mirror of
https://github.com/wassname/simpeg.git
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Initial merge and minor refactor of simpegPF.
This commit is contained in:
Rowan Cockett
@@ -14,6 +14,7 @@ TOL = 1E-8
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np.random.seed(0)
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class TestModels(unittest.TestCase):
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def test_BaseHaverkamp_Theta(self):
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@@ -0,0 +1,12 @@
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import os
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import glob
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import unittest
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if __name__ == '__main__':
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test_file_strings = glob.glob('test_*.py')
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module_strings = [str[0:len(str)-3] for str in test_file_strings]
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suites = [unittest.defaultTestLoader.loadTestsFromName(str) for str
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in module_strings]
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testSuite = unittest.TestSuite(suites)
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unittest.TextTestRunner(verbosity=2).run(testSuite)
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@@ -0,0 +1,5 @@
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47 47 20
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-60.00 -60.00 280.00
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50.00 30.00 20.00 41*10.00 20.00 30.00 50.00
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50.00 30.00 20.00 41*10.00 20.00 30.00 50.00
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17*10.00 20.00 30.00 50
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245 275 283.11969 2.385276 1
|
||||
255 275 283.11969 2.406946 1
|
||||
265 275 282.727997 2.775713 1
|
||||
275 275 281.94931 3.487118 1
|
||||
285 275 280.792847 4.520212 1
|
||||
295 275 279.2724 5.80555 1
|
||||
305 275 277.40564 7.185402 1
|
||||
315 275 275.214325 8.390831 1
|
||||
325 275 272.723358 9.072539 1
|
||||
335 275 269.960632 8.907607 1
|
||||
345 275 266.956482 7.763454 1
|
||||
355 275 263.74292 5.837826 1
|
||||
365 275 260.353333 3.625323 1
|
||||
375 275 256.821838 1.653854 1
|
||||
105 285 248.573853 -0.9591397 1
|
||||
115 285 252.235565 -0.6212285 1
|
||||
125 285 255.82428 0.051057 1
|
||||
135 285 259.306763 1.132654 1
|
||||
145 285 262.649292 2.578346 1
|
||||
155 285 265.818176 4.151248 1
|
||||
165 285 268.78067 5.462206 1
|
||||
175 285 271.505005 6.15344 1
|
||||
185 285 273.961365 6.103346 1
|
||||
195 285 276.122253 5.464153 1
|
||||
205 285 277.963074 4.527912 1
|
||||
215 285 279.462433 3.569985 1
|
||||
225 285 280.602814 2.771323 1
|
||||
235 285 281.370697 2.220876 1
|
||||
245 285 281.756958 1.949892 1
|
||||
255 285 281.756958 1.963643 1
|
||||
265 285 281.370697 2.258935 1
|
||||
275 285 280.602814 2.826297 1
|
||||
285 285 279.462433 3.638017 1
|
||||
295 285 277.963074 4.624463 1
|
||||
305 285 276.122253 5.647346 1
|
||||
315 285 273.961365 6.489984 1
|
||||
325 285 271.505005 6.89047 1
|
||||
335 285 268.78067 6.628548 1
|
||||
345 285 265.818176 5.643015 1
|
||||
355 285 262.649292 4.113403 1
|
||||
365 285 259.306763 2.412046 1
|
||||
375 285 255.82431 0.9149938 1
|
||||
105 295 247.440887 -1.011423 1
|
||||
115 295 251.037354 -0.7896024 1
|
||||
125 295 254.562134 -0.3250723 1
|
||||
135 295 257.982544 0.4339865 1
|
||||
145 295 261.265472 1.458079 1
|
||||
155 295 264.37793 2.590895 1
|
||||
165 295 267.287598 3.574395 1
|
||||
175 295 269.963379 4.158915 1
|
||||
185 295 272.375977 4.235457 1
|
||||
195 295 274.498352 3.878613 1
|
||||
205 295 276.306335 3.27391 1
|
||||
215 295 277.778992 2.615522 1
|
||||
225 295 278.899048 2.044877 1
|
||||
235 295 279.653259 1.641445 1
|
||||
245 295 280.032623 1.439964 1
|
||||
255 295 280.032623 1.450583 1
|
||||
265 295 279.653259 1.671221 1
|
||||
275 295 278.899048 2.089455 1
|
||||
285 295 277.778992 2.674484 1
|
||||
295 295 276.306335 3.36202 1
|
||||
305 295 274.498352 4.039838 1
|
||||
315 295 272.375977 4.548412 1
|
||||
325 295 269.963379 4.711965 1
|
||||
335 295 267.287598 4.401741 1
