研究目的
To present a low-noise low-power integrated charge-sensitive preamplifier with an integrated range-booster for solid-state detectors, enhancing the spectroscopic range and enabling high-resolution spectroscopy even in saturation conditions.
研究成果
The proposed integrated CSP with range-booster and baseline correction effectively extends the dynamic range for high-resolution spectroscopy, achieving resolutions suitable for particle spectrometry with silicon detectors. Future work should involve comprehensive characterization and real-detector testing.
研究不足
The study is preliminary; further analysis is needed to fully characterize the device. Limitations include the use of simulated detector inputs rather than actual detectors, and potential issues not fully explored in this initial testing phase.
1:Experimental Design and Method Selection:
The experiment involves testing an integrated charge-sensitive preamplifier (CSP) designed in AMS 350 nm technology, equipped with a fast-reset mechanism and an auxiliary TAC circuit for energy retrieval during saturation. The method includes injecting charge pulses to simulate detector signals and measuring output waveforms.
2:Sample Selection and Data Sources:
The chip is packaged in a PLCC88 carrier and mounted on a custom PCB. Charge pulses from 2 pC to 10 pC are injected using a pulser connected through a 1 pF test capacitor to simulate detector inputs.
3:List of Experimental Equipment and Materials:
Equipment includes a digital oscilloscope (5 Gs/s, 500 MHz), a pulser for charge injection, test capacitors (e.g., 1 pF), and the custom-designed PCB with the ASIC chip.
4:Experimental Procedures and Operational Workflow:
Charge pulses are injected into the CSP input; output signals from the CSP and auxiliary TAC are acquired with the oscilloscope. For each charge value, 100 signals are recorded, and signal heights are analyzed using an averaging algorithm over the flat-top.
5:Data Analysis Methods:
Data analysis involves evaluating the height of TAC signals to determine resolution (FWHM) and baseline rejection capabilities, using statistical techniques to assess performance.
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