A new method of waveform digitization based on time-interleaved A/D conversion

Ye, Chun-Feng; Liu, Zhao; Feng, C. Q.; Liu, Shubin; An, Qi

doi:10.1088/1674-1137/37/11/116102

Cited by 6 publications

(5 citation statements)

References 28 publications

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“…The External-target Experiment (CEE) at the HIRFL-CSR will be a large-scale GeV nuclear physics experiment independently developed in China. The Zero-degree calorimeter [453] uses is a 16-channel, 14-bit pipeline ADC (AD9249) [454] with a sampling rate of 65 MHz to realize waveform digitization. For the MAPS in heavy-ion physics, a regional 12-bit 40-Msps pipeline ADC has been designed to convert the analog signals from the pixels into digital data [455].…”

Section: Waveform Digitizationmentioning

confidence: 99%

Advances in nuclear detection and readout techniques

He,

Niu,

Wang

et al. 2023

NUCL SCI TECH

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Abstract“A Craftsman Must Sharpen His Tools to Do His Job,” said Confucius. Nuclear detection and readout techniques are the foundation of particle physics, nuclear physics, and particle astrophysics to reveal the nature of the universe. Also, they are being increasingly used in other disciplines like nuclear power generation, life sciences, environmental sciences, medical sciences, etc. The article reviews the short history, recent development, and trend of nuclear detection and readout techniques, covering Semiconductor Detector, Gaseous Detector, Scintillation Detector, Cherenkov Detector, Transition Radiation Detector, and Readout Techniques. By explaining the principle and using examples, we hope to help the interested reader underst and this research field and bring exciting information to the community.

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Section: Waveform Digitizationmentioning

confidence: 99%

Advances in nuclear detection and readout techniques

He,

Niu,

Wang

et al. 2023

NUCL SCI TECH

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“…One possible solution is to employ two channels with sampling clocks of 180° phase shift to achieve time interleaved modulation. By this method, the sampling rate will be doubled but a correction mechanism is needed to correct the gain, phase and offset difference between the channels [44].…”

Section: ) Time Interleaved Fpga-adcmentioning

confidence: 99%

Design and Evaluation of an FPGA-ADC Prototype for the PET Detector Based on LYSO Crystals and SiPM Arrays

Ma¹,

Dong

Yu³

et al. 2022

IEEE Trans. Radiat. Plasma Med. Sci.

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the aim of this study is to design and evaluate a simple free running Analog-Digital Converter (ADC) based on the Field Programmable Gate Array (FPGA) device to accomplish the energy and position readout of the silicon photomultiplier (SiPM) array for application as PET scanners. This simple FPGA-ADC based on a carry chain Time-Digital Converter (TDC) implemented on a Kintex-7 FPGA consists of only one off-chip resistor so it has greater advantages in improving system integration and reducing cost than commercial chips. In this paper, a FPGA-ADC based front-end electronics prototype is presented, and both the design principle and implementation considerations are discussed. Experiments were performed using an 8 × 8 (crystal size: 4 × 4 × 15 mm 3 ) and a 12 × 12 (crystal size: 2.65 × 2.65 × 15 mm 3 ) segmented LYSO crystals coupled with an 8 × 8 SiPM (Jseries, from ON Semiconductor) array which is under 22 Na point source excitation. Initial test results indicate that the energy resolution of the two detectors after correction is around 13.2% and 13.5 % at 511 keV, and the profiles of the flood histograms show a clear visualization of the discrete scintillator element. All measurements were carried out at room temperature (~25 °C), without additional cooling.

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“…The output signal from A3 is digitized by the 12-bits 62.5-Msps ADC. The time measurement is based on the leading edge discrimination and the FPGA (Field Programmable Gate Array)-based TDC technique [16,[24][25][26][27][28][29]. In order to extract the charge information, the output data stream of the ADC was fed to the FPGA for peak detection or waveform integration.…”

Section: A Charge Measurement In the Lhaaso Wcda Faementioning

confidence: 99%

A Time-to-Digital Converter-Based Correction Method for Charge Measurement Through Area Integration

Zhang

Liu

Dong

et al. 2018

IEEE Trans. Nucl. Sci.

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A high-precision charge measurement can be achieved by the area integration of a digitized quasi-Gaussian signal after the signal passes through the shaper and analog-to-digital converter (ADC). The charge measurement contains an error due to the uncertainty of the first sampled point of a signal waveform. To reduce the error, we employ a time-to-digital converter (TDC) to measure the uncertainty precisely, and we design correction algorithms to improve the resolution of the charge measurement. This work includes analysis and simulations of the proposed algorithms and implementation of them in an FPGA device. Besides, the tests are also conducted to evaluate the performance of the correction method. Test results indicate that the resolution of the charge measurement is successfully improved from 2.31‰ to 1.26‰ by using a signal from the shaping circuit (with the amplitude of 2 V, and leading and trailing edges of about 80 ns and 280 ns, respectively) digitized at the sampling rate of 62.5 Msps.

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A new method of waveform digitization based on time-interleaved A/D conversion

Cited by 6 publications

References 28 publications

Advances in nuclear detection and readout techniques

Advances in nuclear detection and readout techniques

Design and Evaluation of an FPGA-ADC Prototype for the PET Detector Based on LYSO Crystals and SiPM Arrays

A Time-to-Digital Converter-Based Correction Method for Charge Measurement Through Area Integration

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