Abstract
In the previous chapter the calibration strategy based on theoretical intensities and spectral sensitivity was introduced. Two main tasks have to be undertaken in order to achieve a reliable calibration. These two tasks will now be motivated individually.
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Notes
- 1.
As an example: \(\theta _\mathrm{{min}}\) and \(\theta _\mathrm{{max}}\) are functions of the variables \(z\) and \(\varphi \).
- 2.
- 3.
The limiting case \(\rho _\mathrm{{SP0SA}}=0\) is obtained for \(b^{(2)}\gamma ^2=0\) in Eq. 5.10 while \(\rho _\mathrm{{SP0SA}}=3/4\) results from \(a^2=0\).
- 4.
The complete analysis is implemented in C++ using ROOT functions. The program is made available under http://depoltools.sourceforge.net.
- 5.
Note that nitrogen was used in investigations like the described one, since it is easily available as Raman sample from ambient air.
- 6.
The full tabulation of all data sets measured at the TLK and Swansea is found in Appendix G.
- 7.
Note that in this case the “normal distribution” is not normalized to an area equal to \(1\).
- 8.
Holzer et al. also measured \(\mathrm{{D}}_{2}\).
- 9.
The derivation is given in detail in Appendix F.
- 10.
To give an example, the MonLARA system was then also equipped with a sheet polarizer in the light collection system, which is necessary in order to choose the correct polarization composition of the scattered light in the intensity calculations.
- 11.
NIST = American National Institute of Standards and Technology.
- 12.
In the case of unpolarized emission, no modulation would be expected, while in the case of fully polarized emission, a modulation of \(100\) % of the amplitude would be assumed.
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Schlösser, M. (2014). Calibration Based on Theoretical Intensities and Spectral Sensitivity (Method I). In: Accurate Calibration of Raman Systems. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-06221-1_5
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