New measuring method of fiber alignment in precision torsion pendulum experiments

被引:2
作者
Wang, Bing-Jie [1 ]
Xu, Li [1 ]
Zeng, Wei-You [1 ]
Wang, Qing-Lan [1 ]
机构
[1] Hubei Univ Automot & Technol, Coll Sci, Shiyan 442002, Peoples R China
基金
中国国家自然科学基金;
关键词
torsion pendulum; alignment; CCD camera; EDGE;
D O I
10.1088/1674-1056/ab969d
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Testing the extreme weak gravitational forces between torsion pendulum and surrounding objects will indicate new physics which attracts many interests. In these measurements, the fiber alignment plays a crucial role in fulfilling high precision placement measurement, especially in measuring the deviation between the fiber and source mass or other objects. The traditional way of the fiber alignment requires to measure the component of the pendulum body and then transfer to the torsion fiber by some complicated calculations. A new method is reported here by using a CCD camera to get the projection image of the torsion fiber, which is a direct and no-contact measurement. Furthermore, the relative position change of the torsion fiber can also be monitored during the experiment. In our experiment, the alignment between the fiber and the center of the turntable has been operated as an example. Our result reaches the accuracy of several micrometers which is higher than the previous method.
引用
收藏
页数:6
相关论文
共 24 条
[1]   Torsion balance experiments: A low-energy frontier of particle physics [J].
Adelberger, E. G. ;
Gundlach, J. H. ;
Heckel, B. R. ;
Hoedl, S. ;
Schlamminger, S. .
PROGRESS IN PARTICLE AND NUCLEAR PHYSICS, VOL 62, NO 1, 2009, 62 (01) :102-134
[2]  
[Anonymous], 2013, THESIS
[3]   Approaching Free Fall on Two Degrees of Freedom: Simultaneous Measurement of Residual Force and Torque on a Double Torsion Pendulum [J].
Bassan, M. ;
Cavalleri, A. ;
De Laurentis, M. ;
De Marchi, F. ;
De Rosa, R. ;
Di Fiore, L. ;
Dolesi, R. ;
Finetti, N. ;
Garufi, F. ;
Grado, A. ;
Hueller, M. ;
Marconi, L. ;
Milano, L. ;
Pucacco, G. ;
Stanga, R. ;
Visco, M. ;
Vitale, S. ;
Weber, W. J. .
PHYSICAL REVIEW LETTERS, 2016, 116 (05)
[4]   An Improved Canny Edge Detection Algorithm Based on Type-2 Fuzzy Sets [J].
Biswas, Ranita ;
Sil, Jaya .
2ND INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION, CONTROL AND INFORMATION TECHNOLOGY (C3IT-2012), 2012, 4 :820-824
[5]  
Blackledge J., 2005, Digital Image Processing: Mathematical and Computational Methods, DOI DOI 10.1533/9780857099464
[6]  
Born M., 2005, Principles of Optics, V7th ed.
[8]  
Ciani G, 2008, THESIS
[9]   A new torsion pendulum for gravitational reference sensor technology development [J].
Ciani, Giacomo ;
Chilton, Andrew ;
Apple, Stephen ;
Olatunde, Taiwo ;
Aitken, Michael ;
Mueller, Guido ;
Conklin, John W. .
REVIEW OF SCIENTIFIC INSTRUMENTS, 2017, 88 (06)
[10]   Research on the improvement of image edge detection algorithm based on artificial neural network [J].
Gu, Jinan ;
Pan, Yuelong ;
Wang, Hongmei .
OPTIK, 2015, 126 (21) :2974-2978