def read_pick(line):
"""
Convert REST pick string to ObsPy Pick object
:param line: string containing pick information
:type line: str
:returns:
:class:`obspy.core.event.Pick` and
:class:`obspy.core.event.origin.Arrival`
"""
# line = line.split() # Cannot just split the line :(
splits = [0, 6, 10, 15, 18, 22, 28, 29, 41, 49, -1]
_line = []
for split in range(len(splits) - 1):
_line.append(line[splits[split]: splits[split + 1]].strip())
line = _line
pick = Pick(time=UTCDateTime(
year=int(line[1]), julday=int(line[2]), hour=int(line[3]),
minute=int(line[4])) + float(line[5]), phase_hint=line[7],
evaluation_mode="automatic",
method_id=ResourceIdentifier("smi:local/REST"),
waveform_id=WaveformStreamID(station_code=line[0]),
time_errors=QuantityError(uncertainty=float(line[8])))
arrival = Arrival(
pick_id=pick.resource_id, time_residual=float(line[9]))
return pick, arrival
def _block2event(block, seed_map, id_default, ph2comp, eventid_map):
"""
Read HypoDD event block
"""
lines = block.strip().splitlines()
yr, mo, dy, hr, mn, sc, la, lo, dp, mg, eh, ez, rms, id_ = lines[0].split()
if eventid_map is not None and id_ in eventid_map:
id_ = eventid_map[id_]
time = UTCDateTime(int(yr),
int(mo),
int(dy),
int(hr),
int(mn),
float(sc),
strict=False)
laterr = None if float(eh) == 0 else float(eh) / DEG2KM
lonerr = (None if laterr is None or float(la) > 89 else laterr /
cos(deg2rad(float(la))))
ez = None if float(ez) == 0 else float(ez) * 1000
rms = None if float(rms) == 0 else float(rms)
picks = []
arrivals = []
for line in lines[1:]:
sta, reltime, weight, phase = line.split()
comp = ph2comp.get(phase, '')
wid = seed_map.get(sta, id_default)
_waveform_id = WaveformStreamID(seed_string=wid.format(sta, comp))
pick = Pick(waveform_id=_waveform_id,
phase_hint=phase,
time=time + float(reltime))
arrival = Arrival(phase=phase,
pick_id=pick.resource_id,
time_weight=float(weight))
picks.append(pick)
arrivals.append(arrival)
qu = OriginQuality(associated_phase_count=len(picks), standard_error=rms)
origin = Origin(arrivals=arrivals,
resource_id="smi:local/origin/" + id_,
quality=qu,
latitude=float(la),
longitude=float(lo),
depth=1000 * float(dp),
latitude_errors=laterr,
longitude_errors=lonerr,
depth_errors=ez,
time=time)
if mg.lower() == 'nan':
magnitudes = []
preferred_magnitude_id = None
else:
magnitude = Magnitude(mag=mg, resource_id="smi:local/magnitude/" + id_)
magnitudes = [magnitude]
preferred_magnitude_id = magnitude.resource_id
event = Event(resource_id="smi:local/event/" + id_,
picks=picks,
origins=[origin],
magnitudes=magnitudes,
preferred_origin_id=origin.resource_id,
preferred_magnitude_id=preferred_magnitude_id)
return event
def read_pick_line(string_line, new_event, _network_code):
time_origin = new_event.origins[0].time
_method_id = 'K'
_evaluation_mode = 'automatic'
time_error_ref = [0.5, 0.25, 0.1,
0.01] # translate weight into time uncertainty
### Start script
line = string_line
### Parse line
_station_code = line[1:6].strip()
tt = float(line[7:14])
weight = float(line[14:18])
_phase_hint = line[19:21].strip()
abs_time = time_origin + tt
_waveform_id = WaveformStreamID(network_code=_network_code,
station_code=_station_code)
### Put into Pick object
_time_errors = weight2error(weight, time_error_ref)
pick = Pick(waveform_id=_waveform_id,
phase_hint=_phase_hint,
time=abs_time,
method_id=_method_id,
evaluation_mode=_evaluation_mode,
time_errors=_time_errors)
### Put into Arrival object
arrival = Arrival(pick_id=pick.resource_id, phase=pick.phase_hint)
arrival.time_weight = weight
### Append to event
new_event.picks.append(pick)
new_event.origins[0].arrivals.append(arrival)
return new_event
def __toArrival(parser, pick_el, evaluation_mode, pick):
"""
"""
global CURRENT_TYPE
arrival = Arrival()
arrival.resource_id = ResourceIdentifier(prefix="/".join([RESOURCE_ROOT, "arrival"]))
arrival.pick_id = pick.resource_id
arrival.phase = parser.xpath2obj('phaseHint', pick_el)
arrival.azimuth = parser.xpath2obj('azimuth/value', pick_el, float)
arrival.distance = parser.xpath2obj('epi_dist/value', pick_el, float)
if arrival.distance is not None:
arrival.distance = kilometer2degrees(arrival.distance)
takeoff_angle, _ = __toFloatQuantity(parser, pick_el, "incident/value")
if takeoff_angle and not math.isnan(takeoff_angle):
arrival.takeoff_angle = takeoff_angle
arrival.time_residual = parser.xpath2obj('phase_res/value', pick_el, float)
arrival.time_weight = parser.xpath2obj('phase_weight/value', pick_el, float)
return arrival
def retrieve_usgs_catalog(**kwargs):
"""
Wrapper on obspy.clients.fdsn.Client and libcomcat (usgs) to retrieve a full
catalog, including phase picks (that otherwise are not supported by the usgs
fdsn implementation)
:param kwargs: Will be passed to the Client (e.g. minlongitude, maxmagnitude
etc...)
:return: obspy.core.events.Catalog
"""
cli = Client('https://earthquake.usgs.gov')
cat = cli.get_events(**kwargs)
# Now loop over each event and grab the phase dataframe using libcomcat
for ev in cat:
print(ev.resource_id.id)
eid = ev.resource_id.id.split('=')[-2].split('&')[0]
detail = get_event_by_id(eid, includesuperseded=True)
phase_df = get_phase_dataframe(detail)
o = ev.preferred_origin()
for i, phase_info in phase_df.iterrows():
seed_id = phase_info['Channel'].split('.')
loc = seed_id[-1]
if loc == '--':
loc = ''
wf_id = WaveformStreamID(network_code=seed_id[0],
station_code=seed_id[1],
location_code=loc,
channel_code=seed_id[2])
pk = Pick(time=UTCDateTime(phase_info['Arrival Time']),
method=phase_info['Status'],
waveform_id=wf_id,
phase_hint=phase_info['Phase'])
ev.picks.append(pk)
arr = Arrival(pick_id=pk.resource_id.id,
phase=pk.phase_hint,
azimuth=phase_info['Azimuth'],
distance=phase_info['Distance'],
time_residual=phase_info['Residual'],
time_weight=phase_info['Weight'])
o.arrivals.append(arr)
# Try to read focal mechanisms/moment tensors
if 'moment-tensor' in detail.products:
# Always take MT where available
mt_xml = detail.getProducts('moment-tensor')[0].getContentBytes(
'quakeml.xml')[0]
elif 'focal-mechanism' in detail.products:
mt_xml = detail.getProducts('focal-mechanism')[0].getContentBytes(
'quakeml.xml')[0]
else:
continue
mt_ev = read_events(
io.TextIOWrapper(io.BytesIO(mt_xml), encoding='utf-8'))
FM = mt_ev[0].focal_mechanisms[0]
FM.triggering_origin_id = ev.preferred_origin().resource_id.id
ev.focal_mechanisms = [FM]
return cat
def _block2event(block, seed_map, id_default, ph2comp):
"""
Read HypoDD event block
"""
lines = block.strip().splitlines()
yr, mo, dy, hr, mn, sc, la, lo, dp, mg, eh, ez, rms, id_ = lines[0].split()
time = UTCDateTime(int(yr),
int(mo),
int(dy),
int(hr),
int(mn),
float(sc),
strict=False)
picks = []
arrivals = []
for line in lines[1:]:
sta, reltime, weight, phase = line.split()
comp = ph2comp.get(phase, '')
wid = seed_map.get(sta, id_default)
_waveform_id = WaveformStreamID(seed_string=wid.format(sta, comp))
pick = Pick(waveform_id=_waveform_id,
phase_hint=phase,
time=time + float(reltime))
arrival = Arrival(phase=phase,
pick_id=pick.resource_id,
time_weight=float(weight))
picks.append(pick)
arrivals.append(arrival)
qu = None if rms == '0.0' else OriginQuality(standard_error=float(rms))
origin = Origin(arrivals=arrivals,
resource_id="smi:local/origin/" + id_,
quality=qu,
latitude=float(la),
longitude=float(lo),
depth=1000 * float(dp),
time=time)
if mg.lower() == 'nan':
magnitudes = []
preferred_magnitude_id = None
else:
magnitude = Magnitude(mag=mg, resource_id="smi:local/magnitude/" + id_)
magnitudes = [magnitude]
preferred_magnitude_id = magnitude.resource_id
event = Event(resource_id="smi:local/event/" + id_,
picks=picks,
origins=[origin],
magnitudes=magnitudes,
preferred_origin_id=origin.resource_id,
preferred_magnitude_id=preferred_magnitude_id)
return event
def _phase_to_event(event_text):
"""
Function to convert the text for one event in hypoDD phase format to \
event object.
:type event_text: dict
:param event_text: dict of two elements, header and picks, header is a \
str, picks is a list of str.
:returns: obspy.core.event.Event
"""
from obspy.core.event import Event, Origin, Magnitude
from obspy.core.event import Pick, WaveformStreamID, Arrival
from obspy import UTCDateTime
ph_event = Event()
# Extract info from header line
# YR, MO, DY, HR, MN, SC, LAT, LON, DEP, MAG, EH, EZ, RMS, ID
header = event_text['header'].split()
ph_event.origins.append(Origin())
ph_event.origins[0].time = UTCDateTime(
year=int(header[1]),
month=int(header[2]),
day=int(header[3]),
hour=int(header[4]),
minute=int(header[5]),
second=int(header[6].split('.')[0]),
microsecond=int(float(('0.' + header[6].split('.')[1])) * 1000000))
ph_event.origins[0].latitude = float(header[7])
ph_event.origins[0].longitude = float(header[8])
ph_event.origins[0].depth = float(header[9]) * 1000
ph_event.origins[0].time_errors['Time_Residual_RMS'] = float(header[13])
ph_event.magnitudes.append(Magnitude())
ph_event.magnitudes[0].mag = float(header[10])
ph_event.magnitudes[0].magnitude_type = 'M'
# Extract arrival info from picks!
for i, pick_line in enumerate(event_text['picks']):
pick = pick_line.split()
_waveform_id = WaveformStreamID(station_code=pick[0])
pick_time = ph_event.origins[0].time + float(pick[1])
ph_event.picks.append(
Pick(waveform_id=_waveform_id, phase_hint=pick[3], time=pick_time))
ph_event.origins[0].arrivals.append(
Arrival(phase=ph_event.picks[i],
pick_id=ph_event.picks[i].resource_id))
ph_event.origins[0].arrivals[i].time_weight = float(pick[2])
return ph_event
def make_test_catalog(self):
"""
Make a test catalog with fixed resource IDs some of which reference
other objects belonging to the event (eg arrivals -> picks)
"""
pick_rid = ResourceIdentifier(id='obspy.org/tests/test_pick')
origin_rid = ResourceIdentifier(id='obspy.org/tests/test_origin')
arrival_rid = ResourceIdentifier(id='obspy.org/tests/test_arrival')
ar_pick_rid = ResourceIdentifier(id='obspy.org/tests/test_pick')
catatlog_rid = ResourceIdentifier(id='obspy.org/tests/test_catalog')
picks = [Pick(time=UTCDateTime(), resource_id=pick_rid)]
arrivals = [Arrival(resource_id=arrival_rid, pick_id=ar_pick_rid)]
origins = [Origin(arrivals=arrivals, resource_id=origin_rid)]
events = [Event(picks=picks, origins=origins)]
events[0].preferred_origin_id = str(origin_rid.id)
catalog = Catalog(events=events, resource_id=catatlog_rid)
# next bind all unbound resource_ids to the current event scope
catalog.resource_id.bind_resource_ids()
return catalog
def add_dummy_picks(self):
"""
Don't call this function for a real job
"""
import random
for i, r in enumerate(self.all_stations.iterrows()):
d = r[1].to_dict() # pandas series to dict
res = ResourceIdentifier('custom_pick_{}'.format(i))
wav_id = WaveformStreamID(station_code=d[STATION_CODE],
network_code=d[NETWORK_CODE],
channel_code='BHN')
# randomly choose a time from the available picks
p = Pick(resource_id=res, waveform_id=wav_id,
phase_hint='S', time=random.choice(self.picks).time)
self.picks.append(p) # add to picks list
a = Arrival(pick_id=res, phase='S')
self._pref_origin.arrivals.append(a)
if i == 4: # i.e., insert 5 random picks and arrivals
break
def outputOBSPY(hp, event=None, only_fm_picks=False):
"""
Make an Event which includes the current focal mechanism information from HASH
Use the 'only_fm_picks' flag to only include the picks HASH used for the FocalMechanism.
