Bayesian statistics for the calibration of the LISA Pathfinder experiment

M Armano; H Audley; G Auger; P Binetruy; 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 García 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; 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; P Prat; 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; D Vetrugno; S Vitale; G Wanner; H Ward; S Waschke; P Wass; D Wealthy; S Wen; W Weber; A Wittchen; C Zanoni; T Ziegler; P Zweifel

doi:10.1088/1742-6596/610/1/012027

Journal of Physics: Conference Series

Paper • The following article is Open access

Bayesian statistics for the calibration of the LISA Pathfinder experiment

M Armano¹, H Audley², G Auger³, P Binetruy³, M Born², D Bortoluzzi⁴, N Brandt⁵, A Bursi¹⁹, M Caleno⁶, A Cavalleri⁷, A Cesarini⁷, M Cruise⁸, K Danzmann², I Diepholz², R Dolesi⁷, N Dunbar⁹, L Ferraioli¹⁰, V Ferroni⁷, E Fitzsimons⁵, M Freschi¹, C García Marirrodriga⁶, R Gerndt⁵, L Gesa¹¹, F Gibert¹¹, D Giardini¹⁰, R Giusteri⁷, C Grimani¹², I Harrison¹³, G Heinzel², M Hewitson², D Hollington¹⁴, M Hueller⁷, J Huesler⁶, H Inchauspé³, O Jennrich⁶, P Jetzer¹⁵, B Johlander⁶, N Karnesis¹¹, B Kaune², N Korsakova², C Killow¹⁶, I Lloro¹¹, R Maarschalkerweerd¹³, S Madden⁶, D Mance¹⁰, V Martin¹¹, F Martin-Porqueras¹, I Mateos¹¹, P McNamara⁶, J Mendes¹³, E Mitchell¹⁴, A Moroni¹⁹, M Nofrarias¹¹, S Paczkowski², M Perreur-Lloyd¹⁶, P Pivato⁷, E Plagnol³, P Prat³, U Ragnit⁶, J Ramos-Castro¹⁷, J Reiche², J A Romera Perez⁶, D Robertson¹⁶, H Rozemeijer⁶, G Russano⁷, P Sarra¹⁹, A Schleicher⁵, J Slutsky¹⁸, C F Sopuerta¹¹, T Sumner¹⁴, D Texier¹, J Thorpe¹⁸, C Trenkel⁹, H B Tu⁷, D Vetrugno⁷, S Vitale⁷, G Wanner², H Ward¹⁶, S Waschke¹⁴, P Wass¹⁴, D Wealthy⁹, S Wen⁷, W Weber⁷, A Wittchen², C Zanoni⁴, T Ziegler⁵ and P Zweifel¹⁰

Published under licence by IOP Publishing Ltd
Journal of Physics: Conference Series, Volume 610, 10th International LISA Symposium 18–23 May 2014, Florida, USA Citation M Armano et al 2015 J. Phys.: Conf. Ser. 610 012027 DOI 10.1088/1742-6596/610/1/012027

Download Article PDF

Article metrics

465 Total downloads

Author e-mails

karnesis@ieec.uab.es

Author affiliations

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

⁵ Airbus Defence and Space, Claude-Dornier-Strasse, 88090 Immenstaad, Germany

⁶ European Space Technology Centre, European Space Agency, Keplerlaan 1, 2200 AG Noordwijk, The Netherlands

⁷ Dipartimento di Fisica, Università di Trento and Trento Institute for Fundamental Physics and Application / INFN, 38123 Povo, Trento, Italy

⁸ Department of Physics and Astronomy, University of Birmingham, Birmingham, UK

⁹ Airbus Defence and Space, Gunnels Wood Road, Stevenage, Hertfordshire, SG1 2AS, UK

¹⁰ Institut für Geophysik, ETH Zürich, Sonneggstrasse 5, CH-8092, Zürich, Switzerland

¹¹ ICE-CSIC/IEEC, Facultat de Ciències, E-08193 Bellaterra (Barcelona), Spain

¹² Istituto di Fisica, Università degli Studi di Urbino/ INFN Urbino (PU), Italy

¹³ European Space Operations Centre, European Space Agency, 64293 Darmstadt, Germany

¹⁴ The Blackett Laboratory, Imperial College London, UK

¹⁵ Physik Institut, Universität Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland

¹⁶ SUPA, Institute for Gravitational Research, School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, UK

¹⁷ Universitat Politècnica de Catalunya, Enginyeria Electrònica, Jordi Girona 1-3, 08034 Barcelona, Spain

¹⁸ NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA

¹⁹ CGS S.p.A, Compagnia Generale per lo Spazio, Via Gallarate, 150 - 20151 Milano, Italy

Buy this article in print

Journal RSS

Sign up for new issue notifications

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.

A post-publication change was made to this article on 26 Jun 2020 to add an author.

Export citation and abstract BibTeX RIS

Previous article in issue

Next article in issue

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Please wait… references are loading.

Bayesian statistics for the calibration of the LISA Pathfinder experiment

Article metrics

Share this article

Author e-mails

Author affiliations

Abstract