The research of solar cells has gone through three generations, silicon solar cells, thin film solar cells and perovskite solar cells. There are a variety of characterization methods used to analyze the factors that affect the performance of solar cells. Thus far, there are some deficiencies in the research of algorithms of the characterization methods themselves. Three types of data: current density-voltage (J-V) curves, X-ray diffraction (XRD) spectrum and absorption spectrum are the most essential characterization methods. Here, the processing algorithms of these three kinds of characterization data are studied, intend to help researchers to solve the practical problems more efficiently, and improve the accuracy of experimental results. In this paper, the process of processing algorithm are summarized in the way of flow chart, and combined with the example to show in turn.
Fiber optic Fabry-Perot cavity hydrophones have the advantages of high sensitivity, simple structure and the resistance to electromagnetic interference, making them a research hotspot. Filling the Fabry-Perot cavity with water media would lead to a decrease in the reflectivity of the fiber end face, thus causing a decrease in the sensitivity of the fiber FP cavity hydrophone. In this work, the magnetron sputtering technology was utilized with alumina as the sputtering target. A thin film was deposited to the end face of the optical fiber to improve the reflectivity of the end face of the fiber. Coated fibers with varied film thicknesses were prepared and their reflectivity was characterized. The experimental results showed that the reflectivity of the end face of the optical fiber in water media can be increased by an order of magnitude to 2.61%, which is an excellent basis for the development of a highly sensitive optical fiber Fabry-Perot cavity hydrophone.
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