/
MiscFunctions.py
483 lines (400 loc) · 16.4 KB
/
MiscFunctions.py
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import os
import numpy as np
import obspy
import scipy.optimize as opt
# Ricker wavelet for convolution
def ricker(f, length=0.512, dt=0.001):
t = np.linspace(-length/2, (length-dt)/2, length/dt)
y = (1.-2.*(np.pi**2)*(f**2)*(t**2))*np.exp(-(np.pi**2)*(f**2)*(t**2))
return t, y
def rickerInt(t0,tmin,tmax,f, dt=0.001):
omega = f
n = round((tmax-tmin)/dt)
t = tmin + np.linspace(0,n,n+1)*dt
#print t
g = (t-t0)*np.exp(-(np.pi*omega*(t-t0))**2)
return t,g
def VerySmoothBump(t0,tmin,tmax,f, dt=0.001):
n = int(round((tmax-tmin)/dt))
t = tmin + np.linspace(0,n,n+1)*dt
omega=f
y=t*0
print n
for i in range(n+1):
ta = omega*(t[i]-t0)
if ta<0:
y[i] = 0
else:
if ta>1:
y[i] = 0
else:
y[i] = - 1024*ta**10 + 5120*ta**9 - 10240*ta**8 + 10240*ta**7 - 5120*ta**6 + 1024*ta**5
return t,y
# Coordinate conversion for azimuths:
def DistAndAz(x, y):
rho = np.sqrt(x**2 + y**2)
#phi = np.arctan2(y, x)
if x>0:
phi = 90-np.arctan(y/x)/(2*np.arccos(0))*180
#print phi
else:
phi = 270 -np.arctan(y/x)/(2*np.arccos(0))*180
return(rho, phi)
def pol2cart(rho, phi):
x = rho * np.cos(phi)
y = rho * np.sin(phi)
return(x, y)
# Start with the velocity model:
def makeVelocityModel(filename):
fname = filename
with open(fname) as f:
layers = f.readlines()
layers.pop(0)
y=np.zeros((len(layers),4+len(str.split(layers[0]))))
vel_name = 'vel_model_model96'
with open(vel_name) as f:
model_file = f.readlines()
model_file.pop()
i=0;
for line in layers:
y[i,]=np.hstack((np.asarray(str.split(line)).astype(np.float),[0,0,1,1]))
y[i,1:4] = y[i,1:4]/1000
i+=1
if len(layers)>1:
layer_thickness = np.hstack((y[0,0], y[1:y.shape[0],0]-y[0:y.shape[0]-1,0]))/1000
y[:,0] = layer_thickness
vel_to_add = str("")
for i in range(y.shape[0]):
vel_to_add = vel_to_add + (" %f"*10)[1:] % tuple(y[i,:]) + "\n"
final_vel = "".join(model_file) + vel_to_add
with open("Vel_Model_Final", "w") as text_file:
text_file.write("%s" % final_vel)
final_name = "Vel_Model_Final"
return final_name
# Make stations and receivers files
def MakeStationAndSourceFiles(Rec_filename,Source_filename,tMax,prefix_dest = '' ):
#receiver_name = "receiver.dat"
receiver_name = Rec_filename
#source_name = "source.dat"
source_name = Source_filename
n_per_2f = 10
with open(source_name) as f:
source = f.readlines()
source_coords = np.asarray(str.split(source[0])).astype(np.float)
dt = 0.5/source_coords[4]/n_per_2f
n_of_two = np.float(np.floor(np.log(tMax/dt)/np.log(2))+1)
#print tMax/dt
nPts = np.float(2)**n_of_two
#print nPts
i=0
with open(receiver_name) as f:
stations = f.readlines()
stations.pop()
#stations.pop()
station_list = list()
sta_azimuths = list()
stationCoords = list()
for station in stations:
if len(np.asarray(str.split(station)).astype(np.float)) == 0: continue
coords = np.asarray(str.split(station)).astype(np.float)
stationCoords.append(coords)
i+=1;
path_to_station = prefix_dest + "station" + ("%04d" % i)
os.makedirs(path_to_station)
# Save depth into a file
with open(path_to_station + "/" + "sta_depth", "w") as text_file:
text_file.write("%3.3f" % (float(coords[2])/1000))
station_list.append(path_to_station + "/")
with open(path_to_station + "/" + "eq_depth", "w") as text_file:
# print source_coords
text_file.write("%3.3f" % (float(source_coords[2])/1000))
# Save a distance file
# DIST DT NPTS T0 VRED
rec_m_s = (-source_coords[0:2] + coords[0:2])
dist, azimuth = DistAndAz(rec_m_s[0],rec_m_s[1])
dist = dist/1000 # to km
#azimuth =azimuth/2*np.arccos(0) * 180
sta_azimuths.append(azimuth)
with open(path_to_station + "/" + "sta_dfile", "w") as text_file:
text_file.write("%3.3f %3.5f %d %3.3f %3.3f" % tuple((dist,dt,nPts,0,0)))
return station_list, stationCoords, sta_azimuths, source_coords
def circshift(tr, ind):
"""
circular shift of tr by ind samples
USAGE
trshift = circshift(tr, ind)
INPUTS
tr - trace to shift
