def test_raytrace_branch_id(self):
"""
Raytracing should honor branch ids
"""
#vmfile = get_example_file('jump1d.vm')
vmfile = get_example_file('inactive_layers.vm')
# Create pick database
pickdbfile = 'temp.sqlite'
if os.path.isfile(pickdbfile):
os.remove(pickdbfile)
pickdb = PickDatabaseConnection(pickdbfile)
pickdb.update_pick(event='P1', ensemble=100, trace=1,
branch=1, subbranch=0,
time=5.0, source_x=10, source_y=0.0, source_z=0.006,
receiver_x=40, receiver_y=0.0, receiver_z=4.9)
pickdb.update_pick(event='P2', ensemble=100, trace=1,
branch=2, subbranch=0, time=5.0)
pickdb.update_pick(event='P3', ensemble=100, trace=1,
branch=3, subbranch=0, time=5.0)
pickdb.commit()
# Raytrace
vm = readVM(vmfile)
rayfile = 'temp.ray'
for branch in range(1, 4):
if os.path.isfile(rayfile):
os.remove(rayfile)
pick_keys = {'branch' : branch}
raytrace(vmfile, pickdb, rayfile, **pick_keys)
# Should have created a rayfile
self.assertTrue(os.path.isfile(rayfile))
# Load rayfans
rays = readRayfanGroup(rayfile)
# Should have traced just one ray
self.assertEqual(len(rays.rayfans), 1)
rfn = rays.rayfans[0]
self.assertEqual(len(rfn.paths), 1)
# Rays should turn in specified layer
zmax = max([p[2] for p in rfn.paths[0]])
self.assertGreaterEqual(zmax, vm.rf[branch - 1][0][0])
# cleanup
for filename in [rayfile, pickdbfile]:
if os.path.isfile(filename):
os.remove(filename)
def test_locate_on_surface(self):
"""
Should locate a receiver on a surface.
"""
inst_id = 100
dx = 1
iref = 0
for _vmfile in TEST_MODELS:
vmfile = get_example_file(_vmfile)
vm = readVM(vmfile)
# calculate synthetic times
pickdb = PickDatabaseConnection(':memory:')
x0 = np.mean(vm.x)
y0 = np.mean(vm.y)
picks = []
xsearch = vm.xrange2i(max(vm.r1[0], x0 - dx),
min(vm.r2[0], x0 + dx))
for i, ix in enumerate(xsearch):
x = vm.x[ix]
iy = vm.x2i([y0])[0]
z0 = vm.rf[iref][ix][iy]
pickdb.add_pick(event='Pw', ensemble=inst_id,
trace=i, time=1e30,
source_x=x, source_y=y0, source_z=0.006,
receiver_x=x0, receiver_y=y0, receiver_z=z0,
vm_branch=1, vm_subid=0)
rayfile = 'temp.ray'
raytrace(vmfile, pickdb, rayfile)
raydb = rayfan2db(rayfile, 'temp.syn.sqlite', synthetic=True)
os.remove(rayfile)
# run locate
x, y, z, rms = locate_on_surface(vmfile, raydb, 0, x0=x0,
y0=y0, dx=dx, dy=dx)
# compare result
self.assertAlmostEqual(x, x0, 0)
self.assertAlmostEqual(y, y0, 0)
'ensemble': irec + 10,
'trace': isrc + 5000,
'time': 0.0,
'time_reduced': 0.0,
'source_x': _sx,
'source_y': 0.0,
'source_z': 1.0,
'receiver_x': _rx,
'receiver_y': 0.0,
'receiver_z': 2.0,
'offset' : np.abs(_rx - _sx)}
pickdb.update_pick(**d)
pickdb.commit()
# Raytrace with these picks
raytrace(vmfile, pickdb, rayfile)
pickdb.close()
# Transfer traced to a picks to a new pick database and add noise
pickdb = rayfan2db(rayfile, pickdb_file, synthetic=True, noise=0.02)
# Raytrace with the new pick database
raytrace(vmfile, pickdb, rayfile)
# Plot the traced rays and traveltimes
fig = plt.figure()
ax = fig.add_subplot(211)
vm.plot(ax=ax)
rays = readRayfanGroup(rayfile)
rays.plot_raypaths(ax=ax)
ax = fig.add_subplot(212)
def locate_on_surface(vmfile, pickdb, iref, pick_keys={}, x0=None, y0=None,
dx=None, dy=None, plot=False):
"""
Locate a receiver on a surface.
