Published May 11, 2015 | Version v1
Journal article Metadata-only

Bayesian statistics for the calibration of the LISA Pathfinder experiment

Creators

  • 1. European Space Astronomy Centre, European Space Agency, Villanueva de la Cañada, 28692 Madrid (Spain)
  • 2. Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Universität Hannover, 30167 Hannover (Germany)
  • 3. APC UMR7164, Université Paris Diderot, Paris (France)
  • 4. Department of Industrial Engineering, University of Trento, via Sommarive 9, 38123 Trento, and Trento Institute for Fundamental Physics and Application / INFN (Italy)
  • 5. Airbus Defence and Space, Claude-Dornier-Strasse, 88090 Immenstaad (Germany)
  • 6. CGS S.p.A, Compagnia Generale per lo Spazio, Via Gallarate, 150 - 20151 Milano (Italy)
  • 7. European Space Technology Centre, European Space Agency, Keplerlaan 1, 2200 AG Noordwijk (Netherlands)
  • 8. Dipartimento di Fisica, Universita di Trento and Trento Institute for Fundamental Physics and Application / INFN, 38123 Povo, Trento (Italy)
  • 9. Department of Physics and Astronomy, University of Birmingham, Birmingham (United Kingdom)
  • 10. Airbus Defence and Space, Gunnels Wood Road, Stevenage, Hertfordshire, SG1 2AS (United Kingdom)
  • 11. Institut für Geophysik, ETH Zürich, Sonneggstrasse 5, CH-8092, Zürich (Switzerland)

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. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/610/1/012027

Additional details

Identifiers

DOI
10.1088/1742-6596/610/1/012027;

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
610
Journal Issue
1
Journal Page Range
[6 p.]
ISSN
1742-6596

Conference

Title
10. international LISA symposium
Dates
18-23 May 2014
Place
Gainesville, FL (United States)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47120780
Subject category
S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ACCELERATION; ACCURACY; CALIBRATION; COMPUTERIZED SIMULATION; DATA ANALYSIS; DEGREES OF FREEDOM; EXPERIMENT DESIGN; GRAVITATIONAL WAVE DETECTORS; GRAVITATIONAL WAVES; L CODES; NOISE; SPACE; STATISTICS
Descriptors DEC
COMPUTER CODES; DATA PROCESSING; MATHEMATICS; MEASURING INSTRUMENTS; PROCESSING; RADIATION DETECTORS; SIMULATION