ind - number of samples to shift tr.data
OUTPUTS
"""
trshift = tr[0].copy()
trshift.data = np.roll(trshift.data, ind)
#trshift.stats.starttime = trshift.stats.starttime + ind*(1./trshift.stats.sampling_rate)
trshift = obspy.Stream(trshift)
return trshift
def GetPSArrivalRayTracing(sta_coords = np.array([0,0,0.0]), eq_coords =np.array([0,0,3900]),model_name = 'VpVs.nd'):
# play witht the Pyrocko modules
from pyrocko import cake
import matplotlib
matplotlib.style.use('ggplot')
from LocationsOnGrid import LocationsOnGridSmall
eq_depth = eq_coords[2]
so_offset = np.linalg.norm(sta_coords[:2] - eq_coords[:2])
model =cake.load_model('VpVs.nd')
_,_,_,stCoords = LocationsOnGridSmall(receiver_name='receiver.dat',NX=1,NY = 1,NZ =1) # Get the receiver locations
Distance = so_offset*cake.m2d
p_transmission_paths = model.arrivals(distances = [Distance],phases = [cake.PhaseDef('p')],zstart = eq_depth)
s_transmission_paths = model.arrivals(distances = [Distance],phases = [cake.PhaseDef('s')],zstart = eq_depth)
for rayP,rayS in zip(p_transmission_paths,s_transmission_paths):
p_arrival = rayP.t
print p_arrival
s_arrival = rayS.t
print s_arrival
return p_arrival,s_arrival,so_offset,model
def GetPSArrivalRayTracingMC(sta_coords = np.array([0,0,0.0]), eq_coords =np.array([0,0,3900]),model=None,mode='POnly'):
# play witht the Pyrocko modules
from pyrocko import cake
#from LocationsOnGrid import LocationsOnGridSmall
eq_depth = eq_coords[2]
so_offset = np.linalg.norm(sta_coords[:2] - eq_coords[:2])
#_,_,_,stCoords = LocationsOnGridSmall(receiver_name='receiver.dat',NX=1,NY = 1,NZ =1) # Get the receiver locations
Distance = so_offset*cake.m2d
p_transmission_paths = model.arrivals(distances = [Distance],phases = [cake.PhaseDef('p')],zstart = eq_depth,zstop=sta_coords[2])
for rayP in p_transmission_paths:
p_arrival = rayP.t
#print p_arrival
if len(p_transmission_paths)<1:
p_arrival = None
if not(mode == 'POnly'):
s_transmission_paths = model.arrivals(distances = [Distance],phases = [cake.PhaseDef('s')],
zstart = eq_depth,zstop=sta_coords[2])
for rayS in s_transmission_paths:
s_arrival = rayS.t
#print s_arrival
else:
s_transmission_paths=[]
if len(s_transmission_paths)<1:
s_arrival = None
return p_arrival,s_arrival,so_offset
def getAmplitudeEnvelopeFeatures(traceName = '/home/anton/WI_Models/AllTraces/M0055_station_0003_location_Class036_channel_Z.mseed',st=1.2,fn=2.2):
import obspy
import numpy as np
from obspy.signal.filter import envelope
from scipy.integrate import simps
from scipy.stats import kurtosis
trace = obspy.read(traceName)
trace.normalize()
#data_envelopeM = obspy.signal.filter.envelope(trace.data)
TraceCopy = trace[0].copy()
envTrace = trace[0].copy()
envTrace.data = envelope(TraceCopy.data)
# Feature 0 : peakedness
KurtosisEnvelopeDiff =kurtosis(np.diff(envTrace.data))
# Feature 1
StdEnvelope = envTrace.data.std()
# Feature 2
MeanEnvelope = envTrace.data.mean()
envTrace.trim(starttime = trace[0].stats.starttime + st,endtime = trace[0].stats.starttime + fn)
TraceCopy.trim(starttime = trace[0].stats.starttime + st,endtime = trace[0].stats.starttime + fn)
#Integrate the envelope in the region:
# Feature 3
EnvelopeIntegral = simps(y = envTrace.data,x = envTrace.times()) / (envTrace.stats.endtime - envTrace.stats.starttime)
EnergyInTheSubTrace = simps(y = TraceCopy.data**2,x = TraceCopy.times())
EnergyWholeTrace = simps(y = trace[0].data**2,x = trace[0].times())
#Feature 4
EnergyRatio = EnergyInTheSubTrace/EnergyWholeTrace
#Feature 5
zc= np.sign( np.diff(envTrace.data) )
zc[zc==0] = -1 # replace zeros with -1
zcFeature = np.where(np.diff(zc))[0].shape[0]
return KurtosisEnvelopeDiff,StdEnvelope,MeanEnvelope,EnvelopeIntegral,EnergyRatio,zcFeature
def getAmplitudeEnvelopeFeaturesReal(traceName = '/home/anton/WI_Models/AllTraces/M0055_station_0003_location_Class036_channel_Z.mseed',
st=1.2,fn=2.2,fmin=1,fmax=10,starttime=None,endtime=None ):
import obspy
