1,078,147 research outputs found
Simulation tools for future interferometers
For the design and commissioning of the LIGO interferometer, simulation tools have been used explicitly and implicitly. The requirement of the advanced LIGO interferometer is much more demanding than the first generation interferometer. Development of revised simulation tools for future interferometers are underway in the LIGO Laboratory. The outline of those simulation tools and applications are discussed
LCD ROOT Simulation and Analysis Tools
The North American Linear Collider Detector group has developed a simulation
program package based on the ROOT system. The package consists of Fast
simulation, the reconstruction of the Full simulated data, and physics analysis
utilities.Comment: 5 pages 2 figure Latex, Presented at the 5th International Linear
Collider Workshop (LCWS2000
Simulation tools
In the last two decades, simulation tools made a significant contribution to the great progress in development of power electronics. Time to market was shortened and development costs were reduced drastically. Falling costs, as well as improved speed and precision, opened new fields of application. Today, continuous and switched circuits can be mixed. A comfortable number of powerful simulation tools is available. The users have to choose the best suitable for their application. Here a simple rule applies: The best available simulation tool is the tool the user is already used to (provided, it can solve the task). Abilities, speed, user friendliness and other features are continuously being improved—even though they are already powerful and comfortable. This paper aims at giving the reader an insight into the simulation of power electronics. Starting with a short description of the fundamentals of a simulation tool as well as properties of tools, several tools are presented. Starting with simplified models of power semiconductors, a time-continuous Matlab/ Simulink model for an H-bridge is introduced. The second part starts with the hardware model of a buck converter and the design and simulation of an appropriate linear controller. A possible structure of a controller with limiters and additional voltage feedforward is shown. The text closes with a summary of present challenges in simulation
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Modeling and simulation of data communication networks using SARA
The selection of an appropriate simulation language can have a profound impact on the success of a simulation study. The available options range from domain-specific simulation languages to general-purpose programming languages. These languages are often supported by a collection of tools which form a simulation system. This paper examines UCLA's SARA (Systems ARchitects' Apprentice) system and explores its' usefulness in modeling and simulating a data communications network. Based on experimental use of SARA's tools, the system is evaluated with respect to required expertise, modeling power, as well as measurement and reporting capability
MGSim - Simulation tools for multi-core processor architectures
MGSim is an open source discrete event simulator for on-chip hardware
components, developed at the University of Amsterdam. It is intended to be a
research and teaching vehicle to study the fine-grained hardware/software
interactions on many-core and hardware multithreaded processors. It includes
support for core models with different instruction sets, a configurable
multi-core interconnect, multiple configurable cache and memory models, a
dedicated I/O subsystem, and comprehensive monitoring and interaction
facilities. The default model configuration shipped with MGSim implements
Microgrids, a many-core architecture with hardware concurrency management.
MGSim is furthermore written mostly in C++ and uses object classes to represent
chip components. It is optimized for architecture models that can be described
as process networks.Comment: 33 pages, 22 figures, 4 listings, 2 table
Integrating Symbolic Execution with Sensornet Simulation for Efficient Bug Finding
High-coverage testing of sensornet applications is vital
for pre-deployment bug cleansing, but has previously been
difficult due to the limited set of available tools. We integrate
the KleeNet symbolic execution engine with the COOJA network
simulator to allow for straight-forward and intuitive
high-coverage testing initiated from a simulation environment.
A tight coupling of simulation and testing helps detect,
narrow down, and fix complex interaction bugs in an early
development phase. We demonstrate the seamless transition
between COOJA simulation and KleeNet symbolic execution.
Our framework enables future research in how high coverage
testing tools could be used in cooperation with simulation
tools
Simulation Tools for Detector and Instrument Design
The high performance requirements at the European Spallation Source have been
driving the technological advances on the neutron detector front. Now more than
ever is it important to optimize the design of detectors and instruments, to
fully exploit the ESS source brilliance. Most of the simulation tools the
neutron scattering community has at their disposal target the instrument
optimization until the sample position, with little focus on detectors. The ESS
Detector Group has extended the capabilities of existing detector simulation
tools to bridge this gap. An extensive software framework has been developed,
enabling efficient and collaborative developments of required simulations and
analyses -- based on the use of the Geant4 Monte Carlo toolkit, but with
extended physics capabilities where relevant (like for Bragg diffraction of
thermal neutrons in crystals). Furthermore, the MCPL (Monte Carlo Particle
Lists) particle data exchange file format, currently supported for the primary
Monte Carlo tools of the community (McStas, Geant4 and MCNP), facilitates the
integration of detector simulations with existing simulations of instruments
using these software packages. These means offer a powerful set of tools to
tailor the detector and instrument design to the instrument application
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