Merge branch 'develop' of ariadne.geophysik.ruhr-uni-bochum.de:/data/git/pylot into develop
Conflicts: pylot/core/active/activeSeismoPick.py
This commit is contained in:
Marcel Paffrath
commit
7edee1266a
10
autoPyLoT.py
10
autoPyLoT.py
@ -107,7 +107,7 @@ def autoPyLoT(inputfile):
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##########################################################
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# !automated picking starts here!
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picks = autopickevent(wfdat, parameter)
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finalpicks = picks
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##########################################################
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# locating
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if locflag == 1:
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@ -199,10 +199,13 @@ def autoPyLoT(inputfile):
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# write phase files for various location routines
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# HYPO71
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hypo71file = '%s/autoPyLoT_HYPO71.pha' % event
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if hasattr(finalpicks, 'getpicdic'):
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if finalpicks.getpicdic() is not None:
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writephases(finalpicks.getpicdic(), 'HYPO71', hypo71file)
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else:
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writephases(picks, 'HYPO71', hypo71file)
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else:
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writephases(picks, 'HYPO71', hypo71file)
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endsplash = '''------------------------------------------\n'
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-----Finished event %s!-----\n'
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@ -222,7 +225,7 @@ def autoPyLoT(inputfile):
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##########################################################
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# !automated picking starts here!
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picks = autopickevent(wfdat, parameter)
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finalpicks = picks
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##########################################################
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# locating
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if locflag == 1:
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@ -312,10 +315,13 @@ def autoPyLoT(inputfile):
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# write phase files for various location routines
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# HYPO71
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hypo71file = '%s/%s/autoPyLoT_HYPO71.pha' % (datapath, parameter.getParam('eventID'))
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if hasattr(finalpicks, 'getpicdic'):
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if finalpicks.getpicdic() is not None:
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writephases(finalpicks.getpicdic(), 'HYPO71', hypo71file)
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else:
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writephases(picks, 'HYPO71', hypo71file)
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else:
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writephases(picks, 'HYPO71', hypo71file)
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endsplash = '''------------------------------------------\n'
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-----Finished event %s!-----\n'
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@ -6,8 +6,8 @@
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#main settings#
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/DATA/Insheim #rootpath# %project path
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EVENT_DATA/LOCAL #datapath# %data path
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2013.02_Insheim #database# %name of data base
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e0019.048.13 #eventID# %event ID for single event processing
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2015.11_Insheim #database# %name of data base
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#eventID# %event ID for single event processing
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/DATA/Insheim/STAT_INFO #invdir# %full path to inventory or dataless-seed file
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PILOT #datastructure#%choose data structure
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0 #iplot# %flag for plotting: 0 none, 1 partly, >1 everything
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@ -38,7 +38,7 @@ AUTOFOCMEC_AIC_HOS4_ARH.in #focmecin# %name of focmec input file co
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49 49.4 #blat# %lattitude bounding for location map
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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#common settings picker#
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5.0 #pstart# %start time [s] for calculating CF for P-picking
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15.0 #pstart# %start time [s] for calculating CF for P-picking
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60.0 #pstop# %end time [s] for calculating CF for P-picking
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-1.0 #sstart# %start time [s] relative to P-onset for calculating CF for S-picking
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10.0 #sstop# %end time [s] after P-onset for calculating CF for S-picking
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@ -47,7 +47,7 @@ AUTOFOCMEC_AIC_HOS4_ARH.in #focmecin# %name of focmec input file co
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2 15 #bph1# %lower/upper corner freq. of first band pass filter H-comp. [Hz]
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2 20 #bph2# %lower/upper corner freq. of second band pass filter z-comp. [Hz]
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#special settings for calculating CF#
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%!!Be careful when editing the following!!