import numpy as np
from obspy.signal.filter import envelope
from scipy.integrate import simps
from scipy.stats import kurtosis
trace = obspy.read(traceName)
if trace[0].stats.starttime.year < starttime.year:
return None
trace.taper(type= "hann",max_percentage=0.2)
trace.filter(type='bandpass',freqmin=fmin,freqmax=fmax)
trace.trim(starttime = starttime,endtime = endtime)
trace.normalize()
trace.taper(type= "cosine",max_percentage=0.05)
trace.plot(type='relative')
#data_envelopeM = obspy.signal.filter.envelope(trace.data)
TraceCopy = trace[0].copy()
envTrace = trace[0].copy()
envTrace.data = envelope(TraceCopy.data)
# Feature 0 : peakedness
KurtosisEnvelopeDiff =kurtosis(np.diff(envTrace.data))
# Feature 1
StdEnvelope = envTrace.data.std()
# Feature 2
MeanEnvelope = envTrace.data.mean()
envTrace.trim(starttime = trace[0].stats.starttime + st,endtime = trace[0].stats.starttime + fn)
TraceCopy.trim(starttime = trace[0].stats.starttime + st,endtime = trace[0].stats.starttime + fn)
#Integrate the envelope in the region:
# Feature 3
EnvelopeIntegral = simps(y = envTrace.data,x = envTrace.times()) / (envTrace.stats.endtime - envTrace.stats.starttime)
EnergyInTheSubTrace = simps(y = TraceCopy.data**2,x = TraceCopy.times())
EnergyWholeTrace = simps(y = trace[0].data**2,x = trace[0].times())
#Feature 4
EnergyRatio = EnergyInTheSubTrace/EnergyWholeTrace
#Feature 5
zc= np.sign( np.diff(envTrace.data) )
zc[zc==0] = -1 # replace zeros with -1
zcFeature = np.where(np.diff(zc))[0].shape[0]
return KurtosisEnvelopeDiff,StdEnvelope,MeanEnvelope,EnvelopeIntegral,EnergyRatio,zcFeature
def getNonLinLocPhaseLine(de =obspy.UTCDateTime('2015-01-04T07:10:50.047000Z'),sta='WSK01',ch='Z',phase = 'P'):
# Get the Phase File:
string_phase="%6s %4s %4s %1s %6s %1s %s GAU %9.2e %9.2e %9.2e %9.2e\n"
instr = 'BB'
onset='?'
firstMotion='?'
errmag=0.0
coda=-1.0
amp=-1.0
period=-1.0
date = '%4d%02d%02d %02d%02d %7.4f' % (de.year,de.month,de.day,de.hour,de.minute,(de.second+de.microsecond*1e-6))
phase_complete = string_phase % (sta,instr,ch,onset,phase,firstMotion,date,errmag,coda,amp,period)
return phase_complete
def row_to_utm(row):
import utm
#print row.Latitude, row.Longitude
utmcoord = utm.from_latlon(row.Latitude, row.Longitude)
return utmcoord[0],utmcoord[1]
def toUTC(row):
import obspy
date_list=[row.Year,row.Month,row.Day,row.Hour,row.Minute,row.Second]
strUTC = obspy.UTCDateTime('%d-%02d-%02dT%02d:%02d:%2.3f' % tuple(date_list))
return strUTC
def DoForwardModel(eqdf,stdf,model):
Neq=eqdf.shape[0]
Nstations = stdf.shape[0]
tp=np.zeros((Neq,Nstations))
ts=np.zeros_like(tp)
so=np.zeros_like(tp)
for eq_index,rowEq in eqdf.iterrows():
eq_coords = np.array([rowEq.x,rowEq.y,rowEq.z])
for st_index,rowSt in stdf.iterrows():
# Get the time for P,S arrivals and offset
p,s,o= GetPSArrivalRayTracingMC(sta_coords=[rowSt.x,rowSt.y,rowSt.z],
eq_coords=eq_coords,
model=model)
tp[eq_index,st_index],ts[eq_index,st_index],so[eq_index,st_index]=p,s,o
# print ' Done with station %d and eq %d ' % (st_index,eq_index)
return tp,ts,so
def MakeModel(model_vector):
from pyrocko import cake
model1=cake.LayeredModel()
i=0
for vp,ztop,zbot in zip(model_vector['Vp'],model_vector['Ztop'],model_vector['Zbot']):
# if i>0:
# disc=cake.Discontinuity(z=ztop,name='zzz')
# model1.append(disc)
vs=vp/1.7
rho=0.35*vp**(0.25)*1000
m=cake.Material(vp=vp,vs=vs,rho=rho,qp=10000,qs=10000)
if i==0:
disc=cake.Surface(0,m)
model1.append(disc)
layer=cake.HomogeneousLayer(ztop,zbot,m)
model1.append(layer)
i+=1
return model1
def ChangeModel(model,new_m):
model._pathcache = {}
for l,new_zt,new_zb,new_vp in zip(model.layers(), new_m['Ztop'],
new_m['Zbot'],new_m['Vp']) :
l.mtop.vp=new_vp
l.mtop.rho=0.31*new_vp**(0.25)*1000
l.ztop=new_zt
l.zbot=new_zb
return model
def GetHjVjRhoj(vels ,
rhos ,
depths,
source_depth):
# depths = np.array(depths)
# vels=np.array(vels)
if source_depth < 0:
print " Source depth is negative, halted.."
