def __init__(self, store_dir, step, shared, block_size=None, tmp=None,
force=False):
self.gfmapping = [
(MomentTensor(m=symmat6(1, 0, 0, 1, 0, 0)),
{'un': (0, -1), 'ue': (3, -1), 'uz': (5, -1)}),
(MomentTensor(m=symmat6(0, 0, 0, 0, 1, 1)),
{'un': (1, -1), 'ue': (4, -1), 'uz': (6, -1)}),
(MomentTensor(m=symmat6(0, 0, 1, 0, 0, 0)),
{'un': (2, -1), 'uz': (7, -1)}),
(MomentTensor(m=symmat6(0, 1, 0, 0, 0, 0)),
{'un': (8, -1), 'uz': (9, -1)}),
]
self.store = gf.store.Store(store_dir, 'w')
if step == 0:
block_size = (1, 1, self.store.config.ndistances)
else:
if block_size is None:
block_size = (1, 1, 51)
if len(self.store.config.ns) == 2:
block_size = block_size[1:]
gf.builder.Builder.__init__(
self, self.store.config, step, block_size=block_size, force=force)
baseconf = self.store.get_extra('qssp')
conf = QSSPConfigFull(**baseconf.items())
conf.gf_directory = pjoin(store_dir, 'qssp_green')
conf.earthmodel_1d = self.store.config.earthmodel_1d
deltat = self.store.config.deltat
if 'time_window' not in shared:
d = self.store.make_timing_params(
conf.time_region[0], conf.time_region[1],
force=force)
tmax = math.ceil(d['tmax'] / deltat) * deltat
tmin = math.floor(d['tmin'] / deltat) * deltat
shared['time_window'] = tmax - tmin
shared['tstart'] = tmin
self.tstart = shared['tstart']
conf.time_window = shared['time_window']
self.tmp = tmp
if self.tmp is not None:
util.ensuredir(self.tmp)
util.ensuredir(conf.gf_directory)
self.qssp_config = conf
def __init__(self, partial_db_path, output_db_path, gfdb_config, block_nx, qseis_config, cutting=None, extra_traces_dir=None, tag='', tmp=None ):
GFDBBuilder.__init__(self, partial_db_path, output_db_path, gfdb_config, block_nx, extra_traces_dir=extra_traces_dir, tmp=tmp)
self.qseis_config = qseis_config
self.tag = tag
self.cutting = cutting
self.gfmapping = [
(MomentTensor( m=symmat6(1,0,0,1,0,0) ), {'r': (1, +1), 't': (4, +1), 'z': (6, +1) }),
(MomentTensor( m=symmat6(0,0,0,0,1,1) ), {'r': (2, +1), 't': (5, +1), 'z': (7, +1) }),
(MomentTensor( m=symmat6(0,0,1,0,0,0) ), {'r': (3, +1), 'z': (8, +1) }),
]
if gfdb_config['ng'] == 10:
self.gfmapping.append(
(MomentTensor( m=symmat6(0,1,0,0,0,0) ), {'r': (9, +1), 'z': (10, +1) }),
)
def preconstrain(self, x):
d = self.get_parameter_dict(x)
m6 = num.array([d.rmnn, d.rmee, d.rmdd, d.rmne, d.rmnd, d.rmed],
dtype=num.float)
m9 = mtm.symmat6(*m6)
if self.mt_type == 'deviatoric':
trace_m = num.trace(m9)
m_iso = num.diag([trace_m / 3., trace_m / 3., trace_m / 3.])
m9 -= m_iso
elif self.mt_type == 'dc':
mt = mtm.MomentTensor(m=m9)
m9 = mt.standard_decomposition()[1][2]
m0_unscaled = math.sqrt(num.sum(m9.A**2)) / math.sqrt(2.)
m9 /= m0_unscaled
m6 = mtm.to6(m9)
d.rmnn, d.rmee, d.rmdd, d.rmne, d.rmnd, d.rmed = m6
x = self.get_parameter_array(d)
source = self.get_source(x)
for t in self.targets:
if (self.distance_min > num.asarray(t.distance_to(source))).any():
raise Forbidden()
return x
def oldloadf(file):
d = {}
try:
for line in file:
if line.lstrip().startswith('#'):
continue
toks = line.split(' = ', 1)
if len(toks) == 2:
k, v = toks[0].strip(), toks[1].strip()
if k in ('name', 'region', 'catalog', 'magnitude_type'):
d[k] = v
if k in (('latitude longitude magnitude depth duration '
'north_shift east_shift '
'mnn mee mdd mne mnd med strike1 dip1 rake1 '
'strike2 dip2 rake2 duration').split()):
d[k] = float(v)
if k == 'time':
d[k] = util.str_to_time(v)
if k == 'tags':
d[k] = [x.strip() for x in v.split(',')]
if line.startswith('---'):
d['have_separator'] = True
break
except Exception as e:
raise FileParseError(e)
if not d:
raise EOF()
if 'have_separator' in d and len(d) == 1:
raise EmptyEvent()
mt = None
m6 = [d[x] for x in 'mnn mee mdd mne mnd med'.split() if x in d]
if len(m6) == 6:
mt = moment_tensor.MomentTensor(m=moment_tensor.symmat6(*m6))
else:
sdr = [d[x] for x in 'strike1 dip1 rake1'.split() if x in d]
if len(sdr) == 3:
moment = 1.0
if 'moment' in d:
moment = d['moment']
elif 'magnitude' in d:
moment = moment_tensor.magnitude_to_moment(d['magnitude'])
mt = moment_tensor.MomentTensor(strike=sdr[0],
dip=sdr[1],
rake=sdr[2],
scalar_moment=moment)
return (d.get('latitude', 0.0), d.get('longitude', 0.0),
d.get('north_shift', 0.0), d.get('east_shift', 0.0),
d.get('time', 0.0), d.get('name', ''), d.get('depth', None),
d.get('magnitude', None), d.get('magnitude_type',
None), d.get('region', None),
d.get('catalog', None), mt, d.get('duration',
None), d.get('tags', []))
def testChile(self):
m_use = symmat6(
1.040, -0.030, -1.010, 0.227, -1.510, -0.120)*1e29*dynecm
mt = MomentTensor(m_up_south_east=m_use)
sdr = mt.both_strike_dip_rake()
self.assertSame(sdr[0], (174., 73., 83.), 1., 'chile fail 1')
self.assertSame(sdr[1], (18., 18., 112.), 1., 'chile fail 2')
def testChile(self):
m_use = symmat6(1.040, -0.030, -1.010, 0.227, -1.510,
-0.120) * 1e29 * dynecm
mt = MomentTensor(m_up_south_east=m_use)
sdr = mt.both_strike_dip_rake()
self.assertSame(sdr[0], (174., 73., 83.), 1., 'chile fail 1')
self.assertSame(sdr[1], (18., 18., 112.), 1., 'chile fail 2')
def __init__(self, *args):
QFrame.__init__(self, *args)
self._mt = mtm.MomentTensor(m=mtm.symmat6(1., -1., 2., 0., -2., 1.))
setupdata = [(LinValControl, 'Strike 1', 0., 360., 0., 0),
(LinValControl, 'Dip 1', 0., 90., 0., 1),
(LinValControl, 'Slip-Rake 1', -180., 180., 0., 2),
(LinValControl, 'Strike 2', 0., 360., 0., 3),
(LinValControl, 'Dip 2', 0., 90., 0., 4),
(LinValControl, 'Slip-Rake 2', -180., 180., 0., 5)]
layout = QGridLayout()
self.setLayout(layout)
val_controls = []
for irow, (typ, name, vmin, vmax, vcur, ind) in enumerate(setupdata):
val_control = typ()
val_control.setup(name, vmin, vmax, vcur, ind)
val_controls.append(val_control)
for icol, widget in enumerate(val_control.widgets()):
layout.addWidget(widget, irow, icol)
self.connect(val_control, SIGNAL('valchange(PyQt_PyObject,int)'),
self.valchange)
self.val_controls = val_controls
self.adjust_values()
def __init__(self, *args):
qw.QFrame.__init__(self, *args)
self._mt = mtm.MomentTensor(m=mtm.symmat6(1., -1., 2., 0., -2., 1.))