This flag will replace the 'picks' and 'arrivals' lists of existing events with new ones.
Inputs
-------
hp : hashpy.HashPype instance
event : obspy.core.event.Event
only_fm_picks : bool of whether to overwrite the picks/arrivals lists
Returns
-------
obspy.core.event.Event
Event will be new if no event was input, FocalMech added to existing event
"""
# Returns new (or updates existing) Event with HASH solution
n = hp.npol
if event is None:
event = Event(focal_mechanisms=[], picks=[], origins=[])
origin = Origin(arrivals=[])
origin.time = UTCDateTime(hp.tstamp)
origin.latitude = hp.qlat
origin.longitude = hp.qlon
origin.depth = hp.qdep
origin.creation_info = CreationInfo(version=hp.icusp)
origin.resource_id = ResourceIdentifier('smi:hash/Origin/{0}'.format(
hp.icusp))
for _i in range(n):
p = Pick()
p.creation_info = CreationInfo(version=hp.arid[_i])
p.resource_id = ResourceIdentifier('smi:nsl/Pick/{0}'.format(
p.creation_info.version))
p.waveform_id = WaveformStreamID(network_code=hp.snet[_i],
station_code=hp.sname[_i],
channel_code=hp.scomp[_i])
if hp.p_pol[_i] > 0:
p.polarity = 'positive'
else:
p.polarity = 'negative'
a = Arrival()
a.creation_info = CreationInfo(version=hp.arid[_i])
a.resource_id = ResourceIdentifier('smi:nsl/Arrival/{0}'.format(
p.creation_info.version))
a.azimuth = hp.p_azi_mc[_i, 0]
a.takeoff_angle = 180. - hp.p_the_mc[_i, 0]
a.pick_id = p.resource_id
origin.arrivals.append(a)
event.picks.append(p)
event.origins.append(origin)
event.preferred_origin_id = origin.resource_id.resource_id
else: # just update the changes
origin = event.preferred_origin()
picks = []
arrivals = []
for _i in range(n):
ind = hp.p_index[_i]
a = origin.arrivals[ind]
p = a.pick_id.getReferredObject()
a.takeoff_angle = hp.p_the_mc[_i, 0]
picks.append(p)
arrivals.append(a)
if only_fm_picks:
origin.arrivals = arrivals
event.picks = picks
# Use me double couple calculator and populate planes/axes etc
x = hp._best_quality_index
# Put all the mechanisms into the 'focal_mechanisms' list, mark "best" as preferred
for s in range(hp.nmult):
dc = DoubleCouple([hp.str_avg[s], hp.dip_avg[s], hp.rak_avg[s]])
ax = dc.axis
focal_mech = FocalMechanism()
focal_mech.creation_info = CreationInfo(creation_time=UTCDateTime(),
author=hp.author)
focal_mech.triggering_origin_id = origin.resource_id
focal_mech.resource_id = ResourceIdentifier(
'smi:hash/FocalMechanism/{0}/{1}'.format(hp.icusp, s + 1))
focal_mech.method_id = ResourceIdentifier('HASH')
focal_mech.nodal_planes = NodalPlanes()
focal_mech.nodal_planes.nodal_plane_1 = NodalPlane(*dc.plane1)
focal_mech.nodal_planes.nodal_plane_2 = NodalPlane(*dc.plane2)
focal_mech.principal_axes = PrincipalAxes()
focal_mech.principal_axes.t_axis = Axis(azimuth=ax['T']['azimuth'],
plunge=ax['T']['dip'])
focal_mech.principal_axes.p_axis = Axis(azimuth=ax['P']['azimuth'],
plunge=ax['P']['dip'])
focal_mech.station_polarity_count = n
focal_mech.azimuthal_gap = hp.magap
focal_mech.misfit = hp.mfrac[s]
focal_mech.station_distribution_ratio = hp.stdr[s]
focal_mech.comments.append(
Comment(
hp.qual[s],
resource_id=ResourceIdentifier(
focal_mech.resource_id.resource_id + '/comment/quality')))
#----------------------------------------
event.focal_mechanisms.append(focal_mech)
if s == x:
event.preferred_focal_mechanism_id = focal_mech.resource_id.resource_id
return event
out_long=out[i][7::11] # all lons
if len(out_et) > 1:
et = UTCDateTime(out_et[0])
lats = out_lat[0]
lons = out_long[0]
if str(out[i][0]) == str(ev):
out_3.append(out[i])
db_catalog = Catalog() # start empty catalog
#Append picks and events from db to Catalog
for i, events in enumerate(out_3):
event=Event()
picks=Pick()
origin=Origin()
arrival=Arrival()
e_time=out_3[i][1::33]
sta = out_3[i][2::33]
cha = out_3[i][3::33]
phase = out_3[i][4::33]
pick_time = out_3[i][5::33] #phase pick time
lat = out_3[i][6::33]
lon = out_3[i][7::33]
orid=out_3[i][8::33]
dep = out_3[i][9::33]
ml=out_3[i][10::33]
for x, times in enumerate(pick_time):
event.resource_id=str(out_3[i][0]) #assign evid
rd = str(out_3[i][0])
picks = Pick(resource_id=rd, time=UTCDateTime(pick_time[x]),
waveform_id = WaveformStreamID(network_code="CI", station_code=str(sta[x]), channel_code=str(cha[x])), phase_hint=str(phase[x]))
def _read_picks(f, new_event):
"""
Internal pick reader. Use read_nordic instead.
:type f: file
:param f: File open in read mode
:type wav_names: list
:param wav_names: List of waveform files in the sfile
:type new_event: :class:`~obspy.core.event.event.Event`
:param new_event: event to associate picks with.
:returns: :class:`~obspy.core.event.event.Event`
"""
f.seek(0)
evtime = new_event.origins[0].time
pickline = []
# Set a default, ignored later unless overwritten
snr = None
for line in f:
if line[79] == '7':
header = line
break
for line in f:
if len(line.rstrip('\n').rstrip('\r')) in [80, 79] and \
line[79] in ' 4\n':
pickline += [line]
for line in pickline:
if line[18:28].strip() == '': # If line is empty miss it
continue
weight = line[14]
if weight == '_':
phase = line[10:17]
weight = 0
polarity = ''
else:
phase = line[10:14].strip()
polarity = line[16]
if weight == ' ':
weight = 0
polarity_maps = {"": "undecidable", "C": "positive", "D": "negative"}
try:
polarity = polarity_maps[polarity]
except KeyError:
polarity = "undecidable"
# It is valid nordic for the origin to be hour 23 and picks to be hour
# 00 or 24: this signifies a pick over a day boundary.
if int(line[18:20]) == 0 and evtime.hour == 23:
day_add = 86400
pick_hour = 0
elif int(line[18:20]) == 24:
day_add = 86400
pick_hour = 0
else:
day_add = 0
pick_hour = int(line[18:20])
try:
time = UTCDateTime(evtime.year, evtime.month,
evtime.day, pick_hour, int(line[20:22]),
float(line[23:28])) + day_add
except ValueError:
time = UTCDateTime(evtime.year, evtime.month, evtime.day,
int(line[18:20]), pick_hour,
float("0." + line[23:38].split('.')[1])) +\
60 + day_add
# Add 60 seconds on to the time, this copes with s-file
# preference to write seconds in 1-60 rather than 0-59 which
# datetime objects accept
if header[57:60] == 'AIN':
ain = _float_conv(line[57:60])
warnings.warn('AIN: %s in header, currently unsupported' % ain)
elif header[57:60] == 'SNR':
snr = _float_conv(line[57:60])
else:
warnings.warn('%s is not currently supported' % header[57:60])
# finalweight = _int_conv(line[68:70])
# Create a new obspy.event.Pick class for this pick
_waveform_id = WaveformStreamID(station_code=line[1:6].strip(),
channel_code=line[6:8].strip(),
network_code='NA')
pick = Pick(waveform_id=_waveform_id,
phase_hint=phase,
polarity=polarity,
time=time)
try:
pick.onset = onsets[line[9]]
except KeyError:
pass
if line[15] == 'A':
pick.evaluation_mode = 'automatic'
else:
pick.evaluation_mode = 'manual'
# Note these two are not always filled - velocity conversion not yet
# implemented, needs to be converted from km/s to s/deg
# if not velocity == 999.0:
# new_event.picks[pick_index].horizontal_slowness = 1.0 / velocity
if _float_conv(line[46:51]) is not None:
pick.backazimuth = _float_conv(line[46:51])
# Create new obspy.event.Amplitude class which references above Pick
# only if there is an amplitude picked.
if _float_conv(line[33:40]) is not None:
_amplitude = Amplitude(generic_amplitude=_float_conv(line[33:40]),
period=_float_conv(line[41:45]),
pick_id=pick.resource_id,
waveform_id=pick.waveform_id)
if pick.phase_hint == 'IAML':
# Amplitude for local magnitude
_amplitude.type = 'AML'
# Set to be evaluating a point in the trace
_amplitude.category = 'point'
# Default AML unit in seisan is nm (Page 139 of seisan
# documentation, version 10.0)
_amplitude.generic_amplitude /= 1e9
_amplitude.unit = 'm'
_amplitude.magnitude_hint = 'ML'
else:
# Generic amplitude type
_amplitude.type = 'A'
if snr:
_amplitude.snr = snr
new_event.amplitudes.append(_amplitude)
elif _int_conv(line[28:33]) is not None:
# Create an amplitude instance for code duration also
_amplitude = Amplitude(generic_amplitude=_int_conv(line[28:33]),
pick_id=pick.resource_id,
waveform_id=pick.waveform_id)
# Amplitude for coda magnitude
_amplitude.type = 'END'
# Set to be evaluating a point in the trace
_amplitude.category = 'duration'
_amplitude.unit = 's'
_amplitude.magnitude_hint = 'Mc'
if snr is not None:
_amplitude.snr = snr
new_event.amplitudes.append(_amplitude)
# Create new obspy.event.Arrival class referencing above Pick
if _float_conv(line[33:40]) is None:
arrival = Arrival(phase=pick.phase_hint, pick_id=pick.resource_id)
if weight is not None:
arrival.time_weight = weight
if _int_conv(line[60:63]) is not None:
arrival.backazimuth_residual = _int_conv(line[60:63])
if _float_conv(line[63:68]) is not None:
arrival.time_residual = _float_conv(line[63:68])
if _float_conv(line[70:75]) is not None:
arrival.distance = kilometers2degrees(_float_conv(line[70:75]))
if _int_conv(line[76:79]) is not None:
arrival.azimuth = _int_conv(line[76:79])
new_event.origins[0].arrivals.append(arrival)
new_event.picks.append(pick)
return new_event
def _parseRecordS(self, line, event, p_pick, p_arrival):
"""
Parses the 'secondary phases' record S
Secondary phases are following phases of the reading,
and can be P-type or S-type.
