def sac_metadata(st):
for tr in st:
tr.stats.sac['evla'] = -8.13
tr.stats.sac['evlo'] = -71.27
tr.stats.sac['stla'] = 40.290
tr.stats.sac['stlo'] = -116.500
tr.stats.sac['o'] = 0
st = convert.set_gcarc(st)
return st
def stack_precursor_PKIKP(st_list_in,**kwargs):
'''
Stack the precursor amplitudes for PKPdf scattering envelopes
'''
tw = kwargs.get('time',(-30,0))
rw = kwargs.get('range',(130,140))
ax_grab = kwargs.get('ax_grab',False)
interp = kwargs.get('interp','lanczos')
def plot_env(envelope,rw,tw):
e = np.log10(envelope)
if ax_grab != False:
ax = ax_grab
else:
fig, ax = plt.subplots()
image = ax.imshow(np.log10(np.flipud(envelope)+1e-8),aspect='auto',
cmap='Spectral_r',extent=[(tw[0]),(tw[1]),rw[0],rw[1]],
interpolation=interp,vmin=-2.0,vmax=0)
ax.set_ylabel('Range (degrees)',fontsize=14)
ax.set_xlabel(r'Seconds before $PKPdf$',fontsize=14)
#ax.text(121,-19,'CMB',color='w',fontsize=14)
cbar = plt.colorbar(image,ax=ax)
cbar.solids.set_rasterized(True)
cbar.set_label(r'$\log_{10}(Amplitude)$',fontsize=14)
ax.grid(color='k')
env_list = []
for st in st_list_in:
st = convert.set_gcarc(st)
env,wave = new_precursor_PKIKP(st,plot=False,filter=(0.5,1.0),time=tw)
env_list.append(env)
avg_env = np.sum(env_list,axis=0)/len(env_list)
plot_env(avg_env,rw,tw)
plt.show()
