DelaunayDetector

class mss_dataserver.event.delaunay_detection.DelaunayDetector(network_stations, trigger_thr=1e-05, window_length=10, safety_time=10, p_vel=3500, min_trigger_window=2, max_edge_length=40000, author_uri=None, agency_uri=None)[source]

Bases: object

Event detection using amplitudes and Delaunay Triangulation.

Parameters

  • network_stations (list of Station) – All available stations of the network.

  • trigger_thr (float) – The trigger threshold value [m/s].

  • window_length (float) – The length of the detection window [s].

  • safety_time (float) – The length of the timespan used as a safety period when computing the end-time of the detection timespan [s].

  • p_vel (float) – The P-wave velocity used to compute the maximum traveltimes over the length of a detection triangle [m/s].

  • min_trigger_window (float) – The length of the minimum trigger window [s].

  • max_edge_length (float) – The maximum edge length of a triangle used for the detection [m].

  • author_uri (str) – The uniform resource identifier of the author.

  • agency_uri (str) – The uniform resource identifier of the author agency.

Variables

  • max_time_window (numpy.ndarray) – The maximum time that a wave needs to pass the detection triangles.

  • current_event (Event) – The currently detected event.

  • detect_stations (list of Station) – The stations used for the event detection. Stations available in network_stations that don’t have data are ignored.

  • unused_stations (list of Station) – The stations not used for the event detection.

  • detect_stream (obspy.Stream) – The stream holding the PGV data used for event detection.

  • tri (scipy.spatial.Delaunay) – The detection triangles used for detection.

  • edge_length (dict) – The maximum edge lengths of the detection triangles [m]. The key is a tuple of the NSL codes of the stations of the triangles.

  • last_detection_start (obspy.UTCDateTime) – The start time of the data used for the last detection.

  • last_detection_end (obspy.UTCDateTime) – The end time of the data used for the last detection.

  • trigger_data (list of dict) – The current event trigger data of the detection triangles.

  • detection_run_initialized (bool) – A new detection run has been initialized.

  • event_triggered (bool) – An event has been triggered.

  • new_event_available (bool) – A new event is available.

Methods

__init__(network_stations[, trigger_thr, …])

Initialization of the instance.

check_for_event_trigger()

Compute if an event trigger is available.

compute_delaunay_triangulation(stations)

Compute the Delaunay triangles.

compute_edge_length(stations, tri[, clean_tri])

Compute the edge length of the detection triangles.

compute_max_time_window()

Compute the maximum time window that a wave needs to pass the triangles.

compute_triangle_max_pgv(simp)

Compute the maximal PGV values of a delaunay triangle.

compute_trigger_data()

Compute the trigger data for all Delaunay triangles.

evaluate_event_trigger()

Evaluate the event trigger data and declare or update an event.

get_event()

Get a copy of the current event.

init_detection_run(stream)

Initialize a new detection run.

prepare_detection_stream(stream)

Prepare the data stream used for the detection run.

reset()

Reset the detector to an initial state.

run_detection(stream)

Run the event detection using the passed stream.

Inheritence diagram

Inheritance diagram of mss_dataserver.event.delaunay_detection.DelaunayDetector