The quantum efficiency tester can achieve high measurement accuracy, ensuring the accuracy of results even in weak signals; Supporting a wide wavelength range from ultraviolet to near-infrared, meeting the testing needs of different materials, and providing the possibility for studying the intrinsic properties of various optoelectronic materials; Many modern instruments are integrated with automation control systems, and users only need to set the relevant parameters to automatically complete the entire measurement process, greatly improving work efficiency and operational convenience.
The quantum efficiency tester is not only suitable for the research and quality control of solar cells, but also for evaluating the performance of various photoelectric conversion devices such as photosensitive devices and photodetectors, with high universality and practical value; Real time monitoring of products during the production process can help manufacturers identify and solve problems in a timely manner, optimize production processes, and improve product quality and consistency; In the field of scientific research, quantum efficiency testers are important tools for studying new optoelectronic materials and devices, which can help researchers gain a deeper understanding of the optoelectronic properties of materials and accelerate the development and application of new technologies.
Measurement steps of quantum efficiency tester:
1. Sample preparation
-Cleaning treatment: Ensure that the surface of the tested sample is free of dust, oil stains, or other impurities, and if necessary, gently wipe it with a suitable solvent.
-Fixed installation: Place the sample firmly on the dedicated fixture or platform of the tester, ensuring that the illuminated area covers the target area and avoids obstruction.
2. Parameter settings
-Wavelength selection: Set the wavelength range of the monochromator or light source according to the testing requirements to simulate the response characteristics under different spectral conditions.
-Light intensity adjustment: Adjust the incident light intensity to an appropriate level, ensuring signal detectability without causing saturation effects.
-Integral time setting: Set a reasonable acquisition time based on sample characteristics and expected signal strength, balancing sensitivity and noise suppression.
3. Baseline calibration: Conduct blank measurements without placing samples, establish a baseline for background noise, and deduct this baseline from subsequent data to improve accuracy.
4. Data collection
-Start scanning: Automatically or manually trigger the measurement process according to the preset program, and record the current/voltage output values at each wavelength.
-Multi angle testing (optional): To analyze the influence of anisotropy, the sample can be rotated to repeatedly measure data at different incident angles.
5. Result analysis
-Data processing: Calculate the quantum efficiency curve through supporting software, including key indicators such as external quantum efficiency (EQE) and internal quantum efficiency (IQE).
-Spectral interpretation: Analyze peak position, bandwidth characteristics, and efficiency attenuation mechanism based on material band structure theory.
6. Verification and Comparison: Retest and confirm abnormal data points, and compare them horizontally with standard samples or historical data to identify the source of experimental errors.