"""
arrivals = []
phase = line[7:15].strip()
arrival_time = line[15:24]
if phase:
arrivals.append((phase, arrival_time))
phase = line[25:33].strip()
arrival_time = line[33:42]
if phase:
arrivals.append((phase, arrival_time))
phase = line[43:51].strip()
arrival_time = line[51:60]
if phase:
arrivals.append((phase, arrival_time))
evid = event.resource_id.id.split('/')[-1]
station_string =\
p_pick.waveform_id.getSEEDString()\
.replace(' ', '-').replace('.', '_').lower()
origin = event.origins[0]
for phase, arrival_time in arrivals:
if phase[0:2] == 'D=':
#unused: depth = self._float(phase[2:7])
try:
depth_usage_flag = phase[7]
except IndexError:
#usage flag is not defined
depth_usage_flag = None
#FIXME: I'm not sure that 'X' actually
#means 'used'
if depth_usage_flag == 'X':
#FIXME: is this enough to say that
#the event is constained by depth pahses?
origin.depth_type = 'constrained by depth phases'
origin.quality.depth_phase_count += 1
else:
pick = Pick()
prefix = '/'.join(
(res_id_prefix, 'pick', evid, station_string))
pick.resource_id = ResourceIdentifier(prefix=prefix)
date = origin.time.strftime('%Y%m%d')
pick.time = UTCDateTime(date + arrival_time)
#Check if pick is on the next day:
if pick.time < origin.time:
pick.time += timedelta(days=1)
pick.waveform_id = p_pick.waveform_id
pick.backazimuth = p_pick.backazimuth
onset = phase[0]
if onset == 'e':
pick.onset = 'emergent'
phase = phase[1:]
elif onset == 'i':
pick.onset = 'impulsive'
phase = phase[1:]
elif onset == 'q':
pick.onset = 'questionable'
phase = phase[1:]
pick.phase_hint = phase.strip()
event.picks.append(pick)
arrival = Arrival()
prefix = '/'.join(
(res_id_prefix, 'arrival', evid, station_string))
arrival.resource_id = ResourceIdentifier(prefix=prefix)
arrival.pick_id = pick.resource_id
arrival.phase = pick.phase_hint
arrival.azimuth = p_arrival.azimuth
arrival.distance = p_arrival.distance
origin.quality.associated_phase_count += 1
origin.arrivals.append(arrival)
def _read_single_hypocenter(lines, coordinate_converter, original_picks):
"""
Given a list of lines (starting with a 'NLLOC' line and ending with a
'END_NLLOC' line), parse them into an Event.
"""
try:
# some paranoid checks..
assert lines[0].startswith("NLLOC ")
assert lines[-1].startswith("END_NLLOC")
for line in lines[1:-1]:
assert not line.startswith("NLLOC ")
assert not line.startswith("END_NLLOC")
except Exception:
msg = ("This should not have happened, please report this as a bug at "
"https://github.com/obspy/obspy/issues.")
raise Exception(msg)
indices_phases = [None, None]
for i, line in enumerate(lines):
if line.startswith("PHASE "):
indices_phases[0] = i
elif line.startswith("END_PHASE"):
indices_phases[1] = i
# extract PHASES lines (if any)
if any(indices_phases):
if not all(indices_phases):
msg = ("NLLOC HYP file seems corrupt, 'PHASE' block is corrupt.")
raise RuntimeError(msg)
i1, i2 = indices_phases
lines, phases_lines = lines[:i1] + lines[i2 + 1:], lines[i1 + 1:i2]
else:
phases_lines = []
lines = dict([line.split(None, 1) for line in lines[:-1]])
line = lines["SIGNATURE"]
line = line.rstrip().split('"')[1]
signature, version, date, time = line.rsplit(" ", 3)
# new NLLoc > 6.0 seems to add prefix 'run:' before date
if date.startswith('run:'):
date = date[4:]
signature = signature.strip()
creation_time = UTCDateTime.strptime(date + time, str("%d%b%Y%Hh%Mm%S"))
if coordinate_converter:
# maximum likelihood origin location in km info line
line = lines["HYPOCENTER"]
x, y, z = coordinate_converter(*map(float, line.split()[1:7:2]))
else:
# maximum likelihood origin location lon lat info line
line = lines["GEOGRAPHIC"]
y, x, z = map(float, line.split()[8:13:2])
# maximum likelihood origin time info line
line = lines["GEOGRAPHIC"]
year, mon, day, hour, min = map(int, line.split()[1:6])
seconds = float(line.split()[6])
time = UTCDateTime(year, mon, day, hour, min, seconds, strict=False)
# distribution statistics line
line = lines["STATISTICS"]
covariance_xx = float(line.split()[7])
covariance_yy = float(line.split()[13])
covariance_zz = float(line.split()[17])
stats_info_string = str(
"Note: Depth/Latitude/Longitude errors are calculated from covariance "
"matrix as 1D marginal (Lon/Lat errors as great circle degrees) "
"while OriginUncertainty min/max horizontal errors are calculated "
"from 2D error ellipsoid and are therefore seemingly higher compared "
"to 1D errors. Error estimates can be reconstructed from the "
"following original NonLinLoc error statistics line:\nSTATISTICS " +
lines["STATISTICS"])
# goto location quality info line
line = lines["QML_OriginQuality"].split()
(assoc_phase_count, used_phase_count, assoc_station_count,
used_station_count, depth_phase_count) = map(int, line[1:11:2])
stderr, az_gap, sec_az_gap = map(float, line[11:17:2])
gt_level = line[17]
min_dist, max_dist, med_dist = map(float, line[19:25:2])
# goto location quality info line
line = lines["QML_OriginUncertainty"]
if "COMMENT" in lines:
comment = lines["COMMENT"].strip()
comment = comment.strip('\'"')
comment = comment.strip()
hor_unc, min_hor_unc, max_hor_unc, hor_unc_azim = \
map(float, line.split()[1:9:2])
# assign origin info
event = Event()
o = Origin()
event.origins = [o]
event.preferred_origin_id = o.resource_id
o.origin_uncertainty = OriginUncertainty()
o.quality = OriginQuality()
ou = o.origin_uncertainty
oq = o.quality
o.comments.append(Comment(text=stats_info_string, force_resource_id=False))
event.comments.append(Comment(text=comment, force_resource_id=False))
# SIGNATURE field's first item is LOCSIG, which is supposed to be
# 'Identification of an individual, institiution or other entity'
# according to
# http://alomax.free.fr/nlloc/soft6.00/control.html#_NLLoc_locsig_
# so use it as author in creation info
event.creation_info = CreationInfo(creation_time=creation_time,
version=version,
author=signature)
o.creation_info = CreationInfo(creation_time=creation_time,
version=version,
author=signature)
# negative values can appear on diagonal of covariance matrix due to a
# precision problem in NLLoc implementation when location coordinates are
# large compared to the covariances.
o.longitude = x
try:
o.longitude_errors.uncertainty = kilometer2degrees(sqrt(covariance_xx))
except ValueError:
if covariance_xx < 0:
msg = ("Negative value in XX value of covariance matrix, not "
"setting longitude error (epicentral uncertainties will "
"still be set in origin uncertainty).")
warnings.warn(msg)
else:
raise
o.latitude = y
try:
o.latitude_errors.uncertainty = kilometer2degrees(sqrt(covariance_yy))
except ValueError:
if covariance_yy < 0:
msg = ("Negative value in YY value of covariance matrix, not "
"setting longitude error (epicentral uncertainties will "
"still be set in origin uncertainty).")
warnings.warn(msg)
else:
raise
o.depth = z * 1e3 # meters!
o.depth_errors.uncertainty = sqrt(covariance_zz) * 1e3 # meters!
o.depth_errors.confidence_level = 68
o.depth_type = str("from location")
o.time = time
ou.horizontal_uncertainty = hor_unc
ou.min_horizontal_uncertainty = min_hor_unc
ou.max_horizontal_uncertainty = max_hor_unc
# values of -1 seem to be used for unset values, set to None
for field in ("horizontal_uncertainty", "min_horizontal_uncertainty",
"max_horizontal_uncertainty"):
if ou.get(field, -1) == -1:
ou[field] = None
else:
ou[field] *= 1e3 # meters!
ou.azimuth_max_horizontal_uncertainty = hor_unc_azim
ou.preferred_description = str("uncertainty ellipse")
ou.confidence_level = 68 # NonLinLoc in general uses 1-sigma (68%) level
oq.standard_error = stderr
oq.azimuthal_gap = az_gap
oq.secondary_azimuthal_gap = sec_az_gap
oq.used_phase_count = used_phase_count
oq.used_station_count = used_station_count
oq.associated_phase_count = assoc_phase_count
oq.associated_station_count = assoc_station_count
oq.depth_phase_count = depth_phase_count
oq.ground_truth_level = gt_level
oq.minimum_distance = kilometer2degrees(min_dist)
oq.maximum_distance = kilometer2degrees(max_dist)
oq.median_distance = kilometer2degrees(med_dist)
# go through all phase info lines
for line in phases_lines:
line = line.split()
arrival = Arrival()
o.arrivals.append(arrival)
station = str(line[0])
phase = str(line[4])
arrival.phase = phase
arrival.distance = kilometer2degrees(float(line[21]))
arrival.azimuth = float(line[23])
arrival.takeoff_angle = float(line[24])
arrival.time_residual = float(line[16])
arrival.time_weight = float(line[17])
pick = Pick()
# network codes are not used by NonLinLoc, so they can not be known
# when reading the .hyp file.. to conform with QuakeML standard set an
# empty network code
wid = WaveformStreamID(network_code="", station_code=station)
# have to split this into ints for overflow to work correctly
date, hourmin, sec = map(str, line[6:9])
ymd = [int(date[:4]), int(date[4:6]), int(date[6:8])]
hm = [int(hourmin[:2]), int(hourmin[2:4])]
t = UTCDateTime(*(ymd + hm), strict=False) + float(sec)
pick.waveform_id = wid
pick.time = t
pick.time_errors.uncertainty = float(line[10])
pick.phase_hint = phase
pick.onset = ONSETS.get(line[3].lower(), None)
pick.polarity = POLARITIES.get(line[5].lower(), None)
# try to determine original pick for each arrival
for pick_ in original_picks:
wid = pick_.waveform_id
if station == wid.station_code and phase == pick_.phase_hint:
pick = pick_
break
else:
# warn if original picks were specified and we could not associate
# the arrival correctly
if original_picks:
msg = ("Could not determine corresponding original pick for "
"arrival. "
"Falling back to pick information in NonLinLoc "
"hypocenter-phase file.")
warnings.warn(msg)
event.picks.append(pick)
arrival.pick_id = pick.resource_id
event.scope_resource_ids()
return event
def _parse_arrivals(self, event, origin, origin_res_id):
# Skip header of arrivals
next(self.lines)
# Stop the loop after 2 empty lines (according to the standard).
previous_line_empty = False
for line in self.lines:
line_empty = not line or line.isspace()
if not self.event_point_separator:
# Event are separated by two empty lines
if line_empty and previous_line_empty:
break
else:
