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Difference between revisions of "Talk:Oxygen flux - instrumental background"

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(Created page with "== Intercept (a<sup>0</sup>) for high oxygen backgrounds == What does the intercept (a<sup>0</sup>) for high oxygen backgrounds actauyl mean? Can it be used as a quality control ...")
 
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== Intercept (a<sup>0</sup>) for high oxygen backgrounds ==
== Intercept (a<sup>0</sup>) for high oxygen backgrounds ==
What does the intercept (a<sup>0</sup>) for high oxygen backgrounds actauyl mean? Can it be used as a quality control parameter?
What does the intercept (a<sup>0</sup>) for high oxygen backgrounds actually mean? Can it be used as a quality control parameter?


Unlike for the situation of backgrounds spanning atmospheric saturation to low oxygen, in high O2 backgrounds the data point with the lowest oxygen concentration is far removed from the y axis . So while the two parameters intercept and slope describe the background adequately for correction the descriptive value of the intercept alone is rather small. (Basically the regression line      can be rotated slightly  without much effect on the calculation in its valid range - but the intercept will be shifted drastically by this slight rotation.) Considering your very high O2 level I also  think that your values are not that unusual. If you want me to have a look on the files please feel free to send them. If there is a suspicion that the chamber is leaky you could record      a background at standard conditions - any problem of the chamber should also be visible in such a background. So one could express it in the following way:
Unlike for the situation of backgrounds spanning atmospheric saturation to low oxygen, in high O2 backgrounds the data point with the lowest oxygen concentration is far removed from the y axis . So while the two parameters intercept and slope describe the background adequately for correction the descriptive value of the intercept alone is rather small. (Basically the regression line      can be rotated slightly  without much effect on the calculation in its valid range - but the intercept will be shifted drastically by this slight rotation.) Considering your very high O2 level I also  think that your values are not that unusual. If you want me to have a look on the files please feel free to send them. If there is a suspicion that the chamber is leaky you could record      a background at standard conditions - any problem of the chamber should also be visible in such a background. So one could express it in the following way:

Revision as of 16:24, 19 February 2014

Intercept (a0) for high oxygen backgrounds

What does the intercept (a0) for high oxygen backgrounds actually mean? Can it be used as a quality control parameter?

Unlike for the situation of backgrounds spanning atmospheric saturation to low oxygen, in high O2 backgrounds the data point with the lowest oxygen concentration is far removed from the y axis . So while the two parameters intercept and slope describe the background adequately for correction the descriptive value of the intercept alone is rather small. (Basically the regression line can be rotated slightly without much effect on the calculation in its valid range - but the intercept will be shifted drastically by this slight rotation.) Considering your very high O2 level I also think that your values are not that unusual. If you want me to have a look on the files please feel free to send them. If there is a suspicion that the chamber is leaky you could record a background at standard conditions - any problem of the chamber should also be visible in such a background. So one could express it in the following way:

  • Instrumental oxygen background covering the range from atmospheric saturation to low oxygen is BOTH: A way to determine the background parameters and a very powerful instrumental performance test, checking (inter alia) for too high back diffusion, visible in the obtained background parameters.
  • Instrumental oxygen background at high oxygen levels is a way to determine the background parameters. Very massive problems in back diffusion will also be detected.

Fasching Mario 09:48, 31 January 2014 (CET)