def test_fomosto_vs_psgrn_pscmp_tensile_shear(self):
origin = gf.Location(lat=10., lon=-15.)
# test GF store
TestRF = dict(lat=origin.lat,
lon=origin.lon,
depth=3. * km,
width=2. * km,
length=5. * km,
rake=uniform(-90., 90.),
dip=uniform(0., 90.),
strike=uniform(0., 360.))
opening_fraction = 0.4
slip = uniform(1., 5.)
opening = slip * opening_fraction
pscmp_slip = slip - opening
source_plain = gf.RectangularSource(**TestRF)
source_plain.update(slip=slip, opening_fraction=opening_fraction)
source_with_time = deepcopy(source_plain)
source_with_time.update(time=123.5)
gf_sources = [source_plain, source_with_time]
pscmp_sources = [
psgrn_pscmp.PsCmpRectangularSource(opening=opening,
slip=pscmp_slip,
**TestRF)
]
self.fomosto_vs_psgrn_pscmp(pscmp_sources=pscmp_sources,
gf_sources=gf_sources,
atol=7 * mm)
def test_fomosto_vs_psgrn_pscmp_shear(self):
origin = gf.Location(
lat=10.,
lon=-15.)
# test GF store
TestRF = dict(
lat=origin.lat,
lon=origin.lon,
depth=2. * km,
width=0.2 * km,
length=7. * km,
rake=uniform(-90., 90.),
dip=uniform(0., 90.),
strike=uniform(0., 360.),
slip=uniform(1., 5.))
source_plain = gf.RectangularSource(**TestRF)
source_with_time = gf.RectangularSource(time=123.5, **TestRF)
gf_sources = [source_plain, source_with_time]
pscmp_sources = [psgrn_pscmp.PsCmpRectangularSource(**TestRF)]
self.fomosto_vs_psgrn_pscmp(
pscmp_sources=pscmp_sources, gf_sources=gf_sources, atol=5*mm)
def tcal(target, i):
try:
return store.t(
'any_P',
gf.Location(north_shift=north2[i],
east_shift=east2[i],
depth=depth), target)
except gf.OutOfBounds:
return 0.0
def plot_gf_distance_sampling(self):
origin = gf.Location(lat=10., lon=-15.)
# test GF store
TestRF = dict(lat=origin.lat,
lon=origin.lon,
depth=2. * km,
width=1. * km,
length=3. * km,
rake=uniform(-90., 90.),
dip=uniform(0., 90.),
strike=uniform(0., 360.),
slip=uniform(1., 5.))
source_plain = gf.RectangularSource(**TestRF)
N, E = num.meshgrid(num.linspace(-20. * km, 20. * km, nnorth),
num.linspace(-20. * km, 20. * km, neast))
starget_ml = gf.StaticTarget(lats=num.full(N.size, origin.lat),
lons=num.full(N.size, origin.lon),
north_shifts=N.flatten(),
east_shifts=E.flatten(),
interpolation='multilinear')