setupdata = [
(LinValControl, 'Strike 1', 0., 360., 0., 0),
(LinValControl, 'Dip 1', 0., 90., 0., 1),
(LinValControl, 'Slip-Rake 1', -180., 180., 0., 2),
(LinValControl, 'Strike 2', 0., 360., 0., 3),
(LinValControl, 'Dip 2', 0., 90., 0., 4),
(LinValControl, 'Slip-Rake 2', -180., 180., 0., 5)]
layout = qw.QGridLayout()
self.setLayout(layout)
val_controls = []
for irow, (typ, name, vmin, vmax, vcur, ind) in enumerate(setupdata):
val_control = typ()
val_control.setup(name, vmin, vmax, vcur, ind)
val_controls.append(val_control)
for icol, widget in enumerate(val_control.widgets()):
layout.addWidget(widget, irow, icol)
val_control.valchanged.connect(
self.valchange)
self.val_controls = val_controls
self.adjust_values()
def test_random_mts(self):
nx = 2
for x in range(nx):
m6 = num.random.random(6)*2.-1.
m = mtm.symmat6(*m6)
mt = mtm.MomentTensor(m=m)
self.compare_beachball(mt)
def test_specific_mts(self):
for m6 in [(1., 0., 0., 0., 0., 0.), (0., 1., 0., 0., 0., 0.),
(0., 0., 1., 0., 0., 0.), (0., 0., 0., 1., 0., 0.),
(0., 0., 0., 0., 1., 0.), (0., 0., 0., 0., 0., 1.)]:
m = mtm.symmat6(*m6)
mt = mtm.MomentTensor(m=m)
self.compare_beachball(mt)
def test_specific_mts(self):
for m6 in [(1., 0., 0., 0., 0., 0.), (0., 1., 0., 0., 0., 0.),
(0., 0., 1., 0., 0., 0.), (0., 0., 0., 1., 0., 0.),
(0., 0., 0., 0., 1., 0.), (0., 0., 0., 0., 0., 1.)]:
m = mtm.symmat6(*m6)
mt = mtm.MomentTensor(m=m)
self.compare_beachball(mt)
def __init__(self, store_dir, step, shared, block_size=None, tmp=None ):
self.gfmapping = [
(MomentTensor( m=symmat6(1,0,0,1,0,0) ), {'r': (0, +1), 't': (3, +1), 'z': (5, +1) }),
(MomentTensor( m=symmat6(0,0,0,0,1,1) ), {'r': (1, +1), 't': (4, +1), 'z': (6, +1) }),
(MomentTensor( m=symmat6(0,0,1,0,0,0) ), {'r': (2, +1), 'z': (7, +1) }),
(MomentTensor( m=symmat6(0,1,0,0,0,0) ), {'r': (8, +1), 'z': (9, +1) })]
self.store = gf.store.Store(store_dir, 'w')
if block_size is None:
block_size = (1,1,100)
if len(self.store.config.ns) == 2:
block_size = block_size[1:]
gf.builder.Builder.__init__(self, self.store.config, step, block_size=block_size)
baseconf = self.store.get_extra('qseis')
conf = QSeisConfigFull(**baseconf.items())
conf.earthmodel_1d = self.store.config.earthmodel_1d
deltat = 1.0/self.gf_config.sample_rate
if 'time_window_min' not in shared:
d = self.store.make_timing_params(conf.time_region[0], conf.time_region[1])
shared['time_window_min'] = d['tlenmax_vred']
shared['time_start'] = d['tmin_vred']
shared['time_reduction_velocity'] = d['vred'] / km
time_window_min = shared['time_window_min']
conf.time_start = shared['time_start']
conf.time_reduction_velocity = shared['time_reduction_velocity']
conf.nsamples = nextpow2(int(round(time_window_min / deltat)) + 1)
conf.time_window = (conf.nsamples-1)*deltat
self.qseis_config = conf
self.tmp = tmp
if self.tmp is not None:
util.ensuredir(self.tmp)
def __init__(self,
partial_db_path,
output_db_path,
gfdb_config,
block_nx,
qseis_config,
cutting=None,
extra_traces_dir=None,
tag='',
tmp=None):
GFDBBuilder.__init__(self,
partial_db_path,
output_db_path,
gfdb_config,
block_nx,
extra_traces_dir=extra_traces_dir,
tmp=tmp)
self.qseis_config = qseis_config
self.tag = tag
self.cutting = cutting
self.gfmapping = [
(MomentTensor(m=symmat6(1, 0, 0, 1, 0, 0)), {
'r': (1, +1),
't': (4, +1),
'z': (6, +1)
}),
(MomentTensor(m=symmat6(0, 0, 0, 0, 1, 1)), {
'r': (2, +1),
't': (5, +1),
'z': (7, +1)
}),
(MomentTensor(m=symmat6(0, 0, 1, 0, 0, 0)), {
'r': (3, +1),
'z': (8, +1)
}),
]
if gfdb_config['ng'] == 10:
self.gfmapping.append((MomentTensor(m=symmat6(0, 1, 0, 0, 0, 0)), {
'r': (9, +1),
'z': (10, +1)
}), )
def test_random_mts(self, **kwargs):
nx = 10
for x in range(nx):
m6 = num.random.random(6) * 2. - 1.
m = mtm.symmat6(*m6)
mt = mtm.MomentTensor(m=m)
self.compare_beachball(mt, **kwargs)
for x in range(nx):
mt = mtm.MomentTensor.random_mt()
self.compare_beachball(mt, **kwargs)
def _parse_mt_page(self, page):
d = {}
for k in 'Scale', 'Mrr', 'Mtt', 'Mpp', 'Mrt', 'Mrp', 'Mtp':
r = k.encode('ascii') + br'\s*=?\s*(\S+)'
m = re.search(r, page)
if m:
s = m.group(1).replace(b'10**', b'1e')
d[k.lower()] = float(s)
m = symmat6(*(d[x] for x in 'mrr mtt mpp mrt mrp mtp'.split()))
m *= d['scale']
mt = MomentTensor(m_up_south_east=m)
return mt
def _parse_mt_page(self, page):
d = {}
for k in 'Scale', 'Mrr', 'Mtt', 'Mpp', 'Mrt', 'Mrp', 'Mtp':
r = k+r'\s*=?\s*(\S+)'
m = re.search(r, page)
if m:
s = m.group(1).replace('10**', '1e')
d[k.lower()] = float(s)
m = symmat6(*(d[x] for x in 'mrr mtt mpp mrt mrp mtp'.split()))
m *= d['scale']
mt = MomentTensor(m_up_south_east=m)
return mt
def work_block(self, index):
if len(self.store.config.ns) == 2:
(sz, firstx), (sz, lastx), (ns, nx) = \
self.get_block_extents(index)
rz = self.store.config.receiver_depth
else:
(rz, sz, firstx), (rz, sz, lastx), (nr, ns, nx) = \
self.get_block_extents(index)
conf = copy.deepcopy(self.qseis_config)
logger.info('Starting block %i / %i' %
(index+1, self.nblocks))
conf.source_depth = float(sz/km)
conf.receiver_depth = float(rz/km)
runner = QSeisRunner(tmp=self.tmp)
dx = self.gf_config.distance_delta
distances = num.linspace(firstx, firstx + (nx-1)*dx, nx).tolist()
if distances[-1] < self.gf_config.distance_max:
# add global max distance, because qseis does some adjustments with
# this value
distances.append(self.gf_config.distance_max)
mmt1 = (MomentTensor(m=symmat6(1, 0, 0, 1, 0, 0)),
{'r': (0, +1), 't': (3, +1), 'z': (5, +1)})
mmt2 = (MomentTensor(m=symmat6(0, 0, 0, 0, 1, 1)),
{'r': (1, +1), 't': (4, +1), 'z': (6, +1)})
mmt3 = (MomentTensor(m=symmat6(0, 0, 1, 0, 0, 0)),
{'r': (2, +1), 'z': (7, +1)})
mmt4 = (MomentTensor(m=symmat6(0, 1, 0, 0, 0, 0)),
{'r': (8, +1), 'z': (9, +1)})
component_scheme = self.store.config.component_scheme
off = 0
if component_scheme == 'elastic8':
off = 8
elif component_scheme == 'elastic10':
off = 10
msf = (None, {
'fz.tr': (off+0, +1),
'fh.tr': (off+1, +1),
'fh.tt': (off+2, -1),
'fz.tz': (off+3, +1),
'fh.tz': (off+4, +1)})
if component_scheme == 'elastic5':
gfsneeded = (0, 0, 0, 0, 1, 1)
gfmapping = [msf]
elif component_scheme == 'elastic8':
gfsneeded = (1, 1, 1, 1, 0, 0)
gfmapping = [mmt1, mmt2, mmt3]
elif component_scheme == 'elastic10':
