Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 122002 |
| Fachzeitschrift | Physical Review D - Particles, Fields, Gravitation and Cosmology |
| Jahrgang | 82 |
| Ausgabenummer | 12 |
| Publikationsstatus | Veröffentlicht - 15 Dez. 2010 |
| Extern publiziert | Ja |
Abstract
A main scientific output of the LISA Pathfinder mission is to provide a noise model that can be extended to the future gravitational wave observatory, LISA. The success of the mission depends thus upon a deep understanding of the instrument, especially the ability to correctly determine the parameters of the underlying noise model. In this work we estimate the parameters of a simplified model of the LISA Technology Package instrument. We describe the LISA Technology Package by means of a closed-loop model that is used to generate the data, both injected signals and noise. Then, parameters are estimated using a Bayesian framework, and it is shown that this method reaches the optimal attainable error, the Cramér-Rao bound. We also address an important issue for the mission: how to efficiently combine the results of different experiments to obtain a unique set of parameters describing the instrument.
ASJC Scopus Sachgebiete
- Physik und Astronomie (insg.)
- Kern- und Hochenergiephysik
- Physik und Astronomie (insg.)
- Physik und Astronomie (sonstige)
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in: Physical Review D - Particles, Fields, Gravitation and Cosmology, Jahrgang 82, Nr. 12, 122002, 15.12.2010.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Bayesian parameter estimation in the second LISA Pathfinder mock data challenge
AU - Nofrarias, M.
AU - Röver, C.
AU - Hewitson, M.
AU - Monsky, A.
AU - Heinzel, G.
AU - Danzmann, K.
AU - Ferraioli, L.
AU - Hueller, M.
AU - Vitale, S.
PY - 2010/12/15
Y1 - 2010/12/15
N2 - A main scientific output of the LISA Pathfinder mission is to provide a noise model that can be extended to the future gravitational wave observatory, LISA. The success of the mission depends thus upon a deep understanding of the instrument, especially the ability to correctly determine the parameters of the underlying noise model. In this work we estimate the parameters of a simplified model of the LISA Technology Package instrument. We describe the LISA Technology Package by means of a closed-loop model that is used to generate the data, both injected signals and noise. Then, parameters are estimated using a Bayesian framework, and it is shown that this method reaches the optimal attainable error, the Cramér-Rao bound. We also address an important issue for the mission: how to efficiently combine the results of different experiments to obtain a unique set of parameters describing the instrument.
AB - A main scientific output of the LISA Pathfinder mission is to provide a noise model that can be extended to the future gravitational wave observatory, LISA. The success of the mission depends thus upon a deep understanding of the instrument, especially the ability to correctly determine the parameters of the underlying noise model. In this work we estimate the parameters of a simplified model of the LISA Technology Package instrument. We describe the LISA Technology Package by means of a closed-loop model that is used to generate the data, both injected signals and noise. Then, parameters are estimated using a Bayesian framework, and it is shown that this method reaches the optimal attainable error, the Cramér-Rao bound. We also address an important issue for the mission: how to efficiently combine the results of different experiments to obtain a unique set of parameters describing the instrument.
UR - http://www.scopus.com/inward/record.url?scp=78651284437&partnerID=8YFLogxK
U2 - 10.1103/PhysRevD.82.122002
DO - 10.1103/PhysRevD.82.122002
M3 - Article
AN - SCOPUS:78651284437
VL - 82
JO - Physical Review D - Particles, Fields, Gravitation and Cosmology
JF - Physical Review D - Particles, Fields, Gravitation and Cosmology
SN - 1550-7998
IS - 12
M1 - 122002
ER -