:param vmfile: Filename of the VM Tomography slowness model to
raytrace.
:param pickdb: :class:`rockfish.picking.database.PickDatabaseConnection`
to get picks from for raytracing.
:param iref: index of the surface to move the receiver on
:param pick_keys: Optional. ``dict`` of keys and values to use for
selecting picks from ``pickdb``. Default is to use all picks.
:param x0, y0: Optional. Initial guess at x and y locations. Default is
center of the model.
:param dx, dy: Optional. Distance in x and y to search from ``x0, y0``.
Default is to search the entire model.
:param plot: Optional. Plot results of the location. Default is false.
"""
# Load model
print "Loading VM model..."
vm = readVM(vmfile)
# Setup search domain
print "Setting up search domain..."
if x0 is None:
x0 = np.mean(vm.x)
if y0 is None:
y0 = np.mean(vm.y)
if dx is None:
xsearch = vm.x
else:
ix = vm.xrange2i(max(vm.r1[0], x0 - dx), min(vm.r2[0], x0 + dx))
xsearch = vm.x[ix]
if dy is None:
ysearch = vm.y
else:
iy = vm.yrange2i(max(vm.r1[1], y0 - dy), min(vm.r2[1], y0 + dy))
ysearch = vm.y[iy]
# trace each point in the search region
print "Building traveltime database for {:}x{:} search grid..."\
.format(len(xsearch), len(ysearch))
zz = vm.rf[iref]
ipop = -1
population = []
db = PickDatabaseConnection(':memory:')
for x in xsearch:
for y in ysearch:
z = zz[vm.x2i([x])[0], vm.y2i([y])[0]]
ipop += 1
for _p in pickdb.get_picks(**pick_keys):
p = dict(_p)
p['ensemble'] = ipop
p['receiver_x'] = x
p['receiver_y'] = y
p['receiver_z'] = z
db.add_pick(**p)
population.append((x, y, z))
print "Raytracing..."
rayfile = '.locate.ray'
raytrace(vmfile, db, rayfile, stderr=subprocess.STDOUT,
stdout=subprocess.PIPE)
rays = readRayfanGroup(rayfile)
imin = np.argmin([rfn.rms for rfn in rays.rayfans])
ipop = [rfn.start_point_id for rfn in rays.rayfans][imin]
rms = [rfn.rms for rfn in rays.rayfans][imin]
# # warn if fit point is on edge of search domain
# if (vm.ny > 1) and ((yfit == ysearch[0]) or (yfit == ysearch[-1])):
# on_edge = True
# elif (xfit == xsearch[0]) or (xfit == xsearch[-1]):
# on_edge = True
# else:
# on_edge = False
# if on_edge:
# msg = 'Best-fit location ({:},{:}) is on edge of model domain:'\
# .format(xfit, yfit)
# msg += ' x=[{:},{:}], y=[{:},{:}].'.format(xsearch[0], xsearch[-1],
# ysearch[0], ysearch[-1])
# msg += ' Try using a larger search region.'
# warnings.warn(msg)
# plot
if plot:
fig = plt.figure()
ax = fig.add_subplot(111)
if vm.ny == 1:
ax.plot([p[0] for p in population],
[rfn.rms for rfn in rays.rayfans], '.k')
ax.plot(population[ipop][0], rms, '*r')
plt.xlabel('x (km)')
plt.ylabel('RMS error (s)')
else:
ax.plot([p[0] for p in population], [p[1] for p in population],
'.k')
ax.plot(population[ipop][0], population[ipop][1], '*r')
ax.plot(x0, y0, 'og')
plt.xlabel('x (km)')
plt.xlabel('y (km)')
plt.title('Results of locate_on_surface()')
plt.show()
return population[ipop][0], population[ipop][1], population[ipop][2], rms