# Getting reference gf_distance_sampling = 10.
def get_displacements(source):
store_dir, c = self.get_pscmp_store_info()
engine = gf.LocalEngine(store_dirs=[store_dir])
r = engine.process(source, starget_ml)
ref_result = r.static_results()[0]
compare_results = {}
for gf_dist_spacing in (
0.25,
.5,
1.,
2.,
4.,
8.,
10.,
):
extra_config = psgrn_pscmp.PsGrnPsCmpConfig()
extra_config.psgrn_config.gf_distance_spacing = gf_dist_spacing
extra_config.psgrn_config.gf_depth_spacing = .5
store_dir, c = self._create_psgrn_pscmp_store(extra_config)
engine = gf.LocalEngine(store_dirs=[store_dir])
t0 = time()
r = engine.process(source, starget_ml)
logger.info('pyrocko stacking time %f s' % (time() - t0))
static_result = r.static_results()[0]
compare_results[gf_dist_spacing] = static_result
num.testing.assert_allclose(
ref_result.result['displacement.n'],
static_result.result['displacement.n'],
atol=1 * mm)
num.testing.assert_allclose(
ref_result.result['displacement.e'],
static_result.result['displacement.e'],
atol=1 * mm)
num.testing.assert_allclose(
ref_result.result['displacement.d'],
static_result.result['displacement.d'],
atol=1 * mm)
return ref_result, compare_results
# ref_result, compare_results = get_displacements(source_plain)
# self.plot_displacement_differences(ref_result, compare_results)
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.gca()
for depth in (2., 4., 8., 12.):
source_plain.depth = depth * km
ref_result, compare_results = get_displacements(source_plain)
self.plot_differences(ax,
ref_result,
compare_results,
label='Source Depth %.2f km' % depth)
ax.legend()
if show_plot:
plt.show()
def fomosto_vs_psgrn_pscmp(self, pscmp_sources, gf_sources, atol=2 * mm):
def plot_components_compare(fomosto_comps, psgrn_comps):
import matplotlib.pyplot as plt
fig, axes = plt.subplots(4, 3)
for i, (fcomp, pscomp, cname) in enumerate(
zip(fomosto_comps, psgrn_comps, ['N', 'E', 'D'])):
fdispl = fcomp.reshape(nnorth, neast)
pdispl = pscomp.reshape(nnorth, neast)
pcbound = num.max([num.abs(pdispl.min()), pdispl.max()])
# fcbound = num.max([num.abs(fdispl.min()), fdispl.max()])
axes[0, i].imshow(pdispl,
cmap='seismic',
vmin=-pcbound,
vmax=pcbound)
axes[1, i].imshow(fdispl,
cmap='seismic',
vmin=-pcbound,
vmax=pcbound)
diff = pdispl - fdispl
rdiff = pdispl / fdispl
axes[2, i].imshow(diff, cmap='seismic')
axes[3, i].imshow(rdiff, cmap='seismic')
axes[0, i].set_title('PSCMP %s' % cname)
axes[1, i].set_title('Fomosto %s' % cname)
axes[2, i].set_title('abs diff min max %f, %f' %
(diff.min(), diff.max()))
axes[3, i].set_title('rel diff min max %f, %f' %
(rdiff.min(), rdiff.max()))
plt.show()
store_dir, c = self.get_pscmp_store_info()
origin = gf.Location(lat=10., lon=-15.)
N, E = num.meshgrid(num.linspace(-20. * km, 20. * km, nnorth),
num.linspace(-20. * km, 20. * km, neast))
# direct pscmp output
lats, lons = ortd.ne_to_latlon(origin.lat, origin.lon, N.flatten(),
E.flatten())
cc = c.pscmp_config
cc.observation = psgrn_pscmp.PsCmpScatter(lats=lats, lons=lons)
cc.rectangular_source_patches = pscmp_sources
cc.snapshots = psgrn_pscmp.PsCmpSnapshots(tmin=0.,
tmax=1.,
deltatdays=1.)
ccf = psgrn_pscmp.PsCmpConfigFull(**cc.items())
ccf.psgrn_outdir = os.path.join(store_dir, c.gf_outdir) + '/'
t2 = time()
runner = psgrn_pscmp.PsCmpRunner(keep_tmp=False)
runner.run(ccf)
ps2du = runner.get_results(component='displ')[0]
logger.info('pscmp stacking time %f s' % (time() - t2))
un_pscmp = ps2du[:, 0]
ue_pscmp = ps2du[:, 1]
ud_pscmp = ps2du[:, 2]
# test against engine
starget_nn = gf.StaticTarget(lats=num.full(N.size, origin.lat),
lons=num.full(N.size, origin.lon),
north_shifts=N.flatten(),
east_shifts=E.flatten(),
interpolation='nearest_neighbor')
starget_ml = gf.StaticTarget(lats=num.full(N.size, origin.lat),
lons=num.full(N.size, origin.lon),
north_shifts=N.flatten(),
east_shifts=E.flatten(),
interpolation='multilinear')
engine = gf.LocalEngine(store_dirs=[store_dir])
for source in gf_sources:
t0 = time()
r = engine.process(source, [starget_nn, starget_ml])
logger.info('pyrocko stacking time %f' % (time() - t0))
for i, static_result in enumerate(r.static_results()):
un_fomosto = static_result.result['displacement.n']
ue_fomosto = static_result.result['displacement.e']
ud_fomosto = static_result.result['displacement.d']
if show_plot:
fomosto_comps = [un_fomosto, ue_fomosto, ud_fomosto]
psgrn_comps = [un_pscmp, ue_pscmp, ud_pscmp]
plot_components_compare(fomosto_comps, psgrn_comps)
num.testing.assert_allclose(un_fomosto, un_pscmp, atol=atol)
num.testing.assert_allclose(ue_fomosto, ue_pscmp, atol=atol)
num.testing.assert_allclose(ud_fomosto, ud_pscmp, atol=atol)
class GFPsgrnPscmpTestCase(unittest.TestCase):
def __init__(self, *args, **kwargs):
unittest.TestCase.__init__(self, *args, **kwargs)
self.tempdirs = []
def __del__(self):
import shutil
for d in self.tempdirs:
shutil.rmtree(d)
def test_fomosto_vs_psgrn_pscmp(self):
mod = cake.LayeredModel.from_scanlines(
cake.read_nd_model_str('''
0. 5.8 3.46 2.6 1264. 600.
