國立高雄大學圖資館 |

Language: English

Back to Search results for [ subject:"Gravitational waves" ]

First-stage LISA data processing and...

SpringerLink (Online service)

First-stage LISA data processing and gravitational wave data analysisultraprecise inter-satellite laser ranging, clock synchronization and novel gravitational wave data analysis algorithms /

Record Type:	Electronic resources : Monograph/item
Title/Author:	First-stage LISA data processing and gravitational wave data analysisby Yan Wang.
Reminder of title:	ultraprecise inter-satellite laser ranging, clock synchronization and novel gravitational wave data analysis algorithms /
Author:	Wang, Yan.
Published:	Cham :Springer International Publishing :2016.
Description:	xxx, 228 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Gravitational wavesData processing.
Online resource:	http://dx.doi.org/10.1007/978-3-319-26389-2
ISBN:	9783319263892$q(electronic bk.)

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

First-stage LISA data processing and gravitational wave data analysisultraprecise inter-satellite laser ranging, clock synchronization and novel gravitational wave data analysis algorithms /[electronic resource] :by Yan Wang. - Cham :Springer International Publishing :2016. - xxx, 228 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

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.

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.

ISBN: 9783319263892$q(electronic bk.)

Standard No.: 10.1007/978-3-319-26389-2doiSubjects--Topical Terms:

739345
Gravitational waves
--Data processing.

LC Class. No.: QC179

Dewey Class. No.: 539.754

First-stage LISA data processing and gravitational wave data analysisultraprecise inter-satellite laser ranging, clock synchronization and novel gravitational wave data analysis algorithms /
LDR:03153nmm a2200325 a 4500 001 482559
003 DE-He213
005 20160810140215.0
006 m d
007 cr nn 008maaau
008 161007s2016 gw s 0 eng d
020 $a 9783319263892$q(electronic bk.)
020 $a 9783319263885$q(paper)
024 7 $a 10.1007/978-3-319-26389-2 $2 doi
035 $a 978-3-319-26389-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QC179
072 7 $a PHVB $2 bicssc
072 7 $a SCI005000 $2 bisacsh
082 0 4 $a 539.754 $2 23
090 $a QC179 $b .W246 2016
100 1 $a Wang, Yan. $3 681237
245 1 0 $a First-stage LISA data processing and gravitational wave data analysis $h [electronic resource] : $b ultraprecise inter-satellite laser ranging, clock synchronization and novel gravitational wave data analysis algorithms / $c by Yan Wang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xxx, 228 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5053
505 0 $a 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.
520 $a 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.
650 0 $a Gravitational waves $x Data processing. $3 739345
650 0 $a Gravitational waves $x Mathematical models. $3 739346
650 1 4 $a Physics. $3 179414
650 2 4 $a Astrophysics and Astroparticles. $3 376943
650 2 4 $a Laser Technology, Photonics. $3 376952
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Classical and Quantum Gravitation, Relativity Theory. $3 376367
650 2 4 $a Measurement Science and Instrumentation. $3 376366
650 2 4 $a Quantum Optics. $3 376759
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Springer theses. $3 557607
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-26389-2
950 $a Physics and Astronomy (Springer-11651)