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Download statistics - Document (COUNTER):
Armano, M.; Audley, H.; Auger, G.; Binetruy, P.; Born, M. et al.: Bayesian statistics for the calibration of the LISA Pathfinder experiment. In: Journal of Physics: Conference Series 610 (2015), Nr. 1, 12027. DOI: https://doi.org/10.1088/1742-6596/610/1/012027
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Sum total of downloads: 110
| Abstract: | |
The main goal of LISA Pathfinder (LPF) mission is to estimate the acceleration noise models of the overall LISA Technology Package (LTP) experiment on-board. This will be of crucial importance for the future space-based Gravitational-Wave (GW) detectors, like eLISA. Here, we present the Bayesian analysis framework to process the planned system identification experiments designed for that purpose. In particular, we focus on the analysis strategies to predict the accuracy of the parameters that describe the system in all degrees of freedom. The data sets were generated during the latest operational simulations organised by the data analysis team and this work is part of the LTPDA Matlab toolbox. | |
| License of this version: | CC BY 3.0 Unported |
| Document Type: | Article |
| Publishing status: | publishedVersion |
| Issue Date: | 2015 |
| Appears in Collections: | An-Institute |
distribution of downloads over the selected time period:
downloads by country:
| pos. | country | downloads | ||
|---|---|---|---|---|
| total | perc. | |||
| 1 |  |
Germany | 41 | 37.27% |
| 2 |  |
United States | 28 | 25.45% |
| 3 |  |
China | 11 | 10.00% |
| 4 |  |
Ireland | 4 | 3.64% |
| 5 |  |
United Kingdom | 4 | 3.64% |
| 6 |  |
Australia | 4 | 3.64% |
| 7 |  |
France | 3 | 2.73% |
| 8 |  |
No geo information available | 2 | 1.82% |
| 9 |  |
New Zealand | 2 | 1.82% |
| 10 |  |
Denmark | 2 | 1.82% |
| other countries | 9 | 8.18% | ||
Further download figures and rankings:
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