Considerations for the efficient spectral evaluation of reaction integrals associated with separated domains

2006 ◽  
Vol 153 (5) ◽  
pp. 469 ◽  
Author(s):  
G. Mayhew-Ridgers ◽  
J.W. Odendaal ◽  
J. Joubert
Keyword(s):  
2017 ◽  
Vol 7 (6) ◽  
pp. 1802-1809 ◽  
Author(s):  
Pedro M. Rodrigo ◽  
Eduardo F. Fernandez ◽  
Marios Theristis ◽  
Florencia Almonacid Cruz

2010 ◽  
Vol 3 (4) ◽  
pp. 879-891 ◽  
Author(s):  
N. Bobrowski ◽  
C. Kern ◽  
U. Platt ◽  
C. Hörmann ◽  
T. Wagner

Abstract. Differential Optical Absorption Spectroscopy (DOAS) is a well established spectroscopic method to determine trace gases in the atmosphere. During the last decade, passive DOAS, which uses solar radiation scattered in the atmosphere as a light source, has become a standard tool to determine SO2 column densities and emission fluxes from volcanoes and other large sources by ground based as well as satellite measurements. For the determination of SO2 column densities, the structured absorption of the molecule in the 300–330 nm region (due to the A1B1 ← X1A1 transition) is used. However, there are several problems limiting the accuracy of the technique in this particular application. Here we propose to use an alternative wavelength region (360–390 nm) due to the spin-forbidden a3B2 ← X1A1 transition for the DOAS evaluation of SO2 in conditions where high SO2 column densities prevail. We show this range to have considerable advantages in such cases, in particular when the particle content of the plume is high and when measurements are performed at large distances from the area of interest.


2020 ◽  
Author(s):  
Zoltan Derzsi

To detect a weak signal in human electrophysiology that is a response of a periodic external stimulus, spectral evaluation is mostly used. The recorded signal’s amplitude and phase noise components of the signal are statistically independent from each other, but both of them are decreasing the signal-to-noise ratio, which results in a lower probability of successful signal detection. Provided that the phase information of the stimuli is preserved, we found that a way to reject an additional phase noise component, which improves the detection probability considerably, by analysing the signal’s phase coherency instead of its spectrum.


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