A triple-drain MOSFET magnetic-field sensor

1985 ◽  
Vol 63 (6) ◽  
pp. 695-698 ◽  
Author(s):  
A. Nathan ◽  
A. M. J. Huiser ◽  
H. P. Baltes ◽  
H. G. Schmidt-Weinmar
Keyword(s):  
Magnetic Field ◽  
Surface Charge ◽  
Signal To Noise Ratio ◽  
Magnetic Field Sensor ◽  
Two Dimensional ◽  
Signal To Noise ◽  
Linear Region ◽  
Field Sensor ◽  
Device Geometry ◽  
Noise Ratio

The two-dimensional distributions of the potential, current, and surface charge for a magnetic-field-sensitive N-channel MOSFET have been computed numerically. The MOSFET is operated in the linear region and is based on a triple-drain configuration. The sensitivity as well as the signal-to-noise ratio is studied for a variety of channel geometries, and an optimal device geometry is presented.

Signal-to-noise ratio enhancement of a Hadamard transform spectrometer using a two-dimensional slit-array

2017 ◽  
Vol 56 (25) ◽  
pp. 7188 ◽  
Author(s):  
Mingbo Chi ◽  
Yihui Wu ◽  
Fang Qian ◽  
Peng Hao ◽  
Wenchao Zhou ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
Hadamard Transform ◽  
Two Dimensional ◽  
Signal To Noise ◽  
Noise Ratio

scholarly journals Two-Dimensional Magnetic Field Sensor Based on Silicon Magnetic Sensitive Transistors with Differential Structure

Micromachines ◽  
2017 ◽  
Vol 8 (4) ◽  
pp. 95 ◽  
Author(s):  
Xianghong Yang ◽  
Xiaofeng Zhao ◽  
Yunjia Bai ◽  
Meiwei Lv ◽  
Dianzhong Wen
Keyword(s):  
Magnetic Field ◽  
Magnetic Field Sensor ◽  
Two Dimensional ◽  
Differential Structure ◽  
Field Sensor

scholarly journals Signal-to-noise ratio, T2 , and T2* for hyperpolarized helium-3 MRI of the human lung at three magnetic field strengths

2016 ◽  
Vol 78 (4) ◽  
pp. 1458-1463 ◽  
Author(s):  
Peter Komlosi ◽  
Talissa A. Altes ◽  
Kun Qing ◽  
Karen E. Mooney ◽  
G. Wilson Miller ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Human Lung ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Hyperpolarized Helium ◽  
Helium 3 ◽  
Noise Ratio ◽  
Field Strengths

scholarly journals Design and Research of Inductive Oil Pollutant Detection Sensor Based on High Gradient Magnetic Field Structure

Micromachines ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 638
Author(s):  
Wei Li ◽  
Chenzhao Bai ◽  
Chengjie Wang ◽  
Hongpeng Zhang ◽  
Lebile Ilerioluwa ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Signal To Noise Ratio ◽  
Detection Accuracy ◽  
Iron Particles ◽  
Signal To Noise ◽  
Gradient Magnetic Field ◽  
High Gradient ◽  
Copper Particles ◽  
Pollutant Detection ◽  
Noise Ratio

An inductive oil pollutant detection sensor based on a high-gradient magnetic field structure is designed in this paper, which is mainly used for online detection and fault analysis of pollutants in hydraulic and lubricating oil systems. The innovation of the sensor is based on the inductance detection method. Permalloy is embedded in the sensing region of the sensor, so that the detection area generates a high gradient magnetic field to enhance the detection accuracy of the sensor. Compared with traditional inductive sensors, the sensor has a significant improvement in detection accuracy, and the addition of permalloy greatly improves the stability of the sensor’s detection unit structure. The article theoretically analyzes the working principle of the sensor, optimizes the design parameters and structure of the sensor through simulation, determines the best permalloy parameters, and establishes an experimental system for verification. Experimental results show that when a piece of permalloy is added to the sensing unit, the signal-to-noise ratio (SNR) of iron particles is increased by more than 20%, and the signal-to-noise ratio of copper particles is increased by more than 70%. When two pieces of permalloy are added, the signal-to-noise ratio for iron particles is increased by more than 70%, and the SNR for copper particles is increased several times. This method raises the lower limit of detection for ferromagnetic metal particles to 20 μm, and the lower limit for detection of non-ferromagnetic metal particles to 80 μm, which is the higher detection accuracy of the planar coil sensors. This paper provides a new and faster online method for pollutant detection in oil, which is of great significance for diagnosing and monitoring the health of oil in mechanical systems.

scholarly journals Multiparametric approach to the assessment of muon tomographic results for the inspection of a full-scale container

2021 ◽  
Vol 136 (1) ◽  
Author(s):  
F. Riggi ◽  
M. Bandieramonte ◽  
U. Becciani ◽  
D. L. Bonanno ◽  
G. Bonanno ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
Single Scattering ◽  
Full Scale ◽  
Experimental Results ◽  
Two Dimensional ◽  
Signal To Noise ◽  
Scattering Angle ◽  
Multiparametric Analysis ◽  
Noise Ratio ◽  
Cargo Containers

AbstractExperimental results from a dataset collected with a full-scale muon tomograph for the inspection of cargo containers were studied in a single scattering scenario with a multiparametric analysis based on the method of the Point Of Closest Approach (Poca). To search for high-Z materials, a 4 $$\hbox {dm}^3$$ dm 3 Pb block was positioned inside the volume to be inspected, in order to quantitatively investigate the appearance of the Poca signal. Signal-to-noise ratio and significance of the Poca signal were investigated by means of mono-dimensional spectra of the Poca components, for different values of the scattering angle between the incoming and outgoing muon tracks and with different angle-dependent weights. A systematic scan of two-dimensional maps was also carried out, as a strategy to search for possible enhancements to the Poca signal. A comparison was also done between the results obtained from the two half-volumes, one containing the Pb block and one left empty, to take into account the response of the detector and some aspects of the Poca strategy.

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