The Resource First-stage LISA data processing and gravitational wave data analysis : ultraprecise inter-satellite laser ranging, clock synchronization and novel gravitational wave data analysis algorithms, Yan Wang

First-stage LISA data processing and gravitational wave data analysis : ultraprecise inter-satellite laser ranging, clock synchronization and novel gravitational wave data analysis algorithms, Yan Wang

Label
First-stage LISA data processing and gravitational wave data analysis : ultraprecise inter-satellite laser ranging, clock synchronization and novel gravitational wave data analysis algorithms
Title
First-stage LISA data processing and gravitational wave data analysis
Title remainder
ultraprecise inter-satellite laser ranging, clock synchronization and novel gravitational wave data analysis algorithms
Statement of responsibility
Yan Wang
Creator
Author
Subject
Genre
Language
eng
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
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Wang, Yan
Dewey number
539.7/54
Illustrations
illustrations
Index
index present
LC call number
QC179
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Springer theses,
http://library.link/vocab/subjectName
  • Gravitational waves
  • Gravitational waves
  • SCIENCE
  • Astrophysics
  • Data mining
  • Gravitation
  • Lasers
  • Measurement
  • Photonics
  • Physical measurements
  • Physics
  • Quantum optics
  • Laser technology & holography
  • Data mining
  • Gravity
  • Mensuration & systems of measurement
  • Optical physics
  • Astrophysics
Label
First-stage LISA data processing and gravitational wave data analysis : ultraprecise inter-satellite laser ranging, clock synchronization and novel gravitational wave data analysis algorithms, Yan Wang
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-26389-2
Instantiates
Publication
Copyright
Note
"Doctoral thesis accepted by Max Planck Institute for Gravitational Physics, Germany."
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
1 online resource (xxx, 228 pages)
File format
unknown
Form of item
online
Isbn
9783319263892
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-26389-2
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)933295950
  • (OCoLC)ocn933295950
Label
First-stage LISA data processing and gravitational wave data analysis : ultraprecise inter-satellite laser ranging, clock synchronization and novel gravitational wave data analysis algorithms, Yan Wang
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-26389-2
Publication
Copyright
Note
"Doctoral thesis accepted by Max Planck Institute for Gravitational Physics, Germany."
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
1 online resource (xxx, 228 pages)
File format
unknown
Form of item
online
Isbn
9783319263892
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-26389-2
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)933295950
  • (OCoLC)ocn933295950

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