scholarly journals A Comparative Study of Amplitude and Timing Estimation in Experimental Particle Physics using Monte Carlo Simulation

2013 ◽  
Vol 04 (05) ◽  
pp. 42-47
Author(s):  
Hongda Xu ◽  
Datao Gong ◽  
Yun Chiu
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Comparative Study ◽  
Particle Physics ◽  
Timing Estimation ◽  
Experimental Particle

Comparative study on nano-scale III-V MOSFETs with various channel materials using quantum-corrected Monte Carlo simulation

2011 ◽  
Vol 9 (2) ◽  
pp. 346-349 ◽  
Author(s):  
Takahiro Homma ◽  
Kei Hasegawa ◽  
Hisanao Watanabe ◽  
Shinsuke Hara ◽  
Hiroki I. Fujishiro
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Comparative Study ◽  
Nano Scale

scholarly journals Comparative Study of MBE Growth on Si(001) and GaAs(001) by Monte Carlo Simulation.

Shinku ◽  
1999 ◽  
Vol 42 (3) ◽  
pp. 147-150
Author(s):  
Takaaki KAWAMURA ◽  
Akira ISHII
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Comparative Study ◽  
Mbe Growth

Monte Carlo simulation of a SPECT system: GATE, MCNPX or SIMIND? (a comparative study)

2017 ◽  
Vol 12 (12) ◽  
pp. P12022-P12022 ◽  
Author(s):  
A. Taheri ◽  
S. Heidary ◽  
H. Shahrabi
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Comparative Study ◽  
Spect System

Some lattice-based scientific problems, expressed in Haskell

1996 ◽  
Vol 6 (3) ◽  
pp. 419-444
Author(s):  
D. B. Carpenter ◽  
H. Glaser
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Poisson Equation ◽  
Particle Physics ◽  
Language Evolution ◽  
Theoretical Models ◽  
Functional Language ◽  
The Poisson Equation ◽  
Grid Topology ◽  
Grid Based

AbstractThe paper explores the application of a lazy functional language, Haskell, to a series of grid-based scientific problems—solution of the Poisson equation, and Monte Carlo simulation of two theoretical models from statistical and particle physics. The implementations introduce certain abstractions of grid topology, making extensive use of the polymorphic features of Haskell. Updating is expressed naturally through use of infinite lists, exploiting the laziness of the language. Evolution of systems is represented by arrays of interacting streams.

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