Liu, J. and Sergatskov, D. A. and Duncan, R. V. (2007) Noise Immunity of High-Precision Low-Temperature Experiments. Journal of Low Temperature Physics, 148 (5-6). pp. 921-926. ISSN 0022-2291. doi:10.1007/s10909-007-9466-y. https://resolver.caltech.edu/CaltechAUTHORS:20191107-101833629
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Abstract
In the high-precision low-temperature experiments, noise immunity has long been an important issue. We consider the problem of measuring the slowly changing data in the presence of both white noise and sudden, short noise spikes. The Kalman filter is applied to attenuate the white noise and a spike detecting algorithm is applied to remove spikes resulting from the charged particles. Experimental data show that, with the Kalman filter, the RMS of the measurement noise in a 0.5 Hz bandwidth can be attenuated from 4 nK to 0.2 nK in the best case. A simple spike detecting algorithm worked effectively to remove spikes without increasing the random noise level.
| Item Type: | Article | |||||||||
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| Additional Information: | © 2007 Springer Science+Business Media, LLC. Published online: 30 May 2007. The authors would like to thank Dr. Richard A.M. Lee and Prof. David L. Goodstein for their assistance in this research. This research is supported by NASA under contract 960494. | |||||||||
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| Issue or Number: | 5-6 | |||||||||
| Classification Code: | PACS: 84.40.Xb; 84.40.Ua; 89.20.Ff; 89.20.Kk | |||||||||
| DOI: | 10.1007/s10909-007-9466-y | |||||||||
| Record Number: | CaltechAUTHORS:20191107-101833629 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20191107-101833629 | |||||||||
| Official Citation: | Liu, J., Sergatskov, D.A. & Duncan, R.V. J Low Temp Phys (2007) 148: 921. https://doi.org/10.1007/s10909-007-9466-y | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 99732 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | Tony Diaz | |||||||||
| Deposited On: | 07 Nov 2019 18:35 | |||||||||
| Last Modified: | 16 Nov 2021 17:48 |
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