Bayesian statistics for the calibration of the LISA Pathfinder experiment

10th International LISA Symposium

Armano, M.^1 ; Audley, H.^2 ; Auger, G.^3 ; Binetruy, P.^3 ; Born, M.^2 ; Bortoluzzi, D.^4,7 ; Brandt, N.^5 ; Bursi, A.^19 ; Caleno, M.^6 ; Cavalleri, A.^7 ; Cesarini, A.^7 ; Cruise, M.^8 ; Danzmann, K.^2 ; Diepholz, I.^2 ; Dolesi, R.^7 ; Dunbar, N.^9 ; Ferraioli, L.^10 ; Ferroni, V.^7 ; Fitzsimons, E.^5 ; Freschi, M.^1 ; Marirrodriga, C. García^6 ; Gerndt, R.^5 ; Gesa, L.^11 ; Gibert, F.^11 ; Giardini, D.^10 ; Giusteri, R.^7 ; Grimani, C.^12 ; Harrison, I.^13 ; Heinzel, G.^2 ; Hewitson, M.^2 ; Hollington, D.^14 ; Hueller, M.^7 ; Huesler, J.^6 ; Inchauspé, H.^3 ; Jennrich, O.^6 ; Jetzer, P.^15 ; Johlander, B.^6 ; Karnesis, N.^11 ; Kaune, B.^2 ; Korsakova, N.^2 ; Killow, C.^16 ; Lloro, I.^11 ; Maarschalkerweerd, R.^13 ; Madden, S.^6 ; Mance, D.^10 ; Martin, V.^11 ; Martin-Porqueras, F.^1 ; Mateos, I.^11 ; McNamara, P.^6 ; Mendes, J.^13 ; Mitchell, E.^14 ; Moroni, A.^19 ; Nofrarias, M.^11 ; Paczkowski, S.^2 ; Perreur-Lloyd, M.^16 ; Pivato, P.^7 ; Plagnol, E.^3 ; Prat, P.^3 ; Ragnit, U.^6 ; Ramos-Castro, J.^17 ; Reiche, J.^2 ; Perez, J. A. Romera^6 ; Robertson, D.^16 ; Rozemeijer, H.^6 ; Russano, G.^7 ; Sarra, P.^19 ; Schleicher, A.^5 ; Slutsky, J.^18 ; Sopuerta, C.F.^11 ; Sumner, T.^14 ; Texier, D.^1 ; Thorpe, J.^18 ; Trenkel, C.^9 ; Tu, H.B.^7 ; Vitale, S.^7 ; Wanner, G.^2 ; Ward, H.^16 ; Waschke, S.^14 ; Wass, P.^14 ; Wealthy, D.^9 ; Wen, S.^7 ; Weber, W.^7 ; Wittchen, A.^2 ; Zanoni, C.^4 ; Ziegler, T.^5 ; Zweifel, P.^10

European Space Astronomy Centre, European Space Agency, Villanueva-de-la-Cañada, Madrid

28692, Spain^1

Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik, Universität Hannover, Hannover

30167, Germany^2

APC UMR7164, Université Paris Diderot, Paris, France^3

Department of Industrial Engineering, University of Trento, via Sommarive 9, Trento

38123, Italy^4

Airbus Defence and Space, Claude-Dornier-Strasse, Immenstaad

88090, Germany^5

European Space Technology Centre, European Space Agency, Keplerlaan 1, Noordwijk

2200 AG, Netherlands^6

Dipartimento di Fisica, Universita di Trento, Trento Institute for Fundamental Physics and Application / INFN, Povo, Trento

38123, Italy^7

Department of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom^8

Airbus Defence and Space, Gunnels Wood Road, Hertfordshire, Stevenage

SG1 2AS, United Kingdom

(10) Institut für Geophysik, ETH Zürich, Sonneggstrasse 5, Zürich

CH-8092, Switzerland

(11) ICE-CSIC/IEEC, Facultat de Ciències, Bellaterra (Barcelona)

E-08193, Spain

(12) Istituto di Fisica, Universitá Degli Studi di Urbino, INFN Urbino (PU), Italy

(13) European Space Operations Centre, European Space Agency, Darmstadt

64293, Germany

(14) Blackett Laboratory, Imperial College London, United Kingdom

(15) Physik Institut, Universität Zürich, Winterthurerstrasse 190, Zürich

CH-8057, Switzerland

(16) Institute for Gravitational Research, School of Physics and Astronomy, University of Glasgow, Glasgow

G12 8QQ, United Kingdom

(17) Universitat Politècnica de Catalunya, Enginyeria Electrònica, Jordi Girona 1-3, Barcelona

08034, Spain

(18) NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt

MD

20771, United States

(19) CGS S.p.A, Compagnia Generale per Lo Spazio, Via Gallarate, 150, Milan

20151, Italy^9

关键词: Analysis strategies;    Bayesian Analysis;    Bayesian statistics;    Gravitational wave detectors;    LISA Pathfinder;    Lisa technology packages;    Matlab toolboxes;    Operational simulations;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/610/1/012027/pdf
DOI  :  10.1088/1742-6596/610/1/012027

来源: IOP

【 摘 要 】

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.