gfsneeded = (1, 1, 1, 1, 0, 0)
gfmapping = [mmt1, mmt2, mmt3, mmt4]
elif component_scheme == 'elastic13':
gfsneeded = (1, 1, 1, 1, 1, 1)
gfmapping = [mmt1, mmt2, mmt3, msf]
elif component_scheme == 'elastic15':
gfsneeded = (1, 1, 1, 1, 1, 1)
gfmapping = [mmt1, mmt2, mmt3, mmt4, msf]
conf.gf_sw_source_types = gfsneeded
conf.receiver_distances = [d/km for d in distances]
conf.receiver_azimuths = [0.0] * len(distances)
for mt, gfmap in gfmapping:
if mt:
m = mt.m()
f = float
conf.source_mech = QSeisSourceMechMT(
mnn=f(m[0, 0]), mee=f(m[1, 1]), mdd=f(m[2, 2]),
mne=f(m[0, 1]), mnd=f(m[0, 2]), med=f(m[1, 2]))
else:
conf.source_mech = None
if any(conf.gf_sw_source_types) or conf.source_mech is not None:
runner.run(conf)
if any(c in gfmap for c in qseis_components):
rawtraces = runner.get_traces('seis')
else:
rawtraces = runner.get_traces('gf')
interrupted = []
def signal_handler(signum, frame):
interrupted.append(True)
original = signal.signal(signal.SIGINT, signal_handler)
self.store.lock()
duplicate_inserts = 0
try:
for itr, tr in enumerate(rawtraces):
if tr.channel not in gfmap:
continue
x = tr.meta['distance']
if x > firstx + (nx-1)*dx:
continue
ig, factor = gfmap[tr.channel]
if len(self.store.config.ns) == 2:
args = (sz, x, ig)
else:
args = (rz, sz, x, ig)
if conf.cut:
tmin = self.store.t(conf.cut[0], args[:-1])
tmax = self.store.t(conf.cut[1], args[:-1])
if None in (tmin, tmax):
continue
tr.chop(tmin, tmax)
tmin = tr.tmin
tmax = tr.tmax
if conf.fade:
ta, tb, tc, td = [
self.store.t(v, args[:-1]) for v in conf.fade]
if None in (ta, tb, tc, td):
continue
if not (ta <= tb and tb <= tc and tc <= td):
raise QSeisError(
'invalid fade configuration')
t = tr.get_xdata()
fin = num.interp(t, [ta, tb], [0., 1.])
fout = num.interp(t, [tc, td], [1., 0.])
anti_fin = 1. - fin
anti_fout = 1. - fout
y = tr.ydata
sum_anti_fin = num.sum(anti_fin)
sum_anti_fout = num.sum(anti_fout)
if sum_anti_fin != 0.0:
yin = num.sum(anti_fin*y) / sum_anti_fin
else:
yin = 0.0
if sum_anti_fout != 0.0:
yout = num.sum(anti_fout*y) / sum_anti_fout
else:
yout = 0.0
y2 = anti_fin*yin + fin*fout*y + anti_fout*yout
if conf.relevel_with_fade_in:
y2 -= yin
tr.set_ydata(y2)
gf_tr = gf.store.GFTrace.from_trace(tr)
gf_tr.data *= factor
try:
self.store.put(args, gf_tr)
except gf.store.DuplicateInsert:
duplicate_inserts += 1
finally:
if duplicate_inserts:
logger.warn('%i insertions skipped (duplicates)' %
duplicate_inserts)
self.store.unlock()
signal.signal(signal.SIGINT, original)
if interrupted:
raise KeyboardInterrupt()
conf.gf_sw_source_types = (0, 0, 0, 0, 0, 0)
logger.info('Done with block %i / %i' %
(index+1, self.nblocks))
def work_block(self, index):
if len(self.store.config.ns) == 2:
(sz, firstx), (sz, lastx), (ns, nx) = \
self.get_block_extents(index)
rz = self.store.config.receiver_depth
else:
(rz, sz, firstx), (rz, sz, lastx), (nr, ns, nx) = \
self.get_block_extents(index)
logger.info('Starting block %i / %i' % (index + 1, self.nblocks))
dx = self.gf_config.distance_delta
distances = num.linspace(firstx, firstx + (nx - 1) * dx, nx).tolist()
mmt1 = (MomentTensor(m=symmat6(1, 0, 0, 1, 0, 0)), {
'r': (0, +1),
't': (3, +1),
'z': (5, +1)
})
mmt2 = (MomentTensor(m=symmat6(0, 0, 0, 0, 1, 1)), {
'r': (1, +1),
't': (4, +1),
'z': (6, +1)
})
mmt3 = (MomentTensor(m=symmat6(0, 0, 1, 0, 0, 0)), {
'r': (2, +1),
'z': (7, +1)
})
mmt4 = (MomentTensor(m=symmat6(0, 1, 0, 0, 0, 0)), {
'r': (8, +1),
'z': (9, +1)
})
mmt0 = (MomentTensor(m=symmat6(1, 1, 1, 0, 0, 0)), {
'r': (0, +1),
'z': (1, +1)
})
component_scheme = self.store.config.component_scheme
if component_scheme == 'elastic8':
gfmapping = [mmt1, mmt2, mmt3]
elif component_scheme == 'elastic10':
gfmapping = [mmt1, mmt2, mmt3, mmt4]
elif component_scheme == 'elastic2':
gfmapping = [mmt0]
elif component_scheme == 'elastic5':
gfmapping = [((1., 1., 0.), {
'r': (1, +1),
'z': (4, +1),
't': (2, +1)
}), ((0., 0., 1.), {
'r': (0, +1),
'z': (3, +1)
})]
else:
raise gf.UnavailableScheme(
'fomosto backend "ahfullgreen" cannot handle component scheme '
'"%s"' % component_scheme)
for source_mech, gfmap in gfmapping:
rawtraces = make_traces(
self.store.config.earthmodel_1d.require_homogeneous(),
source_mech, 1.0 / self.store.config.sample_rate, distances,
num.zeros_like(distances), sz, rz)
interrupted = []
def signal_handler(signum, frame):
interrupted.append(True)
original = signal.signal(signal.SIGINT, signal_handler)
self.store.lock()
duplicate_inserts = 0
try:
for itr, tr in enumerate(rawtraces):
if tr.channel not in gfmap:
logger.debug('%s not in gfmap' % tr.channel)
continue
x = tr.meta['distance']
if x > firstx + (nx - 1) * dx:
logger.error("x out of range")
continue
ig, factor = gfmap[tr.channel]
if len(self.store.config.ns) == 2:
args = (sz, x, ig)
else:
args = (rz, sz, x, ig)
tr = tr.snap()
gf_tr = gf.store.GFTrace.from_trace(tr)
gf_tr.data *= factor
try:
self.store.put(args, gf_tr)
except gf.store.DuplicateInsert:
duplicate_inserts += 1
finally:
if duplicate_inserts:
logger.warn('%i insertions skipped (duplicates)' %
duplicate_inserts)
self.store.unlock()
signal.signal(signal.SIGINT, original)
if interrupted:
raise KeyboardInterrupt()
logger.info('Done with block %i / %i' % (index + 1, self.nblocks))
"mt3",
"mt4",
"mt5",
"dc?",
"_",
"_",
]
order_mapping = dict(zip(order, range(len(order))))
wanted = ["name", "lat", "lon", "depth"]
events = []
with open(fn, "r") as f:
for line in f.readlines():
data = line.split()
kwargs = {}
for kw in wanted:
val = data[order_mapping[kw]]
val = float(val) if kw is not "name" else val
val = float(val) * 1000.0 if kw is "depth" else val
kwargs.update({kw: val})
time = str_to_time("%s %s" % (data[order_mapping["date"]].replace("/", "-"), data[order_mapping["time"]]))
kwargs.update({"time": time})
m = num.array([num.float(data[order_mapping["mt%i" % i]]) for i in range(6)])
mt = MomentTensor(m=symmat6(*m) * float(data[order_mapping["moment"]]))
kwargs.update({"moment_tensor": mt})
e = Event(**kwargs)
events.append(e)
dump_events(events, "events2008_mt.pf")
def pyrocko_moment_tensor(self):
return mt.MomentTensor(m=mt.symmat6(*self.m6_astuple))
def pyrocko_moment_tensor(self):
m0 = self.moment
return mt.MomentTensor(m=mt.symmat6(m0, m0, m0, 0., 0., 0.))
