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Richter magnitude scaling is hard-wired, should not be handled internal. First step to flexible local-

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magnitude estimation.
This commit is contained in:
Ludger Küperkoch 2017-06-19 11:37:08 +02:00
parent 08b9cec674
commit 9aba69686d
1 changed files with 7 additions and 3 deletions
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10
pylot/core/analysis/magnitude.py
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@ -17,10 +17,14 @@ from pylot.core.pick.utils import getsignalwin, crossings_nonzero_all, \
from pylot.core.util.utils import common_range, fit_curve from pylot.core.util.utils import common_range, fit_curve
def richter_magnitude_scaling(delta): def richter_magnitude_scaling(delta):
relation = np.loadtxt(os.path.join(os.path.expanduser('~'), distance = np.arange(0, 1000, 10)
'.pylot', 'richter_scaling.data')) richter_scaling = array([1.4, 1.5, 1.7, 1.9, 2.1, 2.3, 2.4, 2.5, 2.6, 2.8, 2.8, 2.9,
2.9, 3.0, 3.1, 3.1, 3.2, 3.2, 3.3, 3.3, 3.4, 3.4, 3.5, 3.5,
3.6, 3.7, 3.7, 3.8, 3.8, 3.9, 3.9, 4.0, 4.0, 4.1, 4.2, 4.2,
4.2, 4.2, 4.3, 4.3, 4.3, 4.4, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9,
5.1, 5.2, 5.4, 5.5, 5.7])
# prepare spline interpolation to calculate return value # prepare spline interpolation to calculate return value
func, params = fit_curve(relation[:, 0], relation[:, 1]) func, params = fit_curve(distance, richter_scaling)
return func(delta, params) return func(delta, params)