Bayesian statistics for the calibration of the LISA Pathfinder experiment

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

1 APC (UMR_7164) - AstroParticule et Cosmologie

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.

Mots clés: LISA: calibration; numerical methods; statistical analysis: Bayesian; noise: acceleration; gravitational radiation detector; detector: satellite; gravitational radiation: emission

Domaines: Relativité Générale et Cosmologie Quantique [gr-qc]; Instrumentations et Détecteurs [physics.ins-det]

M. Armano, H. Audley, G. Auger, P. Binetruy, M. Born, et al.. Bayesian statistics for the calibration of the LISA Pathfinder experiment. 10th International LISA Symposium, May 2014, Gainesville, United States. pp.012027, ⟨10.1088/1742-6596/610/1/012027⟩. ⟨hal-01554218⟩