First-stage LISA data processing and gravitational wave data analysis [electronic resource] : ultraprecise inter-satellite laser ranging, clock synchronization and novel gravitational wave data analysis algorithms / Yan Wang.
Wang, Yan, author.
2015
QC179
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Title
First-stage LISA data processing and gravitational wave data analysis [electronic resource] : ultraprecise inter-satellite laser ranging, clock synchronization and novel gravitational wave data analysis algorithms / Yan Wang.
Author
Wang, Yan, author.
ISBN
9783319263892 (electronic book)
3319263897 (electronic book)
9783319263885
DOI
https://doi.org/10.1007/978-3-319-26389-2
Published
Cham : Springer, [2015]
Copyright
©2016
Language
English
Description
1 online resource (xxx, 228 pages) : illustrations.
Item Number
10.1007/978-3-319-26389-2 doi
Call Number
QC179
Dewey Decimal Classification
539.7/54
Summary
This thesis covers a diverse set of topics related to space-based gravitational wave detectors such as the Laser Interferometer Space Antenna (LISA). The core of the thesis is devoted to the preprocessing of the interferometric link data for a LISA constellation, specifically developing optimal Kalman filters to reduce arm length noise due to clock noise. The approach is to apply Kalman filters of increasing complexity to make optimal estimates of relevant quantities such as constellation arm length, relative clock drift, and Doppler frequencies based on the available measurement data. Depending on the complexity of the filter and the simulated data, these Kalman filter estimates can provide up to a few orders of magnitude improvement over simpler estimators. While the basic concept of the LISA measurement (Time Delay Interferometry) was worked out some time ago, this work brings a level of rigor to the processing of the constellation-level data products. The thesis concludes with some topics related to the eLISA such as a new class of phenomenological waveforms for extreme mass-ratio inspiral sources (EMRIs, one of the main source for eLISA), an octahedral space-based GW detector that does not require drag-free test masses, and some efficient template-search algorithms for the case of relatively high SNR signals.
Note
"Doctoral thesis accepted by Max Planck Institute for Gravitational Physics, Germany."
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 22, 2015).
Series
Springer theses, 2190-5053
Available in Other Form
Print version: 9783319263885
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Introduction
LISA data processing chain
Applying the Kalman filter to a simple case
The inter-spacecraft measurements
Design a hybrid extended Kalman filter for the entire LISA constellation
Alternative Kalman filter models
Broken laser links and robustness
Optimal filtering for LISA with effective system models
Clock noise and disordered measurements
Octahedron configuration for a displacement noise-canceling gravitational wave detector in space
EMRI data analysis with a phenomenological waveform
Fast detection and automatic parameter estimation of a gravitational wave signal with a novel method
Likelihood transform: making optimization and parameter estimation easier.

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