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Determination of the thermal noise limit in test of weak equivalence principle with a rotating torsion pendulum
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作者 占文泽 罗杰 +3 位作者 邵成刚 郑第 殷蔚明 王典洪 《Chinese Physics B》 SCIE EI CAS CSCD 2017年第9期56-61,共6页
Thermal noise is one of the most fundamental limits to the sensitivity in weak equivalence principle test with a rotating torsion pendulum. Velocity damping and internal damping are two of many contributions at the th... Thermal noise is one of the most fundamental limits to the sensitivity in weak equivalence principle test with a rotating torsion pendulum. Velocity damping and internal damping are two of many contributions at the thermal noise, and which one mainly limits the torsion pendulum in low frequency is difficult to be verified by experiment. Based on the conventional method of fast Fourier transform, we propose a developed method to determine the thermal noise limit and then obtain the precise power spectrum density of the pendulum motion signal. The experiment result verifies that the thermal noise is mainly contributed by the internal damping in the fiber in the low frequency torsion pendulum experiment with a high vacuum. Quantitative data analysis shows that the basic noise level in the experiment is about one to two times of the theoretical value of internal damping thermal noise. 展开更多
关键词 weak equivalence principle torsion pendulum thermal noise limit internal damping
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A Restarted Conjugate Gradient Method for Ill-posed Problems 被引量:2
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作者 Yan-fei WangLaboratory of Remote Sensing Information Sciences, Institute of Remote Sensing Applications, Chinese Academy of Sciences, P.O. Box 9718, Beijing 100101, ChinaState Key Laboratory of Scientific and Engineering Computing, Institute of Computational Mathematics and Scientific/Engineering computing, Chinese Academy of Sciences, P.O. Box 2719, Beijing 100080, China 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2003年第1期31-40,共10页
Abstract This paper presents a restarted conjugate gradient iterative algorithm for solving ill-posed problems. The damped Morozov's discrepancy principle is used as a stopping rule. Numerical experiments are give... Abstract This paper presents a restarted conjugate gradient iterative algorithm for solving ill-posed problems. The damped Morozov's discrepancy principle is used as a stopping rule. Numerical experiments are given to illustrate the efficiency of the method. 展开更多
关键词 Keywords Ill-posed problems restarted CG damped discrepancy principle.
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