Bayesian statistics for the calibration of the LISA Pathfinder experiment

Armano, M.; Audley, H.; Auger, G.; Binetruy, P.; Born, M.; 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.; Marirrodriga, C.G.; Gerndt, R.; Gesa, L.; Gibert, F.; Giardini, D.; Giusteri, R.; Grimani, C.; Harrison, I.; Heinzel, G.; Hewitson, M.; Hollington, D.; Hueller, M.; Huesler, J.; Inchauspé, 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.; Perez, J.A.R.; 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.

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dc.identifier.uri	http://dx.doi.org/10.15488/4040
dc.identifier.uri	https://www.repo.uni-hannover.de/handle/123456789/4074
dc.contributor.author	Armano, M.
dc.contributor.author	Audley, H.
dc.contributor.author	Auger, G.
dc.contributor.author	Binetruy, P.
dc.contributor.author	Born, M.
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	Marirrodriga, C.G.
dc.contributor.author	Gerndt, R.
dc.contributor.author	Gesa, L.
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, G.
dc.contributor.author	Hewitson, M.
dc.contributor.author	Hollington, D.
dc.contributor.author	Hueller, M.
dc.contributor.author	Huesler, J.
dc.contributor.author	Inchauspé, 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	Perez, J.A.R.
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	2018-11-27T08:24:22Z
dc.date.available	2018-11-27T08:24:22Z
dc.date.issued	2015
dc.identifier.citation	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
dc.description.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.	eng
dc.language.iso	eng
dc.publisher	Bristol : Institute of Physics Publishing
dc.relation.ispartofseries	Journal of Physics: Conference Series 610 (2015), Nr. 1
dc.rights	CC BY 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by/3.0/
dc.subject	Degrees of freedom (mechanics)	eng
dc.subject	Gravity waves	eng
dc.subject	MATLAB	eng
dc.subject	Analysis strategies	eng
dc.subject	Bayesian Analysis	eng
dc.subject	Bayesian statistics	eng
dc.subject	Gravitational wave detectors	eng
dc.subject	LISA Pathfinder	eng
dc.subject	Lisa technology packages	eng
dc.subject	Matlab toolboxes	eng
dc.subject	Operational simulations	eng
dc.subject	Space probes	eng
dc.subject.classification	Konferenzschrift	ger
dc.subject.ddc	530 \| Physik	ger
dc.title	Bayesian statistics for the calibration of the LISA Pathfinder experiment
dc.type	Article
dc.type	Text
dc.relation.issn	1742-6588
dc.relation.doi	https://doi.org/10.1088/1742-6596/610/1/012027
dc.bibliographicCitation.issue	1
dc.bibliographicCitation.volume	610
dc.bibliographicCitation.firstPage	012027
dc.description.version	publishedVersion
tib.accessRights	frei zug�nglich