Spectrometer: Difference between revisions
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Spectrometer is a [[Modules|Module]] to interface spectrometer devices. It allows for loading corresponding [[Device Classes]]. | Spectrometer is a [[Modules|Module]] to interface spectrometer devices. It allows for loading corresponding [[Device Class|Device Classes]]. | ||
=== Features === | === Features === | ||
* calculates the total intensity by summing over all values of the intensities using numpy function trapz: | |||
* The module calculates the total intensity by summing over all values of the intensities using numpy function trapz: | |||
{{syntaxhighlight|lang=python|code= | |||
total_intensity = np.trapz(y = self.spectrum, x = self.wavelengths) | total_intensity = np.trapz(y = self.spectrum, x = self.wavelengths) | ||
* CIE coordinates are calculated based on the CIE standard from 1931 [https://en.wikipedia.org/wiki/CIE_1931_color_space] | }} | ||
* The peak wavelength of highest intensity is calculated. | |||
* CIE coordinates are calculated based on the CIE standard from 1931 [https://en.wikipedia.org/wiki/CIE_1931_color_space] in case the measured spectrum covers the wavelength range from 360 nm to 830 nm. | |||
* Boxcar smoothing can be used to reduce the noise of a spectrum which is done prior calculating total intensity, the peak wavelength, and the CIE coordinates. | |||
* Take reference spectrum reads a spectrum during [[initialize]], i.e. before all measurements start. The reference spectrum is subtracted from all spectra being measured. The integration time must be constant during the measurement. | |||
=== Device Classes specifics === | |||
* | * Device Class must return wavelengths and spectrum during [[call]] as first and second value | ||
* Device Class needs a function read_Wavelengths() which returns a list of wavelengths | |||
Revision as of 22:25, 6 May 2018
Spectrometer is a Module to interface spectrometer devices. It allows for loading corresponding Device Classes.
Features
- The module calculates the total intensity by summing over all values of the intensities using numpy function trapz:
total_intensity = np.trapz(y = self.spectrum, x = self.wavelengths)
- The peak wavelength of highest intensity is calculated.
- CIE coordinates are calculated based on the CIE standard from 1931 [1] in case the measured spectrum covers the wavelength range from 360 nm to 830 nm.
- Boxcar smoothing can be used to reduce the noise of a spectrum which is done prior calculating total intensity, the peak wavelength, and the CIE coordinates.
- Take reference spectrum reads a spectrum during initialize, i.e. before all measurements start. The reference spectrum is subtracted from all spectra being measured. The integration time must be constant during the measurement.
Device Classes specifics
- Device Class must return wavelengths and spectrum during call as first and second value
- Device Class needs a function read_Wavelengths() which returns a list of wavelengths