/[escript]/trunk/downunder/test/python/inversion_gravmag_2d.py
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Contents of /trunk/downunder/test/python/inversion_gravmag_2d.py

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Revision 4433 - (show annotations)
Fri May 31 12:09:58 2013 UTC (6 years, 2 months ago) by gross
File MIME type: text/x-python
File size: 3400 byte(s)
some clarifications on geodetic coordinates. 
order of background magnetic flux density component has been corrected: input is now B_east, B_north, B_vertical.


1
2 ##############################################################################
3 #
4 # Copyright (c) 2003-2013 by University of Queensland
5 # http://www.uq.edu.au
6 #
7 # Primary Business: Queensland, Australia
8 # Licensed under the Open Software License version 3.0
9 # http://www.opensource.org/licenses/osl-3.0.php
10 #
11 # Development until 2012 by Earth Systems Science Computational Center (ESSCC)
12 # Development since 2012 by School of Earth Sciences
13 #
14 ##############################################################################
15
16 """2D magnetic/gravity joint inversion example using synthetic data"""
17
18 __copyright__="""Copyright (c) 2003-2013 by University of Queensland
19 http://www.uq.edu.au
20 Primary Business: Queensland, Australia"""
21 __license__="""Licensed under the Open Software License version 3.0
22 http://www.opensource.org/licenses/osl-3.0.php"""
23 __url__="https://launchpad.net/escript-finley"
24
25 import os
26 from esys.downunder import *
27 from esys.escript import unitsSI as U
28 from esys.weipa import saveSilo
29
30 try:
31 WORKDIR=os.environ['DOWNUNDER_WORKDIR']
32 except KeyError:
33 WORKDIR='.'
34
35 # interesting parameters:
36 depth_offset = 10 * U.km
37 n_humps_h = 10
38 n_humps_v = 2
39 n_cells_in_data = 100
40 full_knowledge = False
41 B_b = [2201.*U.Nano*U.Tesla, 31232.*U.Nano*U.Tesla, -41405.*U.Nano*U.Tesla]
42 #
43 DIM = 2
44 n_cells_in_data = max(n_humps_h*7, n_cells_in_data)
45 l_data = 100. * U.km
46 l_pad = 40. * U.km
47 THICKNESS = 20. * U.km
48 l_air = 20. * U.km
49 n_cells_v = max(
50 int((2*l_air+THICKNESS+depth_offset)/l_data*n_cells_in_data + 0.5), 25)
51
52
53 grav_data=SyntheticData(DataSource.GRAVITY, n_length=n_humps_h, n_depth=n_humps_v,
54 depth=THICKNESS+depth_offset, depth_offset=depth_offset,
55 DIM=DIM, number_of_elements=n_cells_in_data, length=l_data,
56 data_offset=0, full_knowledge=full_knowledge)
57
58 mag_data=SyntheticData(DataSource.MAGNETIC, n_length=n_humps_h, n_depth=n_humps_v,
59 depth=THICKNESS+depth_offset, depth_offset=depth_offset,
60 DIM=DIM, number_of_elements=n_cells_in_data, length=l_data, B_b=B_b,
61 data_offset=0, full_knowledge=full_knowledge, s=l_data/n_humps_h*0.1)
62
63 domainbuilder=DomainBuilder(dim=DIM)
64 domainbuilder.addSource(grav_data)
65 domainbuilder.addSource(mag_data)
66 domainbuilder.setVerticalExtents(depth=l_air+THICKNESS+depth_offset,
67 air_layer=l_air, num_cells=n_cells_v)
68 domainbuilder.setPadding(l_pad)
69 domainbuilder.fixDensityBelow(depth=THICKNESS+depth_offset)
70 domainbuilder.fixSusceptibilityBelow(depth=THICKNESS+depth_offset)
71 domainbuilder.setBackgroundMagneticFluxDensity(B_b)
72
73 inv=JointGravityMagneticInversion()
74 inv.setSolverTolerance(1e-4)
75 inv.setSolverMaxIterations(500)
76 inv.setup(domainbuilder)
77
78 inv.getCostFunction().setTradeOffFactorsModels([1., 0.01])
79 inv.getCostFunction().setTradeOffFactorsRegularization(mu = [1.e-2,1.e-2], mu_c=1000.)
80
81 rho_ref = grav_data.getReferenceProperty()
82 k_ref = mag_data.getReferenceProperty()
83
84 rho_new, k_new = inv.run()
85
86 print("rho_new = %s"%rho_new)
87 print("rho = %s"%rho_ref)
88 print("k_new = %s"%k_new)
89 print("k = %s"%k_ref)
90
91 g, chi = inv.getCostFunction().getForwardModel(inv.DENSITY).getSurvey(0)
92 B, chi = inv.getCostFunction().getForwardModel(inv.SUSCEPTIBILITY).getSurvey(0)
93
94 saveSilo(os.path.join(WORKDIR, 'results_joint_2d'),
95 density=rho_new, density_ref=rho_ref,
96 susceptibility=k_new, susceptibility_ref=k_ref,
97 g_data=g, B_data=B, chi=chi)
98

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