Comparison of DFB laser linewidth measurement techniques: results from COST 215 round robin

1990 ◽  
Vol 26 (24) ◽  
pp. 2018 ◽  
Author(s):  
M.O. van Deventer ◽  
P. Spano ◽  
S.K. Nielsen
Keyword(s):  
Measurement Techniques ◽  
Round Robin ◽  
Laser Linewidth ◽  
Dfb Laser ◽  
Linewidth Measurement

Sub-kilohertz laser linewidth measurement using a loss-compensated recirculating self-heterodyne method with short fiber

2021 ◽  
Author(s):  
Jing Gao ◽  
Dongdong Jiao ◽  
Jie Liu ◽  
Xue Deng ◽  
ruifang Dong ◽  
...  
Keyword(s):  
Short Fiber ◽  
Laser Linewidth ◽  
Heterodyne Method ◽  
Linewidth Measurement

Laser Linewidth Measurement Based on System Parameters Insensitive Recirculating Delayed Self-Heterodyne Interferometer

2016 ◽  
Vol 36 (11) ◽  
pp. 1114001
Author(s):  
陈玖朋 Chen Jiupeng ◽  
高静 Gao Jing ◽  
焦东东 Jiao Dongdong ◽  
白巍凯 Bai Weikai ◽  
邓雪 Deng Xue ◽  
...  
Keyword(s):  
Laser Linewidth ◽  
Heterodyne Interferometer ◽  
System Parameters ◽  
Linewidth Measurement

scholarly journals Pulsed laser linewidth measurement using Fabry–Pérot scanning interferometer

2016 ◽  
Vol 6 ◽  
pp. 698-703 ◽  
Author(s):  
Junwen Xue ◽  
Wei Chen ◽  
Ying Pan ◽  
Jinqian Shi ◽  
Yujie Fang ◽  
...  
Keyword(s):  
Pulsed Laser ◽  
Laser Linewidth ◽  
Fabry Perot ◽  
Scanning Interferometer ◽  
Linewidth Measurement

Influence of nonlinear gain on DFB laser linewidth

1990 ◽  
Vol 26 (14) ◽  
pp. 1074 ◽  
Author(s):  
X. Pan ◽  
H. Olesen ◽  
B. Tromborg
Keyword(s):  
Laser Linewidth ◽  
Nonlinear Gain ◽  
Dfb Laser

scholarly journals The instantaneous linewidth measurement of DFB laser with ultrashort delay

2013 ◽  
Vol 62 (17) ◽  
pp. 174208
Author(s):  
An Ying ◽  
Du Zhen-Hui ◽  
Xu Ke-Xin
Keyword(s):  
Dfb Laser ◽  
Linewidth Measurement

Problems in the Averaging of Neutron Diffraction Stress Data from Round-Robin Campaigns

2008 ◽  
Vol 571-572 ◽  
pp. 283-288 ◽  
Author(s):  
Robert C. Wimpory ◽  
Carsten Ohms ◽  
Michael Hofmann ◽  
Rainer Schneider ◽  
A.G. Youtsos
Keyword(s):  
Residual Stress ◽  
Neutron Diffraction ◽  
Measurement Techniques ◽  
Measurement Data ◽  
Systematic Errors ◽  
Round Robin ◽  
Error Bar ◽  
Data Points ◽  
Outlier Data ◽  
Few Data

In recent years the use of a special Bayesian approach on averaging ‘round-robin’ residual stress data has been implemented. This averaging approach is useful in that it copes with the situation where systematic errors have occurred in one or more of the measurements and thus diminishes the influence of these particular ‘wrong value’ outlier data points. The analyses not only take into account the measurand value, but also the uncertainties associated with each measurand. It should deal with data that may contain individual members with uncertainties larger than the stated error and assumes that the quoted error bar is only a lower bound on the uncertainty. This work shows what could happen when there is a ‘strong mismatch’ in uncertainties when averaging over a limited amount of data. It has been observed that in a case where there are few data points (for example 5 or less), a strong bias can occur towards data points with a relatively small quoted uncertainty compared to other data points with larger quoted uncertainties. A ‘mismatch’ in uncertainty quotation can arise when averaging very good data with poorer data or when averaging with data obtained from other measurement techniques. This effect is demonstrated in this work by using fictitious data and also based on the example of real measurement data obtained by neutron diffraction.

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