First-stage Lisa Data Processing And Gravitational Wave Data Analysis: Ultraprecise Inter-satellite Laser Ranging, Clock Synchronization And Novel ... Data Analysis Algorithms (springer Theses)
by Yan Wang /
2015 / English / PDF
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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.
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.
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.