intensity error distributions, land proximity, and serial correlations to provide accurate for

0 views • 23 slides

This discusses Sequential Monte Carlo methods for estimating functions when direct sampling is difficult. It explains the basic idea, conditions on the distribution, handling known normalizing constants, weight diagnostics for importance distribution, and effective sample size considerations.

0 views • 37 slides

Exploring different simulation types such as continuous and discrete event simulations for modeling complex systems like ecosystems. Detailed discussion on creating an ecosystem simulation with fish and bears on a grid, showcasing actions like breeding, moving, eating, and dying. Overview of a World

0 views • 31 slides