def get_rxy_sac(nr, st0):
from subroutine_CLEAN_3c import grt
import numpy as np
rx = np.zeros(nr)
ry = np.zeros(nr)
for i in range(nr):
decl, dist, az, baz = grt(st0[0].stats.sac.stla, st0[0].stats.sac.stlo,
st0[i].stats.sac.stla, st0[i].stats.sac.stlo)
rx[i] = decl * np.cos(0.017453 * (90.0 - az))
ry[i] = decl * np.sin(0.017453 * (90.0 - az))
return rx, ry
def get_rxy_sac(nr, st0):
from subroutine_CLEAN_3c import grt
import numpy as np
rx = np.zeros(nr)
ry = np.zeros(nr)
for i in range(nr):
decl, dist, az, baz = grt(
st0[0].stats.sac.stla, st0[0].stats.sac.stlo, st0[i].stats.sac.stla, st0[i].stats.sac.stlo
)
rx[i] = decl * np.cos(0.017453 * (90.0 - az))
ry[i] = decl * np.sin(0.017453 * (90.0 - az))
return rx, ry
def metric_mseed(st, d, nr):
import numpy as np
import scipy as sp
from subroutine_CLEAN_3c import grt
"""
function takes data matrix and returns interstation distances rx and ry (vectors) in [deg].
"""
rx_0, ry_0 = d[st[0].stats.station]
rx = np.zeros(nr)
ry = np.zeros(nr)
for i in range(nr):
rx_i, ry_i = d[st[i].stats.station]
decl, dist, az, baz = grt(float(rx_0), float(ry_0), float(rx_i), float(ry_i))
# decl,dist,az,baz = ut.grt(st[0].stats.sac.stla,st[0].stats.sac.stlo,st[i].stats.sac.stla,st[i].stats.sac.stlo)
rx[i] = decl * sp.cos(0.017453 * (90.0 - az))
ry[i] = decl * sp.sin(0.017453 * (90.0 - az))
return rx, ry
def metric_mseed(st, d, nr):
import numpy as np
import scipy as sp
from subroutine_CLEAN_3c import grt
'''
function takes data matrix and returns interstation distances rx and ry (vectors) in [deg].
'''
rx_0, ry_0 = d[st[0].stats.station]
rx = np.zeros(nr)
ry = np.zeros(nr)
for i in range(nr):
rx_i, ry_i = d[st[i].stats.station]
decl, dist, az, baz = grt(float(rx_0), float(ry_0), float(rx_i),
float(ry_i))
#decl,dist,az,baz = ut.grt(st[0].stats.sac.stla,st[0].stats.sac.stlo,st[i].stats.sac.stla,st[i].stats.sac.stlo)
rx[i] = decl * sp.cos(0.017453 * (90.0 - az))
ry[i] = decl * sp.sin(0.017453 * (90.0 - az))
return rx, ry
