/[escript]/trunk/downunder/test/python/inversion_magnetic_3d.py
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Contents of /trunk/downunder/test/python/inversion_magnetic_3d.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: 2615 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 """3D magnetic 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 = 5
38 n_humps_v = 2
39 mu = 0.1
40 n_cells_in_data = 50
41 latitude = -28.5
42 full_knowledge = False
43 B_b = [2201.*U.Nano*U.Tesla, 31232.*U.Nano*U.Tesla, -41405.*U.Nano*U.Tesla]
44 #
45 DIM = 3
46 n_cells_in_data = max(n_humps_h*7, n_cells_in_data)
47 l_data = 100. * U.km
48 l_pad = 40. * U.km
49 THICKNESS = 20. * U.km
50 l_air = 20. * U.km
51 n_cells_v = max(
52 int((2*l_air+THICKNESS+depth_offset)/l_data*n_cells_in_data + 0.5), 25)
53
54
55 source=SyntheticData(DataSource.MAGNETIC, n_length=n_humps_h, n_depth=n_humps_v,
56 depth=THICKNESS+depth_offset, depth_offset=depth_offset,
57 DIM=DIM, number_of_elements=n_cells_in_data, length=l_data, B_b=B_b,
58 data_offset=0, full_knowledge=full_knowledge)
59
60 domainbuilder=DomainBuilder(dim=DIM)
61 domainbuilder.addSource(source)
62 domainbuilder.setVerticalExtents(depth=l_air+THICKNESS+depth_offset,
63 air_layer=l_air, num_cells=n_cells_v)
64 domainbuilder.setBackgroundMagneticFluxDensity(B_b)
65 domainbuilder.setPadding(pad_x=l_pad, pad_y=l_pad)
66 domainbuilder.fixSusceptibilityBelow(depth=THICKNESS+depth_offset)
67
68 inv=MagneticInversion()
69 inv.setSolverTolerance(1e-4)
70 inv.setSolverMaxIterations(50)
71 inv.setup(domainbuilder)
72 inv.getCostFunction().setTradeOffFactorsModels(mu)
73
74 k_new=inv.run()
75 k_ref=source.getReferenceProperty()
76 print("k_new = %s"%k_new)
77 print("k = %s"%k_ref)
78 B, chi = inv.getCostFunction().getForwardModel().getSurvey(0)
79 saveSilo(os.path.join(WORKDIR, 'results_magnetic_3d'), k=k_new, k_ref=k_ref, B=B, chi=chi)
80

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