|
||||
345 295 264.37793 3.60888 1
|
||||
355 295 261.265472 2.480467 1
|
||||
365 295 257.982544 1.271313 1
|
||||
375 295 254.562134 0.2239833 1
|
||||
105 305 246.083527 -1.037815 1
|
||||
115 305 249.601807 -0.9153721 1
|
||||
125 305 253.049957 -0.6277985 1
|
||||
135 305 256.396027 -0.1413393 1
|
||||
145 305 259.607605 0.5270341 1
|
||||
155 305 262.652374 1.283511 1
|
||||
165 305 265.498779 1.970314 1
|
||||
175 305 268.116394 2.427473 1
|
||||
185 305 270.476563 2.56995 1
|
||||
195 305 272.552795 2.421773 1
|
||||
205 305 274.321503 2.085502 1
|
||||
215 305 275.762146 1.684076 1
|
||||
225 305 276.857849 1.317886 1
|
||||
235 305 277.595642 1.051018 1
|
||||
245 305 277.966797 0.9164558 1
|
||||
255 305 277.966797 0.9264848 1
|
||||
265 305 277.595642 1.080114 1
|
||||
275 305 276.857849 1.364457 1
|
||||
285 305 275.762146 1.750175 1
|
||||
295 305 274.321503 2.183568 1
|
||||
305 305 272.552795 2.581238 1
|
||||
315 305 270.476563 2.836312 1
|
||||
325 305 268.116394 2.843435 1
|
||||
335 305 265.498779 2.53956 1
|
||||
345 305 262.652374 1.942758 1
|
||||
355 305 259.607605 1.161767 1
|
||||
365 305 256.396027 0.3578575 1
|
||||
375 305 253.049988 -0.3240296 1
|
||||
105 315 244.517365 -1.033498 1
|
||||
115 315 247.945435 -0.9854098 1
|
||||
125 315 251.305176 -0.8302344 1
|
||||
135 315 254.56546 -0.5464416 1
|
||||
145 315 257.694702 -0.1422417 1
|
||||
155 315 260.661377 0.3302703 1
|
||||
165 315 263.434845 0.7810533 1
|
||||
175 315 265.985352 1.11401 1
|
||||
185 315 268.284973 1.26902 1
|
||||
195 315 270.307983 1.245204 1
|
||||
205 315 272.031311 1.091521 1
|
||||
215 315 273.435028 0.8779288 1
|
||||
225 315 274.502655 0.6689956 1
|
||||
235 315 275.221558 0.5111202 1
|
||||
245 315 275.58313 0.4313801 1
|
||||
255 315 275.58313 0.4413795 1
|
||||
265 315 275.221558 0.5408217 1
|
||||
275 315 274.502655 0.7183567 1
|
||||
285 315 273.435028 0.9495843 1
|
||||
295 315 272.031311 1.194077 1
|
||||
305 315 270.307983 1.395294 1
|
||||
315 315 268.284973 1.488117 1
|
||||
325 315 265.985352 1.416343 1
|
||||
335 315 263.434845 1.155969 1
|
||||
345 315 260.661377 0.7327568 1
|
||||
355 315 257.694702 0.2205752 1
|
||||
365 315 254.56546 -0.2842715 1
|
||||
375 315 251.305176 -0.6998433 1
|
||||
105 325 242.760101 -1.001009 1
|
||||
115 325 246.086945 -1.002393 1
|
||||
125 325 249.347504 -0.9365406 1
|
||||
135 325 252.511536 -0.7895898 1
|
||||
145 325 255.54834 -0.5643467 1
|
||||
155 325 258.42749 -0.2877616 1
|
||||
165 325 261.119019 -0.008496879 1
|
||||
175 325 263.594238 0.2185697 1
|
||||
185 325 265.825958 0.3539491 1
|
||||
195 325 267.789246 0.3879928 1
|
||||
205 325 269.4617 0.3399999 1
|
||||
215 325 270.823975 0.245651 1
|
||||
225 325 271.860046 0.1425535 1
|
||||
235 325 272.557739 0.06089945 1
|
||||
245 325 272.90863 0.02018288 1
|
||||
255 325 272.90863 0.02955809 1
|
||||
265 325 272.557739 0.08900298 1
|
||||
275 325 271.860046 0.1897431 1
|
||||
285 325 270.823975 0.3137744 1
|
||||
295 325 269.4617 0.4335785 1
|
||||
305 325 267.789246 0.5141889 1
|
||||
315 325 265.825958 0.5195781 1
|
||||
325 325 263.594238 0.423505 1
|
||||
335 325 261.119019 0.2213678 1
|
||||
345 325 258.42749 -0.06328931 1
|
||||
355 325 255.54834 -0.383331 1
|
||||
365 325 252.511536 -0.6835498 1
|
||||
375 325 249.347534 -0.9195023 1
|
||||
105 335 240.831177 -0.9470594 1
|
||||
115 335 244.046936 -0.9776354 1
|
||||
125 335 247.198578 -0.9667871 1
|
||||
135 335 250.256927 -0.9053537 1
|
||||
145 335 253.192322 -0.7932306 1
|
||||
155 335 255.975342 -0.643329 1
|
||||
165 335 258.576965 -0.4807753 1
|
||||
175 335 260.969513 -0.3357394 1
|
||||
185 335 263.126709 -0.2327569 1
|
||||
195 335 265.024445 -0.1823665 1
|
||||
205 335 266.641052 -0.1795066 1
|
||||
215 335 267.957825 -0.2082184 1
|
||||
225 335 268.95929 -0.2487825 1
|
||||
235 335 269.633667 -0.2835538 1
|
||||
245 335 269.9729 -0.300115 1
|
||||
255 335 269.9729 -0.2922643 1
|
||||
265 335 269.633667 -0.2600168 1
|
||||
275 335 268.95929 -0.209445 1
|
||||
285 335 267.957825 -0.1524777 1
|
||||
295 335 266.641052 -0.1060946 1
|
||||
305 335 265.024445 -0.08997072 1
|
||||
315 335 263.126709 -0.121989 1
|
||||
325 335 260.969513 -0.212178 1
|
||||
335 335 258.576965 -0.3573267 1
|
||||
345 335 255.975342 -0.5393556 1
|
||||
355 335 253.192322 -0.7294713 1
|
||||
365 335 250.256927 -0.8969562 1
|
||||
