CSEP 2 CATALOG FORMAT

Summary

The general philosophy is that the file type should be human readable and easy to use for both researchers and developers. We should support multiple readers to ingest various catalog formats into the PyCSEP codebase.

The catalog will initially be defined as an ASCII .csv format where each row corresponds to a single event. This file will have the following headers:

longitude, latitude, M, time_string format="%Y-%m-%d %H:%M:%S.%f", depth, [catalog_id]

longitude: longitude in decimal degrees
latitude: latitude in decimal degrees
M: magnitude arbitrary units
time string (UTC): year-month-day hour-minute-second.fraction_second. strptime format="%Y-%m-%d %H:%M:%S.%f": example: 1985-01-01 00:00:00.0
depth: hypocenter depth in (km)
catalog_id: indicates type of catalog

• observed: -1
• simulated: [0, n_cat-1]

This format can be easily extended to additional file types, including more advanced storage types like HDF5 or databases. Modelers can chose an arbitrary number of catalogs to store within a file. Events will be mapped to catalogs through the catalog_id field.

Example Catalog

Downloadable Example

lon,lat,M,epoch_time,depth,catalog_id,event_id
lon,lat,M,time_string,depth,catalog_id -117.43017,35.616665,4.73,2019-07-06 03:22:35.630000,9.35,-1
-117.7365,35.891,4.64,2019-07-06 03:22:48.300000,9.1,-1
-117.617836,35.803165,4.84,2019-07-06 03:23:50.720000,11.44,-1
-117.67083,35.86067,4.61,2019-07-06 03:25:27.970000,10.32,-1
-117.72583,35.913834,4.5,2019-07-06 03:27:07.010000,8.0,-1
-117.431335,35.530334,4.57,2019-07-06 03:27:11.370000,3.83,-1
-117.7115,35.902832,4.51,2019-07-06 03:29:32.080000,3.18,-1
-117.35817,35.556667,4.49,2019-07-06 03:30:25.050000,8.71,-1
-117.73033,35.890335,4.17,2019-07-06 03:32:46.660000,6.15,-1
-117.505165,35.714832,4.13,2019-07-06 03:33:09.850000,1.74,-1
-117.466835,35.65217,4.09,2019-07-06 03:35:05.420000,1.97,-1
-117.73383,35.902832,4.35,2019-07-06 03:36:16.460000,7.27,-1