LEADER 01060cam0 22002653 450 001 SOB019168 005 20210218102435.0 010 $a3893548289 100 $a20040211d1989 |||||ita|0103 ba 101 $aspa 102 $aSP 200 1 $aActas del IX Congreso de la Asociación internacional de Hispanistas 18 - 23 agosto 1986 Berlín$fpublicadas por Sebastian Neumeister. Vol.I,II 210 $aFrankfurt am Main$cVervuert$d1989 215 $a2 v.$d23 cm 702 1$aNEUMEISTER, Sebastian$3AF00022500$4070 710 02$a*Congreso de la Asociación Internacional de Hispanistas, 9, Berlin, 1986$3AF00024733$4070$0779909 801 0$aIT$bUNISOB$c20210218$gRICA 850 $aUNISOB 852 $aUNISOB$j860$m111454 912 $aSOB019168 940 $aM 102 Monografia moderna SBN 941 $aM 957 $a860$b000414$gSI$d111454$rACQUISTO$1Spinosa$2UNISOB$3UNISOB$420210218102409.0$520210218102420.0$6Spinosa 996 $aActas del IX Congreso de la Asociación internacional de Hispanistas 18 - 23 agosto 1986 Berlín$91676402 997 $aUNISOB LEADER 05498nam 22008535 450 001 9910254614503321 005 20200704005859.0 010 $a3-319-26389-7 024 7 $a10.1007/978-3-319-26389-2 035 $a(CKB)3710000000541930 035 $a(EBL)4189349 035 $a(SSID)ssj0001597510 035 $a(PQKBManifestationID)16296672 035 $a(PQKBTitleCode)TC0001597510 035 $a(PQKBWorkID)14885586 035 $a(PQKB)11435233 035 $a(DE-He213)978-3-319-26389-2 035 $a(MiAaPQ)EBC4189349 035 $a(PPN)190886773 035 $a(EXLCZ)993710000000541930 100 $a20151210d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFirst-stage LISA Data Processing and Gravitational Wave Data Analysis $eUltraprecise Inter-satellite Laser Ranging, Clock Synchronization and Novel Gravitational Wave Data Analysis Algorithms /$fby Yan Wang 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (252 p.) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 300 $a"Doctoral Thesis accepted by Max Planck Institute for Gravitational Physics, Germany." 311 $a3-319-26388-9 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction -- 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. . 330 $aThis thesis covers a diverse set of topics related to space-based gravitational wave detectors such as the Laser Interferometer Space Antenna (LISA). The core of the thesis is devoted to the preprocessing of the interferometric link data for a LISA constellation, specifically developing optimal Kalman filters to reduce arm length noise due to clock noise. The approach is to apply Kalman filters of increasing complexity to make optimal estimates of relevant quantities such as constellation arm length, relative  clock drift, and Doppler frequencies based on the available measurement data. Depending on the complexity of the filter and the simulated data, these Kalman filter estimates can provide up to a few orders of magnitude improvement over simpler estimators. While the basic concept of the LISA  measurement (Time Delay Interferometry) was worked out some time ago, this work brings a level of rigor to the processing of the constellation-level data products. The thesis concludes with some topics related to the eLISA such as a new class of phenomenological waveforms for extreme mass-ratio inspiral sources (EMRIs, one of the main source for eLISA), an octahedral space-based GW detector that does not require drag-free test masses, and some efficient template-search algorithms for the case of relatively high SNR signals. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aAstrophysics 606 $aLasers 606 $aPhotonics 606 $aData mining 606 $aGravitation 606 $aPhysical measurements 606 $aMeasurement 606 $aQuantum optics 606 $aAstrophysics and Astroparticles$3https://scigraph.springernature.com/ontologies/product-market-codes/P22022 606 $aOptics, Lasers, Photonics, Optical Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/P31030 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aClassical and Quantum Gravitation, Relativity Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/P19070 606 $aMeasurement Science and Instrumentation$3https://scigraph.springernature.com/ontologies/product-market-codes/P31040 606 $aQuantum Optics$3https://scigraph.springernature.com/ontologies/product-market-codes/P24050 615 0$aAstrophysics. 615 0$aLasers. 615 0$aPhotonics. 615 0$aData mining. 615 0$aGravitation. 615 0$aPhysical measurements. 615 0$aMeasurement. 615 0$aQuantum optics. 615 14$aAstrophysics and Astroparticles. 615 24$aOptics, Lasers, Photonics, Optical Devices. 615 24$aData Mining and Knowledge Discovery. 615 24$aClassical and Quantum Gravitation, Relativity Theory. 615 24$aMeasurement Science and Instrumentation. 615 24$aQuantum Optics. 676 $a523.01 700 $aWang$b Yan$4aut$4http://id.loc.gov/vocabulary/relators/aut$0554895 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254614503321 996 $aFirst-stage LISA Data Processing and Gravitational Wave Data Analysis$92535374 997 $aUNINA LEADER 03597nam 22007335 450 001 9910349271503321 005 20251225195031.0 010 $a3-030-33778-2 024 7 $a10.1007/978-3-030-33778-0 035 $a(CKB)4100000009606144 035 $a(MiAaPQ)EBC5963151 035 $a(DE-He213)978-3-030-33778-0 035 $a(PPN)25569833X 035 $a(EXLCZ)994100000009606144 100 $a20191018d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDiscovery Science $e22nd International Conference, DS 2019, Split, Croatia, October 28?30, 2019, Proceedings /$fedited by Petra Kralj Novak, Tomislav ?muc, Sa?o D?eroski 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (xxii, 546 pages) $cillustrations 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v11828 311 08$a3-030-33777-4 320 $aIncludes bibliographical references and index. 327 $aAdvanced Machine Learning -- Applications -- Data and Knowledge Representation -- Feature Importance -- Interpretable Machine Learning -- Networks -- Pattern Discovery -- Time Series. 330 $aThis book constitutes the proceedings of the 22nd International Conference on Discovery Science, DS 2019, held in Split, Coratia, in October 2019. The 21 full and 19 short papers presented together with 3 abstracts of invited talks in this volume were carefully reviewed and selected from 63 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in the following topical sections: Advanced Machine Learning; Applications; Data and Knowledge Representation; Feature Importance; Interpretable Machine Learning; Networks; Pattern Discovery; and Time Series. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v11828 606 $aArtificial intelligence 606 $aData mining 606 $aComputer science 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aSoftware engineering 606 $aArtificial Intelligence 606 $aData Mining and Knowledge Discovery 606 $aTheory of Computation 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aSoftware Engineering 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aComputer science. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aSoftware engineering. 615 14$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aTheory of Computation. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aSoftware Engineering. 676 $a006.3 676 $a501 702 $aKralj Novak$b Petra$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $a?muc$b Tomislav$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aD?eroski$b Sa?o$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349271503321 996 $aDiscovery Science$92968615 997 $aUNINA