def oldloadf(file):
d = {}
try:
for line in file:
if line.lstrip().startswith('#'):
continue
toks = line.split(' = ', 1)
if len(toks) == 2:
k, v = toks[0].strip(), toks[1].strip()
if k in ('name', 'region', 'catalog', 'magnitude_type'):
d[k] = v
if k in (('latitude longitude magnitude depth duration '
'mnn mee mdd mne mnd med strike1 dip1 rake1 '
'strike2 dip2 rake2 duration').split()):
d[k] = float(v)
if k == 'time':
d[k] = util.str_to_time(v)
if line.startswith('---'):
d['have_separator'] = True
break
except Exception as e:
raise FileParseError(e)
if not d:
raise EOF()
if 'have_separator' in d and len(d) == 1:
raise EmptyEvent()
mt = None
m6 = [d[x] for x in 'mnn mee mdd mne mnd med'.split() if x in d]
if len(m6) == 6:
mt = moment_tensor.MomentTensor(m=moment_tensor.symmat6(*m6))
else:
sdr = [d[x] for x in 'strike1 dip1 rake1'.split() if x in d]
if len(sdr) == 3:
moment = 1.0
if 'moment' in d:
moment = d['moment']
elif 'magnitude' in d:
moment = moment_tensor.magnitude_to_moment(d['magnitude'])
mt = moment_tensor.MomentTensor(
strike=sdr[0], dip=sdr[1], rake=sdr[2],
scalar_moment=moment)
return (
d.get('latitude', 0.0),
d.get('longitude', 0.0),
d.get('time', 0.0),
d.get('name', ''),
d.get('depth', None),
d.get('magnitude', None),
d.get('magnitude_type', None),
d.get('region', None),
d.get('catalog', None),
mt,
d.get('duration', None))
def work_block(self, index):
if len(self.store.config.ns) == 2:
(sz, firstx), (sz, lastx), (ns, nx) = \
self.get_block_extents(index)
rz = self.store.config.receiver_depth
else:
(rz, sz, firstx), (rz, sz, lastx), (nr, ns, nx) = \
self.get_block_extents(index)
logger.info('Starting block %i / %i' %
(index+1, self.nblocks))
dx = self.gf_config.distance_delta
distances = num.linspace(firstx, firstx + (nx-1)*dx, nx).tolist()
mmt1 = (MomentTensor(m=symmat6(1, 0, 0, 1, 0, 0)),
{'r': (0, +1), 't': (3, +1), 'z': (5, +1)})
mmt2 = (MomentTensor(m=symmat6(0, 0, 0, 0, 1, 1)),
{'r': (1, +1), 't': (4, +1), 'z': (6, +1)})
mmt3 = (MomentTensor(m=symmat6(0, 0, 1, 0, 0, 0)),
{'r': (2, +1), 'z': (7, +1)})
mmt4 = (MomentTensor(m=symmat6(0, 1, 0, 0, 0, 0)),
{'r': (8, +1), 'z': (9, +1)})
mmt0 = (MomentTensor(m=symmat6(1, 1, 1, 0, 0, 0)),
{'r': (0, +1), 'z': (1, +1)})
component_scheme = self.store.config.component_scheme
if component_scheme == 'elastic8':
gfmapping = [mmt1, mmt2, mmt3]
elif component_scheme == 'elastic10':
gfmapping = [mmt1, mmt2, mmt3, mmt4]
elif component_scheme == 'elastic2':
gfmapping = [mmt0]
elif component_scheme == 'elastic5':
gfmapping = [
((1., 1., 0.), {'r': (1, +1), 'z': (4, +1), 't': (2, +1)}),
((0., 0., 1.), {'r': (0, +1), 'z': (3, +1)})]
else:
raise gf.UnavailableScheme(
'fomosto backend "ahfullgreen" cannot handle component scheme '
'"%s"' % component_scheme)
for source_mech, gfmap in gfmapping:
rawtraces = make_traces(
self.store.config.earthmodel_1d.require_homogeneous(),
source_mech, 1.0/self.store.config.sample_rate,
distances, num.zeros_like(distances), sz, rz)
interrupted = []
def signal_handler(signum, frame):
interrupted.append(True)
original = signal.signal(signal.SIGINT, signal_handler)
self.store.lock()
duplicate_inserts = 0
try:
for itr, tr in enumerate(rawtraces):
if tr.channel not in gfmap:
logger.debug('%s not in gfmap' % tr.channel)
continue
x = tr.meta['distance']
if x > firstx + (nx-1)*dx:
logger.error("x out of range")
continue
ig, factor = gfmap[tr.channel]
if len(self.store.config.ns) == 2:
args = (sz, x, ig)
else:
args = (rz, sz, x, ig)
tr = tr.snap()
gf_tr = gf.store.GFTrace.from_trace(tr)
gf_tr.data *= factor
try:
self.store.put(args, gf_tr)
except gf.store.DuplicateInsert:
duplicate_inserts += 1
finally:
if duplicate_inserts:
logger.warn('%i insertions skipped (duplicates)' %
duplicate_inserts)
self.store.unlock()
signal.signal(signal.SIGINT, original)
if interrupted:
raise KeyboardInterrupt()
logger.info('Done with block %i / %i' %
(index+1, self.nblocks))
def work_block(self, index):
if len(self.store.config.ns) == 2:
(sz, firstx), (sz, lastx), (ns, nx) = \
self.get_block_extents(index)
rz = self.store.config.receiver_depth
else:
(rz, sz, firstx), (rz, sz, lastx), (nr, ns, nx) = \
self.get_block_extents(index)
conf = copy.deepcopy(self.ahfullgreen_config)
logger.info('Starting block %i / %i' % (index + 1, self.nblocks))
conf.source_depth = float(sz)
conf.receiver_depth = float(rz)
runner = AhfullgreenRunner(tmp=self.tmp)
dx = self.gf_config.distance_delta
distances = num.linspace(firstx, firstx + (nx - 1) * dx, nx).tolist()
mmt1 = (MomentTensor(m=symmat6(1, 0, 0, 1, 0, 0)), {
'r': (0, +1),
't': (3, +1),
'z': (5, +1)
})
mmt2 = (MomentTensor(m=symmat6(0, 0, 0, 0, 1, 1)), {
'r': (1, +1),
't': (4, +1),
'z': (6, +1)
})
mmt3 = (MomentTensor(m=symmat6(0, 0, 1, 0, 0, 0)), {
'r': (2, +1),
'z': (7, +1)
})
mmt4 = (MomentTensor(m=symmat6(0, 1, 0, 0, 0, 0)), {
'r': (8, +1),
'z': (9, +1)
})
component_scheme = self.store.config.component_scheme
if component_scheme == 'elastic8':
gfmapping = [mmt1, mmt2, mmt3]
if component_scheme == 'elastic10':
gfmapping = [mmt1, mmt2, mmt3, mmt4]
conf.receiver_distances = distances
for mt, gfmap in gfmapping:
if mt:
conf.source_mech = mt
else:
conf.source_mech = None
if conf.source_mech is not None:
runner.run(conf)
rawtraces = runner.get_traces()
interrupted = []
def signal_handler(signum, frame):
interrupted.append(True)
original = signal.signal(signal.SIGINT, signal_handler)
self.store.lock()
duplicate_inserts = 0
try:
for itr, tr in enumerate(rawtraces):
if tr.channel not in gfmap:
logger.debug('%s not in gfmap' % tr.channel)
continue
x = tr.meta['distance']
if x > firstx + (nx - 1) * dx:
logger.error("x out of range")
continue
ig, factor = gfmap[tr.channel]
if len(self.store.config.ns) == 2:
args = (sz, x, ig)
else:
args = (rz, sz, x, ig)
if conf.cut:
tmin = self.store.t(conf.cut[0], args[:-1])
tmin = math.floor(tmin / conf.deltat) * conf.deltat
tmax = self.store.t(conf.cut[1], args[:-1])
tmax = math.ceil(tmax / conf.deltat) * conf.deltat
if None in (tmin, tmax):
continue
tr.chop(tmin, tmax)
tr = tr.snap()
if conf.fade:
ta, tb, tc, td = [
self.store.t(v, args[:-1]) for v in conf.fade
]
if None in (ta, tb, tc, td):
continue
if not (ta <= tb and tb <= tc and tc <= td):
raise AhfullgreenError(
'invalid fade configuration')
t = tr.get_xdata()
fin = num.interp(t, [ta, tb], [0., 1.])
