Micro-pore spectrometer and spectral reconstruction method
A micro-hole and spectrometer technology, applied in the field of spectroscopy, to achieve low price, high diffraction efficiency, and increase the amount of incoming light
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Embodiment 1
[0039] Embodiment 1 verifies the validity of the present invention when performing spectrum measurement. Utilize the present invention to carry out the measurement result of spectrum measurement such as figure 2 shown. In this real-time example, figure 2 a is the micro-hole in the spectrometer, figure 2 The size of a is 1.024×1.024mm. figure 2 b is the structure diagram of the spectrometer, the distance between the microhole and the CCD in the spectrometer is 1cm. The number of CCD arrays is 256×256 pixels, and the size of each pixel is 4 μm. figure 2 d and figure 2 The solid lines in f represent two spectral curves to be measured. figure 2 c and figure 2 e is the diffraction pattern corresponding to the two spectra to be measured respectively. We have two diffraction patterns ( figure 2 In c and 2e), 300 pixels are respectively selected to construct the equation system. By solving the system of equations, the spectral curves were reconstructed. figure 2 d...
Embodiment 2
[0041] Example 2 demonstrates the resolution of the spectrometer. Such as image 3 a and image 3 The green line part in b is the two spectra to be measured. The two spectra have a peak at 2nm and 4nm, respectively. Use this spectrum to measure the above two spectra, the measurement results are as follows image 3 c and image 3 shown in d. We can see that the two 2nm and 4nm peaks can be clearly seen in the reconstruction results.
Embodiment 3
[0043] Example 3 demonstrates the anti-noise performance of the reconstruction algorithm of the present invention. In this noise immunity test, the figure 2 The spectrum in a is used as the spectrum to be measured. The diffraction pattern of the spectrum measured in embodiment 3 obtains by following equation simulation:
[0044]
[0045] Here ε rand,i is a random number, which obeys the normal distribution with variance σ=0.1. We are looking at the diffraction pattern figure 2 In c, 360 pixels were selected to construct the equation set to reconstruct the spectrum. When the noise SNR=96db, the reconstructed spectrum agrees very well with the original spectrum (such as Figure 4 shown in a). When SNR=90db, the error between the reconstructed spectrum and the original spectrum is very small (such as Figure 4 shown in b). When SNR=85db, the error of the reconstruction result increases, and the reconstruction result is still good although there are some noises (such ...
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