375 335 247.198608 -1.018534 1
|
||||
105 345 238.751434 -0.8795042 1
|
||||
115 345 241.847382 -0.9247606 1
|
||||
125 345 244.881653 -0.9446973 1
|
||||
135 345 247.82608 -0.9330818 1
|
||||
145 345 250.65213 -0.8885093 1
|
||||
155 345 253.331451 -0.8165421 1
|
||||
165 345 255.836212 -0.7295913 1
|
||||
175 345 258.139618 -0.6437526 1
|
||||
185 345 260.216461 -0.5736571 1
|
||||
195 345 262.043518 -0.5278839 1
|
||||
205 345 263.599884 -0.5071621 1
|
||||
215 345 264.867584 -0.5057246 1
|
||||
225 345 265.831787 -0.5144912 1
|
||||
235 345 266.481018 -0.5243066 1
|
||||
245 345 266.807617 -0.5281933 1
|
||||
255 345 266.807617 -0.5225207 1
|
||||
265 345 266.481018 -0.5073952 1
|
||||
275 345 265.831787 -0.4866288 1
|
||||
285 345 264.867584 -0.4673505 1
|
||||
295 345 263.599884 -0.4590167 1
|
||||
305 345 262.043518 -0.4715563 1
|
||||
315 345 260.216461 -0.5125949 1
|
||||
325 345 258.139618 -0.5843691 1
|
||||
335 345 255.836212 -0.6815979 1
|
||||
345 345 253.331451 -0.7916309 1
|
||||
355 345 250.65213 -0.8974017 1
|
||||
365 345 247.82608 -0.9822296 1
|
||||
375 345 244.881653 -1.034367 1
|
||||
105 355 236.542786 -0.8053916 1
|
||||
115 355 239.511536 -0.8559309 1
|
||||
125 355 242.421112 -0.8909921 1
|
||||
135 355 245.244568 -0.9062259 1
|
||||
145 355 247.954498 -0.8998395 1
|
||||
155 355 250.523712 -0.8737812 1
|
||||
165 355 252.925537 -0.8338691 1
|
||||
175 355 255.134338 -0.7884543 1
|
||||
185 355 257.125824 -0.7460073 1
|
||||
195 355 258.877808 -0.712674 1
|
||||
205 355 260.370239 -0.6909303 1
|
||||
215 355 261.585815 -0.6797073 1
|
||||
225 355 262.510406 -0.6756343 1
|
||||
235 355 263.132996 -0.6746618 1
|
||||
245 355 263.446106 -0.6734288 1
|
||||
255 355 263.446106 -0.6701413 1
|
||||
265 355 263.132996 -0.6649869 1
|
||||
275 355 262.510406 -0.6601467 1
|
||||
285 355 261.585815 -0.6594277 1
|
||||
295 355 260.370239 -0.667488 1
|
||||
305 355 258.877808 -0.6886132 1
|
||||
315 355 257.125824 -0.7251665 1
|
||||
325 355 255.134338 -0.7761745 1
|
||||
335 355 252.925537 -0.8366687 1
|
||||
345 355 250.523712 -0.8982714 1
|
||||
355 355 247.954498 -0.9510985 1
|
||||
365 355 245.244568 -0.986296 1
|
||||
375 355 242.421143 -0.9982168 1
|
||||
105 365 234.227783 -0.7301244 1
|
||||
115 365 237.063202 -0.7803932 1
|
||||
125 365 239.842102 -0.8211433 1
|
||||
135 365 242.538727 -0.8492868 1
|
||||
145 365 245.126953 -0.8630885 1
|
||||
155 365 247.58078 -0.8628479 1
|
||||
165 365 249.874756 -0.8510816 1
|
||||
175 365 251.984314 -0.8319991 1
|
||||
185 365 253.886353 -0.8103872 1
|
||||
195 365 255.559631 -0.7903531 1
|
||||
205 365 256.985046 -0.7744435 1
|
||||
215 365 258.146057 -0.7634233 1
|
||||
225 365 259.029114 -0.756661 1
|
||||
235 365 259.623718 -0.7528488 1
|
||||
245 365 259.922791 -0.7507278 1
|
||||
255 365 259.922791 -0.7496345 1
|
||||
265 365 259.623718 -0.7497882 1
|
||||
275 365 259.029114 -0.7523054 1
|
||||
285 365 258.146057 -0.7589456 1
|
||||
295 365 256.985046 -0.7716019 1
|
||||
305 365 255.559631 -0.7915938 1
|
||||
315 365 253.886353 -0.8188929 1
|
||||
325 365 251.984314 -0.8515587 1
|
||||
335 365 249.874756 -0.8856623 1
|
||||
345 365 247.58078 -0.9158597 1
|
||||
355 365 245.126953 -0.9365292 1
|
||||
365 365 242.538727 -0.9430979 1
|
||||
375 365 239.842102 -0.9330602 1
|
||||
@@ -0,0 +1,13 @@
|
||||
Mesh_10m.msh ! Mesh file
|
||||
Obs_loc_TMI.obs ! Obsfile
|
||||
Gaussian.topo ! Topofile | null
|
||||
ModelStart.sus ! Starting model
|
||||
VALUE 0 ! Reference model
|
||||
ActiveCells.dat ! [ Active file (0:Inactive | 1: Active-Dynamic | -1: Active-Static) ] || [ VALUE ### (from starting model) ] || [ DEFAULT (all Active-Dynamic)]
|
||||
DEFAULT !..\AzmDip.dat ! Magnetization vector model
|
||||
DEFAULT ! Cell based weight file
|
||||
1 ! target chi factor | DEFAULT=1
|
||||
1 1 1 1 ! alpha s, x ,y ,z
|
||||
VALUE 0 1 ! Lower and Upper Bounds for p-component
|
||||
VALUE 0 1 1 1 1 ! lp-norm for amplitude inversion FILE pqxqyqzr.dat ! Norms VALUE p, qx, qy, qz, r | FILE m-by-5 matrix
|
||||
DEFAULT ! Threshold value for the norm on model and model gradient VALUE eps_p, eps_q | DEFAULT
|
||||
@@ -0,0 +1,56 @@
|
||||
import unittest
|
||||
from SimPEG import Mesh, Utils, np, PF
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
|
||||
class MagFwdProblemTests(unittest.TestCase):
|
||||
|
||||
def setUp(self):
|
||||
|
||||
cs = 25.
