EQTransformer.utils.hdf5_maker module

Created on Sat Aug 31 21:21:31 2019

@author: mostafamousavi

last update: 01/29/2021

  • downsampling using the interpolation function can cause false segmentaiton error.
    This depend on your data and its sampling rate. If you kept getting this error when using multiprocessors, try using only a single cpu.
EQTransformer.utils.hdf5_maker.preprocessor(preproc_dir, mseed_dir, stations_json, overlap=0.3, n_processor=None)[source]

Performs preprocessing and partitions the continuous waveforms into 1-minute slices.

Parameters:
  • preproc_dir (str) – Path of the directory where will be located the summary files generated by preprocessor step.
  • mseed_dir (str) – Path of the directory where the mseed files are located.
  • stations_json (str) – Path to a JSON file containing station information.
  • overlap (float, default=0.3) – If set, detection, and picking are performed in overlapping windows.
  • n_processor (int, default=None) – The number of CPU processors for parallel preprocessing.
Returns:

  • mseed_dir_processed_hdfs/station.csv (Phase information for the associated events in hypoInverse format.)
  • mseed_dir_processed_hdfs/station.hdf5 (Containes all slices and preprocessed traces.)
  • preproc_dir/X_preprocessor_report.txt (A summary of processing performance.)
  • preproc_dir/time_tracks.pkl (Contain the time track of the continous data and its type.)
EQTransformer.utils.hdf5_maker.stationListFromMseed(mseed_directory, station_locations, dir_json='./')[source]

Contributed by: Tyler Newton

Reads all miniseed files contained within subdirectories in the specified directory and generates a station_list.json file that describes the miniseed files in the correct format for EQTransformer.

Parameters:
  • mseed_directory (str) – String specifying the absolute path to the directory containing miniseed files. Directory must contain subdirectories of station names, which contain miniseed files in the EQTransformer format. Each component must be a seperate miniseed file, and the naming convention is GS.CA06.00.HH1__20190901T000000Z__20190902T000000Z .mseed, or more generally NETWORK.STATION.LOCATION.CHANNEL__STARTTIMESTAMP__ENDTIMESTAMP.mseed where LOCATION is optional.
  • station_locations (dict) – Dictonary with station names as keys and lists of latitude, longitude, and elevation as items. For example: {“CA06”: [35.59962, -117.49268, 796.4], “CA10”: [35.56736, -117.667427, 835.9]}
  • dir_json (str) – String specifying the path to the output json file.
Returns:

stations_list.json
Return type:

A dictionary containing information for the available stations.

Example

directory = ‘/Users/human/Downloads/eqt/examples/downloads_mseeds’ locations = {“CA06”: [35.59962, -117.49268, 796.4], “CA10”: [35.56736, -117.667427, 835.9]} stationListFromMseed(directoy, locations)