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Armano, M. [Author]; Audley, H. [Author]; Auger, G. [Author]; Binetruy, P. [Author]; Born, M. [Author]; Bortoluzzi, D. [Author]; Brandt, N. [Author]; Bursi, A. [Author]; Caleno, M. [Author]; Cavalleri, A. [Author]; Cesarini, A. [Author]; Cruise, M. [Author]; Danzmann, Karsten [Author]; Diepholz, I. [Author]; Dolesi, R. [Author]; Dunbar, N. [Author]; Ferraioli, L. [Author]; Ferroni, V. [Author]; Fitzsimons, E. [Author]; Freschi, M. [Author]; Marirrodriga, C.G. [Author]; Gerndt, R. [Author]; Gesa, L. [Author]; Gibert, F. [Author]; [...]

Bayesian statistics for the calibration of the LISA Pathfinder experiment - [published Version]

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  • Media type: Text; E-Article
  • Title: Bayesian statistics for the calibration of the LISA Pathfinder experiment
  • Contributor: Armano, M. [Author]; Audley, H. [Author]; Auger, G. [Author]; Binetruy, P. [Author]; Born, M. [Author]; Bortoluzzi, D. [Author]; Brandt, N. [Author]; Bursi, A. [Author]; Caleno, M. [Author]; Cavalleri, A. [Author]; Cesarini, A. [Author]; Cruise, M. [Author]; Danzmann, Karsten [Author]; Diepholz, I. [Author]; Dolesi, R. [Author]; Dunbar, N. [Author]; Ferraioli, L. [Author]; Ferroni, V. [Author]; Fitzsimons, E. [Author]; Freschi, M. [Author]; Marirrodriga, C.G. [Author]; Gerndt, R. [Author]; Gesa, L. [Author]; Gibert, F. [Author]; [...]
  • Published: Bristol : Institute of Physics Publishing, 2015
  • Published in: Journal of Physics: Conference Series 610 (2015), Nr. 1
  • Issue: published Version
  • Language: English
  • DOI: https://doi.org/10.15488/4040; https://doi.org/10.1088/1742-6596/610/1/012027
  • ISSN: 1742-6588
  • Keywords: Gravity waves ; Bayesian statistics ; MATLAB ; Operational simulations ; Gravitational wave detectors ; Analysis strategies ; Degrees of freedom (mechanics) ; Konferenzschrift ; Matlab toolboxes ; Space probes ; Lisa technology packages ; Bayesian Analysis ; LISA Pathfinder
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: 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.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)