|
||||
hxind = [(cs, 5, -1.3), (cs/2.0, 41), (cs, 5, 1.3)]
|
||||
hyind = [(cs, 5, -1.3), (cs/2.0, 41), (cs, 5, 1.3)]
|
||||
hzind = [(cs, 5, -1.3), (cs/2.0, 40), (cs, 5, 1.3)]
|
||||
M = Mesh.TensorMesh([hxind, hyind, hzind], 'CCC')
|
||||
|
||||
chibkg = 0.
|
||||
chiblk = 0.01
|
||||
chi = np.ones(M.nC)*chibkg
|
||||
sph_ind = PF.MagAnalytics.spheremodel(M, 0., 0., 0., 100)
|
||||
chi[sph_ind] = chiblk
|
||||
model = PF.BaseMag.BaseMagMap(M)
|
||||
prob = PF.Magnetics.Problem3D_DiffSecondary(M, mapping=model)
|
||||
self.prob = prob
|
||||
self.M = M
|
||||
self.chi = chi
|
||||
|
||||
def test_ana_forward(self):
|
||||
|
||||
survey = PF.BaseMag.BaseMagSurvey()
|
||||
|
||||
Inc = 45.
|
||||
Dec = 45.
|
||||
Btot = 51000
|
||||
|
||||
b0 = PF.MagAnalytics.IDTtoxyz(Inc, Dec, Btot)
|
||||
survey.setBackgroundField(Inc, Dec, Btot)
|
||||
xr = np.linspace(-300, 300, 41)
|
||||
yr = np.linspace(-300, 300, 41)
|
||||
X, Y = np.meshgrid(xr, yr)
|
||||
Z = np.ones((xr.size, yr.size))*150
|
||||
rxLoc = np.c_[Utils.mkvc(X), Utils.mkvc(Y), Utils.mkvc(Z)]
|
||||
survey.rxLoc = rxLoc
|
||||
|
||||
self.prob.pair(survey)
|
||||
u = self.prob.fields(self.chi)
|
||||
B = u['B']
|
||||
|
||||
bxa, bya, bza = PF.MagAnalytics.MagSphereAnaFunA(rxLoc[:, 0], rxLoc[:, 1], rxLoc[:, 2], 100., 0., 0., 0., 0.01, b0, 'secondary')
|
||||
|
||||
dpred = survey.projectFieldsAsVector(B)
|
||||
err = np.linalg.norm(dpred-np.r_[bxa, bya, bza])/np.linalg.norm(np.r_[bxa, bya, bza])
|
||||
self.assertTrue(err < 0.08)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
unittest.main()
|
||||
@@ -0,0 +1,33 @@
|
||||
import unittest
|
||||
from SimPEG import Mesh, np, PF
|
||||
from scipy.constants import mu_0
|
||||
import os
|
||||
|
||||
|
||||
class MagSensProblemTests(unittest.TestCase):
|
||||
|
||||
def setUp(self):
|
||||
pass
|
||||
|
||||
def test_magnetics_inversion(self):
|
||||
|
||||
driver = PF.MagneticsDriver.MagneticsDriver_Inv(
|
||||
os.path.sep.join(['assets', 'magnetics', 'PYMAG3D_inv.inp'])
|
||||
)
|
||||
|
||||
print driver.mesh
|
||||
print driver.survey
|
||||
print driver.m0
|
||||
print driver.mref
|
||||
print driver.activeCells
|
||||
print driver.staticCells
|
||||
print driver.dynamicCells
|
||||
print driver.chi
|
||||
print driver.nC
|
||||
print driver.alphas
|
||||
print driver.bounds
|
||||
print driver.lpnorms
|
||||
print driver.eps
|
||||
|
||||
if __name__ == '__main__':
|
||||
unittest.main()
|
||||
@@ -0,0 +1,48 @@
|
||||
import unittest
|
||||
from SimPEG import Mesh, np, PF
|
||||
from scipy.constants import mu_0
|
||||
|
||||
|
||||
plotIt = False
|
||||
|
||||
|
||||
class TestBoundaryConditionAnalytics(unittest.TestCase):
|
||||
|
||||
def test_ana_boundary_computation(self):
|
||||
|
||||
hxind = [(0, 25, 1.3), (21, 12.5), (0, 25, 1.3)]
|
||||
hyind = [(0, 25, 1.3), (21, 12.5), (0, 25, 1.3)]
|
||||
hzind = [(0, 25, 1.3), (20, 12.5), (0, 25, 1.3)]
|
||||
# hx, hy, hz = Utils.meshTensors(hxind, hyind, hzind)
|
||||
M3 = Mesh.TensorMesh([hxind, hyind, hzind], "CCC")
|
||||
indxd, indxu, indyd, indyu, indzd, indzu = M3.faceBoundaryInd
|
||||
mu0 = 4*np.pi*1e-7
|
||||
chibkg = 0.
