Correct localization with method 1.
An example of a successful localization using method 1 that used the likelihood function of Eq ( 3 ) for a master detection on station J53A at 00:05:35 UT on December 13, 2011. The upper two panels are maps showing (a) the logarithm of the likelihood function L ( x ) ( Eq 3 ) and (b) the probability...
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ftsmithonian:oai:figshare.com:article/17207607 2023-05-15T15:36:24+02:00 Correct localization with method 1. William S. D. Wilcock (3749737) Rose S. Hilmo (4537330) 2021-12-15T18:23:25Z https://doi.org/10.1371/journal.pone.0260273.g005 unknown https://figshare.com/articles/figure/Correct_localization_with_method_1_/17207607 doi:10.1371/journal.pone.0260273.g005 CC BY 4.0 CC-BY Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Physical Sciences not elsewhere classified studying marine mammals passive acoustic monitoring ocean bottom seismometers many spurious solutions increasing sampling rates future experiments might div >< p balaenoptera musculus </ widely spaced network false positives must obtain tracks using least 20 locations earliest arrival time different b calls true positives large network b call vocalize extensively smooth paths seismic frequencies requiring groups pacific northwest obtained iteratively minimize changes localize calls including constraints important tool follow within first harmonic feasible time distance window detecting harmonics describe methods calls identified approaches lead 15 hz Image Figure 2021 ftsmithonian https://doi.org/10.1371/journal.pone.0260273.g005 2021-12-19T19:26:41Z An example of a successful localization using method 1 that used the likelihood function of Eq ( 3 ) for a master detection on station J53A at 00:05:35 UT on December 13, 2011. The upper two panels are maps showing (a) the logarithm of the likelihood function L ( x ) ( Eq 3 ) and (b) the probability density function P ( x ) ( Eq 8 ) with a color scale. Labeled squares show stations, with filled squares indicating stations with detection times in the solution. The 95% probability area of the location is shown by a bold black contour. (c) Eight spectrograms for 4 minutes of data starting one minute before the master detection with detections used in the solution shown as solid black labeled with the estimated probability the detection is a true positive, other detection times as thin dashed black lines, and the predicted arrival times as dot-dashed red lines. Spectrograms are created with a 4-s-window and 95% overlap, normalized by subtracting the median at each frequency, and shown as a color scale for values that exceed the 90 th percentile value. Example A and B calls are labeled on the spectrogram for station J54A. Still Image Balaenoptera musculus Unknown Pacific |
institution |
Open Polar |
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op_collection_id |
ftsmithonian |
language |
unknown |
topic |
Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Physical Sciences not elsewhere classified studying marine mammals passive acoustic monitoring ocean bottom seismometers many spurious solutions increasing sampling rates future experiments might div >< p balaenoptera musculus </ widely spaced network false positives must obtain tracks using least 20 locations earliest arrival time different b calls true positives large network b call vocalize extensively smooth paths seismic frequencies requiring groups pacific northwest obtained iteratively minimize changes localize calls including constraints important tool follow within first harmonic feasible time distance window detecting harmonics describe methods calls identified approaches lead 15 hz |
spellingShingle |
Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Physical Sciences not elsewhere classified studying marine mammals passive acoustic monitoring ocean bottom seismometers many spurious solutions increasing sampling rates future experiments might div >< p balaenoptera musculus </ widely spaced network false positives must obtain tracks using least 20 locations earliest arrival time different b calls true positives large network b call vocalize extensively smooth paths seismic frequencies requiring groups pacific northwest obtained iteratively minimize changes localize calls including constraints important tool follow within first harmonic feasible time distance window detecting harmonics describe methods calls identified approaches lead 15 hz William S. D. Wilcock (3749737) Rose S. Hilmo (4537330) Correct localization with method 1. |
topic_facet |
Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Physical Sciences not elsewhere classified studying marine mammals passive acoustic monitoring ocean bottom seismometers many spurious solutions increasing sampling rates future experiments might div >< p balaenoptera musculus </ widely spaced network false positives must obtain tracks using least 20 locations earliest arrival time different b calls true positives large network b call vocalize extensively smooth paths seismic frequencies requiring groups pacific northwest obtained iteratively minimize changes localize calls including constraints important tool follow within first harmonic feasible time distance window detecting harmonics describe methods calls identified approaches lead 15 hz |
description |
An example of a successful localization using method 1 that used the likelihood function of Eq ( 3 ) for a master detection on station J53A at 00:05:35 UT on December 13, 2011. The upper two panels are maps showing (a) the logarithm of the likelihood function L ( x ) ( Eq 3 ) and (b) the probability density function P ( x ) ( Eq 8 ) with a color scale. Labeled squares show stations, with filled squares indicating stations with detection times in the solution. The 95% probability area of the location is shown by a bold black contour. (c) Eight spectrograms for 4 minutes of data starting one minute before the master detection with detections used in the solution shown as solid black labeled with the estimated probability the detection is a true positive, other detection times as thin dashed black lines, and the predicted arrival times as dot-dashed red lines. Spectrograms are created with a 4-s-window and 95% overlap, normalized by subtracting the median at each frequency, and shown as a color scale for values that exceed the 90 th percentile value. Example A and B calls are labeled on the spectrogram for station J54A. |
format |
Still Image |
author |
William S. D. Wilcock (3749737) Rose S. Hilmo (4537330) |
author_facet |
William S. D. Wilcock (3749737) Rose S. Hilmo (4537330) |
author_sort |
William S. D. Wilcock (3749737) |
title |
Correct localization with method 1. |
title_short |
Correct localization with method 1. |
title_full |
Correct localization with method 1. |
title_fullStr |
Correct localization with method 1. |
title_full_unstemmed |
Correct localization with method 1. |
title_sort |
correct localization with method 1. |
publishDate |
2021 |
url |
https://doi.org/10.1371/journal.pone.0260273.g005 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Balaenoptera musculus |
genre_facet |
Balaenoptera musculus |
op_relation |
https://figshare.com/articles/figure/Correct_localization_with_method_1_/17207607 doi:10.1371/journal.pone.0260273.g005 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1371/journal.pone.0260273.g005 |
_version_ |
1766366758085591040 |