Study of Fraunhofer Diffraction Pattern from a Circular Aperture Using an Optical Fiber Microprobe

2011 ◽  
Vol 378-379 ◽  
pp. 565-568
Author(s):  
Wan Maisarah Mukhtar ◽  
P. Susthitha Menon ◽  
Sahbudin Shaari
Keyword(s):  
Optical Fiber ◽  
Diffraction Pattern ◽  
Light Propagation ◽  
Optical Power ◽  
Transverse Motion ◽  
Circular Aperture ◽  
Fraunhofer Diffraction ◽  
Fresnel Number ◽  
Function Profile ◽  
Effect Of Light

Fraunhofer diffraction pattern from a circular aperture with the diameter of 10µm was observed using an optical fiber microprobe. The optical fiber microprobe started to detect optical power when the distance between the probe and the circular aperture was more than 292µm. When the probe was moved in a lateral motion, the light propagation showed a Bessel function profile. When the optical fiber microprobe was moved from 293µm to 309µm from the centre of the circular aperture in a transverse motion, the power detected was not consistent with a continuation of maxima and minima due to the effect of light propagation from the circular aperture. We also observed that the distance between the probe and the centre of the circular aperture was directly proportional with the radius of focused spot and inversely proportional with the Fresnel number.

Light Propagation Considerations For Internally Clad Sapphire Optical Fiber Using the 6Li(n,)3H Reaction

2021 ◽  
pp. 1-1
Author(s):  
Joshua Tyler Jones ◽  
Anthony Birri ◽  
Thomas E Blue ◽  
Dan Kominsky ◽  
Kelly M Mccary ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Light Propagation

An Optical Fiber Sensing Network Supporting Weak Optical Signal Detection and a Neural Network Method for Information Collection

2021 ◽  
Vol 16 (2) ◽  
pp. 188-195
Author(s):  
Keyuan Liu ◽  
Haibin Li ◽  
Ya Wang
Keyword(s):  
Neural Network ◽  
Optical Fiber ◽  
Signal Detection ◽  
Mobile Phone ◽  
Optical Power ◽  
Information Collection ◽  
Identification System ◽  
Power Meter ◽  
Fiber Sensing ◽  
Optical Fiber Sensing

The weak direct current (DC) signals detected and converted by the photodetector are output to the mobile phone by voltage/frequency switching, and the signals are processed by the mobile phone APP and audio conversion module. The photodetector is equipped with the automatic switching function to design an optical power meter and detect weak signals. Meanwhile, the optical cable identification system is analyzed and combined with the optical power meter to generate an optical fiber sensing network to improve the weak alternating current (AC) signal detection. This network needs data fusion in sensor nodes’ data collection. The cluster routing protocol is introduced and combined with the back propagation neural network (BPNN) to propose a method suitable for this photoelectric transmission and improve the information fusion and accuracy. In the experiment, the optical power meter is output in gears first, and the output waveforms are normal. The photodiode’s optical power is adjusted to obtain different frequencies on the oscilloscope. In the proposed optical fiber sensing network, weak AC signals are amplified significantly, and different optical fiber lines can be distinguished in the optical cables. The proposed information collection method can reduce network communication and node energy consumption.

Phase retrieval from a single near-field diffraction pattern with a large Fresnel number

2008 ◽  
Vol 25 (11) ◽  
pp. 2651 ◽  
Author(s):  
Enrong Li ◽  
Yijin Liu ◽  
Xiaosong Liu ◽  
Kai Zhang ◽  
Zhili Wang ◽  
...  
Keyword(s):  
Diffraction Pattern ◽  
Phase Retrieval ◽  
Near Field ◽  
Fresnel Number

A new spectroscopic method using the Fraunhofer diffraction pattern

1984 ◽  
Vol 5 (7) ◽  
pp. 985-996 ◽  
Author(s):  
Bao-chang Zhao ◽  
Masato Tazawa ◽  
Atsuo Kitade ◽  
Kunio Yoshihara
Keyword(s):  
Diffraction Pattern ◽  
Spectroscopic Method ◽  
Fraunhofer Diffraction

scholarly journals Adaptive Noise Cancellation of an Analog Fiber Optic Link

2021 ◽  
Author(s):  
Mohammad Nazrul Islam
Keyword(s):  
Optical Fiber ◽  
Fiber Optic ◽  
Signal To Noise Ratio ◽  
Optical Power ◽  
Noise Cancellation ◽  
Adaptive Noise Cancellation ◽  
Fiber Link ◽  
The Mean ◽  
Simulation Results ◽  
Adaptive Noise

There are three dominant noise mechanisms in an analog optical fiber link. These are shot noise that is proportional to the mean optical power, relative intensity noise (RIN) that is proportional to the square of the instanteaneous optical power. This report describes an adaptive noise cancellation of these dominant noise processes that persist an analog optical fiber link. The performance of an analog optical fiber link is analyzed by taking the effects of these noise processes. Analytical and simulation results show that some improvement in signal to noise ratio (SNR) and this filter is effective to remove noise adaptively from the optical fiber link.

scholarly journals Potentialities of the digital holography in the study of the Fraunhofer diffraction pattern of microscopic objects

2011 ◽  
Vol 274 ◽  
pp. 012067 ◽  
Author(s):  
J O Ricardo ◽  
M Muramatsu ◽  
F Palacios ◽  
M Gesualdi ◽  
O Font ◽  
...  
Keyword(s):  
Diffraction Pattern ◽  
Digital Holography ◽  
Fraunhofer Diffraction
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