|
||||
chiblk = 0.01
|
||||
chi = np.ones(M3.nC)*chibkg
|
||||
sph_ind = PF.MagAnalytics.spheremodel(M3, 0, 0, 0, 100)
|
||||
chi[sph_ind] = chiblk
|
||||
mu = (1.+chi)*mu0
|
||||
Bbc, const = PF.MagAnalytics.CongruousMagBC(M3, np.array([1., 0., 0.]), chi)
|
||||
|
||||
flag = 'secondary'
|
||||
Box = 1.
|
||||
H0 = Box/mu_0
|
||||
Bbcxx, Bbcxy, Bbcxz = PF.MagAnalytics.MagSphereAnaFun(M3.gridFx[(indxd|indxu),0], M3.gridFx[(indxd|indxu),1], M3.gridFx[(indxd|indxu),2], 100, 0., 0., 0., mu_0, mu_0*(1+chiblk), H0, flag)
|
||||
Bbcyx, Bbcyy, Bbcyz = PF.MagAnalytics.MagSphereAnaFun(M3.gridFy[(indyd|indyu),0], M3.gridFy[(indyd|indyu),1], M3.gridFy[(indyd|indyu),2], 100, 0., 0., 0., mu_0, mu_0*(1+chiblk), H0, flag)
|
||||
Bbczx, Bbczy, Bbczz = PF.MagAnalytics.MagSphereAnaFun(M3.gridFz[(indzd|indzu),0], M3.gridFz[(indzd|indzu),1], M3.gridFz[(indzd|indzu),2], 100, 0., 0., 0., mu_0, mu_0*(1+chiblk), H0, flag)
|
||||
Bbc_ana = np.r_[Bbcxx, Bbcyy, Bbczz]
|
||||
|
||||
if plotIt:
|
||||
import matplotlib.pyplot as plt
|
||||
fig, ax = plt.subplots(1,1, figsize = (10, 10))
|
||||
ax.plot(Bbc_ana)
|
||||
ax.plot(Bbc)
|
||||
plt.show()
|
||||
err = np.linalg.norm(Bbc-Bbc_ana) / np.linalg.norm(Bbc_ana)
|
||||
|
||||
assert err < 0.1, 'Mag Boundary computation is wrong!!, err = {}'.format(err)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
unittest.main()