fout = num.interp(t, [tc, td], [1., 0.])
anti_fin = 1. - fin
anti_fout = 1. - fout
y = tr.ydata
sum_anti_fin = num.sum(anti_fin)
sum_anti_fout = num.sum(anti_fout)
if sum_anti_fin != 0.0:
yin = num.sum(anti_fin * y) / sum_anti_fin
else:
yin = 0.0
if sum_anti_fout != 0.0:
yout = num.sum(anti_fout * y) / sum_anti_fout
else:
yout = 0.0
y2 = anti_fin * yin + fin * fout * y + anti_fout * yout
if conf.relevel_with_fade_in:
y2 -= yin
tr.set_ydata(y2)
gf_tr = gf.store.GFTrace.from_trace(tr)
gf_tr.data *= factor
try:
self.store.put(args, gf_tr)
except gf.store.DuplicateInsert:
duplicate_inserts += 1
finally:
if duplicate_inserts:
logger.warn('%i insertions skipped (duplicates)' %
duplicate_inserts)
self.store.unlock()
signal.signal(signal.SIGINT, original)
if interrupted:
raise KeyboardInterrupt()
conf.gf_sw_source_types = (0, 0, 0, 0, 0, 0)
logger.info('Done with block %i / %i' % (index + 1, self.nblocks))
class Event(Object):
'''Seismic event representation
:param lat: latitude of hypocenter (default 0.0)
:param lon: longitude of hypocenter (default 0.0)
:param time: origin time as float in seconds after '1970-01-01 00:00:00
:param name: event identifier as string (optional)
:param depth: source depth (optional)
:param magnitude: magnitude of event (optional)
:param region: source region (optional)
:param catalog: name of catalog that lists this event (optional)
:param moment_tensor: moment tensor as
:py:class:`moment_tensor.MomentTensor` instance (optional)
:param duration: source duration as float (optional)
'''
lat = Float.T(default=0.0)
lon = Float.T(default=0.0)
time = Timestamp.T(default=util.str_to_time('1970-01-01 00:00:00'))
name = String.T(default='', optional=True)
depth = Float.T(optional=True)
magnitude = Float.T(optional=True)
magnitude_type = String.T(optional=True)
region = String.T(optional=True)
catalog = String.T(optional=True)
moment_tensor = moment_tensor.MomentTensor.T(optional=True)
duration = Float.T(optional=True)
def __init__(self,
lat=0.,
lon=0.,
time=0.,
name='',
depth=None,
magnitude=None,
magnitude_type=None,
region=None,
load=None,
loadf=None,
catalog=None,
moment_tensor=None,
duration=None):
vals = None
if load is not None:
vals = Event.oldload(load)
elif loadf is not None:
vals = Event.oldloadf(loadf)
if vals:
lat, lon, time, name, depth, magnitude, magnitude_type, region, \
catalog, moment_tensor, duration = vals
Object.__init__(self,
lat=lat,
lon=lon,
time=time,
name=name,
depth=depth,
magnitude=magnitude,
magnitude_type=magnitude_type,
region=region,
catalog=catalog,
moment_tensor=moment_tensor,
duration=duration)
def time_as_string(self):
return util.time_to_str(self.time)
def set_name(self, name):
self.name = name
def olddump(self, filename):
file = open(filename, 'w')
self.olddumpf(file)
file.close()
def olddumpf(self, file):
file.write('name = %s\n' % self.name)
file.write('time = %s\n' % util.time_to_str(self.time))
if self.lat is not None:
file.write('latitude = %.12g\n' % self.lat)
if self.lon is not None:
file.write('longitude = %.12g\n' % self.lon)
if self.magnitude is not None:
file.write('magnitude = %g\n' % self.magnitude)
file.write('moment = %g\n' %
moment_tensor.magnitude_to_moment(self.magnitude))
if self.magnitude_type is not None:
file.write('magnitude_type = %s\n' % self.magnitude_type)
if self.depth is not None:
file.write('depth = %.10g\n' % self.depth)
if self.region is not None:
file.write('region = %s\n' % self.region)
if self.catalog is not None:
file.write('catalog = %s\n' % self.catalog)
if self.moment_tensor is not None:
m = self.moment_tensor.m()
sdr1, sdr2 = self.moment_tensor.both_strike_dip_rake()
file.write(
('mnn = %g\nmee = %g\nmdd = %g\nmne = %g\nmnd = %g\nmed = %g\n'
'strike1 = %g\ndip1 = %g\nrake1 = %g\n'
'strike2 = %g\ndip2 = %g\nrake2 = %g\n') %
((m[0, 0], m[1, 1], m[2, 2], m[0, 1], m[0, 2], m[1, 2]) +
sdr1 + sdr2))
if self.duration is not None:
file.write('duration = %g\n' % self.duration)
@staticmethod
def unique(events,
deltat=10.,
group_cmp=(lambda a, b: cmp(a.catalog, b.catalog))):
groups = Event.grouped(events, deltat)
events = []
for group in groups:
if group:
group.sort(group_cmp)
events.append(group[-1])
return events
@staticmethod
def grouped(events, deltat=10.):
events = list(events)
groups = []
for ia, a in enumerate(events):
groups.append([])
haveit = False
for ib, b in enumerate(events[:ia]):
if abs(b.time - a.time) < deltat:
groups[ib].append(a)
haveit = True
break
if not haveit:
groups[ia].append(a)
groups = [g for g in groups if g]
groups.sort(key=lambda g: sum(e.time for e in g) / len(g))
return groups
@staticmethod
def dump_catalog(events, filename=None, stream=None):
if filename is not None:
file = open(filename, 'w')
else:
file = stream
try:
i = 0
for ev in events:
ev.olddumpf(file)
file.write('--------------------------------------------\n')
i += 1
finally:
if filename is not None:
file.close()
@staticmethod
def oldload(filename):
with open(filename, 'r') as file:
return Event.oldloadf(file)
@staticmethod
def oldloadf(file):
d = {}
try:
for line in file:
if line.lstrip().startswith('#'):
continue
toks = line.split(' = ', 1)
if len(toks) == 2:
k, v = toks[0].strip(), toks[1].strip()
if k in ('name', 'region', 'catalog', 'magnitude_type'):
d[k] = v
if k in (('latitude longitude magnitude depth duration '
'mnn mee mdd mne mnd med strike1 dip1 rake1 '
'strike2 dip2 rake2 duration').split()):
d[k] = float(v)
if k == 'time':
d[k] = util.str_to_time(v)
if line.startswith('---'):
d['have_separator'] = True
break
except Exception, e:
raise FileParseError(e)
if not d:
raise EOF()
if 'have_separator' in d and len(d) == 1:
raise EmptyEvent()
mt = None
m6 = [d[x] for x in 'mnn mee mdd mne mnd med'.split() if x in d]
if len(m6) == 6:
mt = moment_tensor.MomentTensor(m=moment_tensor.symmat6(*m6))