20. 5.8 3.46 2.6 1264. 600.
20. 6.5 3.85 2.9 1283. 600.
35. 6.5 3.85 2.9 1283. 600.
mantle
35. 8.04 4.48 3.58 1449. 600.
77.5 8.045 4.49 3.5 1445. 600.
77.5 8.045 4.49 3.5 180.6 75.
120. 8.05 4.5 3.427 180. 75.
120. 8.05 4.5 3.427 182.6 76.06
165. 8.175 4.509 3.371 188.7 76.55
210. 8.301 4.518 3.324 201. 79.4
210. 8.3 4.52 3.321 336.9 133.3
410. 9.03 4.871 3.504 376.5 146.1
410. 9.36 5.08 3.929 414.1 162.7
660. 10.2 5.611 3.918 428.5 172.9
660. 10.79 5.965 4.229 1349. 549.6'''.lstrip()))
store_dir = mkdtemp(prefix='gfstore')
self.tempdirs.append(store_dir)
store_id = 'psgrn_pscmp_test'
version = '2008a'
c = psgrn_pscmp.PsGrnPsCmpConfig()
c.psgrn_config.sampling_interval = 1.
c.psgrn_config.version = version
c.pscmp_config.version = version
config = gf.meta.ConfigTypeA(id=store_id,
ncomponents=10,
sample_rate=1. / (3600. * 24.),
receiver_depth=0. * km,
source_depth_min=0. * km,
source_depth_max=5. * km,
source_depth_delta=0.1 * km,
distance_min=0. * km,
distance_max=40. * km,
distance_delta=0.1 * km,
modelling_code_id='psgrn_pscmp.%s' %
version,
earthmodel_1d=mod,
tabulated_phases=[])
config.validate()
gf.store.Store.create_editables(store_dir,
config=config,
extra={'psgrn_pscmp': c})
store = gf.store.Store(store_dir, 'r')
store.close()
# build store
try:
psgrn_pscmp.build(store_dir, nworkers=1)
except psgrn_pscmp.PsCmpError, e:
if str(e).find('could not start psgrn/pscmp') != -1:
logger.warn('psgrn/pscmp not installed; '
'skipping test_pyrocko_gf_vs_pscmp')
return
else:
raise
origin = gf.Location(lat=10., lon=-15.)
# test GF store
TestRF = dict(lat=origin.lat,
lon=origin.lon,
depth=2. * km,
width=2. * km,
length=5. * km,
rake=90.,
dip=45.,
strike=45.,
slip=1.)