|
||||
@@ -0,0 +1,306 @@
|
||||
# import unittest
|
||||
# from SimPEG import *
|
||||
# from simpegPF import BaseMag
|
||||
# import matplotlib.pyplot as plt
|
||||
# import simpegPF as PF
|
||||
# from scipy.constants import mu_0
|
||||
|
||||
|
||||
# class MagSensProblemTests(unittest.TestCase):
|
||||
|
||||
# def setUp(self):
|
||||
# cs = 25.
|
||||
# hxind = [(cs, 5, -1.3), (cs, 21), (cs, 5, 1.3)]
|
||||
# hyind = [(cs, 5, -1.3), (cs, 21), (cs, 5, 1.3)]
|
||||
# hzind = [(cs, 5, -1.3), (cs, 20), (cs, 5, 1.3)]
|
||||
# M = Mesh.TensorMesh([hxind, hyind, hzind], 'CCC')
|
||||
# chibkg = 0.001
|
||||
# chiblk = 0.01
|
||||
# chi = np.ones(M.nC)*chibkg
|
||||
|
||||
# Inc = 90.
|
||||
# Dec = 0.
|
||||
# Btot = 51000
|
||||
|
||||
# b0 = PF.MagAnalytics.IDTtoxyz(Inc, Dec, Btot)
|
||||
# sph_ind = PF.MagAnalytics.spheremodel(M, 0., 0., 0., 100)
|
||||
# chi[sph_ind] = chiblk
|
||||
# model = PF.BaseMag.BaseMagMap(M)
|
||||
|
||||
# survey = BaseMag.BaseMagSurvey()
|
||||
|
||||
# survey.setBackgroundField(Inc, Dec, Btot)
|
||||
# xr = np.linspace(-300, 300, 41)
|
||||
# yr = np.linspace(-300, 300, 41)
|
||||
# X, Y = np.meshgrid(xr, yr)
|
||||
# Z = np.ones((xr.size, yr.size))*150
|
||||
# rxLoc = np.c_[Utils.mkvc(X), Utils.mkvc(Y), Utils.mkvc(Z)]
|
||||
# survey.rxLoc = rxLoc
|
||||
|
||||
# prob = PF.Magnetics.Problem3D_DiffSecondary(M, mapping=model)
|
||||
# prob.pair(survey)
|
||||
# dpre = survey.dpred(chi)
|
||||
|
||||
# fields = prob.fields(chi)
|
||||
# self.u = fields['u']
|
||||
# self.B = fields['B']
|
||||
|
||||
# self.survey = survey
|
||||
# self.model = model
|
||||
# self.prob = prob
|
||||
# self.M = M
|
||||
# self.chi = chi
|
||||
|
||||
# def test_mass(self):
|
||||
# print '\n >>Derivative for MfMuI works.'
|
||||
# mu = self.model*self.chi
|
||||
|
||||
# def MfmuI(mu):
|
||||
|
||||
# chi = mu/mu_0-1
|
||||
# self.prob.makeMassMatrices(chi)
|
||||
# vol = self.prob.mesh.vol
|
||||
# aveF2CC = self.prob.mesh.aveF2CC
|
||||
# MfMuI = self.prob.MfMuI.diagonal()
|
||||
|
||||
# return MfMuI
|
||||
|
||||
# def dMfmuI(mu, v):
|
||||
|
||||
# chi = mu/mu_0-1
|
||||
# self.prob.makeMassMatrices(chi)
|
||||
# vol = self.prob.mesh.vol
|
||||
# aveF2CC = self.prob.mesh.aveF2CC
|
||||
# MfMuI = self.prob.MfMuI.diagonal()
|
||||
# dMfMuI = Utils.sdiag(MfMuI**2)*aveF2CC.T*Utils.sdiag(vol*1./mu**2)
|
||||
|
||||
# return dMfMuI*v
|
||||
|
||||
# d_mu = mu*0.8
|
||||
# derChk = lambda m: [MfmuI(m), lambda mx: dMfmuI(self.chi, mx)]
|
||||
# passed = Tests.checkDerivative(derChk, mu, num=4, dx = d_mu, plotIt=False)
|
||||
|
||||
# self.assertTrue(passed)
|
||||
|
||||
|
||||
# def test_dCdm_Av(self):
|
||||
# print '\n >>Derivative for Cm_A.'
|
||||
# Div = self.prob._Div
|
||||
# vol = self.prob.mesh.vol
|
||||
# aveF2CC = self.prob.mesh.aveF2CC
|
||||
|
||||
# def Cm_A(chi):
|
||||
# dmudm = self.model.deriv(chi)
|
||||
# u = self.u
|
||||
# # chi = mu/mu_0-1
|
||||
# self.prob.makeMassMatrices(chi)
|
||||
# mu = self.model*(self.chi)
|
||||
# A = self.prob.getA(self.chi)
|
||||
# MfMuIvec = 1/self.prob.MfMui.diagonal()
|
||||
# dMfMuI = Utils.sdiag(MfMuIvec**2)*aveF2CC.T*Utils.sdiag(vol*1./mu**2)
|
||||
|
||||
# Cm_A = A*u
|
||||
|
||||
# return Cm_A
|
||||
|
||||
# def dCdm_A(chi, v):
|
||||
|
||||
# dmudm = self.model.deriv(chi)
|
||||
# u = self.u
|
||||
# self.prob.makeMassMatrices(chi)
|
||||
# mu = self.model*self.chi
|
||||
# A = self.prob.getA(self.chi)
|
||||
# MfMuIvec = 1/self.prob.MfMui.diagonal()
|
||||
# dMfMuI = Utils.sdiag(MfMuIvec**2)*aveF2CC.T*Utils.sdiag(vol*1./mu**2)
|
||||
|
||||
# Cm_A = A*u
|
||||
# dCdm_A = Div * (Utils.sdiag( Div.T * u ) * dMfMuI * dmudm)
|
||||
|
||||
# return dCdm_A*v
|
||||
|
||||
# d_chi = self.chi*0.8
|
||||
