The Atmospheric Propagation Simulation Characteristic of the Solar Blind Ultraviolet Light

2012 ◽  
Vol 229-231 ◽  
pp. 2623-2628
Author(s):  
Li Quan Zhang

In this paper, by using Monte Carlo method to study the Solar blind area in the near-Earth atmosphere ultraviolet non-line-of-sight propagation characteristics, and the use of Point to the probability method establish a rapid Monte Carlo model, this model can effectively simulate UV with complex boundary near Earth atmosphere system response function. Comparing with the single-scatter model it shows that, this model has higher accuracy and boundary processing ability. Simulation of obstacle on ultraviolet signal distribution effects, it shows that the UV signal has strong detouring ability. Different elevation on the UV signal propagation is analyzed, the simulation results are consistent with experimental results.

Author(s):  
Hwa Jeong Han ◽  
Byung Gi Park ◽  
Beom Kyu Kim ◽  
Ji Hye Park ◽  
Won Ki Kim

In this study, a Monte Carlo model has been developed for a Cerenkov-based fiber-optic gamma-ray sensor (CFOGRS) using the GEANT4 simulation toolkit. The detection material for gamma rays in CFOGRS is the transparent silica core of the optical fiber, which is also used for optical signal propagation. The model implemented with the GEANT4 includes the transport process of gamma rays, as well as the physical processes of Compton scattering, the Cerenkov effect, and optical photon propagation within the optical fiber. The model also simulated the applicability of the CFOGRS in a radiation environment by using the Monte Carlo code of GEANT4.


1998 ◽  
Author(s):  
Dennis J. Gallagher ◽  
Raymond Demara ◽  
Gary Emerson ◽  
Wayne W. Frame ◽  
Alan W. Delamere

1985 ◽  
Vol 8 (7) ◽  
pp. 364-365 ◽  
Author(s):  
J. Sedláček ◽  
L. Nondek

1995 ◽  
Vol 52 (1) ◽  
pp. 362-373 ◽  
Author(s):  
N. S. Amelin ◽  
H. Stöcker ◽  
W. Greiner ◽  
N. Armesto ◽  
M. A. Braun ◽  
...  

2016 ◽  
Vol 15 (3) ◽  
Author(s):  
Yann Balgobin ◽  
David Bounie ◽  
Martin Quinn ◽  
Patrick Waelbroeck

AbstractThe protection of financial personal data has become a major concern for Internet users in the digital economy. This paper investigates whether the consumers’ use of non-bank payment instruments that preserve financial privacy from banks and relatives may increase their online purchases. We analyze the purchasing decisions and the use of bank and non-bank payment instruments of a representative sample of French Internet consumers in 2015. Using two econometric methods, namely a two-step regression and a Bayesian Markov Chain Monte Carlo model to account for a potential endogeneity problem, we find evidence that the use of a non-bank payment instrument positively influences consumers’ online purchases.


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