# Event are separated by '.'
if line.startswith('.'):
break
previous_line_empty = line_empty
if line_empty:
# Skip empty lines when the loop should be stopped by
# point
continue
magnitude_types = []
magnitude_values = []
fields = self.fields['arrival']
station = line[fields['sta']].strip()
distance = line[fields['dist']].strip()
event_azimuth = line[fields['ev_az']].strip()
evaluation_mode = line[fields['picktype']].strip()
direction = line[fields['direction']].strip()
onset = line[fields['detchar']].strip()
phase = line[fields['phase']].strip()
time = line[fields['time']].strip().replace('/', '-')
time_residual = line[fields['t_res']].strip()
arrival_azimuth = line[fields['azim']].strip()
azimuth_residual = line[fields['az_res']].strip()
slowness = line[fields['slow']].strip()
slowness_residual = line[fields['s_res']].strip()
time_defining_flag = line[fields['t_def']].strip()
azimuth_defining_flag = line[fields['a_def']].strip()
slowness_defining_flag = line[fields['s_def']].strip()
snr = line[fields['snr']].strip()
amplitude_value = line[fields['amp']].strip()
period = line[fields['per']].strip()
magnitude_types.append(line[fields['mag_type_1']].strip())
magnitude_values.append(line[fields['mag_1']].strip())
magnitude_types.append(line[fields['mag_type_2']].strip())
magnitude_values.append(line[fields['mag_2']].strip())
line_id = line[fields['id']].strip()
# Don't take pick and arrival with wrong time residual
if '*' in time_residual:
continue
try:
pick = Pick()
pick.creation_info = self._get_creation_info()
pick.waveform_id = WaveformStreamID()
pick.waveform_id.station_code = station
pick.time = UTCDateTime(time)
network_code = self.default_network_code
location_code = self.default_location_code
channel_code = self.default_channel_code
try:
network_code, channel = self._get_channel(
station, pick.time)
if channel:
channel_code = channel.code
location_code = channel.location_code
except TypeError:
pass
pick.waveform_id.network_code = network_code
pick.waveform_id.channel_code = channel_code
if location_code:
pick.waveform_id.location_code = location_code
try:
ev_mode = EVALUATION_MODES[evaluation_mode]
pick.evaluation_mode = ev_mode
except KeyError:
pass
try:
pick.polarity = PICK_POLARITIES[direction]
except KeyError:
pass
try:
pick.onset = PICK_ONSETS[onset]
except KeyError:
pass
pick.phase_hint = phase
try:
pick.backazimuth = float(arrival_azimuth)
except ValueError:
pass
try:
pick.horizontal_slowness = float(slowness)
except ValueError:
pass
public_id = "pick/%s" % line_id
pick.resource_id = self._get_res_id(public_id)
event.picks.append(pick)
except (TypeError, ValueError, AttributeError):
# Can't parse pick, skip arrival and amplitude parsing
continue
arrival = Arrival()
arrival.creation_info = self._get_creation_info()
try:
arrival.pick_id = pick.resource_id.id
except AttributeError:
pass
arrival.phase = phase
try:
arrival.azimuth = float(event_azimuth)
except ValueError:
pass
try:
arrival.distance = float(distance)
except ValueError:
pass
try:
arrival.time_residual = float(time_residual)
except ValueError:
pass
try:
arrival.backazimuth_residual = float(azimuth_residual)
except ValueError:
pass
try:
arrival.horizontal_slowness_residual = float(slowness_residual)
except ValueError:
pass
if time_defining_flag == 'T':
arrival.time_weight = 1
if azimuth_defining_flag == 'A':
arrival.backazimuth_weight = 1
if slowness_defining_flag == 'S':
arrival.horizontal_slowness_weight = 1
public_id = "arrival/%s" % line_id
arrival.resource_id = self._get_res_id(public_id,
parent_res_id=origin_res_id)
origin.arrivals.append(arrival)
try:
amplitude = Amplitude()
amplitude.creation_info = self._get_creation_info()
amplitude.generic_amplitude = float(amplitude_value)
try:
amplitude.pick_id = pick.resource_id
amplitude.waveform_id = pick.waveform_id
except AttributeError:
pass
try:
amplitude.period = float(period)
except ValueError:
pass
try:
amplitude.snr = float(snr)
except ValueError:
pass
for i in [0, 1]:
if magnitude_types[i] and not magnitude_types[i].isspace():
amplitude.magnitude_hint = magnitude_types[i]
public_id = "amplitude/%s" % line_id
amplitude.resource_id = self._get_res_id(public_id)
event.amplitudes.append(amplitude)
for i in [0, 1]:
sta_mag = StationMagnitude()
sta_mag.creation_info = self._get_creation_info()
sta_mag.origin_id = origin_res_id
sta_mag.amplitude_id = amplitude.resource_id
sta_mag.station_magnitude_type = magnitude_types[i]
sta_mag.mag = magnitude_values[i]
sta_mag.waveform_id = pick.waveform_id
public_id = "magnitude/station/%s/%s" % (line_id, i)
sta_mag.resource_id = self._get_res_id(public_id)
event.station_magnitudes.append(sta_mag)
# Associate station mag with network mag of same type
mag = self._find_magnitude_by_type(event, origin_res_id,
magnitude_types[i])
if mag:
contrib = StationMagnitudeContribution()
contrib.station_magnitude_id = sta_mag.resource_id
contrib.weight = 1.0
mag.station_magnitude_contributions.append(contrib)
except ValueError:
pass
def sdxtoquakeml(sdx_dir,
out_xml,
time_uncertainties=[0.1, 0.2, 0.5, 0.8, 1.5],
catalog_description="",
catalog_version="",
agency_id="",
author="",
vel_mod_id=""):
"""
Convert SDX to QuakeML format using ObsPy inventory structure.
SDX filename prefix is stored under event description.
Input parameters:
- sdx_dir: directory containing sdx files (required)
- out_xml: Filename of quakeML file (required)
- time_uncertainties: List containing time uncertainities in seconds
for mapping from weights 0-4, respectively (optional)
- catalog_description (optional)
- cat_agency_id (optional)
- author (optional)
- vel_mod_id (optional)
Output:
- xml catalog in QuakeML format.
"""
# Prepare catalog
cat = Catalog(description=catalog_description,
creation_info=CreationInfo(author=author,
agency_id=agency_id,
version=catalog_version))
# Read in sdx files in directory, recursively
files = glob.glob("{:}/**/*.sdx".format(sdx_dir), recursive=True)
if len(files) == 0:
print("No SDX files found in path. Exiting")
for sdx_file_path in files:
print("Working on ", sdx_file_path.split('/')[-1])
# Set-up event
evt_id = (sdx_file_path.split('/')[-1])[:-4]
event = Event(event_type="earthquake",
creation_info=CreationInfo(author=author,
agency_id=agency_id),
event_descriptions=[EventDescription(text=evt_id)])
# Get station details, append to arrays
sdx_file = open(sdx_file_path, "r")
stations = []
for line in sdx_file:
if line.rstrip() == "station":
sdxstation = list(islice(sdx_file, 5))
stations.append([
sdxstation[1].split()[0],
float(sdxstation[2].split()[0]),
float(sdxstation[3].split()[0]),
float(sdxstation[4].split()[0])
])
sdx_file.close()
# Find origin details, append to origin object
sdx_file = open(sdx_file_path, "r")
found_origin = False
for line in sdx_file:
if line.rstrip() == "origin":
found_origin = True
sdxorigin = list(islice(sdx_file, 17))
orig_time = ("{:}T{:}".format(
sdxorigin[1][0:10].replace(".", "-"), sdxorigin[1][11:23]))
evt_lat = float(sdxorigin[2].split()[0])
evt_lon = float(sdxorigin[3].split()[0])
evt_depth = float(sdxorigin[4].split()[0])
creation_time = UTCDateTime("{:}T{:}".format(
sdxorigin[16].split()[6][0:10].replace(".", "-"),
sdxorigin[16].split()[6][11:23]))
num_arrivals = int(sdxorigin[12].split()[0])
num_arrivals_p = (int(sdxorigin[12].split()[0]) -
int(sdxorigin[12].split()[1]))
min_dist = float(sdxorigin[12].split()[9])
max_dist = float(sdxorigin[12].split()[10])
med_dist = float(sdxorigin[12].split()[11])
max_az_gap = float(sdxorigin[12].split()[6])
origin = Origin(time=UTCDateTime(orig_time),
longitude=evt_lon,
latitude=evt_lat,
depth=evt_depth * -1000,
earth_model_id=vel_mod_id,
origin_type="hypocenter",
evaluation_mode="manual",
evaluation_status="confirmed",
method_id=ResourceIdentifier(id="SDX_hypo71"),
creation_info=CreationInfo(
creation_time=creation_time,
author=author,
agency_id=agency_id),
quality=OriginQuality(
associated_phase_count=num_arrivals,
used_phase_count=num_arrivals,
associated_station_count=num_arrivals_p,
used_station_count=num_arrivals_p,
azimuthal_gap=max_az_gap,
minimum_distance=min_dist,
maximum_distance=max_dist,
median_distance=med_dist))
event.origins.append(origin)
sdx_file.close()
# Skip event if no computed origin
if found_origin is False:
print("No origin found ... skipping event")
continue
# Get pick details, append to pick and arrival objects
sdx_file = open(sdx_file_path, "r")
found_pick = False
for line in sdx_file:
if line.rstrip() == "pick":
found_pick = True
sdxpick = list(islice(sdx_file, 15))
pick_time = UTCDateTime("{:}T{:}".format(
sdxpick[1][0:10].replace(".", "-"), sdxpick[1][11:23]))
network = sdxpick[2].split()[0]
station = sdxpick[2].split()[1]
location = sdxpick[2].split()[2]
if "NOT_SET" in location:
location = ""
channel = sdxpick[2].split()[3]
onset = sdxpick[8].split()[0]
if onset == "0":
pickonset = "emergent"
elif onset == "1":
pickonset = "impulsive"
elif onset == "2":
pickonset = "questionable"
phase = sdxpick[9].split()[0]
polarity = sdxpick[10].split()[0]
if polarity == "0":
pol = "positive"
elif polarity == "1":
pol = "negative"
elif polarity == "2":
pol = "undecidable"
weight = int(sdxpick[11].split()[0])
creation_time = UTCDateTime("{:}T{:}".format(
sdxpick[14].split()[6][0:10].replace(".", "-"),
sdxpick[14].split()[6][11:23]))
pick = Pick(
time=pick_time,
waveform_id=WaveformStreamID(network_code=network,
station_code=station,
location_code=location,
channel_code=channel),
time_errors=time_uncertainties[weight],
evaluation_mode="manual",
evaluation_status="confirmed",
onset=pickonset,
phase_hint=phase,
polarity=pol,
method_id=ResourceIdentifier(id="SDX"),
creation_info=CreationInfo(creation_time=creation_time))
event.picks.append(pick)
# Compute azimuth, distance, append to arrival object
for i in range(0, len(stations)):
if stations[i][0] == station:
azimuth = (gps2dist_azimuth(evt_lat, evt_lon,
stations[i][1],
stations[i][2])[1])
dist_deg = locations2degrees(evt_lat, evt_lon,
stations[i][1],
stations[i][2])
arrival = Arrival(phase=phase,
pick_id=pick.resource_id,
azimuth=azimuth,
distance=dist_deg,
time_weight=1.00)
event.origins[0].arrivals.append(arrival)
# Skip event if no picks
if found_pick is False:
print("No picks found ... skipping event")
continue
# Set preferred origin and append event to catalogue
event.preferred_origin_id = event.origins[0].resource_id
cat.events.append(event)
sdx_file.close()
cat.write(out_xml, format="QUAKEML")
def _parse_arrivals(self, event, origin, origin_res_id):
# Skip header of arrivals
next(self.lines)
# Stop the loop after 2 empty lines (according to the standard).
previous_line_empty = False
for line in self.lines:
line_empty = not line or line.isspace()
if not self.event_point_separator:
# Event are separated by two empty lines
if line_empty and previous_line_empty:
break
else:
# Event are separated by '.'
if line.startswith('.'):
break
previous_line_empty = line_empty
if line_empty:
# Skip empty lines when the loop should be stopped by
# point
continue
magnitude_types = []
magnitude_values = []
fields = self.fields['arrival']
station = line[fields['sta']].strip()
distance = line[fields['dist']].strip()
event_azimuth = line[fields['ev_az']].strip()
evaluation_mode = line[fields['picktype']].strip()
direction = line[fields['direction']].strip()
onset = line[fields['detchar']].strip()
phase = line[fields['phase']].strip()
time = line[fields['time']].strip().replace('/', '-')
time_residual = line[fields['t_res']].strip()
arrival_azimuth = line[fields['azim']].strip()
azimuth_residual = line[fields['az_res']].strip()
slowness = line[fields['slow']].strip()
slowness_residual = line[fields['s_res']].strip()
time_defining_flag = line[fields['t_def']].strip()
azimuth_defining_flag = line[fields['a_def']].strip()
slowness_defining_flag = line[fields['s_def']].strip()
snr = line[fields['snr']].strip()
amplitude_value = line[fields['amp']].strip()
period = line[fields['per']].strip()
magnitude_types.append(line[fields['mag_type_1']].strip())
magnitude_values.append(line[fields['mag_1']].strip())
magnitude_types.append(line[fields['mag_type_2']].strip())
magnitude_values.append(line[fields['mag_2']].strip())
line_id = line[fields['id']].strip()
# Don't take pick and arrival with wrong time residual
if '*' in time_residual:
continue
try:
pick = Pick()
pick.creation_info = self._get_creation_info()
pick.waveform_id = WaveformStreamID()
pick.waveform_id.station_code = station
pick.time = UTCDateTime(time)
network_code = self.default_network_code
location_code = self.default_location_code
channel_code = self.default_channel_code
try:
network_code, channel = self._get_channel(station,
pick.time)
if channel:
channel_code = channel.code
location_code = channel.location_code
except TypeError:
pass
pick.waveform_id.network_code = network_code
pick.waveform_id.channel_code = channel_code
if location_code:
pick.waveform_id.location_code = location_code
try:
ev_mode = EVALUATION_MODES[evaluation_mode]
pick.evaluation_mode = ev_mode
except KeyError:
pass
try:
pick.polarity = PICK_POLARITIES[direction]
except KeyError:
pass
try:
pick.onset = PICK_ONSETS[onset]
except KeyError:
pass
pick.phase_hint = phase
try:
pick.backazimuth = float(arrival_azimuth)
except ValueError:
pass
try:
pick.horizontal_slowness = float(slowness)
except ValueError:
pass
public_id = "pick/%s" % line_id
pick.resource_id = self._get_res_id(public_id)
event.picks.append(pick)
except (TypeError, ValueError, AttributeError):
# Can't parse pick, skip arrival and amplitude parsing
continue
arrival = Arrival()
arrival.creation_info = self._get_creation_info()
try:
arrival.pick_id = pick.resource_id.id
except AttributeError:
pass
arrival.phase = phase
try:
arrival.azimuth = float(event_azimuth)
except ValueError:
pass
try:
arrival.distance = float(distance)
except ValueError:
pass
try:
arrival.time_residual = float(time_residual)
except ValueError:
pass
try:
arrival.backazimuth_residual = float(azimuth_residual)
except ValueError:
pass
try:
arrival.horizontal_slowness_residual = float(slowness_residual)
except ValueError:
pass
if time_defining_flag == 'T':
arrival.time_weight = 1
if azimuth_defining_flag == 'A':
arrival.backazimuth_weight = 1
if slowness_defining_flag == 'S':
arrival.horizontal_slowness_weight = 1
public_id = "arrival/%s" % line_id
arrival.resource_id = self._get_res_id(public_id,
parent_res_id=origin_res_id)
origin.arrivals.append(arrival)
try:
amplitude = Amplitude()
amplitude.creation_info = self._get_creation_info()
amplitude.generic_amplitude = float(amplitude_value)
try:
amplitude.pick_id = pick.resource_id
amplitude.waveform_id = pick.waveform_id
except AttributeError:
pass
try:
amplitude.period = float(period)
except ValueError:
pass
try:
amplitude.snr = float(snr)
except ValueError:
pass
for i in [0, 1]:
if magnitude_types[i] and not magnitude_types[i].isspace():
amplitude.magnitude_hint = magnitude_types[i]
public_id = "amplitude/%s" % line_id
amplitude.resource_id = self._get_res_id(public_id)
event.amplitudes.append(amplitude)
for i in [0, 1]:
sta_mag = StationMagnitude()
sta_mag.creation_info = self._get_creation_info()
sta_mag.origin_id = origin_res_id
sta_mag.amplitude_id = amplitude.resource_id
sta_mag.station_magnitude_type = magnitude_types[i]
sta_mag.mag = magnitude_values[i]
public_id = "magnitude/station/%s/%s" % (line_id, i)
sta_mag.resource_id = self._get_res_id(public_id)
event.station_magnitudes.append(sta_mag)
except ValueError:
pass
def full_test_event():
"""
Function to generate a basic, full test event
"""
test_event = Event()
test_event.origins.append(
Origin(time=UTCDateTime("2012-03-26") + 1.2,
latitude=45.0,
longitude=25.0,
depth=15000))
test_event.event_descriptions.append(EventDescription())
test_event.event_descriptions[0].text = 'LE'
test_event.creation_info = CreationInfo(agency_id='TES')
test_event.magnitudes.append(
Magnitude(mag=0.1,
magnitude_type='ML',
creation_info=CreationInfo('TES'),
origin_id=test_event.origins[0].resource_id))
test_event.magnitudes.append(
Magnitude(mag=0.5,
magnitude_type='Mc',
creation_info=CreationInfo('TES'),
origin_id=test_event.origins[0].resource_id))
test_event.magnitudes.append(
Magnitude(mag=1.3,
magnitude_type='Ms',
creation_info=CreationInfo('TES'),
origin_id=test_event.origins[0].resource_id))
# Define the test pick
_waveform_id_1 = WaveformStreamID(station_code='FOZ',
channel_code='SHZ',
network_code='NZ')
_waveform_id_2 = WaveformStreamID(station_code='WTSZ',
channel_code='BH1',
network_code=' ')
# Pick to associate with amplitude
test_event.picks.append(
Pick(waveform_id=_waveform_id_1,
phase_hint='IAML',
polarity='undecidable',
time=UTCDateTime("2012-03-26") + 1.68,
evaluation_mode="manual"))
# Need a second pick for coda
test_event.picks.append(
Pick(waveform_id=_waveform_id_1,
onset='impulsive',
phase_hint='PN',
polarity='positive',
time=UTCDateTime("2012-03-26") + 1.68,
evaluation_mode="manual"))
# Unassociated pick
test_event.picks.append(
Pick(waveform_id=_waveform_id_2,
onset='impulsive',
phase_hint='SG',
polarity='undecidable',
time=UTCDateTime("2012-03-26") + 1.72,
evaluation_mode="manual"))
# Unassociated pick
test_event.picks.append(
Pick(waveform_id=_waveform_id_2,
onset='impulsive',
phase_hint='PN',
polarity='undecidable',
time=UTCDateTime("2012-03-26") + 1.62,
evaluation_mode="automatic"))
# Test a generic local magnitude amplitude pick
test_event.amplitudes.append(
Amplitude(generic_amplitude=2.0,
period=0.4,
pick_id=test_event.picks[0].resource_id,
waveform_id=test_event.picks[0].waveform_id,
unit='m',
magnitude_hint='ML',
category='point',
type='AML'))
# Test a coda magnitude pick
test_event.amplitudes.append(
Amplitude(generic_amplitude=10,
pick_id=test_event.picks[1].resource_id,
waveform_id=test_event.picks[1].waveform_id,
type='END',
category='duration',
unit='s',
magnitude_hint='Mc',
snr=2.3))
test_event.origins[0].arrivals.append(
Arrival(time_weight=0,
phase=test_event.picks[1].phase_hint,
pick_id=test_event.picks[1].resource_id))
test_event.origins[0].arrivals.append(
Arrival(time_weight=2,
phase=test_event.picks[2].phase_hint,
pick_id=test_event.picks[2].resource_id,
backazimuth_residual=5,
time_residual=0.2,
distance=15,
azimuth=25))
test_event.origins[0].arrivals.append(
Arrival(time_weight=2,
phase=test_event.picks[3].phase_hint,
pick_id=test_event.picks[3].resource_id,
backazimuth_residual=5,
time_residual=0.2,
distance=15,
azimuth=25))
# Add in error info (line E)
test_event.origins[0].quality = OriginQuality(standard_error=0.01,
azimuthal_gap=36)
# Origin uncertainty in Seisan is output as long-lat-depth, quakeML has
# semi-major and semi-minor
test_event.origins[0].origin_uncertainty = OriginUncertainty(
confidence_ellipsoid=ConfidenceEllipsoid(
semi_major_axis_length=3000,
semi_minor_axis_length=1000,
semi_intermediate_axis_length=2000,
major_axis_plunge=20,
major_axis_azimuth=100,
major_axis_rotation=4))
test_event.origins[0].time_errors = QuantityError(uncertainty=0.5)
# Add in fault-plane solution info (line F) - Note have to check program
# used to determine which fields are filled....
test_event.focal_mechanisms.append(
FocalMechanism(nodal_planes=NodalPlanes(
nodal_plane_1=NodalPlane(strike=180,
dip=20,
rake=30,
strike_errors=QuantityError(10),
dip_errors=QuantityError(10),
rake_errors=QuantityError(20))),
method_id=ResourceIdentifier(
"smi:nc.anss.org/focalMechanism/FPFIT"),
creation_info=CreationInfo(agency_id="NC"),
misfit=0.5,
station_distribution_ratio=0.8))
# Need to test high-precision origin and that it is preferred origin.
# Moment tensor includes another origin
test_event.origins.append(
Origin(time=UTCDateTime("2012-03-26") + 1.2,
latitude=45.1,
longitude=25.2,
depth=14500))
test_event.magnitudes.append(
Magnitude(mag=0.1,
magnitude_type='MW',
creation_info=CreationInfo('TES'),
origin_id=test_event.origins[-1].resource_id))
# Moment tensors go with focal-mechanisms
test_event.focal_mechanisms.append(
FocalMechanism(moment_tensor=MomentTensor(
derived_origin_id=test_event.origins[-1].resource_id,
moment_magnitude_id=test_event.magnitudes[-1].resource_id,
scalar_moment=100,
tensor=Tensor(
m_rr=100, m_tt=100, m_pp=10, m_rt=1, m_rp=20, m_tp=15),
method_id=ResourceIdentifier(
'smi:nc.anss.org/momentTensor/BLAH'))))
return test_event
def full_test_event():
"""
Function to generate a basic, full test event
"""
from obspy.core.event import Pick, WaveformStreamID, Arrival, Amplitude
from obspy.core.event import Event, Origin, Magnitude
from obspy.core.event import EventDescription, CreationInfo
from obspy import UTCDateTime
test_event = Event()
test_event.origins.append(Origin())
test_event.origins[0].time = UTCDateTime("2012-03-26") + 1
test_event.event_descriptions.append(EventDescription())
test_event.event_descriptions[0].text = 'LE'
test_event.origins[0].latitude = 45.0
test_event.origins[0].longitude = 25.0
test_event.origins[0].depth = 15000
test_event.creation_info = CreationInfo(agency_id='TES')
test_event.origins[0].time_errors['Time_Residual_RMS'] = 0.01
test_event.magnitudes.append(Magnitude())
test_event.magnitudes[0].mag = 0.1
test_event.magnitudes[0].magnitude_type = 'ML'
test_event.magnitudes[0].creation_info = CreationInfo('TES')
test_event.magnitudes[0].origin_id = test_event.origins[0].resource_id
test_event.magnitudes.append(Magnitude())
test_event.magnitudes[1].mag = 0.5
test_event.magnitudes[1].magnitude_type = 'Mc'
test_event.magnitudes[1].creation_info = CreationInfo('TES')
test_event.magnitudes[1].origin_id = test_event.origins[0].resource_id
test_event.magnitudes.append(Magnitude())
test_event.magnitudes[2].mag = 1.3
test_event.magnitudes[2].magnitude_type = 'Ms'
test_event.magnitudes[2].creation_info = CreationInfo('TES')
test_event.magnitudes[2].origin_id = test_event.origins[0].resource_id
# Define the test pick
_waveform_id_1 = WaveformStreamID(station_code='FOZ',
channel_code='SHZ',
network_code='NZ')
_waveform_id_2 = WaveformStreamID(station_code='WTSZ',
channel_code='BH1',
network_code=' ')
# Pick to associate with amplitude
test_event.picks.append(
Pick(waveform_id=_waveform_id_1,
phase_hint='IAML',
polarity='undecidable',
time=UTCDateTime("2012-03-26") + 1.68))
# Need a second pick for coda
test_event.picks.append(
Pick(waveform_id=_waveform_id_1,
onset='impulsive',
phase_hint='PN',
polarity='positive',
time=UTCDateTime("2012-03-26") + 1.68))
# Unassociated pick
test_event.picks.append(
Pick(waveform_id=_waveform_id_2,
onset='impulsive',
phase_hint='SG',
polarity='undecidable',
time=UTCDateTime("2012-03-26") + 1.72))
# Unassociated pick
test_event.picks.append(
Pick(waveform_id=_waveform_id_2,
onset='impulsive',
phase_hint='PN',
polarity='undecidable',
time=UTCDateTime("2012-03-26") + 1.62))
# Test a generic local magnitude amplitude pick
test_event.amplitudes.append(
Amplitude(generic_amplitude=2.0,
period=0.4,
pick_id=test_event.picks[0].resource_id,
waveform_id=test_event.picks[0].waveform_id,
unit='m',
magnitude_hint='Ml'))
# Test a coda magnitude pick
test_event.amplitudes.append(
Amplitude(generic_amplitude=10,
pick_id=test_event.picks[1].resource_id,
waveform_id=test_event.picks[1].waveform_id,
type='END',
category='duration',
unit='s',
magnitude_hint='Mc',
snr=2.3))
test_event.origins[0].arrivals.append(
Arrival(time_weight=2,
phase=test_event.picks[2].phase_hint,
pick_id=test_event.picks[2].resource_id,
backazimuth_residual=5,
time_residual=0.2,
distance=15,
azimuth=25))
test_event.origins[0].arrivals.append(
Arrival(time_weight=2,
phase=test_event.picks[3].phase_hint,
pick_id=test_event.picks[3].resource_id,
backazimuth_residual=5,
time_residual=0.2,
distance=15,
azimuth=25))
return test_event
def readpicks(sfile):
"""
Read all pick information from the s-file to an obspy.event.Catalog type.
.. note:: This was changed for version 0.1.0 from using the inbuilt \
PICK class.
