Phonon-mediated particle detection

1988 ◽  
Vol 35 (1) ◽  
pp. 65-69 ◽  
Author(s):  
B. Neuhauser ◽  
B. Cabrera ◽  
C.J. Martoff ◽  
B. Young ◽  
A. Lee
Keyword(s):  
Particle Detection

Electromagnetic waves

2018 ◽  
Author(s):  
Nathalie Deruelle ◽  
Jean-Philippe Uzan
Keyword(s):  
Plane Wave ◽  
Electromagnetic Waves ◽  
Maxwell Equations ◽  
Plane Waves ◽  
Geometrical Optics ◽  
Particle Detection ◽  
Spatial Coordinates ◽  
A Charge

This chapter examines solutions to the Maxwell equations in a vacuum: monochromatic plane waves and their polarizations, plane waves, and the motion of a charge in the field of a wave (which is the principle upon which particle detection is based). A plane wave is a solution of the vacuum Maxwell equations which depends on only one of the Cartesian spatial coordinates. The monochromatic plane waves form a basis (in the sense of distributions, because they are not square-integrable) in which any solution of the vacuum Maxwell equations can be expanded. The chapter concludes by giving the conditions for the geometrical optics limit. It also establishes the connection between electromagnetic waves and the kinematic description of light discussed in Book 1.

scholarly journals A Particle Detection Modeling of Non-contact Coplanar Differential Impedance Sensor in Microfluidic System

2018 ◽  
Vol 1144 ◽  
pp. 012180
Author(s):  
K Masaen ◽  
J Sanglao ◽  
P Chimsiri ◽  
R Techapiesancharoenkij ◽  
N Pussadee
Keyword(s):  
Microfluidic System ◽  
Particle Detection ◽  
Impedance Sensor

Particle detection from oriented nuclei at ISOLDE-CERN

1992 ◽  
Vol 313 (1-2) ◽  
pp. 215-218 ◽  
Author(s):  
J. Wouters ◽  
W. Vanderpoorten ◽  
P. De Moor ◽  
P. Schuurmans ◽  
L. Vanneste ◽  
...  
Keyword(s):  
Particle Detection

scholarly journals Photonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oils

Sensors ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 586 ◽  
Author(s):  
Jon Mabe ◽  
Joseba Zubia ◽  
Eneko Gorritxategi
Keyword(s):  
Low Cost ◽  
Wear Particle ◽  
Particle Detection ◽  
Line Wear ◽  
Micro Sensor

Angular Distribution of Rotons Generated by Alpha Particles in Superfluid Helium: A Possible Tool for Low Energy Particle Detection

1995 ◽  
Vol 74 (16) ◽  
pp. 3169-3172 ◽  
Author(s):  
S. R. Bandler ◽  
S. M. Brouër ◽  
C. Enss ◽  
R. E. Lanou ◽  
H. J. Maris ◽  
...  
Keyword(s):  
Angular Distribution ◽  
Superfluid Helium ◽  
Alpha Particles ◽  
Low Energy ◽  
Energy Particle ◽  
Particle Detection

Vertically Integrated Amorphous Silicon Particle Sensors

2004 ◽  
Vol 808 ◽  
Author(s):  
N. Wyrsch ◽  
C. Miazza ◽  
S. Dunand ◽  
A. Shah ◽  
D. Moraes ◽  
...  
Keyword(s):  
Amorphous Silicon ◽  
Material Properties ◽  
Dark Current ◽  
Silicon Particle ◽  
Particle Beam ◽  
High Energy ◽  
Beta Particle ◽  
Particle Detection ◽  
Glass Substrates ◽  
Hydrogenated Amorphous

ABSTRACTVertically integrated particle sensors have been developed using thin-film on ASIC technology. Hydrogenated amorphous silicon n-i-p diodes have been optimized for particle detection. These devices were first deposited on glass substrates to optimize the material properties and the dark current of very thick diodes (with thickness up to 50 m). Corresponding diodes were later directly deposited on two types of CMOS readout chips. These vertically integrated particle sensors were tested in beta particle beam from 63Ni and 90Sr sources. Detection of single low- and high- energy beta particle was achieved.

Study on the existence of the transportation particle tracking model in the interactive medium

2021 ◽  
pp. 2150256
Author(s):  
Mohamed Abd Allah El-Hadidy ◽  
Alaa A. Alzulaibani
Keyword(s):  
Waiting Time ◽  
Particle Tracking ◽  
Necessary Conditions ◽  
Particle Detection ◽  
Particle Tracking Model ◽  
Search Plan ◽  
Tracking Process ◽  
Unit Speed ◽  
Tracking Model ◽  
Interactive Medium

This paper assumes that the particle jumps randomly (Guassian jumps) from one point to another along one of the imaginary lines inside the interactive medium. Since this study was done in the space, we consider that the position of the particle at any time [Formula: see text] has a multivariate distribution. The random waiting time of the particle for each Gaussian jump depends on its length. An identical set of programed nanosensors (with unit speed) were used to track this particle. Each line has a sensor that starts the tracking process from the origin. The existence of the necessary conditions which give the optimal search plan and the minimum expected value of the particle detection has been proven. This study is supported by a numerical example.

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