Mathematical Modeling Of The Electric Field In Copper Bromide Laser

2007 ◽  
Author(s):  
Snezhana G. Gocheva-Ilieva ◽  
Iliycho P. Iliev ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
Ch. Tsitouras
Keyword(s):  
Mathematical Modeling ◽  
Electric Field ◽  
Copper Bromide ◽  
Copper Bromide Laser

Pressure Dependence of the Small-Signal Gain and Saturation Intensity of a Copper Bromide Laser

2017 ◽  
Vol 34 (8) ◽  
pp. 084201 ◽  
Author(s):  
M. E. Aeinehvand ◽  
S. Behrouzinia ◽  
M. K. Salem ◽  
M. Elahei ◽  
K. Khorasani
Keyword(s):  
Pressure Dependence ◽  
Small Signal Gain ◽  
Small Signal ◽  
Signal Gain ◽  
Copper Bromide ◽  
Saturation Intensity ◽  
Copper Bromide Laser

Generation of 30ps pulse from a short cavity dye laser pumped by a copper bromide laser

1990 ◽  
Vol 7 (7) ◽  
pp. 300-303 ◽  
Author(s):  
Zhu Lei ◽  
Qian Liejia ◽  
Zhang Guiyan ◽  
Song Xiudong ◽  
Lin Fucheng
Keyword(s):  
Dye Laser ◽  
Copper Bromide ◽  
Copper Bromide Laser

scholarly journals Parametric and Nonparametric Empirical Regression Models: Case Study of Copper Bromide Laser Generation

2010 ◽  
Vol 2010 ◽  
pp. 1-15 ◽  
Author(s):  
S. G. Gocheva-Ilieva ◽  
I. P. Iliev
Keyword(s):  
Multivariate Adaptive Regression Splines ◽  
Laser Generation ◽  
Good Prediction ◽  
Regression Splines ◽  
Gas Lasers ◽  
Copper Bromide ◽  
Wide Range ◽  
Adaptive Regression ◽  
Adaptive Regression Splines ◽  
Copper Bromide Laser

In order to model the output laser power of a copper bromide laser with wavelengths of 510.6 and 578.2 nm we have applied two regression techniques—multiple linear regression and multivariate adaptive regression splines. The models have been constructed on the basis of PCA factors for historical data. The influence of first- and second-order interactions between predictors has been taken into account. The models are easily interpreted and have good prediction power, which is established from the results of their validation. The comparison of the derived models shows that these based on multivariate adaptive regression splines have an advantage over the others. The obtained results allow for the clarification of relationships between laser generation and the observed laser input variables, for better determining their influence on laser generation, in order to improve the experimental setup and laser production technology. They can be useful for evaluation of known experiments as well as for prediction of future experiments. The developed modeling methodology is also applicable for a wide range of similar laser devices—metal vapor lasers and gas lasers.

Statistical Techniques For Examining Copper Bromide Laser Parameters

2007 ◽  
Author(s):  
Iliycho P. Iliev ◽  
Snezhana G. Gocheva-Ilieva ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
Ch. Tsitouras
Keyword(s):  
Statistical Techniques ◽  
Laser Parameters ◽  
Copper Bromide ◽  
Copper Bromide Laser

Classifying the Basic Parameters of Ultraviolet Copper Bromide Laser

2009 ◽  
Author(s):  
S. G. Gocheva-Ilieva ◽  
I. P. Iliev ◽  
K. A. Temelkov ◽  
N. K. Vuchkov ◽  
N. V. Sabotinov ◽  
...  
Keyword(s):  
Copper Bromide ◽  
Basic Parameters ◽  
Copper Bromide Laser

Mathematical modeling of mouse cell’s conductivity in pulsed electric field

2021 ◽  
Vol 23 (2) ◽  
pp. 188-195
Author(s):  
V.A. Shigimaga ◽  
R.A. Faizullin ◽  
A.S. Osokina
Keyword(s):  
Mathematical Modeling ◽  
Electric Field ◽  
Pulsed Electric Field
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