:type sfile: str
:param sfile: Path to sfile
:return: obspy.core.event.Event
.. warning:: Currently finalweight is unsupported, nor is velocity, \
or angle of incidence. This is because obspy.event stores slowness \
in s/deg and takeoff angle, which would require computation from the \
values stored in seisan. Multiple weights are also not supported in \
Obspy.event.
.. rubric:: Example
>>> event = readpicks('eqcorrscan/tests/test_data/REA/TEST_/' +
... '01-0411-15L.S201309')
>>> print(event.origins[0].time)
2013-09-01T04:11:15.700000Z
>>> print(event.picks[0].time)
2013-09-01T04:11:17.240000Z
"""
from obspy.core.event import Pick, WaveformStreamID, Arrival, Amplitude
# Get wavefile name for use in resource_ids
wav_names = readwavename(sfile)
# First we need to read the header to get the timing info
new_event = readheader(sfile)
evtime = new_event.origins[0].time
f = open(sfile, 'r')
pickline = []
# Set a default, ignored later unless overwritten
SNR = 999
if 'headerend' in locals():
del headerend
for lineno, line in enumerate(f):
if 'headerend' in locals():
if len(line.rstrip('\n').rstrip('\r')) in [80, 79] and \
(line[79] == ' ' or line[79] == '4' or line[79] == '\n'):
pickline += [line]
elif line[79] == '7':
header = line
headerend = lineno
amplitude_index = 0
for pick_index, line in enumerate(pickline):
if line[18:28].strip() == '': # If line is empty miss it
continue
station = line[1:6].strip()
channel = line[6:8].strip()
network = 'NA' # No network information provided in Sfile.
weight = line[14]
if weight == '_':
phase = line[10:17]
weight = 0
polarity = ''
else:
phase = line[10:14].strip()
polarity = line[16]
if weight == ' ':
weight = 0
if polarity == '':
polarity = "undecidable"
elif polarity == 'C':
polarity = "positive"
elif polarity == 'D':
polarity = 'negative'
else:
polarity = "undecidable"
if int(line[18:20]) == 24:
pickhr = 0
pickday = evtime + 86400
else:
pickhr = int(line[18:20])
pickday = evtime
try:
time = UTCDateTime(pickday.year, pickday.month, pickday.day,
pickhr, int(line[20:22]),
int(line[23:28].split('.')[0]),
int(line[23:28].split('.')[1]) * 10000)
except ValueError:
time = UTCDateTime(evtime.year, evtime.month, evtime.day, pickhr,
int(line[20:22]), 0, 0)
time += 60 # Add 60 seconds on to the time, this copes with s-file
# preference to write seconds in 1-60 rather than 0-59 which
# datetime objects accept
coda = _int_conv(line[28:33])
amplitude = _float_conv(line[33:40])
peri = _float_conv(line[41:45])
azimuth = _float_conv(line[46:51])
velocity = _float_conv(line[52:56])
if header[57:60] == 'AIN':
AIN = _float_conv(line[57:60])
elif header[57:60] == 'SNR':
SNR = _float_conv(line[57:60])
azimuthres = _int_conv(line[60:63])
timeres = _float_conv(line[63:68])
finalweight = _int_conv(line[68:70])
distance = kilometer2degrees(_float_conv(line[70:75]))
CAZ = _int_conv(line[76:79])
# Create a new obspy.event.Pick class for this pick
_waveform_id = WaveformStreamID(station_code=station,
channel_code=channel,
network_code=network)
new_event.picks.append(
Pick(waveform_id=_waveform_id,
phase_hint=phase,
polarity=polarity,
time=time))
if line[9] == 'I':
new_event.picks[pick_index].onset = 'impulsive'
elif line[9] == 'E':
new_event.picks[pick_index].onset = 'emergent'
if line[15] == 'A':
new_event.picks[pick_index].evaluation_mode = 'automatic'
else:
new_event.picks[pick_index].evaluation_mode = 'manual'
# Note these two are not always filled - velocity conversion not yet
# implimented, needs to be converted from km/s to s/deg
# if not velocity == 999.0:
# new_event.picks[pick_index].horizontal_slowness = 1.0 / velocity
if not azimuth == 999:
new_event.picks[pick_index].backazimuth = azimuth
del _waveform_id
# Create new obspy.event.Amplitude class which references above Pick
# only if there is an amplitude picked.
if not amplitude == 999.0:
new_event.amplitudes.append(
Amplitude(generic_amplitude=amplitude,
period=peri,
pick_id=new_event.picks[pick_index].resource_id,
waveform_id=new_event.picks[pick_index].waveform_id))
if new_event.picks[pick_index].phase_hint == 'IAML':
# Amplitude for local magnitude
new_event.amplitudes[amplitude_index].type = 'AML'
# Set to be evaluating a point in the trace
new_event.amplitudes[amplitude_index].category = 'point'
# Default AML unit in seisan is nm (Page 139 of seisan
# documentation, version 10.0)
new_event.amplitudes[amplitude_index].generic_amplitude /=\
10**9
new_event.amplitudes[amplitude_index].unit = 'm'
new_event.amplitudes[amplitude_index].magnitude_hint = 'ML'
else:
# Generic amplitude type
new_event.amplitudes[amplitude_index].type = 'A'
if not SNR == 999.0:
new_event.amplitudes[amplitude_index].snr = SNR
amplitude_index += 1
elif not coda == 999:
# Create an amplitude instance for code duration also
new_event.amplitudes.append(
Amplitude(generic_amplitude=coda,
pick_id=new_event.picks[pick_index].resource_id,
waveform_id=new_event.picks[pick_index].waveform_id))
# Amplitude for coda magnitude
new_event.amplitudes[amplitude_index].type = 'END'
# Set to be evaluating a point in the trace
new_event.amplitudes[amplitude_index].category = 'duration'
new_event.amplitudes[amplitude_index].unit = 's'
new_event.amplitudes[amplitude_index].magnitude_hint = 'Mc'
if SNR and not SNR == 999.0:
new_event.amplitudes[amplitude_index].snr = SNR
amplitude_index += 1
# Create new obspy.event.Arrival class referencing above Pick
new_event.origins[0].arrivals.append(
Arrival(phase=new_event.picks[pick_index].phase_hint,
pick_id=new_event.picks[pick_index].resource_id))
if weight != 999:
new_event.origins[0].arrivals[pick_index].time_weight =\
weight
if azimuthres != 999:
new_event.origins[0].arrivals[pick_index].backazimuth_residual =\
azimuthres
if timeres != 999:
new_event.origins[0].arrivals[pick_index].time_residual =\
timeres
if distance != 999:
new_event.origins[0].arrivals[pick_index].distance =\
distance
if CAZ != 999:
new_event.origins[0].arrivals[pick_index].azimuth =\
CAZ
f.close()
# Write event to catalog object for ease of .write() method
return new_event
def _parse_record_s(self, line, event, p_pick, p_arrival):
"""
Parses the 'secondary phases' record S
Secondary phases are following phases of the reading,
and can be P-type or S-type.
"""
arrivals = []
phase = line[7:15].strip()
arrival_time = line[15:24]
if phase:
arrivals.append((phase, arrival_time))
phase = line[25:33].strip()
arrival_time = line[33:42]
if phase:
arrivals.append((phase, arrival_time))
phase = line[43:51].strip()
arrival_time = line[51:60]
if phase:
arrivals.append((phase, arrival_time))
evid = event.resource_id.id.split('/')[-1]
station_string = \
p_pick.waveform_id.get_seed_string()\
.replace(' ', '-').replace('.', '_').lower()
origin = event.origins[0]
for phase, arrival_time in arrivals:
if phase[0:2] == 'D=':
# unused: depth = self._float(phase[2:7])
try:
depth_usage_flag = phase[7]
except IndexError:
# usage flag is not defined
depth_usage_flag = None
# FIXME: I'm not sure that 'X' actually
# means 'used'
if depth_usage_flag == 'X':
# FIXME: is this enough to say that
# the event is constrained by depth phases?
origin.depth_type = 'constrained by depth phases'
origin.quality.depth_phase_count += 1
else:
pick = Pick()
prefix = '/'.join((res_id_prefix, 'pick',
evid, station_string))
pick.resource_id = ResourceIdentifier(prefix=prefix)
date = origin.time.strftime('%Y%m%d')
pick.time = UTCDateTime(date + arrival_time)
# Check if pick is on the next day:
if pick.time < origin.time:
pick.time += timedelta(days=1)
pick.waveform_id = p_pick.waveform_id
pick.backazimuth = p_pick.backazimuth
onset = phase[0]
if onset == 'e':
pick.onset = 'emergent'
phase = phase[1:]
elif onset == 'i':
pick.onset = 'impulsive'
phase = phase[1:]
elif onset == 'q':
pick.onset = 'questionable'
phase = phase[1:]
pick.phase_hint = phase.strip()
event.picks.append(pick)
arrival = Arrival()
prefix = '/'.join((res_id_prefix, 'arrival',
evid, station_string))
arrival.resource_id = ResourceIdentifier(prefix=prefix)
arrival.pick_id = pick.resource_id
arrival.phase = pick.phase_hint
arrival.azimuth = p_arrival.azimuth
arrival.distance = p_arrival.distance
origin.quality.associated_phase_count += 1
origin.arrivals.append(arrival)
def _parse_record_p(self, line, event):
"""
Parses the 'primary phase record' P
The primary phase is the first phase of the reading,
regardless its type.
"""
station = line[2:7].strip()
phase = line[7:15]
arrival_time = line[15:24]
residual = self._float(line[25:30])
# unused: residual_flag = line[30]
distance = self._float(line[32:38]) # degrees
azimuth = self._float(line[39:44])
backazimuth = round(azimuth % -360 + 180, 1)
mb_period = self._float(line[44:48])
mb_amplitude = self._float(line[48:55]) # nanometers
mb_magnitude = self._float(line[56:59])
# unused: mb_usage_flag = line[59]
origin = event.origins[0]
evid = event.resource_id.id.split('/')[-1]
waveform_id = WaveformStreamID()
waveform_id.station_code = station
# network_code is required for QuakeML validation
waveform_id.network_code = ' '
station_string = \
waveform_id.get_seed_string()\
.replace(' ', '-').replace('.', '_').lower()
prefix = '/'.join((res_id_prefix, 'waveformstream',
evid, station_string))
waveform_id.resource_uri = ResourceIdentifier(prefix=prefix)
pick = Pick()
prefix = '/'.join((res_id_prefix, 'pick', evid, station_string))
pick.resource_id = ResourceIdentifier(prefix=prefix)
date = origin.time.strftime('%Y%m%d')
pick.time = UTCDateTime(date + arrival_time)
# Check if pick is on the next day:
if pick.time < origin.time:
pick.time += timedelta(days=1)
pick.waveform_id = waveform_id
pick.backazimuth = backazimuth
onset = phase[0]
if onset == 'e':
pick.onset = 'emergent'
phase = phase[1:]
elif onset == 'i':
pick.onset = 'impulsive'
phase = phase[1:]
elif onset == 'q':
pick.onset = 'questionable'
phase = phase[1:]
pick.phase_hint = phase.strip()
event.picks.append(pick)
if mb_amplitude is not None:
amplitude = Amplitude()
prefix = '/'.join((res_id_prefix, 'amp', evid, station_string))
amplitude.resource_id = ResourceIdentifier(prefix=prefix)
amplitude.generic_amplitude = mb_amplitude * 1E-9
amplitude.unit = 'm'
amplitude.period = mb_period
amplitude.type = 'AB'
amplitude.magnitude_hint = 'Mb'
amplitude.pick_id = pick.resource_id
amplitude.waveform_id = pick.waveform_id
event.amplitudes.append(amplitude)
station_magnitude = StationMagnitude()
prefix = '/'.join((res_id_prefix, 'stationmagntiude',
evid, station_string))
station_magnitude.resource_id = ResourceIdentifier(prefix=prefix)
station_magnitude.origin_id = origin.resource_id
station_magnitude.mag = mb_magnitude
# station_magnitude.mag_errors['uncertainty'] = 0.0
station_magnitude.station_magnitude_type = 'Mb'
station_magnitude.amplitude_id = amplitude.resource_id
station_magnitude.waveform_id = pick.waveform_id
res_id = '/'.join(
(res_id_prefix, 'magnitude/generic/body_wave_magnitude'))
station_magnitude.method_id = \
ResourceIdentifier(id=res_id)
event.station_magnitudes.append(station_magnitude)
arrival = Arrival()
prefix = '/'.join((res_id_prefix, 'arrival', evid, station_string))
arrival.resource_id = ResourceIdentifier(prefix=prefix)
arrival.pick_id = pick.resource_id
arrival.phase = pick.phase_hint
arrival.azimuth = azimuth
arrival.distance = distance
arrival.time_residual = residual
res_id = '/'.join((res_id_prefix, 'earthmodel/ak135'))
arrival.earth_model_id = ResourceIdentifier(id=res_id)
origin.arrivals.append(arrival)
origin.quality.minimum_distance = min(
d for d in (arrival.distance, origin.quality.minimum_distance)
if d is not None)
origin.quality.maximum_distance = \
max(arrival.distance, origin.quality.minimum_distance)
origin.quality.associated_phase_count += 1
return pick, arrival
def outputOBSPY(hp, event=None, only_fm_picks=False):
"""
Make an Event which includes the current focal mechanism information from HASH
Use the 'only_fm_picks' flag to only include the picks HASH used for the FocalMechanism.
