研究目的
Investigation of noise sources and their contribution to noise power that affects the SNR of several new radiation detectors materials.
研究成果
Noise measurements can be a useful screening tool for evaluating prospective detector samples and compounds. The compound semiconductors (Rb3Sb2I9 and Cs3Sb2I9) have a noise floor of -90dB and low white noise was observed, with the expected 1/f noise contribution. The low noise floor shows that these ternary compound semiconductors are potentially attractive for noise sensitive applications including low flux X-ray and gamma ray detectors.
研究不足
The origin of the deviation from a simple 1/f dependence for samples with α less than one is currently under investigation. These deviations contribute to lower detector performance.
1：Experimental Design and Method Selection:
The study involved measuring the frequency dependent noise spectra of photoconductive ternary compounds for hard radiation detectors. The major sources of noise were identified and analyzed.
2：Sample Selection and Data Sources:
The compounds studied include Cs3Sb2I9, Rb3Sb2I9, Hg3Se2I2, and TlSn2I5. These materials were selected based on their bandgaps, resistivity values, mobility-lifetime products, and X-ray response comparable to CdZnTe (CZT).
3：These materials were selected based on their bandgaps, resistivity values, mobility-lifetime products, and X-ray response comparable to CdZnTe (CZT).
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: The study used a Keithley 2636 current source meter, a SRS PS325 high voltage dc power supply, a charge sensitive preamplifier (eV-550), and an ORTEC amplifier (Model 572A).
4：Experimental Procedures and Operational Workflow:
The I-V characteristics were measured in the dark. The detector noise study was conducted using a radiation detection system where the detector is placed in an enclosed shielded box and connected to a preamplifier. The signal from the preamplifier was recorded by an oscilloscope and analyzed for noise study.
5：Data Analysis Methods:
A fast Fourier transform (FFT) of the time dependent data was used to separate the frequency dependent (1/f noise) and frequency independent (white noise) components.
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