scholarly journals ScopeSim: a flexible general purpose astronomical instrument data simulation framework in Python

2020 ◽  
Author(s):  
Kieran Leschinski ◽  
Hugo Buddelmeijer ◽  
Oliver Czoske ◽  
Miguel Verdugo ◽  
Gijs Verdoes-Kleijn ◽  
...  
Keyword(s):  
General Purpose ◽  
Simulation Framework ◽  
Data Simulation ◽  
Astronomical Instrument

scholarly journals A fully parametric option in the LHCb simulation framework

2019 ◽  
Vol 214 ◽  
pp. 02024
Author(s):  
Benedetto Gianluca Siddi
Keyword(s):  
Magnetic Field ◽  
Particle Transport ◽  
General Purpose ◽  
Current Status ◽  
Detector Response ◽  
Simulation Framework ◽  
Present Contribution ◽  
Detector Resolution ◽  
Modular Software ◽  
Stable Particles

Faster alternatives to a detailed, GEANT4-based simulation are being pursued within the 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 for general-purpose experiments such as ATLAS and CMS to quickly propagate stable particles using a parametric approach and to provide reconstructed physical objects as output. It includes propagation inside a magnetic field and parameterized response for tracking and muon systems as well as calorimeters. Particle energies are computed by smearing the initial visible particles momentaaccording to detector resolution. The present contribution illustrates the current status of the Delphes toolkit in Gauss, the LHCb simulation framework. In this integration the particle transport performed by GEANT4 and subsequent mimicking of detector response and reconstruction has been replaced with a parametric response of the various detector elements. The implementation required sig-nificant changes to Delphes itself to constrain the particle transport inside the detector acceptance and to match the LHCb dipole magnetic field. The configuration of various parametrisations of resolution and efficiency is also a major aspect of the work to provide a fully functional simulation. The output of the resulting fast simulation is formatted in such a way that can be used in the LHCb physics analysis framework.

scholarly journals Exploiting grid resources for data simulation by using a general-purpose framework

2012 ◽  
Author(s):  
Armando Fella ◽  
Giacinto DONVITO ◽  
Eleonora Luppi ◽  
Matteo Manzali ◽  
Luca Tomassetti ◽  
...  
Keyword(s):  
General Purpose ◽  
Data Simulation ◽  
Grid Resources

An Object-Oriented Framework for Mesoscopic Modeling of Microstructure Evolution in Materials Processing

2003 ◽  
Author(s):  
Qiang Yu ◽  
Sven K. Esche
Keyword(s):  
Material Processing ◽  
Grain Growth ◽  
Growth Model ◽  
Microstructure Evolution ◽  
Object Oriented ◽  
General Purpose ◽  
Materials Processing ◽  
Simulation Framework ◽  
Mesoscopic Modeling ◽  
Grain Growth Model

This paper addresses the design of a general-purpose, object-oriented simulation framework for mesoscopic modeling of microstructure evolution in material processing. Some new results obtained using a grain growth model, which was incorporated into this framework, are presented.

Coupling EPIC to LS-DYNA for Simulation of Blast-Structure-Fragmentation Interaction

2010 ◽  
Author(s):  
David L. Littlefield ◽  
Kenneth C. Walls ◽  
Kent T. Danielson
Keyword(s):  
Finite Element ◽  
Large Scale ◽  
General Purpose ◽  
Structural Deformation ◽  
High Fidelity ◽  
High Fidelity Simulation ◽  
Finite Element Code ◽  
Simulation Framework

In this work we have coupled the EPIC code to the LS-DYNA code to provide a high-fidelity simulation framework for simulation of blast-structure-fragmentation interaction. The coupled code exploits the strengths of the two original codes: EPIC, which has special algorithms and models for weapons effects analysis, and LS-DYNA, which is a general purpose finite element code for modeling large-scale structural deformation. Example problems are shown which illustrate the advantages of this approach.

EFFECTIVE GPU ACCELERATION OF LARGE SCALE, ASYNCHRONOUS SIMULATIONS ON GRAPHS

2012 ◽  
Vol 15 (08) ◽  
pp. 1250035
Author(s):  
DUSTIN ARENDT ◽  
YANG CAO
Keyword(s):  
Stochastic Modeling ◽  
Large Scale ◽  
Ad Hoc ◽  
General Purpose ◽  
Gpu Acceleration ◽  
Simulation Framework ◽  
Good Balance ◽  
Recent Emergence ◽  
Wide Range ◽  
Gpu Implementation

The recent emergence of GPGPU programming has resulted in a number of very efficient, but ultimately ad-hoc implementations of GPU accelerated simulations of complex systems. Because developing applications for the GPU is still a difficult and time consuming task, efficient GPU parallelizations of general purpose modeling frameworks are very useful. The dimer automaton is a stochastic modeling and simulation framework with a good balance of robustness, generality, and simplicity with capacity to model a wide range of phenomena. A major advantage of dimer automata is the ease in which they can be applied to any space that can be represented as a graph. Therefore, we have developed an efficient GPU implementation of dimer automata that runs up to 80 times faster than the serial implementation.

scholarly journals Modelling and Simulation of ERTMS for Current and Future Mobile Technologies

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Christian Pinedo ◽  
Marina Aguado ◽  
Igor Lopez ◽  
Jasone Astorga
Keyword(s):  
General Purpose ◽  
Mobile Technologies ◽  
Simulation Framework ◽  
Railway Network ◽  
Simulation Tools ◽  
Network Availability ◽  
Heterogeneous Technologies ◽  
Real Trace ◽  
Riverbed Modeler ◽  
The Impact

Nowadays, train control in-lab simulation tools play a crucial role in reducing extensive and expensive on-site railway testing activities. In this paper, we present our contribution in this arena by detailing the internals of our European Railway Train Management System in-lab demonstrator. This demonstrator is built over a general-purpose simulation framework, Riverbed Modeler, previously Opnet Modeler. Our framework models both ERTMS subsystems, the Automatic Train Protection application layer based on movement authority message exchange and the telecommunication subsystem based on GSM-R communication technology. We provide detailed information on our modelling strategy. We also validate our simulation framework with real trace data. To conclude, under current industry migration scenario from GSM-R legacy obsolescence to IP-based heterogeneous technologies, our simulation framework represents a singular tool to railway operators. As an example, we present the assessment of related performance indicators for a specific railway network using a candidate replacement technology, LTE, versus current legacy technology. To the best of our knowledge, there is no similar initiative able to measure the impact of the telecommunication subsystem in the railway network availability.

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