Bayesian statistics for the calibration of the LISA Pathfinder experiment

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dc.identifier.uri Armano, M. Audley, H. Auger, G. Binetruy, P. Born, Michael Bortoluzzi, D. Brandt, N. Bursi, A. Caleno, M. Cavalleri, A. Cesarini, A. Cruise, M. Danzmann, Karsten Diepholz, I. Dolesi, R. Dunbar, N. Ferraioli, L. Ferroni, V. Fitzsimons, E. Freschi, M. Garcia Marirrodriga, C. Gerndt, R. Gesa, L.I. Gibert, F. Giardini, D. Giusteri, R. Grimani, C. Harrison, I. Heinzel, Gerhard Hewitson, M. Hollington, D. Hueller, M. Huesler, J. Inchauspe, H. Jennrich, O. Jetzer, P. Johlander, B. Karnesis, N. Kaune, B. Korsakova, N. Killow, C. Lloro, I. Maarschalkerweerd, R. Madden, S. Mance, D. Martin, V. Martin-Porqueras, F. Mateos, I. McNamara, P. Mendes, J. Mitchell, E. Moroni, A. Nofrarias, M. Paczkowski, S. Perreur-Lloyd, M. Pivato, P. Plagnol, E. Prat, P. Ragnit, U. Ramos-Castro, J. Reiche, J. Romera Perez, J.A. Robertson, D. Rozemeijer, H. Russano, G. Sarra, P. Schleicher, A. Slutsky, J. Sopuerta, C.F. Sumner, T. Texier, D. Thorpe, J. Trenkel, C. Tu, H.B. Vitale, S. Wanner, G. Ward, H. Waschke, S. Wass, P. Wealthy, D. Wen, S. Weber, W. Wittchen, A. Zanoni, C. Ziegler, T. Zweifel, P. 2016-08-12T08:59:21Z 2016-08-12T08:59:21Z 2015
dc.identifier.citation Armano, M.; Audley, H.; Auger, G.; Binetruy, P.; Born, M. et al.: A Bayesian statistics for the calibration of the LISA Pathfinder experiment. In: Journal of Physics Conference Series 610 (2015), 12027. DOI:
dc.description.abstract The main goal of LISA Path finder (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. eng
dc.description.sponsorship AYA-2010-15709
dc.description.sponsorship 2009-SGR-935
dc.language.iso eng
dc.publisher Bristol : IOP Publishing Ltd.
dc.relation.ispartofseries Journal of Physics Conference Series 610 (2015)
dc.rights CC BY 3.0 Unported
dc.subject LISA Pathfinder eng
dc.subject Astronomy eng
dc.subject Astrophysics eng
dc.subject Physics, Applied eng
dc.subject.ddc 500 | Naturwissenschaften ger
dc.subject.ddc 530 | Physik ger
dc.title Bayesian statistics for the calibration of the LISA Pathfinder experiment eng
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.essn 1742-6596
dc.relation.issn 1742-6588
dc.bibliographicCitation.volume 610
dc.bibliographicCitation.firstPage 12027
dc.description.version publishedVersion
tib.accessRights frei zug�nglich

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