A compact low-noise photodiode detection system for chemiluminescence nitric oxide analyzer

2019 ◽  
Vol 90 (4) ◽  
pp. 046103 ◽  
Author(s):  
Hang Li ◽  
Wenqing Liu ◽  
Ruifeng Kan
Keyword(s):  
Nitric Oxide ◽  
Detection System ◽  
Low Noise

scholarly journals Towards hybrid pixel detectors for energy-dispersive or soft X-ray photon science

2016 ◽  
Vol 23 (2) ◽  
pp. 385-394 ◽  
Author(s):  
J. H. Jungmann-Smith ◽  
A. Bergamaschi ◽  
M. Brückner ◽  
S. Cartier ◽  
R. Dinapoli ◽  
...  
Keyword(s):  
Detection System ◽  
Low Noise ◽  
Energy Dispersive ◽  
Development Effort ◽  
Charge Sharing ◽  
X Ray ◽  
Pixel Detectors ◽  
Starting Point ◽  
Synchrotron Light ◽  
Photon Science

JUNGFRAU (adJUstiNg Gain detector FoR the Aramis User station) is a two-dimensional hybrid pixel detector for photon science applications at free-electron lasers and synchrotron light sources. The JUNGFRAU 0.4 prototype presented here is specifically geared towards low-noise performance and hence soft X-ray detection. The design, geometry and readout architecture of JUNGFRAU 0.4 correspond to those of other JUNGFRAU pixel detectors, which are charge-integrating detectors with 75 µm × 75 µm pixels. Main characteristics of JUNGFRAU 0.4 are its fixed gain and r.m.s. noise of as low as 27 e−electronic noise charge (<100 eV) with no active cooling. The 48 × 48 pixels JUNGFRAU 0.4 prototype can be combined with a charge-sharing suppression mask directly placed on the sensor, which keeps photons from hitting the charge-sharing regions of the pixels. The mask consists of a 150 µm tungsten sheet, in which 28 µm-diameter holes are laser-drilled. The mask is aligned with the pixels. The noise and gain characterization, and single-photon detection as low as 1.2 keV are shown. The performance of JUNGFRAU 0.4 without the mask and also in the charge-sharing suppression configuration (with the mask, with a `software mask' or a `cluster finding' algorithm) is tested, compared and evaluated, in particular with respect to the removal of the charge-sharing contribution in the spectra, the detection efficiency and the photon rate capability. Energy-dispersive and imaging experiments with fluorescence X-ray irradiation from an X-ray tube and a synchrotron light source are successfully demonstrated with an r.m.s. energy resolution of 20% (no mask) and 14% (with the mask) at 1.2 keV and of 5% at 13.3 keV. The performance evaluation of the JUNGFRAU 0.4 prototype suggests that this detection system could be the starting point for a future detector development effort for either applications in the soft X-ray energy regime or for an energy-dispersive detection system.

Design of Low-Noise, High-Density Signal Intelligent Detection System

2013 ◽  
Vol 380-384 ◽  
pp. 3882-3885
Author(s):  
Xiaoan Yang
Keyword(s):  
Phase Transition ◽  
Detection Method ◽  
Detection System ◽  
Low Noise ◽  
Weak Signal ◽  
High Effectiveness ◽  
Motion State ◽  
Intelligent Detection ◽  
Stable Performance ◽  
Engineering Practices

Using motion state of the equipment transducer to determine the presence of a weak signal is a common method of signal detection, whose core is to determine the system's phase change. There a many traditional ways to judge phase transition, but most of which have computational complexity and need a large amount of data which make them difficult to apply engineering practices. In order to solve these problems, this paper presents a detection method based on Lyapunov exponent classification with a small amount of data. This approach has some advantages such as requiring fewer observed values, small calculation amount, and able to automatically determine the phase transition without subjective factors involved etc. Experiments show that this method has stable performance, high effectiveness, strong practicality and promotion.

