#--------------------------------------------------
# useful functions
#-------------------------------------------------
None
if __name__ == "__main__":
#initialise dataset
print "initialising dataset"
workspace, params = toolbox.initialise('foybrook.su')
#apply TAR
print "applying true amplitude recovery"
params['gamma'] = 3
toolbox.tar(workspace, None, **params)
#lets see how many cdps there are
print np.unique(workspace['cdp'])[25::45].tolist()
params['smoother'] = 5
#copy your list of cdps here... it will make it easier later
cdps = [219, 264, 309, 354, 399, 444, 489, 534, 579]
#~ params['velocities'] = np.arange(2000,6000,50)
#~ for cdp in cdps:
#~ gather = workspace[workspace['cdp'] == cdp]
#~ toolbox.agc(gather, None, **params)
#~ toolbox.semb(gather, **params)
import toolbox
import pylab
import numpy as np
model, mparams = toolbox.initialise("model_filtered.su")
gathers, params = toolbox.initialise("fk_nmo_gathers.su")
params['model'] = model
params['gate'] = (.4, 1.0) #seconds
params['maxshift'] = 4 #samples
toolbox.trim(gathers, None, **params)
toolbox.apply_statics(gathers, None, **params)
stack = toolbox.stack(gathers, None, **params)
params['gamma'] = -1
toolbox.tar(stack, None, **params)
stack.tofile("trim_stack2.su")
import pylab
#--------------------------------------------------
# useful functions
#-------------------------------------------------
None
if __name__ == "__main__":
#initialise dataset
print "initialising dataset"
workspace, params = toolbox.initialise('al_dynamite.su')
#apply tar
params['gamma'] = 5
toolbox.tar(workspace, None, **params)
#copy vels from previous exercise
vels = {}
vels[225] = (0.06, 1537.38) , (0.28, 2876.21) , (0.87, 4608.10)
vels[270] = (0.05, 1525.09) , (0.18, 2483.16) , (0.36, 3171.00) , (0.66, 4079.93) , (0.98, 4816.90)
vels[315] = (0.04, 1365.42) , (0.14, 2728.82) , (0.22, 3134.15) , (0.57, 4116.78) , (0.74, 4571.25) , (0.97, 5013.43)
vels[360] = (0.04, 1697.05) , (0.10, 2520.01) , (0.21, 2937.62) , (0.43, 3244.70) , (0.64, 3981.67) , (0.98, 4239.61)
vels[405] = (0.06, 1439.11) , (0.27, 2753.38) , (0.49, 3957.10) , (0.97, 5381.92)
vels[450] = (0.06, 1340.85) , (0.41, 2741.10) , (0.52, 3625.47) , (0.02, 1144.32) , (0.29, 3060.45) , (0.54, 3711.45) , (0.97, 4313.31)
vels[495] = (0.04, 1611.07) , (0.11, 3072.74) , (0.23, 3318.39) , (0.35, 3772.86) , (0.48, 3981.67) , (0.94, 5099.41)
vels[539] = (0.04, 2028.69) , (0.11, 3072.74) , (0.32, 3883.41) , (0.51, 4485.27) , (0.96, 5222.24)
vels[584] = (0.06, 1623.36) , (0.20, 2495.44) , (0.32, 3121.87) , (0.95, 4411.57)
#build vels
#initialise dataset
#~ data, params = toolbox.initialise("geometries.su")
#trim data
#~ params['ns'] = 1500
#~ data = toolbox.slice(data, None, **params)
#~ data.tofile("geom_short.su")
#initialise dataset
data, params = toolbox.initialise("geom_short.su")
#agc
#~ toolbox.agc(data, None, **params)
params['gamma'] = 1.5
toolbox.tar(data, None, **params)
kills = [270, 300, 374, 614] #fldr
mask = toolbox.build_mask(data['fldr'], kills)
data = data[mask]
data.tofile("prepro.su")
#display
#~ params['primary'] = 'fldr'
#~ params['secondary'] = 'tracf'
#~ params['wiggle'] = True
#~ toolbox.display(data, **params)
#~ pylab.show()
#initialise dataset
#~ data, params = toolbox.initialise("geometries.su")
#trim data
#~ params['ns'] = 1500
#~ data = toolbox.slice(data, None, **params)
#~ data.tofile("geom_short.su")
#initialise dataset
data, params = toolbox.initialise("geom_short.su")
#agc
#~ toolbox.agc(data, None, **params)
params['gamma'] = 1.5
toolbox.tar(data, None, **params)
kills = [270, 300, 374, 614] #fldr
mask = toolbox.build_mask(data['fldr'], kills)
data = data[mask]
data.tofile("prepro.su")
#display
#~ params['primary'] = 'fldr'
#~ params['secondary'] = 'tracf'
#~ params['wiggle'] = True
#~ toolbox.display(data, **params)
#~ pylab.show()
import toolbox
import numpy as np
import pylab
#--------------------------------------------------
# useful functions
#-------------------------------------------------
None
if __name__ == "__main__":
#initialise dataset
print "initialising dataset"
workspace, params = toolbox.initialise('foybrook.su')
#find our test CDP
#~ print np.unique(workspace['cdp'])
#extract it
cdp = workspace[workspace['cdp'] == 396]
#display it
#~ toolbox.display(cdp, None, **params)
params['gamma'] = 6
toolbox.tar(cdp, None, **params)
#display it
toolbox.display(cdp, None, **params)
pylab.show()