Breath methane detection based on all-optical photoacoustic spectrometer

2017 ◽  
Vol 239 ◽  
pp. 1257-1260 ◽  
Author(s):  
Xuefeng Mao ◽  
Peichao Zheng ◽  
Xiaofa Wang ◽  
Suzhen Yuan
Keyword(s):  
Photoacoustic Spectrometer ◽  
All Optical ◽  
Breath Methane ◽  
Methane Detection

An all-optical photoacoustic spectrometer for trace gas detection

2011 ◽  
Vol 153 (1) ◽  
pp. 214-218 ◽  
Author(s):  
Qiaoyun Wang ◽  
Jianwei Wang ◽  
Liang Li ◽  
Qingxu Yu
Keyword(s):  
Gas Detection ◽  
Trace Gas ◽  
Trace Gas Detection ◽  
Photoacoustic Spectrometer ◽  
All Optical

An all-optical photoacoustic spectrometer for multi-gas analysis

2016 ◽  
Vol 232 ◽  
pp. 251-256 ◽  
Author(s):  
Xuefeng Mao ◽  
Xinlei Zhou ◽  
Zhengfeng Gong ◽  
Qingxu Yu
Keyword(s):  
Gas Analysis ◽  
Photoacoustic Spectrometer ◽  
All Optical

Demonstration of a miniature all-optical photoacoustic spectrometer based on ferrule-top technology

2013 ◽  
Vol 38 (10) ◽  
pp. 1672 ◽  
Author(s):  
Grzegorz Gruca ◽  
Kier Heeck ◽  
Jan Rector ◽  
Davide Iannuzzi
Keyword(s):  
Photoacoustic Spectrometer ◽  
All Optical

Lock-in white-light-interferometry-based all-optical photoacoustic spectrometer

2018 ◽  
Vol 43 (20) ◽  
pp. 5038 ◽  
Author(s):  
Ke Chen ◽  
Zhihao Yu ◽  
Zhenfeng Gong ◽  
Qingxu Yu
Keyword(s):  
White Light ◽  
White Light Interferometry ◽  
Photoacoustic Spectrometer ◽  
All Optical ◽  
Lock In

Correlation analysis of radiation damage

1978 ◽  
Vol 36 (1) ◽  
pp. 214-215
Author(s):  
R. Hegerl ◽  
A. Feltynowski ◽  
B. Grill
Keyword(s):  
Electron Microscopy ◽  
Independent Random Variables ◽  
Optical Parameters ◽  
Bright Field Image ◽  
Bright Field ◽  
Expectation Value ◽  
All Optical ◽  
Image Element ◽  
Stochastic Series ◽  
The Common

Till now correlation functions have been used in electron microscopy for two purposes: a) to find the common origin of two micrographs representing the same object, b) to check the optical parameters e. g. the focus. There is a third possibility of application, if all optical parameters are constant during a series of exposures. In this case all differences between the micrographs can only be caused by different noise distributions and by modifications of the object induced by radiation.Because of the electron noise, a discrete bright field image can be considered as a stochastic series Pm,where i denotes the number of the image and m (m = 1,.., M) the image element. Assuming a stable object, the expectation value of Pm would be Ηm for all images. The electron noise can be introduced by addition of stationary, mutual independent random variables nm with zero expectation and the variance. It is possible to treat the modifications of the object as a noise, too.

INFRARED PHOTOACOUSTIC SPECTROMETER AND DATA ANALYSIS FOR HETEROGENEOUS OR LIQUID SAMPLES

1983 ◽  
Vol 44 (C6) ◽  
pp. C6-165-C6-170
Author(s):  
G. Rousset ◽  
J. P. Monchalin ◽  
L. Bertrand
Keyword(s):  
Data Analysis ◽  
Liquid Samples ◽  
Photoacoustic Spectrometer

ALL-OPTICAL DIGITAL CIRCUITS

1988 ◽  
Vol 49 (C2) ◽  
pp. C2-459-C2-462 ◽  
Author(s):  
F. A.P. TOOLEY ◽  
B. S. WHERRETT ◽  
N. C. CRAFT ◽  
M. R. TAGHIZADEH ◽  
J. F. SNOWDON ◽  
...  
Keyword(s):  
Digital Circuits ◽  
All Optical
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