else:
sdr = [d[x] for x in 'strike1 dip1 rake1'.split() if x in d]
if len(sdr) == 3:
moment = 1.0
if 'moment' in d:
moment = d['moment']
elif 'magnitude' in d:
moment = moment_tensor.magnitude_to_moment(d['magnitude'])
mt = moment_tensor.MomentTensor(strike=sdr[0],
dip=sdr[1],
rake=sdr[2],
scalar_moment=moment)
return (d.get('latitude', 0.0), d.get('longitude', 0.0),
d.get('time', 0.0), d.get('name', ''), d.get('depth', None),
d.get('magnitude', None), d.get('magnitude_type',
None), d.get('region', None),
d.get('catalog', None), mt, d.get('duration', None))
def work_block(self, iblock):
if len(self.store.config.ns) == 2:
(sz, firstx), (sz, lastx), (ns, nx) = \
self.get_block_extents(iblock)
rz = self.store.config.receiver_depth
else:
(rz, sz, firstx), (rz, sz, lastx), (nr, ns, nx) = \
self.get_block_extents(iblock)
source_depth = float(sz / km)
conf_s = copy.deepcopy(self.qseis_s_config)
conf_r = copy.deepcopy(self.qseis_r_config)
gf_directory = op.abspath(self.qseis_baseconf.gf_directory)
fk_path = op.join(gf_directory, 'green_%.3fkm.fk' % source_depth)
info_path = op.join(gf_directory, 'green_%.3fkm.info' % source_depth)
conf_s.fk_path = fk_path
conf_s.info_path = info_path
conf_r.fk_path = fk_path
conf_r.info_path = info_path
if self.step == 0 and os.path.isfile(fk_path):
logger.info('Skipping step %i / %i, block %i / %i'
'(GF already exists)' %
(self.step + 1, self.nsteps, iblock + 1, self.nblocks))
return
logger.info('Starting step %i / %i, block %i / %i' %
(self.step + 1, self.nsteps, iblock + 1, self.nblocks))
dx = self.gf_config.distance_delta
conf_r.wavelet_duration = 0.001 * self.gf_config.sample_rate
if self.step == 0:
conf_s.source_depth = source_depth
runner = QSeisSRunner(tmp=self.tmp)
runner.run(conf_s)
else:
conf_r.receiver = QSeisRReceiver(lat=90 - firstx * cake.m2d,
lon=180.,
tstart=0.0,
distance=firstx)
conf_r.source = QSeis2dSource(lat=90 - 0.001 * dx * cake.m2d,
lon=0.0,
depth=source_depth)
runner = QSeisRRunner(tmp=self.tmp)
mmt1 = (MomentTensor(m=symmat6(1, 0, 0, 1, 0, 0)), {
'r': (0, 1),
't': (3, 1),
'z': (5, 1)
})
mmt2 = (MomentTensor(m=symmat6(0, 0, 0, 0, 1, 1)), {
'r': (1, 1),
't': (4, 1),
'z': (6, 1)
})
mmt3 = (MomentTensor(m=symmat6(0, 0, 1, 0, 0, 0)), {
'r': (2, 1),
'z': (7, 1)
})
mmt4 = (MomentTensor(m=symmat6(0, 1, 0, 0, 0, 0)), {
'r': (8, 1),
'z': (9, 1)
})
gfmapping = [mmt1, mmt2, mmt3, mmt4]
for mt, gfmap in gfmapping:
if mt:
m = mt.m()
f = float
conf_r.source_mech = QSeisRSourceMechMT(mnn=f(m[0, 0]),
mee=f(m[1, 1]),
mdd=f(m[2, 2]),
mne=f(m[0, 1]),
mnd=f(m[0, 2]),
med=f(m[1, 2]))
else:
conf_r.source_mech = None
if conf_r.source_mech is not None:
runner.run(conf_r)
rawtraces = runner.get_traces()
interrupted = []
def signal_handler(signum, frame):
interrupted.append(True)
original = signal.signal(signal.SIGINT, signal_handler)
self.store.lock()
duplicate_inserts = 0
try:
for itr, tr in enumerate(rawtraces):
if tr.channel not in gfmap:
continue
x = tr.meta['distance']
if x > firstx + (nx - 1) * dx:
continue
ig, factor = gfmap[tr.channel]
if len(self.store.config.ns) == 2:
args = (sz, x, ig)
else:
args = (rz, sz, x, ig)
if self.qseis_baseconf.cut:
tmin = self.store.t(self.qseis_baseconf.cut[0],
args[:-1])
tmax = self.store.t(self.qseis_baseconf.cut[1],
args[:-1])
if None in (tmin, tmax):
continue
tr.chop(tmin, tmax)
tmin = tr.tmin
tmax = tr.tmax
if self.qseis_baseconf.fade:
ta, tb, tc, td = [
self.store.t(v, args[:-1])
for v in self.qseis_baseconf.fade
]
if None in (ta, tb, tc, td):
continue
if not (ta <= tb and tb <= tc and tc <= td):
raise QSeis2dError(
'invalid fade configuration')
t = tr.get_xdata()
fin = num.interp(t, [ta, tb], [0., 1.])
fout = num.interp(t, [tc, td], [1., 0.])
anti_fin = 1. - fin
anti_fout = 1. - fout
y = tr.ydata
sum_anti_fin = num.sum(anti_fin)
sum_anti_fout = num.sum(anti_fout)
if sum_anti_fin != 0.0:
yin = num.sum(anti_fin * y) / sum_anti_fin
else:
yin = 0.0
if sum_anti_fout != 0.0:
yout = num.sum(anti_fout * y) / sum_anti_fout
else:
yout = 0.0
y2 = anti_fin * yin + \
fin * fout * y + \
anti_fout * yout
if self.qseis_baseconf.relevel_with_fade_in:
y2 -= yin
tr.set_ydata(y2)
gf_tr = gf.store.GFTrace.from_trace(tr)
gf_tr.data *= factor
try:
self.store.put(args, gf_tr)
except gf.store.DuplicateInsert:
duplicate_inserts += 1
finally:
if duplicate_inserts:
logger.warn('%i insertions skipped (duplicates)' %
duplicate_inserts)
self.store.unlock()
signal.signal(signal.SIGINT, original)
if interrupted:
raise KeyboardInterrupt()
logger.info('Done with step %i / %i, block %i / %i' %
(self.step + 1, self.nsteps, iblock + 1, self.nblocks))
fig = plt.figure()
axes1 = fig.add_subplot(2, 3, 1, aspect=1.0)
axes2 = fig.add_subplot(2, 3, 2, aspect=1.0)
axes3 = fig.add_subplot(2, 3, 3, aspect=1.0)
axes4 = fig.add_subplot(2, 3, 4, projection="3d", aspect=1.0)
axes5 = fig.add_subplot(2, 3, 5, projection="3d", aspect=1.0)
try:
import mopad
except ImportError:
mopad = None
for x in range(nx):
# m6 = num.random.random(6)*2.-1.
m6 = (-2.0, -2.0, -2.0, 0.0, 0.0, 0.0)
m = mtm.symmat6(*m6)
mt = mtm.MomentTensor(m=m)
# mt = mt.deviatoric()
# strike = 270.
# dip = 0.0
# rake = 0.01
# strike = 360.
# dip = 28.373841741182012
# rake = 90.
# mt = mtm.MomentTensor(
# strike=strike,
# dip=dip,
# rake=rake)
def pyrocko_moment_tensor(self):
return mtm.MomentTensor(m=mtm.symmat6(*self.m6_astuple) * self.moment)
def __init__(self, *args):
qw.QWidget.__init__(self, *args)
mt = mtm.MomentTensor(m=mtm.symmat6(1., -1., 2., 0., -2., 1.))
self._mt = mt
self.set_moment_tensor(mt)
def __init__(self, *args):
QWidget.__init__(self, *args)
mt = mtm.MomentTensor(m=mtm.symmat6(1., -1., 2., 0., -2., 1.))
print mt
self._mt = mt
self.set_moment_tensor(mt)
def scaled_m6(self):
m9 = mtm.symmat6(*self.m6)
m0_unscaled = math.sqrt(num.sum(m9.A ** 2)) / math.sqrt(2.)