Low Noise Detection System Using a Silicon Photodiode with a Charge Integrating Amplifier

1995 ◽  
Vol 115 (2) ◽  
pp. 333-334
Author(s):  
Iwao Mizumoto ◽  
Shinzo Yamakawa ◽  
Shinro Mashiko ◽  
Nobumi Hagiwara
Keyword(s):  
Detection System ◽  
Low Noise ◽  
Noise Detection ◽  
Silicon Photodiode ◽  
A Charge

Low noise near infra-red detection system using InGaAs pin photodiode

1993 ◽  
Vol 29 (2) ◽  
pp. 234 ◽  
Author(s):  
I. Mizumoto ◽  
S. Mashiko
Keyword(s):  
Detection System ◽  
Low Noise ◽  
Pin Photodiode ◽  
Infra Red

Detection system of the intracellular nitric oxide in yeast by HPLC with a fluorescence detector

2020 ◽  
Vol 598 ◽  
pp. 113707
Author(s):  
Ryo Nasuno ◽  
Seiya Shino ◽  
Yuki Yoshikawa ◽  
Natsuko Yoshioka ◽  
Yuichi Sato ◽  
...  
Keyword(s):  
Nitric Oxide ◽  
Detection System ◽  
Fluorescence Detector

Design of Low-Noise and High-Density Signal Intelligent Detection System

2013 ◽  
Vol 760-762 ◽  
pp. 2229-2233
Author(s):  
Xiaoan Yang
Keyword(s):  
Phase Transition ◽  
Detection Method ◽  
Detection System ◽  
Low Noise ◽  
Weak Signal ◽  
High Effectiveness ◽  
Motion State ◽  
Intelligent Detection ◽  
Stable Performance ◽  
Engineering Practices

Using motion state of the equipment transducer to determine the presence of a weak signal is a common method of signal detection, whose core is to determine the system's phase change. There a many traditional ways to judge phase transition, but most of which have computational complexity and need a large amount of data which make them difficult to apply engineering practices. In order to solve these problems, this paper presents a detection method based on Lyapunov exponent classification with a small amount of data. This approach has some advantages such as requiring fewer observed values, small calculation amount, and able to automatically determine the phase transition without subjective factors involved etc. Experiments show that this method has stable performance, high effectiveness, strong practicality and promotion.

Three-Dimensional Micro-Displacement Control System for a Conductor Defect Detection System

2012 ◽  
Vol 588-589 ◽  
pp. 1431-1436 ◽  
Author(s):  
San Sheng Wang ◽  
Liu Bin Fan ◽  
Gong Chen ◽  
Tong He
Keyword(s):  
Magnetic Field ◽  
Control System ◽  
Detection System ◽  
Three Dimensional ◽  
Sample Surface ◽  
Low Noise ◽  
Central Processor ◽  
Displacement Control ◽  
Destructive Testing ◽  
Testing Technology

This paper proposes a method to detect conductor defects in the field of modern non-destructive testing technology. A self-magnetic field induced by flowing current in the conductor is used in the detection technique, and a three-dimensional micro-displacement stage platform is used to scan the sample surface to obtain the self-magnetic field mapping of the whole sample. The subsequent data processing and imaging technology of the detection signal is also developed. To achieve precise positioning of the triaxial directions, an STM32 microcontroller (MCU) is used as the central processor to design the displacement control system, which communicates with a PC computer through the MCU system. The experimental results demonstrate that the stepper motor driving the magnetic sensor could run uniformly and that the proposed system has the advantages of smooth motion, low noise and high precision. As a consequence, the micro-displacement control system can be used to get a clear mapping of the defects in the sample.

scholarly journals GaAs wideband low noise amplifier design for breast cancer detection system

2009 ◽  
Author(s):  
Lei Yan ◽  
Viktor Krozer ◽  
Sebastien Delcourt ◽  
Vitaliy Zhurbenko ◽  
Tom Keinicke Johansen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Detection System ◽  
Low Noise ◽  
Breast Cancer Detection ◽  
Low Noise Amplifier ◽  
Amplifier Design ◽  
Noise Amplifier
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