def test_align_site_responses_mean(self):
eps = 1e-7
r = {
'E1': {
'R': {
'S1': [4],
'S2': [8]
},
'W': [1]
},
'E2': {
'R': {
'S1': [8],
'S2': [1000]
},
'W': [2]
}
}
r = {'events': r}
std1 = _Rstd(_collectR(r))
align_site_responses(r)
std2 = _Rstd(_collectR(r))
s1 = r['events']['E1']['R']['S1'][0]
s2 = r['events']['E2']['R']['S1'][0]
s3 = r['events']['E1']['R']['S2'][0]
s4 = r['events']['E2']['R']['S2'][0]
self.assertLess(abs(s1 * s2 * s3 * s4 - 1), eps)
self.assertLess(std2, std1)
def test_align_site_responses_offset(self):
eps = 1e-7
r = {
'E1': {
'R': {
'S1': [4],
'S2': [4]
},
'W': [1]
},
'E2': {
'R': {
'S1': [8],
'S2': [8]
},
'W': [2]
}
}
r = {'events': r}
std1 = _Rstd(_collectR(r))
r2 = align_site_responses(r)
std2 = _Rstd(_collectR(r2))
s1 = r2['events']['E1']['R']['S1'][0]
s2 = r2['events']['E2']['R']['S1'][0]
w1 = r2['events']['E1']['W'][0]
w2 = r2['events']['E2']['W'][0]
self.assertLess(abs(s1 - 1), eps)
self.assertLess(abs(s2 - 1), eps)
self.assertLess(abs(w1 - 4), eps)
self.assertLess(abs(w2 - 16), eps)
self.assertLess(std2, std1)
def test_align_site_responses_large_dataset_usarray(self):
eps = 1e-5
fname = resource_filename('qopen', 'tests/data/usarray_dataset.json')
with open(fname) as f:
r = json.load(f)
sta = 'TA.B12A'
rsp = 10
std1 = _Rstd(_collectR(r))
r2 = align_site_responses(deepcopy(r), station=sta, response=rsp)
std2 = _Rstd(_collectR(r2))
Rm = _Rmean(_collectR(r2, only={sta}))
self.assertLess(abs(Rm - np.log(rsp)), eps)
rsp = 100
align_site_responses(r, response=rsp)
std3 = _Rstd(_collectR(r))
self.assertLess(abs(_Rmean(_collectR(r)) - np.log(rsp)), eps)
self.assertLess(std2, std1)
self.assertLess(std3, std1)
self.assertLess(abs(std2 - std3), eps)
def test_align_site_responses_only_largest_area(self):
eps = 1e-7
r = {
'E1': {
'R': {
'S1': [4],
'S2': [6],
'S3': [500],
'S0': [None]
},
'W': [1]
},
'E2': {
'R': {
'S1': [8],
'S2': [50],
'S4': [3]
},
'W': [2]
},
'E3': {
'R': {
'S1': [None],
'S2': [100],
'S3': [10000]
},
'W': [4]
},
'E4': {
'R': {
'S5': [50000]
},
'W': [8]
},
'E5': {
'R': {
'S6': [5000],
'S7': [None]
},
'W': [1]
},
'E6': {
'R': {
'S7': [1],
'S8': [None]
},
'W': [1]
},
'E7': {
'R': {
'S9': [1],
'S10': [None]
},
'W': [1]
},
}
r = {'events': r}
rsp = 100
std1 = _Rstd(_collectR(r))
r2 = align_site_responses(deepcopy(r), response=rsp, station='S1')
std2 = _Rstd(_collectR(r2))
s11 = r2['events']['E1']['R']['S1'][0]
s12 = r2['events']['E2']['R']['S1'][0]
self.assertLess(abs((s11 * s12)**0.5 - rsp), eps)
self.assertLess(std2, std1)
rsp = 0.001
align_site_responses(r, response=rsp)
std3 = _Rstd(_collectR(r))
s11 = r['events']['E1']['R']['S1'][0]
s12 = r['events']['E2']['R']['S1'][0]
s13 = r['events']['E3']['R']['S1'][0]
s21 = r['events']['E1']['R']['S2'][0]
s22 = r['events']['E2']['R']['S2'][0]
s23 = r['events']['E3']['R']['S2'][0]
s31 = r['events']['E1']['R']['S3'][0]
s33 = r['events']['E3']['R']['S3'][0]
s4 = r['events']['E2']['R']['S4'][0]
s5 = r['events']['E4']['R']['S5'][0]
w4 = r['events']['E4']['W'][0]
s = ((s11 * s12)**0.5 * (s21 * s22 * s23)**(1. / 3) *
(s31 * s33)**0.5 * s4)**0.25
Rm = _Rmean(_collectR(r))
self.assertLess(abs(Rm - np.log(s)), eps)
self.assertLess(abs(s - rsp), eps)
self.assertLess(abs(Rm - np.log(rsp)), eps)
self.assertEqual(s13, None)
self.assertEqual(s5, None)
self.assertEqual(w4, None)
self.assertLess(std3, std1)
self.assertLess(abs(std2 - std3), eps)
