-
Notifications
You must be signed in to change notification settings - Fork 5
/
scedc_util.py
299 lines (277 loc) · 8.97 KB
/
scedc_util.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
import numpy as np
from pyrocko import model, util
from pyrocko import moment_tensor as pmt
pi = np.pi
def labels_from_events(events):
labels = []
for event in events:
mt = event.moment_tensor
strike = mt.strike1
dip = mt.dip1
rake = mt.rake1
strike = (strike/360.)*2*pi
dip = 1-(dip/90.)
rake = (((rake-180)/180.))*(pi/2.)
v = 0
w = 0
label = [strike, rake, dip, v, w]
labels.append(label)
return labels
def scedc_mt_to_pyrocko(moment_tensors):
'''
Need mtpar from https://github.com/rmodrak/mtpar/ as dependency.
This converts moment tensors from the SCEDC website to labels to compare
with estimates from the Machine Learning algorithm.
'''
from mtpar import cmt2tt15 # needed for conversion
labels = []
for mt in moment_tensors:
mt_use = mt.m6_up_south_east()
mt_input = []
for mt_comp in mt_use:
if mt_comp == 0:
mt_comp += 1e-32
else:
mt_comp = mt_comp/mt.moment
mt_input.append(mt_comp)
rho, v, w, kappa, sigma, h = cmt2tt15(np.array(mt_input))
strike = mt.strike1
dip = mt.dip1
rake = mt.rake1
strike = (strike/360.)*2*pi
dip = 1-(dip/90.)
rake = (((rake-180)/180.))*(pi/2.)
labels.append([strike, rake, dip, v, w])
labels = np.asarray(labels)
return labels
def get_all_scn_mechs():
mechs = np.loadtxt("ridgecrest/scn_plot.mech", dtype="str")
dates = []
strikes = []
rakes = []
dips = []
depths = []
lats = []
lons = []
events = []
for i in mechs:
dates.append(i[1][0:4]+"-"+i[1][5:7]+"-"+i[1][8:]+" "+i[2])
strikes.append(float(i[16]))
dips.append(float(i[17]))
rakes.append(float(i[18]))
lats.append(float(i[7]))
lons.append(float(i[8]))
depths.append(float(i[9]))
mt = pmt.MomentTensor(strike=float(i[16]), dip=float(i[17]), rake=float(i[18]),
magnitude=float(i[5]))
event = model.event.Event(lat=float(i[7]), lon=float(i[8]), depth=float(i[9]),
moment_tensor=mt, magnitude=float(i[5]),
time=util.str_to_time(i[1][0:4]+"-"+i[1][5:7]+"-"+i[1][8:]+" "+i[2]))
events.append(event)
return events
def scedc_fm_to_pyrocko(file):
mechs = np.loadtxt(file, dtype="str")
dates = []
strikes = []
rakes = []
dips = []
depths = []
lats = []
lons = []
events = []
errors_h = []
errors_t = []
errors_z = []
for i in mechs:
dates.append(i[1][0:4]+"-"+i[1][5:7]+"-"+i[1][8:]+" "+i[2])
strikes.append(float(i[16]))
dips.append(float(i[17]))
rakes.append(float(i[18]))
lats.append(float(i[7]))
lons.append(float(i[8]))
depths.append(float(i[9]))
if float(i[13])*1000. > 4000.:
errors_h.append(2000.)
if float(i[13])*1000. < 1000.:
errors_h.append(2000.)
else:
errors_h.append(6000.)
if float(i[14])*1000. > 2000.:
errors_z.append(2000.)
else:
errors_z.append(2000.)
errors_t.append(float(i[15]))
mt = pmt.MomentTensor(strike=float(i[16]), dip=float(i[17]),
rake=float(i[18]),
magnitude=float(i[5]))
event = model.event.Event(lat=float(i[7]), lon=float(i[8]),
depth=float(i[9]),
moment_tensor=mt, magnitude=float(i[5]),
time=util.str_to_time(i[1][0:4]+"-"+i[1][5:7]+"-"+i[1][8:]+" "+i[2]))
events.append(event)
return events, errors_h, errors_t, errors_z
def mxy2mt(M):
mt = pmt.MomentTensor(mnn=M[0], mee=M[1], mdd=M[2], mne=M[3],
mnd=M[4], med=M[5])
return mt
def mts_paper_scedc():
'''
Hardcoded copy of the moment tensors from the scedc website.