This flag will replace the 'picks' and 'arrivals' lists of existing events with new ones.
Inputs
-------
hp : hashpy.HashPype instance
event : obspy.core.event.Event
only_fm_picks : bool of whether to overwrite the picks/arrivals lists
Returns
-------
obspy.core.event.Event
Event will be new if no event was input, FocalMech added to existing event
"""
# Returns new (or updates existing) Event with HASH solution
n = hp.npol
if event is None:
event = Event(focal_mechanisms=[], picks=[], origins=[])
origin = Origin(arrivals=[])
origin.time = UTCDateTime(hp.tstamp)
origin.latitude = hp.qlat
origin.longitude = hp.qlon
origin.depth = hp.qdep
origin.creation_info = CreationInfo(version=hp.icusp)
origin.resource_id = ResourceIdentifier('smi:hash/Origin/{0}'.format(hp.icusp))
for _i in range(n):
p = Pick()
p.creation_info = CreationInfo(version=hp.arid[_i])
p.resource_id = ResourceIdentifier('smi:hash/Pick/{0}'.format(p.creation_info.version))
p.waveform_id = WaveformStreamID(network_code=hp.snet[_i], station_code=hp.sname[_i], channel_code=hp.scomp[_i])
if hp.p_pol[_i] > 0:
p.polarity = 'positive'
else:
p.polarity = 'negative'
a = Arrival()
a.creation_info = CreationInfo(version=hp.arid[_i])
a.resource_id = ResourceIdentifier('smi:hash/Arrival/{0}'.format(p.creation_info.version))
a.azimuth = hp.p_azi_mc[_i,0]
a.takeoff_angle = 180. - hp.p_the_mc[_i,0]
a.pick_id = p.resource_id
origin.arrivals.append(a)
event.picks.append(p)
event.origins.append(origin)
event.preferred_origin_id = str(origin.resource_id)
else: # just update the changes
origin = event.preferred_origin()
picks = []
arrivals = []
for _i in range(n):
ind = hp.p_index[_i]
a = origin.arrivals[ind]
p = a.pick_id.getReferredObject()
a.takeoff_angle = hp.p_the_mc[_i,0]
picks.append(p)
arrivals.append(a)
if only_fm_picks:
origin.arrivals = arrivals
event.picks = picks
# Use me double couple calculator and populate planes/axes etc
x = hp._best_quality_index
# Put all the mechanisms into the 'focal_mechanisms' list, mark "best" as preferred
for s in range(hp.nmult):
dc = DoubleCouple([hp.str_avg[s], hp.dip_avg[s], hp.rak_avg[s]])
ax = dc.axis
focal_mech = FocalMechanism()
focal_mech.creation_info = CreationInfo(creation_time=UTCDateTime(), author=hp.author)
focal_mech.triggering_origin_id = origin.resource_id
focal_mech.resource_id = ResourceIdentifier('smi:hash/FocalMechanism/{0}/{1}'.format(hp.icusp, s+1))
focal_mech.method_id = ResourceIdentifier('HASH')
focal_mech.nodal_planes = NodalPlanes()
focal_mech.nodal_planes.nodal_plane_1 = NodalPlane(*dc.plane1)
focal_mech.nodal_planes.nodal_plane_2 = NodalPlane(*dc.plane2)
focal_mech.principal_axes = PrincipalAxes()
focal_mech.principal_axes.t_axis = Axis(azimuth=ax['T']['azimuth'], plunge=ax['T']['dip'])
focal_mech.principal_axes.p_axis = Axis(azimuth=ax['P']['azimuth'], plunge=ax['P']['dip'])
focal_mech.station_polarity_count = n
focal_mech.azimuthal_gap = hp.magap
focal_mech.misfit = hp.mfrac[s]
focal_mech.station_distribution_ratio = hp.stdr[s]
focal_mech.comments.append(
Comment(hp.qual[s], resource_id=ResourceIdentifier(str(focal_mech.resource_id) + '/comment/quality'))
)
#----------------------------------------
event.focal_mechanisms.append(focal_mech)
if s == x:
event.preferred_focal_mechanism_id = str(focal_mech.resource_id)
return event
def _map_join2phase(self, db):
"""
Return an obspy Arrival and Pick from an dict of CSS key/values
corresponding to one record. See the 'Join' section for the implied
database table join expected.
Inputs
======
db : dict of key/values of CSS fields related to the phases (see Join)
Returns
=======
obspy.core.event.Pick, obspy.core.event.Arrival
Notes
=====
Any object that supports the dict 'get' method can be passed as
input, e.g. OrderedDict, custom classes, etc.
Join
----
assoc <- arrival <- affiliation (outer) <- schanloc [sta chan] (outer)
"""
p = Pick()
p.time = _utc(db.get('time'))
def_net = self.agency[:2].upper()
css_sta = db.get('sta')
css_chan = db.get('chan')
p.waveform_id = WaveformStreamID(
station_code = db.get('fsta') or css_sta,
channel_code = db.get('fchan') or css_chan,
network_code = db.get('snet') or def_net,
location_code = db.get('loc'),
)
p.horizontal_slowness = db.get('slow')
#p.horizontal_slowness_errors = self._create_dict(db, 'delslo')
p.backazimuth = db.get('azimuth')
#p.backazimuth_errors = self._create_dict(db, 'delaz')
on_qual = _str(db.get('qual')).lower()
if 'i' in on_qual:
p.onset = "impulsive"
elif 'e' in on_qual:
p.onset = "emergent"
elif 'w' in on_qual:
p.onset = "questionable"
else:
p.onset = None
p.phase_hint = db.get('iphase')
pol = _str(db.get('fm')).lower()
if 'c' in pol or 'u' in pol:
p.polarity = "positive"
elif 'd' in pol or 'r' in pol:
p.polarity = "negative"
elif '.' in pol:
p.polarity = "undecidable"
else:
p.polarity = None
p.evaluation_mode = "automatic"
if 'orbassoc' not in _str(db.get('auth')):
p.evaluation_mode = "manual"
p.evaluation_status = "preliminary"
if p.evaluation_mode is "manual":
p.evaluation_status = "reviewed"
p.creation_info = CreationInfo(
version = db.get('arid'),
creation_time = _utc(db.get('arrival.lddate')),
agency_id = self.agency,
author = db.get('auth'),
)
p.resource_id = self._rid(p)
a = Arrival()
a.pick_id = ResourceIdentifier(str(p.resource_id), referred_object=p)
a.phase = db.get('phase')
a.azimuth = db.get('esaz')
a.distance = db.get('delta')
a.takeoff_angle = db.get('ema')
#a.takeoff_angle_errors = self._create_dict(db, 'emares')
a.time_residual = db.get('timeres')
a.horizontal_slowness_residual = db.get('slores')
a.time_weight = db.get('wgt')
a.earth_model_id = ResourceIdentifier(self._prefix+'/VelocityModel/'+_str(db.get('vmodel')))
a.creation_info = CreationInfo(
version = db.get('arid'),
creation_time = _utc(db.get('lddate')),
agency_id = self.agency,
)
a.extra = {}
a.extra['timedef'] = {
'value': _str(db.get('timedef')),
'namespace': CSS_NAMESPACE
}
a.resource_id = self._rid(a)
return p, a
def setEventData(eventParser, arrivals, count):
global originCount
global eventCount
global pickCount
creation_info = CreationInfo(
author='niket_engdahl_parser',
creation_time=UTCDateTime(),
agency_uri=ResourceIdentifier(id='smi:engdahl.ga.gov.au/ga-engdahl'),
agency_id='ga-engdahl')
# magnitudeSurface = Magnitude(resource_id=ResourceIdentifier(id='smi:engdahl.ga.gov.au/origin/'+str(originCount)+'#netMag.Ms'),
# mag=eventParser.ms,
# magnitude_type='Ms',
# origin_id=ResourceIdentifier(id='smi:engdahl.ga.gov.au/origin/'+str(originCount)),
# azimuthal_gap=eventParser.openaz2,
# creation_info=creation_info)
origin = Origin(
resource_id=ResourceIdentifier(id='smi:engdahl.ga.gov.au/origin/' +
str(originCount)),
time=UTCDateTime(int(str(2000 + int(eventParser.iyr))),
int(eventParser.mon), int(eventParser.iday),
int(eventParser.ihr), int(eventParser.min),
int(eventParser.sec.split('.')[0]),
int(eventParser.sec.split('.')[1] + '0')),
longitude=eventParser.glon,
latitude=eventParser.glat,
depth=float(eventParser.depth) *
1000, # engdahl files report kms, obspy expects m
depth_errors=eventParser.sedep,
method_id=ResourceIdentifier(id='EHB'),
earth_model_id=ResourceIdentifier(id='ak135'),
quality=OriginQuality(associated_phase_count=len(arrivals),
used_phase_count=len(arrivals),
standard_error=eventParser.se,
azimuthal_gap=eventParser.openaz2),
evaluation_mode='automatic',
creation_info=creation_info)
magnitude = Magnitude(
resource_id=ResourceIdentifier(id='smi:engdahl.ga.gov.au/origin/' +
str(originCount) + '#netMag.Mb'),
mag=eventParser.mb,
magnitude_type='Mb',
origin_id=ResourceIdentifier(id='smi:engdahl.ga.gov.au/origin/' +
str(originCount)),
azimuthal_gap=eventParser.openaz1,
creation_info=creation_info)
originCount += 1
pickList = []
arrivalList = []
pPhaseArrival = None
for arrParser in arrivals:
pickOnset = None
pol = None
if arrParser.year and arrParser.month and arrParser.day and arrParser.station:
pPhaseArrival = arrParser
else:
arrParser.year = pPhaseArrival.year
arrParser.day = pPhaseArrival.day
arrParser.month = pPhaseArrival.month
arrParser.station = pPhaseArrival.station
arrParser.delta = pPhaseArrival.delta
arrParser.dtdd = pPhaseArrival.dtdd
arrParser.backaz = pPhaseArrival.backaz
arrParser.focalDip = pPhaseArrival.focalDip
arrParser.angleAzimuth = pPhaseArrival.angleAzimuth
if arrParser.phase1 == 'LR' or arrParser.phase2 == 'LR' or arrParser.hour == '24':
continue
if arrParser.phase1.startswith('i'):
pickOnset = PickOnset.impulsive
if arrParser.fm == '+':
pol = PickPolarity.positive
elif arrParser.fm == '-':
pol = PickPolarity.negative
elif arrParser.phase1.startswith('e'):
pickOnset = PickOnset.emergent
pick = Pick(
resource_id=ResourceIdentifier(id='smi:engdahl.ga.gov.au/pick/' +
str(pickCount)),
time=UTCDateTime(int(str(2000 + int(arrParser.year))),
int(arrParser.month), int(arrParser.day),
int(arrParser.hour), int(arrParser.minute),
int(arrParser.second.split('.')[0]),
int(arrParser.second.split('.')[1] + '0')),
waveform_id=WaveformStreamID(network_code='',
station_code=arrParser.station,
channel_code='BHZ'),
methodID=ResourceIdentifier('STA/LTA'),
backazimuth=arrParser.backaz if arrParser.backaz else None,
onset=pickOnset,
phase_hint=arrParser.phase,
polarity=pol,
evaluation_mode='automatic',
# TO-DO
comment='populate all the remaining fields here as key value',
creation_info=creation_info)
if not arrParser.backaz:
print "arrParser.backaz is empty. printing the arrParser for debugging"
pickCount += 1
pickList.append(pick)
arrival = Arrival(
pick_id=ResourceIdentifier(id='smi:engdahl.ga.gov.au/pick/' +
str(pickCount - 1)),
phase=arrParser.phase if arrParser.phase else None,
azimuth=arrParser.backaz if arrParser.backaz else None,
distance=arrParser.delta if arrParser.delta else None,
# if the * has some significance, it should be accounted for. ignoring for now.
time_residual=arrParser.residual.rstrip('*'),
time_weight=arrParser.wgt if arrParser.wgt else None,
backazimuth_weight=arrParser.wgt if arrParser.wgt else None)
arrivalList.append(arrival)
if not arrParser.wgt:
print "arrParser.wgt is empty. printing the arrParser for debugging"
# pprint.pprint(arrParser)
origin.arrivals = arrivalList
event = Event(resource_id=ResourceIdentifier(
id='smi:engdahl.ga.gov.au/event/' + str(eventCount)),
creation_info=creation_info,
event_type='earthquake')
eventCount += 1
event.picks = pickList
event.origins = [
origin,
]
event.magnitudes = [
magnitude,
]
event.preferred_origin_id = origin.resource_id
event.preferred_magnitude_id = magnitude.resource_id
return event
def read_nlloc_hyp(filename, coordinate_converter=None, picks=None, **kwargs):
"""
Reads a NonLinLoc Hypocenter-Phase file to a
:class:`~obspy.core.event.Catalog` object.
