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Calibration and characterization of imaging spectrographs

机译:成像光谱仪的校准和表征

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Spectrograph-based spectral imaging systems provide images with a large number of contiguous spectral channels per pixel. This paper describes the calibration and characterisation of such systems. The relation between pixel p0sition and measured wavelength has been determined using three different wavelength calibration sources. Results indicate that for spectral calibration, a source with very narrow peaks, such as a HgAr source, is preferred to narrow band filters. A third-order polynomial model gives an appropriate fit for the pixel to wavelength mapping. The signal-to-noise ratio (SNR) is determined per wavelength. In the blue part of the spectrum, the SNR is lower than in the green and red part. This is due to a decreased quantum efficiency of the sensor, a smaller transmission coefficient of the spectrograph, as well as low output power of the illuminant. Increasing the amount of blue light, using an additional fluorescent tube with a special coating considerably increases the SNR. Furthermore, the spatial and spectral resolution of the system has been determined in relation to the wavelength. These can be used to choose appropriate binning factors to decrease the image size without losing information. In our case this could reduce the image size by a factor of 60 or more.
机译:基于光谱仪的光谱成像系统为每个像素提供具有大量连续光谱通道的图像。本文介绍了此类系统的校准和特性。像素位置与测量波长之间的关系已使用三种不同的波长校准源确定。结果表明,对于光谱校准,峰宽非常窄的源(例如HgAr源)比窄带滤波器更可取。三阶多项式模型为像素到波长的映射提供了合适的拟合。每个波长确定信噪比(SNR)。在光谱的蓝色部分,SNR低于绿色和红色部分。这是由于传感器的量子效率降低,光谱仪的透射系数较小以及光源的输出功率较低。使用带有特殊涂层的附加荧光灯管,增加蓝光的数量会大大提高SNR。此外,已经相对于波长确定了系统的空间和光谱分辨率。这些可用于选择适当的合并因子以减小图像大小而不会丢失信息。在我们的情况下,这可能会使图像尺寸减小60倍或更多。

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