Retrieved: 23.12.2020
'''
mts = []
times = []
events = []
#https://service.scedc.caltech.edu/MomentTensor/solutions/web_38460967/ci38460967_MT.html
time="2019-07-06 09:28:29"
Mo=2.69e+23
Mxx=-1.803e+23
Mxy=-1.840e+23
Mxz=2.476e+22
Myy=2.068e+23
Myz=-1.784e+22
Mzz=-2.650e+22
lat = 35.8978
lon = -117.7250
depth = 3900
M = [Mxx, Myy, Mzz, Mxy, Mxz, Myz]
mt = pmt.MomentTensor(mnn=M[0], mee=M[1], mdd=M[2], mne=M[3], mnd=M[4], med=M[5])
mts.append(mt)
times.append(time)
event = model.Event(time=util.stt(time), moment_tensor=M, lat=lat,
lon=lon, depth=depth)
events.append(event)
# https://service.scedc.caltech.edu/MomentTensor/solutions/web_38463551/ci38463551_MT.html
time="2019-07-06 13:06:55"
Mo=6.91e+22
Mxx=-4.574e+22
Mxy=4.274e+21
Mxz=1.557e+22
Myy=7.768e+22
Myz=-1.884e+22
Mzz=-3.194e+22
lat = 35.9280
lon = -117.7063
depth = 1500
M = [Mxx, Myy, Mzz, Mxy, Mxz, Myz]
mt = pmt.MomentTensor(mnn=M[0], mee=M[1], mdd=M[2], mne=M[3], mnd=M[4], med=M[5])
mts.append(mt)
times.append(time)
event = model.Event(time=util.stt(time), moment_tensor=M, lat=lat,
lon=lon, depth=depth)
events.append(event)
# https://service.scedc.caltech.edu/MomentTensor/solutions/web_38466495/ci38466495_MT.html
time="2019-07-06 17:59:15"
Mo=8.70e+21
Mxx=-4.447e+21
Mxy=-6.931e+21
Mxz=-1.326e+21
Myy=5.598e+21
Myz=9.049e+20
Mzz=-1.151e+21
lat = 35.8997
lon = -117.7347
depth = 3000
M = [Mxx, Myy, Mzz, Mxy, Mxz, Myz]
mt = pmt.MomentTensor(mnn=M[0], mee=M[1], mdd=M[2], mne=M[3], mnd=M[4], med=M[5])
mts.append(mt)
times.append(time)
event = model.Event(time=util.stt(time), moment_tensor=M, lat=lat,
lon=lon, depth=depth)
events.append(event)
# https://service.scedc.caltech.edu/MomentTensor/solutions/web_38517119/ci38517119_MT.html
time="2019-07-10 12:00:05"
Mo=6.52e+21
Mxx=-1.755e+21
Mxy=-1.499e+21
Mxz=3.140e+21
Myy=6.118e+21
Myz=-8.072e+20
Mzz=-4.363e+21
lat = 35.8765
lon = -117.7068
depth = 4400
M = [Mxx, Myy, Mzz, Mxy, Mxz, Myz]
mt = pmt.MomentTensor(mnn=M[0], mee=M[1], mdd=M[2], mne=M[3], mnd=M[4], med=M[5])
mts.append(mt)
times.append(time)
event = model.Event(time=util.stt(time), moment_tensor=M, lat=lat,
lon=lon, depth=depth)
events.append(event)
# https://service.scedc.caltech.edu/MomentTensor/solutions/web_38538991/ci38538991_MT.html
time="2019-07-11 23:45:19"
Mo=1.97e+22
Mxx=-8.999e+21
Mxy=-1.598e+22
Mxz=6.197e+21
Myy=9.964e+21
Myz=2.233e+21
Mzz=-9.657e+20
lat = 35.9482
lon = -117.7057
depth = 1500
M = [Mxx, Myy, Mzz, Mxy, Mxz, Myz]
mt = pmt.MomentTensor(mnn=M[0], mee=M[1], mdd=M[2], mne=M[3], mnd=M[4], med=M[5])
mts.append(mt)
times.append(time)
event = model.Event(time=util.stt(time), moment_tensor=M, lat=lat,
lon=lon, depth=depth)
events.append(event)
#https://service.scedc.caltech.edu/MomentTensor/solutions/web_38644943/ci38644943_MT.html
time="2019-07-26 00:42:48"
Mo=1.62e+23
Mxx=-6.930e+22
Mxy=9.560e+21
Mxz=3.263e+22
Myy=1.860e+23
Myz=-2.825e+22
Mzz=-1.167e+23
lat = 35.9237
lon = -117.7115
depth = 1900
M = [Mxx, Myy, Mzz, Mxy, Mxz, Myz]
mt = pmt.MomentTensor(mnn=M[0], mee=M[1], mdd=M[2], mne=M[3], mnd=M[4], med=M[5])
mts.append(mt)
times.append(time)
event = model.Event(time=util.stt(time), moment_tensor=M, lat=lat,
lon=lon, depth=depth)
events.append(event)
# https://service.scedc.caltech.edu/MomentTensor/solutions/web_38996632/ci38996632_MT.html
time="2019-08-22 20:49:50"
Mo=2.72e+23
Mxx=-8.042e+22
Mxy=-2.026e+23
Mxz=1.983e+22
Myy=2.492e+23
Myz=1.635e+22
Mzz=-1.688e+23
lat = 35.9077
lon = -117.7092
depth = 4900
M = [Mxx, Myy, Mzz, Mxy, Mxz, Myz]
mt = pmt.MomentTensor(mnn=M[0], mee=M[1], mdd=M[2], mne=M[3], mnd=M[4], med=M[5])
mts.append(mt)
times.append(time)
event = model.Event(time=util.stt(time), moment_tensor=M, lat=lat,
lon=lon, depth=depth)
events.append(event)
# https://service.scedc.caltech.edu/MomentTensor/solutions/web_38999296/ci38999296_MT.html
time="2019-08-23 05:34:10"
Mo=3.87e+22
Mxx=-1.383e+22
Mxy=-2.949e+22
Mxz=1.231e+22
Myy=2.220e+22
Myz=9.991e+21
Mzz=-8.375e+21
lat = 35.9078
lon = -117.7047
depth = 7200
M = [Mxx, Myy, Mzz, Mxy, Mxz, Myz]
mt = pmt.MomentTensor(mnn=M[0], mee=M[1], mdd=M[2], mne=M[3], mnd=M[4], med=M[5])
mts.append(mt)
times.append(time)
event = model.Event(time=util.stt(time), moment_tensor=M, lat=lat,
lon=lon, depth=depth)
events.append(event)
return mts, times, events