Accurate determination of phase arrival times using autoregressive likelihood estimation
We have investigated the potential automatic use of an onset picker based on autoregressive likelihood estimation. Both a single component version and a three component version of this method have been tested on data from events located in the Khibiny Massif of the Kola peninsula, recorded at the Ap...
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Istituto Nazionale di Geofisica e Vulcanologia (INGV)
1994
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ftdoajarticles:oai:doaj.org/article:a273ff45212249ba8576379879d4ac11 2023-05-15T17:05:01+02:00 Accurate determination of phase arrival times using autoregressive likelihood estimation G. Kvaerna 1994-06-01T00:00:00Z https://doi.org/10.4401/ag-4207 https://doaj.org/article/a273ff45212249ba8576379879d4ac11 EN eng Istituto Nazionale di Geofisica e Vulcanologia (INGV) http://www.annalsofgeophysics.eu/index.php/annals/article/view/4207 https://doaj.org/toc/1593-5213 https://doaj.org/toc/2037-416X doi:10.4401/ag-4207 1593-5213 2037-416X https://doaj.org/article/a273ff45212249ba8576379879d4ac11 Annals of Geophysics, Vol 37, Iss 3 (1994) seismology signal processing autoregressive analysis onset time Meteorology. Climatology QC851-999 Geophysics. Cosmic physics QC801-809 article 1994 ftdoajarticles https://doi.org/10.4401/ag-4207 2022-12-31T06:14:46Z We have investigated the potential automatic use of an onset picker based on autoregressive likelihood estimation. Both a single component version and a three component version of this method have been tested on data from events located in the Khibiny Massif of the Kola peninsula, recorded at the Apatity array, the Apatity three component station and the ARCESS array. Using this method, we have been able to estimate onset times to an accuracy (standard deviation) of about 0.05 s for P-phases and 0.15 0.20 s for S phases. These accuracies are as good as for analyst picks, and are considerably better than the accuracies of the current onset procedure used for processing of regional array data at NORSAR. In another application, we have developed a generic procedure to reestimate the onsets of all types of first arriving P phases. By again applying the autoregressive likelihood technique, we have obtained automatic onset times of a quality such that 70% of the automatic picks are within 0.1 s of the best manual pick. For the onset time procedure currently used at NORSAR, the corresponding number is 28%. Clearly, automatic reestimation of first arriving P onsets using the autoregressive likelihood technique has the potential of significantly reducing the retiming efforts of the analyst. Article in Journal/Newspaper kola peninsula Directory of Open Access Journals: DOAJ Articles Apatity ENVELOPE(33.403,33.403,67.564,67.564) Khibiny ENVELOPE(33.210,33.210,67.679,67.679) Kola Peninsula Annals of Geophysics 37 3 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
seismology signal processing autoregressive analysis onset time Meteorology. Climatology QC851-999 Geophysics. Cosmic physics QC801-809 |
spellingShingle |
seismology signal processing autoregressive analysis onset time Meteorology. Climatology QC851-999 Geophysics. Cosmic physics QC801-809 G. Kvaerna Accurate determination of phase arrival times using autoregressive likelihood estimation |
topic_facet |
seismology signal processing autoregressive analysis onset time Meteorology. Climatology QC851-999 Geophysics. Cosmic physics QC801-809 |
description |
We have investigated the potential automatic use of an onset picker based on autoregressive likelihood estimation. Both a single component version and a three component version of this method have been tested on data from events located in the Khibiny Massif of the Kola peninsula, recorded at the Apatity array, the Apatity three component station and the ARCESS array. Using this method, we have been able to estimate onset times to an accuracy (standard deviation) of about 0.05 s for P-phases and 0.15 0.20 s for S phases. These accuracies are as good as for analyst picks, and are considerably better than the accuracies of the current onset procedure used for processing of regional array data at NORSAR. In another application, we have developed a generic procedure to reestimate the onsets of all types of first arriving P phases. By again applying the autoregressive likelihood technique, we have obtained automatic onset times of a quality such that 70% of the automatic picks are within 0.1 s of the best manual pick. For the onset time procedure currently used at NORSAR, the corresponding number is 28%. Clearly, automatic reestimation of first arriving P onsets using the autoregressive likelihood technique has the potential of significantly reducing the retiming efforts of the analyst. |
format |
Article in Journal/Newspaper |
author |
G. Kvaerna |
author_facet |
G. Kvaerna |
author_sort |
G. Kvaerna |
title |
Accurate determination of phase arrival times using autoregressive likelihood estimation |
title_short |
Accurate determination of phase arrival times using autoregressive likelihood estimation |
title_full |
Accurate determination of phase arrival times using autoregressive likelihood estimation |
title_fullStr |
Accurate determination of phase arrival times using autoregressive likelihood estimation |
title_full_unstemmed |
Accurate determination of phase arrival times using autoregressive likelihood estimation |
title_sort |
accurate determination of phase arrival times using autoregressive likelihood estimation |
publisher |
Istituto Nazionale di Geofisica e Vulcanologia (INGV) |
publishDate |
1994 |
url |
https://doi.org/10.4401/ag-4207 https://doaj.org/article/a273ff45212249ba8576379879d4ac11 |
long_lat |
ENVELOPE(33.403,33.403,67.564,67.564) ENVELOPE(33.210,33.210,67.679,67.679) |
geographic |
Apatity Khibiny Kola Peninsula |
geographic_facet |
Apatity Khibiny Kola Peninsula |
genre |
kola peninsula |
genre_facet |
kola peninsula |
op_source |
Annals of Geophysics, Vol 37, Iss 3 (1994) |
op_relation |
http://www.annalsofgeophysics.eu/index.php/annals/article/view/4207 https://doaj.org/toc/1593-5213 https://doaj.org/toc/2037-416X doi:10.4401/ag-4207 1593-5213 2037-416X https://doaj.org/article/a273ff45212249ba8576379879d4ac11 |
op_doi |
https://doi.org/10.4401/ag-4207 |
container_title |
Annals of Geophysics |
container_volume |
37 |
container_issue |
3 |
_version_ |
1766059383671750656 |