m9 /= m0_unscaled
m6 = mtm.to6(m9)
return m6
def work_block(self, index):
if len(self.store.config.ns) == 2:
(sz, firstx), (sz, lastx), (ns, nx) = \
self.get_block_extents(index)
rz = self.store.config.receiver_depth
else:
(rz, sz, firstx), (rz, sz, lastx), (nr, ns, nx) = \
self.get_block_extents(index)
conf = copy.deepcopy(self.qseis_config)
logger.info('Starting block %i / %i' % (index + 1, self.nblocks))
conf.source_depth = float(sz / km)
conf.receiver_depth = float(rz / km)
runner = QSeisRunner(tmp=self.tmp)
dx = self.gf_config.distance_delta
distances = num.linspace(firstx, firstx + (nx - 1) * dx, nx).tolist()
if distances[-1] < self.gf_config.distance_max:
# add global max distance, because qseis does some adjustments with
# this value
distances.append(self.gf_config.distance_max)
mmt1 = (MomentTensor(m=symmat6(1, 0, 0, 1, 0, 0)), {
'r': (0, +1),
't': (3, +1),
'z': (5, +1)
})
mmt2 = (MomentTensor(m=symmat6(0, 0, 0, 0, 1, 1)), {
'r': (1, +1),
't': (4, +1),
'z': (6, +1)
})
mmt3 = (MomentTensor(m=symmat6(0, 0, 1, 0, 0, 0)), {
'r': (2, +1),
'z': (7, +1)
})
mmt4 = (MomentTensor(m=symmat6(0, 1, 0, 0, 0, 0)), {
'r': (8, +1),
'z': (9, +1)
})
component_scheme = self.store.config.component_scheme
off = 0
if component_scheme == 'elastic8':
off = 8
elif component_scheme == 'elastic10':
off = 10
msf = (None, {
'fz.tr': (off + 0, +1),
'fh.tr': (off + 1, +1),
'fh.tt': (off + 2, -1),
'fz.tz': (off + 3, +1),
'fh.tz': (off + 4, +1)
})
if component_scheme == 'elastic5':
gfsneeded = (0, 0, 0, 0, 1, 1)
gfmapping = [msf]
elif component_scheme == 'elastic8':
gfsneeded = (1, 1, 1, 1, 0, 0)
gfmapping = [mmt1, mmt2, mmt3]
elif component_scheme == 'elastic10':
gfsneeded = (1, 1, 1, 1, 0, 0)
gfmapping = [mmt1, mmt2, mmt3, mmt4]
elif component_scheme == 'elastic13':
gfsneeded = (1, 1, 1, 1, 1, 1)
gfmapping = [mmt1, mmt2, mmt3, msf]
elif component_scheme == 'elastic15':
gfsneeded = (1, 1, 1, 1, 1, 1)
gfmapping = [mmt1, mmt2, mmt3, mmt4, msf]
conf.gf_sw_source_types = gfsneeded
conf.receiver_distances = [d / km for d in distances]
conf.receiver_azimuths = [0.0] * len(distances)
for mt, gfmap in gfmapping:
if mt:
m = mt.m()
f = float
conf.source_mech = QSeisSourceMechMT(mnn=f(m[0, 0]),
mee=f(m[1, 1]),
mdd=f(m[2, 2]),
mne=f(m[0, 1]),
mnd=f(m[0, 2]),
med=f(m[1, 2]))
else:
conf.source_mech = None
if any(conf.gf_sw_source_types) or conf.source_mech is not None:
runner.run(conf)
if any(c in gfmap for c in qseis_components):
rawtraces = runner.get_traces('seis')
else:
rawtraces = runner.get_traces('gf')
interrupted = []
def signal_handler(signum, frame):
interrupted.append(True)
original = signal.signal(signal.SIGINT, signal_handler)
self.store.lock()
duplicate_inserts = 0
try:
for itr, tr in enumerate(rawtraces):
if tr.channel not in gfmap:
continue
x = tr.meta['distance']
if x > firstx + (nx - 1) * dx:
continue
ig, factor = gfmap[tr.channel]
if len(self.store.config.ns) == 2:
args = (sz, x, ig)
else:
args = (rz, sz, x, ig)
if conf.cut:
tmin = self.store.t(conf.cut[0], args[:-1])
tmax = self.store.t(conf.cut[1], args[:-1])
if None in (tmin, tmax):
continue
tr.chop(tmin, tmax)
tmin = tr.tmin
tmax = tr.tmax
if conf.fade:
ta, tb, tc, td = [
self.store.t(v, args[:-1]) for v in conf.fade
]
if None in (ta, tb, tc, td):
continue
if not (ta <= tb and tb <= tc and tc <= td):
raise QSeisError('invalid fade configuration')
t = tr.get_xdata()
fin = num.interp(t, [ta, tb], [0., 1.])
fout = num.interp(t, [tc, td], [1., 0.])
anti_fin = 1. - fin
anti_fout = 1. - fout
y = tr.ydata
sum_anti_fin = num.sum(anti_fin)
sum_anti_fout = num.sum(anti_fout)
if sum_anti_fin != 0.0:
yin = num.sum(anti_fin * y) / sum_anti_fin
else:
yin = 0.0
if sum_anti_fout != 0.0:
yout = num.sum(anti_fout * y) / sum_anti_fout
else:
yout = 0.0
y2 = anti_fin * yin + fin * fout * y + anti_fout * yout
if conf.relevel_with_fade_in:
y2 -= yin
tr.set_ydata(y2)
gf_tr = gf.store.GFTrace.from_trace(tr)
gf_tr.data *= factor
try:
self.store.put(args, gf_tr)
except gf.store.DuplicateInsert:
duplicate_inserts += 1
finally:
if duplicate_inserts:
logger.warn('%i insertions skipped (duplicates)' %
duplicate_inserts)
self.store.unlock()
signal.signal(signal.SIGINT, original)
if interrupted:
raise KeyboardInterrupt()
conf.gf_sw_source_types = (0, 0, 0, 0, 0, 0)
logger.info('Done with block %i / %i' % (index + 1, self.nblocks))
def work_block(self, index):
if len(self.store.config.ns) == 2:
(sz, firstx), (sz, lastx), (ns, nx) = self.get_block_extents(index)
rz = self.store.config.receiver_depth
else:
(rz, sz, firstx), (rz, sz, lastx), (nr, ns, nx) = self.get_block_extents(index)
conf = copy.deepcopy(self.ahfullgreen_config)
logger.info("Starting block %i / %i" % (index + 1, self.nblocks))
conf.source_depth = float(sz)
conf.receiver_depth = float(rz)
runner = AhfullgreenRunner(tmp=self.tmp)
dx = self.gf_config.distance_delta
distances = num.linspace(firstx, firstx + (nx - 1) * dx, nx).tolist()
mmt1 = (MomentTensor(m=symmat6(1, 0, 0, 1, 0, 0)), {"r": (0, +1), "t": (3, +1), "z": (5, +1)})
mmt2 = (MomentTensor(m=symmat6(0, 0, 0, 0, 1, 1)), {"r": (1, +1), "t": (4, +1), "z": (6, +1)})
mmt3 = (MomentTensor(m=symmat6(0, 0, 1, 0, 0, 0)), {"r": (2, +1), "z": (7, +1)})
mmt4 = (MomentTensor(m=symmat6(0, 1, 0, 0, 0, 0)), {"r": (8, +1), "z": (9, +1)})
component_scheme = self.store.config.component_scheme
if component_scheme == "elastic8":
gfmapping = [mmt1, mmt2, mmt3]
if component_scheme == "elastic10":
gfmapping = [mmt1, mmt2, mmt3, mmt4]
conf.receiver_distances = distances
for mt, gfmap in gfmapping:
if mt:
conf.source_mech = mt
else:
conf.source_mech = None
if conf.source_mech is not None:
runner.run(conf)
rawtraces = runner.get_traces()
interrupted = []
def signal_handler(signum, frame):
interrupted.append(True)
original = signal.signal(signal.SIGINT, signal_handler)
self.store.lock()
duplicate_inserts = 0
try:
for itr, tr in enumerate(rawtraces):
if tr.channel not in gfmap:
logger.debug("%s not in gfmap" % tr.channel)
continue
x = tr.meta["distance"]
if x > firstx + (nx - 1) * dx:
logger.error("x out of range")
continue
ig, factor = gfmap[tr.channel]
if len(self.store.config.ns) == 2:
args = (sz, x, ig)
else:
args = (rz, sz, x, ig)
if conf.cut:
tmin = self.store.t(conf.cut[0], args[:-1])
tmin = math.floor(tmin / conf.deltat) * conf.deltat
tmax = self.store.t(conf.cut[1], args[:-1])
tmax = math.ceil(tmax / conf.deltat) * conf.deltat
if None in (tmin, tmax):
continue
tr.chop(tmin, tmax)
tr = tr.snap()
if conf.fade:
ta, tb, tc, td = [self.store.t(v, args[:-1]) for v in conf.fade]
if None in (ta, tb, tc, td):
continue
if not (ta <= tb and tb <= tc and tc <= td):
raise AhfullgreenError("invalid fade configuration")
t = tr.get_xdata()
fin = num.interp(t, [ta, tb], [0.0, 1.0])
fout = num.interp(t, [tc, td], [1.0, 0.0])
anti_fin = 1.0 - fin
anti_fout = 1.0 - fout
y = tr.ydata
sum_anti_fin = num.sum(anti_fin)
sum_anti_fout = num.sum(anti_fout)
if sum_anti_fin != 0.0:
yin = num.sum(anti_fin * y) / sum_anti_fin
else:
yin = 0.0
if sum_anti_fout != 0.0:
yout = num.sum(anti_fout * y) / sum_anti_fout
else:
yout = 0.0
y2 = anti_fin * yin + fin * fout * y + anti_fout * yout
if conf.relevel_with_fade_in:
y2 -= yin
tr.set_ydata(y2)
gf_tr = gf.store.GFTrace.from_trace(tr)
gf_tr.data *= factor
try:
self.store.put(args, gf_tr)
except gf.store.DuplicateInsert:
duplicate_inserts += 1
finally:
if duplicate_inserts:
logger.warn("%i insertions skipped (duplicates)" % duplicate_inserts)
self.store.unlock()
signal.signal(signal.SIGINT, original)
if interrupted:
raise KeyboardInterrupt()
conf.gf_sw_source_types = (0, 0, 0, 0, 0, 0)
logger.info("Done with block %i / %i" % (index + 1, self.nblocks))
def work_block(self, iblock):
if len(self.store.config.ns) == 2:
(sz, firstx), (sz, lastx), (ns, nx) = \
self.get_block_extents(iblock)
rz = self.store.config.receiver_depth
else:
(rz, sz, firstx), (rz, sz, lastx), (nr, ns, nx) = \
self.get_block_extents(iblock)
source_depth = float(sz / km)
conf_s = copy.deepcopy(self.qseis_s_config)
conf_r = copy.deepcopy(self.qseis_r_config)
gf_directory = op.abspath(self.qseis_baseconf.gf_directory)
fk_path = op.join(gf_directory, 'green_%.3fkm.fk' % source_depth)
info_path = op.join(gf_directory, 'green_%.3fkm.info' % source_depth)
conf_s.fk_path = fk_path
conf_s.info_path = info_path
conf_r.fk_path = fk_path
conf_r.info_path = info_path
if self.step == 0 and os.path.isfile(fk_path):
logger.info('Skipping step %i / %i, block %i / %i'
'(GF already exists)' %
(self.step + 1, self.nsteps, iblock + 1, self.nblocks))
return
logger.info(
'Starting step %i / %i, block %i / %i' %
(self.step + 1, self.nsteps, iblock + 1, self.nblocks))
dx = self.gf_config.distance_delta
conf_r.wavelet_duration = 0.001 * self.gf_config.sample_rate
if self.step == 0:
conf_s.source_depth = source_depth
runner = QSeisSRunner(tmp=self.tmp)
runner.run(conf_s)
else:
conf_r.receiver = QSeisRReceiver(lat=90 - firstx * cake.m2d,
lon=180.,
tstart=0.0,
distance=firstx)
conf_r.source = QSeis2dSource(lat=90 - 0.001 * dx * cake.m2d,
lon=0.0,
depth=source_depth)
runner = QSeisRRunner(tmp=self.tmp)
mmt1 = (MomentTensor(m=symmat6(1, 0, 0, 1, 0, 0)),
{'r': (0, 1), 't': (3, 1), 'z': (5, 1)})
mmt2 = (MomentTensor(m=symmat6(0, 0, 0, 0, 1, 1)),
{'r': (1, 1), 't': (4, 1), 'z': (6, 1)})
mmt3 = (MomentTensor(m=symmat6(0, 0, 1, 0, 0, 0)),
{'r': (2, 1), 'z': (7, 1)})
mmt4 = (MomentTensor(m=symmat6(0, 1, 0, 0, 0, 0)),
{'r': (8, 1), 'z': (9, 1)})
gfmapping = [mmt1, mmt2, mmt3, mmt4]
for mt, gfmap in gfmapping:
if mt:
m = mt.m()
f = float
conf_r.source_mech = QSeisRSourceMechMT(
mnn=f(m[0, 0]), mee=f(m[1, 1]), mdd=f(m[2, 2]),
mne=f(m[0, 1]), mnd=f(m[0, 2]), med=f(m[1, 2]))
else:
conf_r.source_mech = None
if conf_r.source_mech is not None:
runner.run(conf_r)
rawtraces = runner.get_traces()
interrupted = []
def signal_handler(signum, frame):
interrupted.append(True)
original = signal.signal(signal.SIGINT, signal_handler)
self.store.lock()
duplicate_inserts = 0
try:
for itr, tr in enumerate(rawtraces):
if tr.channel not in gfmap:
continue
x = tr.meta['distance']
if x > firstx + (nx - 1) * dx:
continue
ig, factor = gfmap[tr.channel]
if len(self.store.config.ns) == 2:
args = (sz, x, ig)
else:
args = (rz, sz, x, ig)
if self.qseis_baseconf.cut:
tmin = self.store.t(
self.qseis_baseconf.cut[0], args[:-1])
tmax = self.store.t(
self.qseis_baseconf.cut[1], args[:-1])
if None in (tmin, tmax):
continue
tr.chop(tmin, tmax)
tmin = tr.tmin
tmax = tr.tmax
if self.qseis_baseconf.fade:
ta, tb, tc, td = [
self.store.t(v, args[:-1])
for v in self.qseis_baseconf.fade]
if None in (ta, tb, tc, td):
continue
if not (ta <= tb and tb <= tc and tc <= td):
raise QSeis2dError(
'invalid fade configuration')
t = tr.get_xdata()
fin = num.interp(t, [ta, tb], [0., 1.])
fout = num.interp(t, [tc, td], [1., 0.])
anti_fin = 1. - fin
anti_fout = 1. - fout
y = tr.ydata
sum_anti_fin = num.sum(anti_fin)
sum_anti_fout = num.sum(anti_fout)
if sum_anti_fin != 0.0:
yin = num.sum(anti_fin * y) / sum_anti_fin
else:
yin = 0.0
if sum_anti_fout != 0.0:
yout = num.sum(anti_fout * y) / sum_anti_fout
else:
yout = 0.0
y2 = anti_fin * yin + \
fin * fout * y + \
anti_fout * yout
if self.qseis_baseconf.relevel_with_fade_in:
y2 -= yin
tr.set_ydata(y2)
gf_tr = gf.store.GFTrace.from_trace(tr)
gf_tr.data *= factor
try:
self.store.put(args, gf_tr)
except gf.store.DuplicateInsert:
duplicate_inserts += 1
finally:
if duplicate_inserts:
logger.warn('%i insertions skipped (duplicates)' %
duplicate_inserts)
self.store.unlock()
signal.signal(signal.SIGINT, original)
if interrupted:
raise KeyboardInterrupt()
logger.info(
'Done with step %i / %i, block %i / %i' %
(self.step + 1, self.nsteps, iblock + 1, self.nblocks))
fig = plt.figure()
axes1 = fig.add_subplot(2, 3, 1, aspect=1.)
axes2 = fig.add_subplot(2, 3, 2, aspect=1.)
axes3 = fig.add_subplot(2, 3, 3, aspect=1.)
axes4 = fig.add_subplot(2, 3, 4, projection='3d', aspect=1.)
axes5 = fig.add_subplot(2, 3, 5, projection='3d', aspect=1.)
try:
import mopad
except ImportError:
mopad = None
for x in range(nx):
#m6 = num.random.random(6)*2.-1.
m6 = (-2.0, -2.0, -2., 0., 0., 0.)
m = mtm.symmat6(*m6)
mt = mtm.MomentTensor(m=m)
#mt = mt.deviatoric()
#strike = 270.
#dip = 0.0
#rake = 0.01
#strike = 360.
#dip = 28.373841741182012
#rake = 90.
#mt = mtm.MomentTensor(
# strike=strike,
# dip=dip,
# rake=rake)