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%!!Edit the following only if you know what you are doing!!%
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#Z-component#
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HOS #algoP# %choose algorithm for P-onset determination (HOS, ARZ, or AR3)
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7.0 #tlta# %for HOS-/AR-AIC-picker, length of LTA window [s]
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@ -60,7 +60,7 @@ HOS #algoP# %choose algorithm for P-onset
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0.001 #addnoise# %add noise to seismogram for stable AR prediction
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3 0.1 0.5 0.5 #tsnrz# %for HOS/AR, window lengths for SNR-and slope estimation [tnoise,tsafetey,tsignal,tslope] [s]
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3.0 #pickwinP# %for initial AIC pick, length of P-pick window [s]
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8.0 #Precalcwin# %for HOS/AR, window length [s] for recalculation of CF (relative to 1st pick)
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6.0 #Precalcwin# %for HOS/AR, window length [s] for recalculation of CF (relative to 1st pick)
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0 #peps4aic# %for HOS/AR, artificial uplift of samples of AIC-function (P)
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0.2 #aictsmooth# %for HOS/AR, take average of samples for smoothing of AIC-function [s]
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0.1 #tsmoothP# %for HOS/AR, take average of samples for smoothing CF [s]
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@ -94,8 +94,8 @@ ARH #algoS# %choose algorithm for S-onset
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1.5 #minAICSSNR# %below this SNR the initial S pick is rejected
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#check duration of signal using envelope function#
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3 #minsiglength# %minimum required length of signal [s]
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1.2 #noisefactor# %noiselevel*noisefactor=threshold
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50 #minpercent# %required percentage of samples higher than threshold
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1.0 #noisefactor# %noiselevel*noisefactor=threshold
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40 #minpercent# %required percentage of samples higher than threshold
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#check for spuriously picked S-onsets#
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2.0 #zfac# %P-amplitude must exceed at least zfac times RMS-S amplitude
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#check statistics of P onsets#
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@ -147,6 +147,7 @@ class Survey(object):
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labelm = 'manual picks'
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labela = 'automatic picks'
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fig = plt.figure()
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ax = fig.add_subplot(111)
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@ -362,10 +363,19 @@ class Survey(object):
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count += 1
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ttfile.close()
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srcfile.close()
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print 'Wrote output for %s traces' %count
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print 'WARNING: output generated for FMTOMO-obsdata. Obsdata seems to take Lat, Lon, Depth and creates output for FMTOMO as Depth, Lat, Lon'
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print 'Dimensions of the seismic Array, transformed for FMTOMO, are Depth(%s, %s), Lat(%s, %s), Lon(%s, %s)'%(
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min(DepthAll), max(DepthAll), min(LatAll), max(LatAll), min(LonAll), max(LonAll))
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msg = 'Wrote output for {0} traces\n' \
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'WARNING: output generated for FMTOMO-obsdata. Obsdata seems ' \
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'to take Lat, Lon, Depth and creates output for FMTOMO as ' \
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'Depth, Lat, Lon\nDimensions of the seismic Array, ' \
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'transformed for FMTOMO, are Depth({1}, {2}), Lat({3}, {4}), ' \
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'Lon({5}, {6})'.format(count,
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min(DepthAll),
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max(DepthAll),
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min(LatAll),
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max(LatAll),
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min(LonAll),
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max(LonAll))
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print(msg)
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def countPickedTraces(self, shot):
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count = 0
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@ -1,7 +1,7 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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Created August/September 2015.
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Created autumn/winter 2015.
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:author: Ludger Küperkoch / MAGS2 EP3 working group
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"""
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@ -18,7 +18,7 @@ from pylot.core.read.data import Data
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class Magnitude(object):
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'''
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Superclass for calculating Wood-Anderson peak-to-peak
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amplitudes, local magnitudes, seismic moments
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amplitudes, local magnitudes, source spectra, seismic moments
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and moment magnitudes.
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'''
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@ -52,7 +52,7 @@ class Magnitude(object):
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:param: vp [m/s], P-velocity
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:param: integer
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:param: invdir, path to inventory or dataless-SEED file
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:param: invdir, name and path to inventory or dataless-SEED file
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:type: string
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'''
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@ -240,8 +240,8 @@ class M0Mw(Magnitude):
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# call subfunction to estimate source spectrum
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# and to derive w0 and fc
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[w0, fc] = calcsourcespec(selwf, picks[key]['P']['mpp'], \
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self.getinvdir(), az, inc, self.getQp(), \
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self.getiplot())
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self.getinvdir(), self.getvp(), delta, az, \
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inc, self.getQp(), self.getiplot())
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if w0 is not None:
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# call subfunction to calculate Mo and Mw
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@ -265,9 +265,25 @@ def calcMoMw(wfstream, w0, rho, vp, delta, inv):
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'''
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Subfunction of run_calcMoMw to calculate individual
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seismic moments and corresponding moment magnitudes.
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:param: wfstream
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:type: `~obspy.core.stream.Stream`
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:param: w0, height of plateau of source spectrum
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:type: float
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:param: rho, rock density [kg/m³]
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:type: integer
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:param: delta, hypocentral distance [km]
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:type: integer
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:param: inv, name/path of inventory or dataless-SEED file
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:type: string
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'''
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tr = wfstream[0]
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delta = delta * 1000 # hypocentral distance in [m]
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print("calcMoMw: Calculating seismic moment Mo and moment magnitude Mw for station %s ..." \
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% tr.stats.station)
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@ -278,7 +294,8 @@ def calcMoMw(wfstream, w0, rho, vp, delta, inv):
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Mo = w0 * 4 * np.pi * rho * np.power(vp, 3) * delta / (rP * freesurf)
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Mw = np.log10(Mo * 1e07) * 2 / 3 - 10.7 #after Hanks & Kanamori (1979), defined for [dyn*cm]!
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#Mw = np.log10(Mo * 1e07) * 2 / 3 - 10.7 # after Hanks & Kanamori (1979), defined for [dyn*cm]!
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Mw = np.log10(Mo) * 2 / 3 - 6.7 # for metric units
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print("calcMoMw: Calculated seismic moment Mo = %e Nm => Mw = %3.1f " % (Mo, Mw))
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@ -286,13 +303,40 @@ def calcMoMw(wfstream, w0, rho, vp, delta, inv):
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def calcsourcespec(wfstream, onset, inventory, azimuth, incidence, Qp, iplot):
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def calcsourcespec(wfstream, onset, inventory, vp, delta, azimuth, incidence, Qp, iplot):
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'''
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Subfunction to calculate the source spectrum and to derive from that the plateau
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(usually called omega0) and the corner frequency assuming Aki's omega-square
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source model. Has to be derived from instrument corrected displacement traces,
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thus restitution and integration necessary! Integrated traces have to be rotated
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into ray-coordinate system ZNE => LQT!