# derChk = lambda m: [Cm_A(m), lambda mx: dCdm_A(self.chi, mx)]
|
||||
# passed = Tests.checkDerivative(derChk, self.chi, num=4, dx = d_chi, plotIt=False)
|
||||
# self.assertTrue(passed)
|
||||
|
||||
|
||||
# def test_dCdmu_RHS(self):
|
||||
# print '\n >>Derivative for Cm_RHS.'
|
||||
# u = self.u
|
||||
# Div = self.prob._Div
|
||||
# mu = self.model*self.chi
|
||||
# vol = self.prob.mesh.vol
|
||||
# Mc = Utils.sdiag(vol)
|
||||
# aveF2CC = self.prob.mesh.aveF2CC
|
||||
# B0 = self.prob.getB0()
|
||||
# Dface = self.prob.mesh.faceDiv
|
||||
|
||||
# def Cm_RHS(chi):
|
||||
|
||||
# self.prob.makeMassMatrices(chi)
|
||||
# dmudm = self.model.deriv(chi)
|
||||
# dchidmu = Utils.sdiag(1/(dmudm.diagonal()))
|
||||
# Bbc, Bbc_const = PF.MagAnalytics.CongruousMagBC(self.prob.mesh, self.survey.B0, chi)
|
||||
# MfMuIvec = 1/self.prob.MfMui.diagonal()
|
||||
# dMfMuI = Utils.sdiag(MfMuIvec**2)*aveF2CC.T*Utils.sdiag(vol*1./mu**2)
|
||||
# RHS1 = Div*self.prob.MfMuI*self.prob.MfMu0*B0
|
||||
# RHS2 = Mc*Dface*self.prob._Pout.T*Bbc
|
||||
# RHS = RHS1 + RHS2 + Div*B0
|
||||
|
||||
# return RHS
|
||||
|
||||
|
||||
# def dCdm_RHS(chi, v):
|
||||
|
||||
|
||||
# self.prob.makeMassMatrices(chi)
|
||||
# dmudm = self.model.deriv(chi)
|
||||
# dmdmu = Utils.sdiag(1/(dmudm.diagonal()))
|
||||
# Bbc, Bbc_const = PF.MagAnalytics.CongruousMagBC(self.prob.mesh, self.survey.B0, chi)
|
||||
# MfMuIvec = 1/self.prob.MfMui.diagonal()
|
||||
# dMfMuI = Utils.sdiag(MfMuIvec**2)*aveF2CC.T*Utils.sdiag(vol*1./mu**2)
|
||||
# dCdm_RHS1 = Div * (Utils.sdiag( self.prob.MfMu0*B0 ) * dMfMuI)
|
||||
# temp1 = (Dface*(self.prob._Pout.T*Bbc_const*Bbc))
|
||||
# dCdm_RHS2v = (Utils.sdiag(vol)*temp1)*np.inner(vol, v)
|
||||
# dCdm_RHSv = dCdm_RHS1*(dmudm*v) + dCdm_RHS2v
|
||||
|
||||
# return dCdm_RHSv
|
||||
|
||||
# d_chi = self.chi*0.8
|
||||
# derChk = lambda m: [Cm_RHS(m), lambda mx: dCdm_RHS(self.chi, mx)]
|
||||
# passed = Tests.checkDerivative(derChk, self.chi, num=4, dx = d_chi, plotIt=False)
|
||||
# self.assertTrue(passed)
|
||||
|
||||
|
||||
# # def test_dudm(self):
|
||||
# # print ">> Derivative test for dudm"
|
||||
# # u = self.u
|
||||
# # Div = self.prob._Div
|
||||
# # mu = self.model*(self.chi)
|
||||
# # vol = self.prob.mesh.vol
|
||||
# # Mc = Utils.sdiag(vol)
|
||||
# # aveF2CC = self.prob.mesh.aveF2CC
|
||||
# # B0 = self.prob.getB0()
|
||||
# # Dface = self.prob.mesh.faceDiv
|
||||
|
||||
# # def ufun(chi):
|
||||
# # u = self.prob.fields(chi)['u']
|
||||
# # return u
|
||||
|
||||
# # def dudm(chi, v):
|
||||
|
||||
# # chi = mu/mu_0-1
|
||||
# # self.prob.makeMassMatrices(chi)
|
||||
# # u = self.u
|
||||
# # dmudm = self.model.deriv(chi)
|
||||
# # dmdmu = Utils.sdiag(1/(dmudm.diagonal()))
|
||||
# # Bbc, Bbc_const = PF.MagAnalytics.CongruousMagBC(self.prob.mesh, self.survey.B0, chi)
|
||||
# # MfMuIvec = 1/self.prob.MfMui.diagonal()
|
||||
# # dMfMuI = Utils.sdiag(MfMuIvec**2)*aveF2CC.T*Utils.sdiag(vol*1./mu**2)
|
||||
# # dCdu = self.prob.getA(chi)
|
||||
# # dCdm_A = Div * ( Utils.sdiag( Div.T * u )* dMfMuI *dmudm )
|
||||
# # dCdm_RHS1 = Div * (Utils.sdiag( self.prob.MfMu0*B0 ) * dMfMuI)
|
||||
# # temp1 = (Dface*(self.prob._Pout.T*Bbc_const*Bbc))
|
||||
# # dCdm_RHS2v = (Utils.sdiag(vol)*temp1)*np.inner(vol, v)
|
||||
# # dCdm_RHSv = dCdm_RHS1*(dmudm*v) + dCdm_RHS2v
|
||||
# # dCdm_v = dCdm_A*v - dCdm_RHSv
|
||||
# # m1 = sp.linalg.interface.aslinearoperator(Utils.sdiag(1/dCdu.diagonal()))
|
||||
# # sol, info = sp.linalg.bicgstab(dCdu, dCdm_v, tol=1e-8, maxiter=1000, M=m1)
|
||||
|
||||
# # dudm = -sol
|
||||
|
||||
# # return dudm
|
||||
|
||||
# # d_chi = 10.0*self.chi #np.random.rand(mesh.nCz)
|
||||
# # d_sph_ind = PF.MagAnalytics.spheremodel(self.prob.mesh, 0., 0., -50., 50)
|
||||
# # d_chi[d_sph_ind] = 0.1
|
