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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ftingv:oai:www.earth-prints.org:2122/1858 2024-06-09T07:47:30+00:00 Accurate determination of phase arrival times using autoregressive likelihood estimation Kvaerna, T. Kvaerna, T.; NFR/NORSAR, Kjeller, Norway NFR/NORSAR, Kjeller, Norway 1994-06 4211265 bytes application/pdf http://hdl.handle.net/2122/1858 en eng 3/37 (1994) http://hdl.handle.net/2122/1858 open seismology signal processing autoregressive analysis onset time 05. General::05.01. Computational geophysics::05.01.99. General or miscellaneous article 1994 ftingv 2024-05-15T08:06:18Z 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. JCR Journal open Article in Journal/Newspaper kola peninsula Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) Kola Peninsula Khibiny ENVELOPE(33.210,33.210,67.679,67.679) Apatity ENVELOPE(33.403,33.403,67.564,67.564) |
institution |
Open Polar |
collection |
Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) |
op_collection_id |
ftingv |
language |
English |
topic |
seismology signal processing autoregressive analysis onset time 05. General::05.01. Computational geophysics::05.01.99. General or miscellaneous |
spellingShingle |
seismology signal processing autoregressive analysis onset time 05. General::05.01. Computational geophysics::05.01.99. General or miscellaneous Kvaerna, T. Accurate determination of phase arrival times using autoregressive likelihood estimation |
topic_facet |
seismology signal processing autoregressive analysis onset time 05. General::05.01. Computational geophysics::05.01.99. General or miscellaneous |
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. JCR Journal open |
author2 |
Kvaerna, T.; NFR/NORSAR, Kjeller, Norway NFR/NORSAR, Kjeller, Norway |
format |
Article in Journal/Newspaper |
author |
Kvaerna, T. |
author_facet |
Kvaerna, T. |
author_sort |
Kvaerna, T. |
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 |
publishDate |
1994 |
url |
http://hdl.handle.net/2122/1858 |
long_lat |
ENVELOPE(33.210,33.210,67.679,67.679) ENVELOPE(33.403,33.403,67.564,67.564) |
geographic |
Kola Peninsula Khibiny Apatity |
geographic_facet |
Kola Peninsula Khibiny Apatity |
genre |
kola peninsula |
genre_facet |
kola peninsula |
op_relation |
3/37 (1994) http://hdl.handle.net/2122/1858 |
op_rights |
open |
_version_ |
1801378618417348608 |