Bayesian statistics for the calibration of the LISA Pathfinder experiment

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dc.identifier.uri http://dx.doi.org/10.15488/404
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/427
dc.contributor.author Armano, M.
dc.contributor.author Audley, H.
dc.contributor.author Auger, G.
dc.contributor.author Binetruy, P.
dc.contributor.author Born, Michael
dc.contributor.author Bortoluzzi, D.
dc.contributor.author Brandt, N.
dc.contributor.author Bursi, A.
dc.contributor.author Caleno, M.
dc.contributor.author Cavalleri, A.
dc.contributor.author Cesarini, A.
dc.contributor.author Cruise, M.
dc.contributor.author Danzmann, Karsten
dc.contributor.author Diepholz, I.
dc.contributor.author Dolesi, R.
dc.contributor.author Dunbar, N.
dc.contributor.author Ferraioli, L.
dc.contributor.author Ferroni, V.
dc.contributor.author Fitzsimons, E.
dc.contributor.author Freschi, M.
dc.contributor.author Garcia Marirrodriga, C.
dc.contributor.author Gerndt, R.
dc.contributor.author Gesa, L.I.
dc.contributor.author Gibert, F.
dc.contributor.author Giardini, D.
dc.contributor.author Giusteri, R.
dc.contributor.author Grimani, C.
dc.contributor.author Harrison, I.
dc.contributor.author Heinzel, Gerhard
dc.contributor.author Hewitson, M.
dc.contributor.author Hollington, D.
dc.contributor.author Hueller, M.
dc.contributor.author Huesler, J.
dc.contributor.author Inchauspe, H.
dc.contributor.author Jennrich, O.
dc.contributor.author Jetzer, P.
dc.contributor.author Johlander, B.
dc.contributor.author Karnesis, N.
dc.contributor.author Kaune, B.
dc.contributor.author Korsakova, N.
dc.contributor.author Killow, C.
dc.contributor.author Lloro, I.
dc.contributor.author Maarschalkerweerd, R.
dc.contributor.author Madden, S.
dc.contributor.author Mance, D.
dc.contributor.author Martin, V.
dc.contributor.author Martin-Porqueras, F.
dc.contributor.author Mateos, I.
dc.contributor.author McNamara, P.
dc.contributor.author Mendes, J.
dc.contributor.author Mitchell, E.
dc.contributor.author Moroni, A.
dc.contributor.author Nofrarias, M.
dc.contributor.author Paczkowski, S.
dc.contributor.author Perreur-Lloyd, M.
dc.contributor.author Pivato, P.
dc.contributor.author Plagnol, E.
dc.contributor.author Prat, P.
dc.contributor.author Ragnit, U.
dc.contributor.author Ramos-Castro, J.
dc.contributor.author Reiche, J.
dc.contributor.author Romera Perez, J.A.
dc.contributor.author Robertson, D.
dc.contributor.author Rozemeijer, H.
dc.contributor.author Russano, G.
dc.contributor.author Sarra, P.
dc.contributor.author Schleicher, A.
dc.contributor.author Slutsky, J.
dc.contributor.author Sopuerta, C.F.
dc.contributor.author Sumner, T.
dc.contributor.author Texier, D.
dc.contributor.author Thorpe, J.
dc.contributor.author Trenkel, C.
dc.contributor.author Tu, H.B.
dc.contributor.author Vitale, S.
dc.contributor.author Wanner, G.
dc.contributor.author Ward, H.
dc.contributor.author Waschke, S.
dc.contributor.author Wass, P.
dc.contributor.author Wealthy, D.
dc.contributor.author Wen, S.
dc.contributor.author Weber, W.
dc.contributor.author Wittchen, A.
dc.contributor.author Zanoni, C.
dc.contributor.author Ziegler, T.
dc.contributor.author Zweifel, P.
dc.date.accessioned 2016-08-12T08:59:21Z
dc.date.available 2016-08-12T08:59:21Z
dc.date.issued 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: http://dx.doi.org/10.1088/1742-6596/610/1/012027
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.rights.uri https://creativecommons.org/licenses/by/3.0/de/
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.relation.doi http://dx.doi.org/10.1088/1742-6596/610/1/012027
dc.bibliographicCitation.volume 610
dc.bibliographicCitation.firstPage 12027
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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