ind_layers_above = np.argwhere(depths<source_depth).flatten()
if ind_layers_above.shape[0] == 0:
#print 'Event in the top layer'
Hj = np.array([source_depth])
Vj= np.array([vels[0]])
rhoj= np.array([rhos[0]])
return Hj,Vj, rhoj
#returnn Hj,Vj
#print depths
# try:
h_diff=depths[ind_layers_above[:]].squeeze()
# except:
# import pdb
# pdb.set_trace()
if np.size(h_diff) ==1 :
Hj=np.hstack([h_diff,source_depth-h_diff ])
Vj=vels[0:ind_layers_above.max()+2 ]
rhoj = rhos[0:ind_layers_above.max()+2 ]
else:
Hj=np.hstack([depths[0],np.diff(h_diff),
source_depth-depths[ind_layers_above[-1]] ])
Vj=vels[0:ind_layers_above.max()+2 ]
rhoj = rhos[0:ind_layers_above.max()+2 ]
if not(Vj.shape[0] == Hj.shape[0]):
print 'The heights and vels are of different shape, go debug!'
return Hj,Vj, rhoj
else:
return Hj,Vj, rhoj
def costFunc(x,H,V,R):
# a = 1-(x**2)*V**2
# if np.any(a < 0 ):
# np.savez('temp.npz',H=H,V=V,R=R,x=x,a=a)
# pdb.set_trace()
sum_term = H*V*x/np.sqrt(1-(x**2)*V**2);
return R - sum(sum_term);
def CalculatePTime(vels = [ 3500, 3500, 3500, 3500, 3500, 3500],
depths = [ 2000, 3000, 4000, 5000, 6000],
rhos = [2.32,2.55,2.75,2.32,2.55,2.75],
source_depth = 5000,
source_offset = 0,costFunc=costFunc) :
#vels =np.array([1550,3100, 6200])
#depths = np.array([2000, 4000])
#rhos = np.array([2.3,2.3, 2.7])
# Velocities for the segments v_j
# Thicknesses Hj
R=source_offset
Hi,Vi,Rhoi = GetHjVjRhoj(vels,rhos,depths,source_depth)
res,r = opt.bisect(f=costFunc,a=0,b=1E-3,args=(Hi,Vi,R),full_output=True,disp=True)
p=res
#import pdb; pdb.set_trace()
# create an array of cosines:
cosV = np.sqrt(1-(p**2)*Vi**2);
#print Hi,Vi,cosV
# create an array of times per segment:
t_int = Hi/(Vi*cosV);
t_total = np.sum(t_int);
return t_total,r
def DoForwardModel_MyTracer(eqdf,stdf,vels,depths):
Neq=eqdf.shape[0]
Nstations = stdf.shape[0]
tp=np.zeros((Neq,Nstations))
so=np.zeros_like(tp)
for eq_index,rowEq in eqdf.iterrows():
eq_coords = np.array([rowEq.x,rowEq.y,rowEq.z])
for st_index,rowSt in stdf.iterrows():
# Get the time for P,S arrivals and offset
offset = np.sqrt((rowSt.x-eq_coords[0])**2 +(rowSt.y-eq_coords[1])**2)
source_depth=eq_coords[2]
p,r= CalculatePTime(vels=vels,depths=depths,
source_offset=offset,
source_depth=source_depth,costFunc=costFunc)
tp[eq_index,st_index]=p
so[eq_index,st_index]=offset
# print ' Done with station %d and eq %d ' % (st_index,eq_index)
return tp,so