||||
|
||||
# # derChk = lambda m: [ufun(m), lambda mx: dudm(self.chi, mx)]
|
||||
# # # TODO: I am not sure why the order get worse as step decreases .. --;
|
||||
# # passed = Tests.checkDerivative(derChk, self.chi, num=2, dx = d_chi, plotIt=False)
|
||||
# # self.assertTrue(passed)
|
||||
|
||||
|
||||
# # def test_dBdm(self):
|
||||
# # print ">> Derivative test for dBdm"
|
||||
# # u = self.u
|
||||
# # Div = self.prob._Div
|
||||
# # mu = self.model*(self.chi)
|
||||
# # vol = self.prob.mesh.vol
|
||||
# # Mc = Utils.sdiag(vol)
|
||||
# # aveF2CC = self.prob.mesh.aveF2CC
|
||||
# # B0 = self.prob.getB0()
|
||||
# # Dface = self.prob.mesh.faceDiv
|
||||
|
||||
# # def Bfun(chi):
|
||||
# # B = self.prob.fields(chi)['B']
|
||||
# # return B
|
||||
|
||||
# # def dBdm(chi, v):
|
||||
|
||||
# # chi = mu/mu_0-1
|
||||
# # self.prob.makeMassMatrices(chi)
|
||||
# # u = self.u
|
||||
# # dmudm = self.model.deriv(chi)
|
||||
# # dmdmu = Utils.sdiag(1/(dmudm.diagonal()))
|
||||
# # Bbc, Bbc_const = PF.MagAnalytics.CongruousMagBC(self.prob.mesh, self.survey.B0, chi)
|
||||
# # MfMuIvec = 1/self.prob.MfMui.diagonal()
|
||||
# # dMfMuI = Utils.sdiag(MfMuIvec**2)*aveF2CC.T*Utils.sdiag(vol*1./mu**2)
|
||||
# # dCdu = self.prob.getA(chi)
|
||||
# # dCdm_A = Div * ( Utils.sdiag( Div.T * u )* dMfMuI *dmudm )
|
||||
# # dCdm_RHS1 = Div * (Utils.sdiag( self.prob.MfMu0*B0 ) * dMfMuI)
|
||||
# # temp1 = (Dface*(self.prob._Pout.T*Bbc_const*Bbc))
|
||||
# # dCdm_RHS2v = (Utils.sdiag(vol)*temp1)*np.inner(vol, v)
|
||||
# # dCdm_RHSv = dCdm_RHS1*(dmudm*v) + dCdm_RHS2v
|
||||
# # dCdm_v = dCdm_A*v - dCdm_RHSv
|
||||
# # m1 = sp.linalg.interface.aslinearoperator(Utils.sdiag(1/dCdu.diagonal()))
|
||||
# # sol, info = sp.linalg.bicgstab(dCdu, dCdm_v, tol=1e-8, maxiter=1000, M=m1)
|
||||
|
||||
# # dudm = -sol
|
||||
# # dBdmv = ( Utils.sdiag(self.prob.MfMu0*B0)*(dMfMuI * (dmudm*v)) \
|
||||
# # - Utils.sdiag(Div.T*u)*(dMfMuI* (dmudm*v)) \
|
||||
# # - self.prob.MfMuI*(Div.T* (dudm)) )
|
||||
|
||||
# # return dBdmv
|
||||
|
||||
# # d_chi = 10.0*self.chi #np.random.rand(mesh.nCz)
|
||||
# # d_sph_ind = PF.MagAnalytics.spheremodel(self.prob.mesh, 0., 0., -50., 50)
|
||||
# # d_chi[d_sph_ind] = 0.1
|
||||
|
||||
# # derChk = lambda m: [Bfun(m), lambda mx: dBdm(self.chi, mx)]
|
||||
# # # TODO: I am not sure why the order get worse as step decreases .. --;
|
||||
# # passed = Tests.checkDerivative(derChk, self.chi, num=2, dx = d_chi, plotIt=False)
|
||||
# # self.assertTrue(passed)
|
||||
|
||||
|
||||
|
||||
# def test_Jvec(self):
|
||||
# print ">> Derivative test for Jvec"
|
||||
|
||||
# d_chi = 10.0*self.chi #np.random.rand(mesh.nCz)
|
||||
# d_sph_ind = PF.MagAnalytics.spheremodel(self.prob.mesh, 0., 0., -50., 50)
|
||||
# d_chi[d_sph_ind] = 0.1
|
||||
|
||||
# derChk = lambda m: (self.survey.dpred(m), lambda v: self.prob.Jvec(m, v))
|
||||
# # TODO: I am not sure why the order get worse as step decreases .. --;
|
||||
# passed = Tests.checkDerivative(derChk, self.chi, num=2, dx = d_chi, plotIt=False)
|
||||
# self.assertTrue(passed)
|
||||
|
||||
# def test_Jtvec(self):
|
||||
# print ">> Derivative test for Jtvec"
|
||||
# dobs = self.survey.dpred(self.chi)
|
||||
|
||||
# def misfit(m):
|
||||
# dpre = self.survey.dpred(m)
|
||||
# misfit = 0.5*np.linalg.norm(dpre-dobs)**2
|
||||
# residual = dpre-dobs
|
||||
# dmisfit = self.prob.Jtvec(self.chi, residual)
|
||||
|
||||
# return misfit, dmisfit
|
||||
|
||||
# # TODO: I am not sure why the order get worse as step decreases .. --;
|
||||
# passed = Tests.checkDerivative(misfit, self.chi, num=4, plotIt=False)
|
||||
# self.assertTrue(passed)
|
||||
|
||||
# if __name__ == '__main__':
|
||||
# unittest.main()
|
||||
Reference in New Issue
Block a user