Semiconductor Radiation Detectors

Owens, A.R.

doi:10.1201/b22251

Cited by 20 publications

(9 citation statements)

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“…Si layer thicknesses were chosen according to the typical range between CIS/QIS and commercial Si wafers. High-Z semiconductor materials such as CdTe, CdZnTe (CZT), and PbTe can be used as PAL materials due to their chemical stability and material availability for thin film solar cells or infrared detectors [24][25][26][27]. For this Letter, we have primarily explored PbTe because Pb has a higher atomic number than Cd.…”

Section: (B)mentioning

confidence: 99%

“…3(a)). The product of these two should be divided by 3.65eV, the aforementioned average energy required to generate an EHP in Si [3,[24][25][26], to approximate the post-multiplication gain of the ultimate total number of electrons in Si. Table I shows the comparison between the number of X-ray excited primary photoelectrons before multiplication gain (which were used to determine the QY in Fig.…”

Section: (B)mentioning

confidence: 99%

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Monte Carlo Modeling and Design of Photon Energy Attenuation Layers for >10× Quantum Yield Enhancement in Si-Based Hard X-ray Detectors

et al. 2021

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High-energy (>20 keV) X-ray photon detection at high quantum yield, high spatial resolution, and short response time has long been an important area of study in physics. Scintillation is a prevalent method but limited in various ways. Directly detecting high-energy X-ray photons has been a challenge to this day, mainly due to low photon-to-photoelectron conversion efficiencies. Commercially available state-of-the-art Si direct detection products such as the Si charge-coupled device (CCD) are inefficient for >10 keV photons. Here, we present Monte Carlo simulation results and analyses to introduce a highly effective yet simple high-energy X-ray detection concept with significantly enhanced photon-to-electron conversion efficiencies composed of two layers: a top high-Z photon energy attenuation layer (PAL) and a bottom Si detector. We use the principle of photon energy down conversion, where high-energy X-ray photon energies are attenuated down to ≤10 keV via inelastic scattering suitable for efficient photoelectric absorption by Si. Our Monte Carlo simulation results demonstrate that a 10–30× increase in quantum yield can be achieved using PbTe PAL on Si, potentially advancing high-resolution, high-efficiency X-ray detection using PAL-enhanced Si CMOS image sensors.

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Section: (B)mentioning

confidence: 99%

Section: (B)mentioning

confidence: 99%

Monte Carlo Modeling and Design of Photon Energy Attenuation Layers for >10× Quantum Yield Enhancement in Si-Based Hard X-ray Detectors

et al. 2021

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“…Sending is impossible if there are errors in the format of the entered values, as well as the absence of an SSID value with the specified Access Point Wi-Fi password. In addition to the module settings, the settings of the application [12] are also checked. If there are errors in the configuration of the application or module, the user of the application must be notified that the input cannot be confirmed, the type and place of the error.…”

Section: The Uml Diagrams Of Android Application Precedents and Dosimetric Modulementioning

confidence: 99%

“…The dosimetric module scheme was built on the basis of a semiconductor CdZnTe detector. Modern microcontrollers STM-32F407VGT and ESP 32 are used to control the module, preprocess data, and organize the wireless Wi-Fi interface according to the protocol IEEE 802.11AH [12].…”

Section: Building the Structure Scheme Of The Dosimetric Module Of The Systemmentioning

confidence: 99%

“…The calculation of these parameters is carried out taking into consideration the peculiarities of the dependence of the detector sensitivity on the energy of the recorded quantum. For a CdZnTe detector, the method of correcting this dependence is proposed in paper [12]. where the average pulse amplitude <E pulse > is calculated by formula (2):…”

Section: Building the Structure Scheme Of The Dosimetric Module Of The Systemmentioning

confidence: 99%

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Design and implementation of the distributed dosimetric system based on the principles of IoT

Terokhin

Stervoyedov

Ridozub

2021

EEJET

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This paper describes the architecture and components of the distributed information and management system for collecting, processing, storing, and distributing data on a radiometric and dosimetric experiment using the principle of the Internet of Things. Data exchange between elements in the system, as well as the analysis of the received information, involves active application of the ThingSpeak cloud service. Two-way communication with the cloud with a 15-second loop has been implemented. Data are processed in the MATLAB (America) environment, integrated into the cloud. The developed hardware and software solutions demonstrate an increased accuracy of measurements due to the use of promising cadmium telluride (CdZnTe) detectors, modern microcontroller and micro communication technology, and a new algorithm for correcting the dependence of detector sensitivity on radiation energy. Measurement with correction by the method of average charge pulse amplitude is carried out in the energy range from 60 keV to 3 MeV. The resolution of the spectrometric channel is 6.5 % at the peak of 662 keV of full absorption from the reference source, Cesium (Сs – 137). The module for a laboratory sensor network, designed to measure the dose of ionizing radiation, has a built-in spectrometric analog-digital converter, microcontroller control, and a communication unit. Constructing the diagrams demonstrates the operation of the interrupt handler in the form of a series of events occurring when requests arrive from a Web server. The peculiarity of the system is the absence of intermediate devices that make it possible to establish a connection with the Internet. The developed system, equipment, algorithms, and programs are used for experimental studies of radiation and nuclear-physical processes. Elements of the system were useful for remote laboratory work by students

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Photoconductivity: Fundamental Concepts

Kasap

2022

Photoconductivity and Photoconductive Materials

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Semiconductor Radiation Detectors

Cited by 20 publications

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Monte Carlo Modeling and Design of Photon Energy Attenuation Layers for >10× Quantum Yield Enhancement in Si-Based Hard X-ray Detectors

Monte Carlo Modeling and Design of Photon Energy Attenuation Layers for >10× Quantum Yield Enhancement in Si-Based Hard X-ray Detectors

Design and implementation of the distributed dosimetric system based on the principles of IoT

Photoconductivity: Fundamental Concepts

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