source = gf.RectangularSource(**TestRF)
neast = 40
nnorth = 40
N, E = num.meshgrid(num.linspace(-20. * km, 20. * km, nnorth),
num.linspace(-20. * km, 20. * km, neast))
starget = gf.StaticTarget(lats=num.array([origin.lat] * N.size),
lons=num.array([origin.lon] * N.size),
north_shifts=N.flatten(),
east_shifts=E.flatten(),
interpolation='nearest_neighbor')
engine = gf.LocalEngine(store_dirs=[store_dir])
t0 = time()
r = engine.process(source, starget)
t1 = time()
logger.info('pyrocko stacking time %f' % (t1 - t0))
un_fomosto = r.static_results()[0].result['displacement.n']
ue_fomosto = r.static_results()[0].result['displacement.e']
ud_fomosto = r.static_results()[0].result['displacement.d']
# test against direct pscmp output
lats, lons = ortd.ne_to_latlon(origin.lat, origin.lon, N.flatten(),
E.flatten())
pscmp_sources = [psgrn_pscmp.PsCmpRectangularSource(**TestRF)]
cc = c.pscmp_config
cc.observation = psgrn_pscmp.PsCmpScatter(lats=lats, lons=lons)
cc.rectangular_source_patches = pscmp_sources
ccf = psgrn_pscmp.PsCmpConfigFull(**cc.items())
ccf.psgrn_outdir = os.path.join(store_dir, c.gf_outdir) + '/'
t2 = time()
runner = psgrn_pscmp.PsCmpRunner(keep_tmp=False)
runner.run(ccf)
ps2du = runner.get_results(component='displ')[0]
t3 = time()
logger.info('pscmp stacking time %f' % (t3 - t2))
un_pscmp = ps2du[:, 0]
ue_pscmp = ps2du[:, 1]
ud_pscmp = ps2du[:, 2]
num.testing.assert_allclose(un_fomosto, un_pscmp, atol=0.002)
num.testing.assert_allclose(ue_fomosto, ue_pscmp, atol=0.002)
num.testing.assert_allclose(ud_fomosto, ud_pscmp, atol=0.002)
def test_fomosto_vs_psgrn_pscmp(self):
store_dir, c = self.get_pscmp_store_info()
origin = gf.Location(lat=10., lon=-15.)
# test GF store
TestRF = dict(lat=origin.lat,
lon=origin.lon,
depth=2. * km,
width=0.2 * km,
length=0.5 * km,
rake=90.,
dip=45.,
strike=45.,
slip=num.random.uniform(1., 5.))
source_plain = gf.RectangularSource(**TestRF)
source_with_time = gf.RectangularSource(time=123.5, **TestRF)
neast = 40
nnorth = 40
N, E = num.meshgrid(num.linspace(-20. * km, 20. * km, nnorth),
num.linspace(-20. * km, 20. * km, neast))
# direct pscmp output
lats, lons = ortd.ne_to_latlon(origin.lat, origin.lon, N.flatten(),
E.flatten())
pscmp_sources = [psgrn_pscmp.PsCmpRectangularSource(**TestRF)]
cc = c.pscmp_config
cc.observation = psgrn_pscmp.PsCmpScatter(lats=lats, lons=lons)
cc.rectangular_source_patches = pscmp_sources
ccf = psgrn_pscmp.PsCmpConfigFull(**cc.items())
ccf.psgrn_outdir = os.path.join(store_dir, c.gf_outdir) + '/'
t2 = time()
runner = psgrn_pscmp.PsCmpRunner(keep_tmp=False)
runner.run(ccf)
ps2du = runner.get_results(component='displ')[0]
t3 = time()
logger.info('pscmp stacking time %f' % (t3 - t2))
un_pscmp = ps2du[:, 0]
ue_pscmp = ps2du[:, 1]
ud_pscmp = ps2du[:, 2]
# test against engine
starget_nn = gf.StaticTarget(lats=num.full(N.size, origin.lat),
lons=num.full(N.size, origin.lon),
north_shifts=N.flatten(),
east_shifts=E.flatten(),
interpolation='nearest_neighbor')
starget_ml = gf.StaticTarget(lats=num.full(N.size, origin.lat),
lons=num.full(N.size, origin.lon),
north_shifts=N.flatten(),
east_shifts=E.flatten(),
interpolation='multilinear')
engine = gf.LocalEngine(store_dirs=[store_dir])
for source in [source_plain, source_with_time]:
t0 = time()
r = engine.process(source, [starget_nn, starget_ml])
t1 = time()
logger.info('pyrocko stacking time %f' % (t1 - t0))
for static_result in r.static_results():
un_fomosto = static_result.result['displacement.n']
ue_fomosto = static_result.result['displacement.e']
ud_fomosto = static_result.result['displacement.d']
num.testing.assert_allclose(un_fomosto, un_pscmp, atol=1 * mm)
num.testing.assert_allclose(ue_fomosto, ue_pscmp, atol=1 * mm)
num.testing.assert_allclose(ud_fomosto, ud_pscmp, atol=1 * mm)