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thus restitution and integration necessary! Integrated traces are rotated
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into ray-coordinate system ZNE => LQT using Obspy's rotate modul!
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:param: wfstream
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:type: `~obspy.core.stream.Stream`
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:param: onset, P-phase onset time
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:type: float
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:param: inventory, path/name of inventory or dataless-SEED file
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:type: string
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:param: vp, Vp-wave velocity
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:type: float
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:param: delta, hypocentral distance [km]
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:type: integer
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:param: azimuth
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:type: integer
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:param: incidence
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:type: integer
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:param: Qp, quality factor for P-waves
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:type: integer
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:param: iplot, show results (iplot>1) or not (iplot(<2)
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:type: integer
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'''
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print ("Calculating source spectrum ....")
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@ -302,6 +346,7 @@ def calcsourcespec(wfstream, onset, inventory, azimuth, incidence, Qp, iplot):
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Q = int(qu[0])
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# A, i.e. power of frequency
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A = float(qu[1])
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delta = delta * 1000 # hypocentral distance in [m]
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fc = None
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w0 = None
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@ -343,7 +388,11 @@ def calcsourcespec(wfstream, onset, inventory, azimuth, incidence, Qp, iplot):
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LQT=cordat_copy.rotate('ZNE->LQT',azimuth, incidence)
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ldat = LQT.select(component="L")
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if len(ldat) == 0:
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# yet Obspy's rotate can not handle channels 3/2/1
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# if horizontal channels are 2 and 3
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# no azimuth information is available and thus no
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# rotation is possible!
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print("calcsourcespec: Azimuth information is missing, "
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"no rotation of components possible!")
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ldat = LQT.select(component="Z")
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# integrate to displacement
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@ -407,8 +456,12 @@ def calcsourcespec(wfstream, onset, inventory, azimuth, incidence, Qp, iplot):
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fi = np.where((f >= 1) & (f < 100))
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F = f[fi]
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YY = Y[fi]
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# correction for attenuation
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YYcor = YY.real*Q**A
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wa = 2 * np.pi * F #angular frequency
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D = np.exp((wa * delta) / (2 * vp * Q*F**A))
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YYcor = YY.real*D
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# get plateau (DC value) and corner frequency
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# initial guess of plateau
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w0in = np.mean(YYcor[0:100])
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@ -428,7 +481,8 @@ def calcsourcespec(wfstream, onset, inventory, azimuth, incidence, Qp, iplot):
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# use of conventional fitting
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[w02, fc2] = fitSourceModel(F, YYcor, Fcin, iplot)
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# get w0 and fc as median
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# get w0 and fc as median of both
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# source spectrum fits
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w0 = np.median([w01, w02])
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fc = np.median([fc1, fc2])
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print("calcsourcespec: Using w0-value = %e m/Hz and fc = %f Hz" % (w0, fc))
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@ -638,6 +638,11 @@ def autopickstation(wfstream, pickparam, verbose=False):
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plt.legend([p1, p2], ['Data', 'CF1'])
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plt.title('%s, P Weight=%d, SNR=None, '
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'SNRdB=None' % (tr_filt.stats.channel, Pweight))
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else:
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plt.title('%s, %s, P Weight=%d' % (tr_filt.stats.station,
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tr_filt.stats.channel,
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Pweight))
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plt.yticks([])
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plt.ylim([-1.5, 1.5])
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plt.ylabel('Normalized Counts')
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@ -826,6 +831,9 @@ def iteratepicker(wf, NLLocfile, picks, badpicks, pickparameter):
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badpicks[i][1] = picks[badpicks[i][0]]['P']['mpp'] - float(res)
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# get corresponding waveform stream
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msg = '#######################################################\n' \
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'iteratepicker: Re-picking station {0}'.format(badpicks[i][0])
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print(msg)
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wf2pick = wf.select(station=badpicks[i][0])
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# modify some picking parameters
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@ -836,8 +844,8 @@ def iteratepicker(wf, NLLocfile, picks, badpicks, pickparameter):
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Precalcwin_old = pickparameter.getParam('Precalcwin')
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noisefactor_old = pickparameter.getParam('noisefactor')
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zfac_old = pickparameter.getParam('zfac')
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pickparameter.setParam(pstart=badpicks[i][1] - wf2pick[0].stats.starttime \
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- pickparameter.getParam('tlta'))
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pickparameter.setParam(pstart=max([0, badpicks[i][1] - wf2pick[0].stats.starttime \
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- pickparameter.getParam('tlta')]))
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pickparameter.setParam(pstop=pickparameter.getParam('pstart') + \
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(3 * pickparameter.getParam('tlta')))
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pickparameter.setParam(sstop=pickparameter.getParam('sstop') / 2)
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