marcel/pylot
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merge origin/develop into develop

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Marcel Paffrath 2017-06-20 09:57:52 +02:00
commit 718879fad0
2 changed files with 25 additions and 21 deletions
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7
pylot/core/analysis/magnitude.py
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@ -17,8 +17,11 @@ from pylot.core.pick.utils import getsignalwin, crossings_nonzero_all, \
from pylot.core.util.utils import common_range, fit_curve
def richter_magnitude_scaling(delta):
distance = np.arange(0, 1000, 10)
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,
distance = np.array([0, 10, 20, 25, 30, 35,40, 45, 50, 60, 70, 75, 85, 90, 100, 110,
120, 130, 140, 150, 160, 170, 180, 190, 200, 210, 230, 240, 250,
260, 270, 280, 290, 300, 310, 320, 330, 340, 350, 360, 370, 380,
390, 400, 430, 470, 510, 560, 600, 700, 800, 900, 1000])
richter_scaling = np.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,

15
pylot/core/pick/picker.py
View File

@ -223,9 +223,15 @@ class AICPicker(AutoPicker):
# find maximum within slope determination window
# 'cause slope should be calculated up to first local minimum only!
imax = np.argmax(self.Data[0].data[islope])
iislope = islope[0][0:imax]
if len(iislope) <= 2:
# calculate slope from initial onset to maximum of AIC function
print("AICPicker: Not enough data samples left for slope calculation!")
print("Calculating slope from initial onset to maximum of AIC function ...")
imax = np.argmax(aicsmooth[islope])
if imax == 0:
print('AICPicker: Maximum for slope determination right at the beginning of the window!')
print('Choose longer slope determination window!')
print("AICPicker: Maximum for slope determination right at the beginning of the window!")
print("Choose longer slope determination window!")
if self.iplot > 1:
if not self.fig:
fig = plt.figure() #self.iplot) ### WHY? MP MP
@ -240,11 +246,6 @@ class AICPicker(AutoPicker):
ax.set_yticks([])
ax.set_title(self.Data[0].stats.station)
return
iislope = islope[0][0:imax]
if len(iislope) <= 3:
# calculate slope from initial onset to maximum of AIC function
imax = np.argmax(aicsmooth[islope])
iislope = islope[0][0:imax]
dataslope = self.Data[0].data[iislope]
# calculate slope as polynomal fit of order 1