.. note::
Coordinate conversion from coordinate frame of NonLinLoc model files /
location run to WGS84 has to be specified explicitly by the user if
necessary.
.. note::
An example can be found on the :mod:`~obspy.nlloc` submodule front
page in the documentation pages.
:param filename: File or file-like object in text mode.
:type coordinate_converter: func
:param coordinate_converter: Function to convert (x, y, z)
coordinates of NonLinLoc output to geographical coordinates and depth
in meters (longitude, latitude, depth in kilometers).
If left `None` NonLinLoc (x, y, z) output is left unchanged (e.g. if
it is in geographical coordinates already like for NonLinLoc in
global mode).
The function should accept three arguments x, y, z and return a
tuple of three values (lon, lat, depth in kilometers).
:type picks: list of :class:`~obspy.core.event.Pick`
:param picks: Original picks used to generate the NonLinLoc location.
If provided, the output event will include the original picks and the
arrivals in the output origin will link to them correctly (with their
`pick_id` attribute). If not provided, the output event will include
(the rather basic) pick information that can be reconstructed from the
NonLinLoc hypocenter-phase file.
:rtype: :class:`~obspy.core.event.Catalog`
"""
if not hasattr(filename, "read"):
# Check if it exists, otherwise assume its a string.
try:
with open(filename, "rt") as fh:
data = fh.read()
except:
try:
data = filename.decode()
except:
data = str(filename)
data = data.strip()
else:
data = filename.read()
if hasattr(data, "decode"):
data = data.decode()
lines = data.splitlines()
# remember picks originally used in location, if provided
original_picks = picks
if original_picks is None:
original_picks = []
# determine indices of block start/end of the NLLOC output file
indices_hyp = [None, None]
indices_phases = [None, None]
for i, line in enumerate(lines):
if line.startswith("NLLOC "):
indices_hyp[0] = i
elif line.startswith("END_NLLOC"):
indices_hyp[1] = i
elif line.startswith("PHASE "):
indices_phases[0] = i
elif line.startswith("END_PHASE"):
indices_phases[1] = i
if any([i is None for i in indices_hyp]):
msg = ("NLLOC HYP file seems corrupt,"
" could not detect 'NLLOC' and 'END_NLLOC' lines.")
raise RuntimeError(msg)
# strip any other lines around NLLOC block
lines = lines[indices_hyp[0]:indices_hyp[1]]
# extract PHASES lines (if any)
if any(indices_phases):
if not all(indices_phases):
msg = ("NLLOC HYP file seems corrupt, 'PHASE' block is corrupt.")
raise RuntimeError(msg)
i1, i2 = indices_phases
lines, phases_lines = lines[:i1] + lines[i2 + 1:], lines[i1 + 1:i2]
else:
phases_lines = []
lines = dict([line.split(None, 1) for line in lines])
line = lines["SIGNATURE"]
line = line.rstrip().split('"')[1]
signature, version, date, time = line.rsplit(" ", 3)
creation_time = UTCDateTime().strptime(date + time, str("%d%b%Y%Hh%Mm%S"))
# maximum likelihood origin location info line
line = lines["HYPOCENTER"]
x, y, z = map(float, line.split()[1:7:2])
if coordinate_converter:
x, y, z = coordinate_converter(x, y, z)
# origin time info line
line = lines["GEOGRAPHIC"]
year, month, day, hour, minute = map(int, line.split()[1:6])
seconds = float(line.split()[6])
time = UTCDateTime(year, month, day, hour, minute, seconds)
# distribution statistics line
line = lines["STATISTICS"]
covariance_XX = float(line.split()[7])
covariance_YY = float(line.split()[13])
covariance_ZZ = float(line.split()[17])
stats_info_string = str(
"Note: Depth/Latitude/Longitude errors are calculated from covariance "
"matrix as 1D marginal (Lon/Lat errors as great circle degrees) "
"while OriginUncertainty min/max horizontal errors are calculated "
"from 2D error ellipsoid and are therefore seemingly higher compared "
"to 1D errors. Error estimates can be reconstructed from the "
"following original NonLinLoc error statistics line:\nSTATISTICS " +
lines["STATISTICS"])
# goto location quality info line
line = lines["QML_OriginQuality"].split()
(assoc_phase_count, used_phase_count, assoc_station_count,
used_station_count, depth_phase_count) = map(int, line[1:11:2])
stderr, az_gap, sec_az_gap = map(float, line[11:17:2])
gt_level = line[17]
min_dist, max_dist, med_dist = map(float, line[19:25:2])
# goto location quality info line
line = lines["QML_OriginUncertainty"]
hor_unc, min_hor_unc, max_hor_unc, hor_unc_azim = \
map(float, line.split()[1:9:2])
# assign origin info
event = Event()
cat = Catalog(events=[event])
o = Origin()
event.origins = [o]
o.origin_uncertainty = OriginUncertainty()
o.quality = OriginQuality()
ou = o.origin_uncertainty
oq = o.quality
o.comments.append(Comment(text=stats_info_string))
cat.creation_info.creation_time = UTCDateTime()
cat.creation_info.version = "ObsPy %s" % __version__
event.creation_info = CreationInfo(creation_time=creation_time,
version=version)
event.creation_info.version = version
o.creation_info = CreationInfo(creation_time=creation_time,
version=version)
# negative values can appear on diagonal of covariance matrix due to a
# precision problem in NLLoc implementation when location coordinates are
# large compared to the covariances.
o.longitude = x
try:
o.longitude_errors.uncertainty = kilometer2degrees(sqrt(covariance_XX))
except ValueError:
if covariance_XX < 0:
msg = ("Negative value in XX value of covariance matrix, not "
"setting longitude error (epicentral uncertainties will "
"still be set in origin uncertainty).")
warnings.warn(msg)
else:
raise
o.latitude = y
try:
o.latitude_errors.uncertainty = kilometer2degrees(sqrt(covariance_YY))
except ValueError:
if covariance_YY < 0:
msg = ("Negative value in YY value of covariance matrix, not "
"setting longitude error (epicentral uncertainties will "
"still be set in origin uncertainty).")
warnings.warn(msg)
else:
raise
o.depth = z * 1e3 # meters!
o.depth_errors.uncertainty = sqrt(covariance_ZZ) * 1e3 # meters!
o.depth_errors.confidence_level = 68
o.depth_type = str("from location")
o.time = time
ou.horizontal_uncertainty = hor_unc
ou.min_horizontal_uncertainty = min_hor_unc
ou.max_horizontal_uncertainty = max_hor_unc
# values of -1 seem to be used for unset values, set to None
for field in ("horizontal_uncertainty", "min_horizontal_uncertainty",
"max_horizontal_uncertainty"):
if ou.get(field, -1) == -1:
ou[field] = None
else:
ou[field] *= 1e3 # meters!
ou.azimuth_max_horizontal_uncertainty = hor_unc_azim
ou.preferred_description = str("uncertainty ellipse")
ou.confidence_level = 68 # NonLinLoc in general uses 1-sigma (68%) level
oq.standard_error = stderr
oq.azimuthal_gap = az_gap
oq.secondary_azimuthal_gap = sec_az_gap
oq.used_phase_count = used_phase_count
oq.used_station_count = used_station_count
oq.associated_phase_count = assoc_phase_count
oq.associated_station_count = assoc_station_count
oq.depth_phase_count = depth_phase_count
oq.ground_truth_level = gt_level
oq.minimum_distance = kilometer2degrees(min_dist)
oq.maximum_distance = kilometer2degrees(max_dist)
oq.median_distance = kilometer2degrees(med_dist)
# go through all phase info lines
for line in phases_lines:
line = line.split()
arrival = Arrival()
o.arrivals.append(arrival)
station = str(line[0])
phase = str(line[4])
arrival.phase = phase
arrival.distance = kilometer2degrees(float(line[21]))
arrival.azimuth = float(line[23])
arrival.takeoff_angle = float(line[24])
arrival.time_residual = float(line[16])
arrival.time_weight = float(line[17])
pick = Pick()
wid = WaveformStreamID(station_code=station)
date, hourmin, sec = map(str, line[6:9])
t = UTCDateTime().strptime(date + hourmin, "%Y%m%d%H%M") + float(sec)
pick.waveform_id = wid
pick.time = t
pick.time_errors.uncertainty = float(line[10])
pick.phase_hint = phase
pick.onset = ONSETS.get(line[3].lower(), None)
pick.polarity = POLARITIES.get(line[5].lower(), None)
# try to determine original pick for each arrival
for pick_ in original_picks:
wid = pick_.waveform_id
if station == wid.station_code and phase == pick_.phase_hint:
pick = pick_
break
else:
# warn if original picks were specified and we could not associate
# the arrival correctly
if original_picks:
msg = ("Could not determine corresponding original pick for "
"arrival. "
"Falling back to pick information in NonLinLoc "
"hypocenter-phase file.")
warnings.warn(msg)
event.picks.append(pick)
arrival.pick_id = pick.resource_id
return cat
def __toArrival(parser, pick_el, evaluation_mode, pick):
"""
"""
global CURRENT_TYPE
arrival = Arrival()
arrival.resource_id = ResourceIdentifier(
prefix="/".join([RESOURCE_ROOT, "arrival"]))
arrival.pick_id = pick.resource_id
arrival.phase = parser.xpath2obj('phaseHint', pick_el)
arrival.azimuth = parser.xpath2obj('azimuth/value', pick_el, float)
arrival.distance = parser.xpath2obj('epi_dist/value', pick_el, float)
if arrival.distance is not None:
arrival.distance = kilometer2degrees(arrival.distance)
takeoff_angle, _ = __toFloatQuantity(parser, pick_el, "incident/value")
if takeoff_angle and not math.isnan(takeoff_angle):
arrival.takeoff_angle = takeoff_angle
arrival.time_residual = parser.xpath2obj('phase_res/value', pick_el, float)
arrival.time_weight = parser.xpath2obj('phase_weight/value', pick_el,
float)
return arrival
def full_test_event():
"""
Function to generate a basic, full test event
"""
test_event = Event()
test_event.origins.append(Origin())
test_event.origins[0].time = UTCDateTime("2012-03-26") + 1.2
test_event.event_descriptions.append(EventDescription())
test_event.event_descriptions[0].text = 'LE'
test_event.origins[0].latitude = 45.0
test_event.origins[0].longitude = 25.0
test_event.origins[0].depth = 15000
test_event.creation_info = CreationInfo(agency_id='TES')
test_event.origins[0].quality = OriginQuality(standard_error=0.01)
test_event.magnitudes.append(Magnitude())
test_event.magnitudes[0].mag = 0.1
test_event.magnitudes[0].magnitude_type = 'ML'
test_event.magnitudes[0].creation_info = CreationInfo('TES')
test_event.magnitudes[0].origin_id = test_event.origins[0].resource_id
test_event.magnitudes.append(Magnitude())
test_event.magnitudes[1].mag = 0.5
test_event.magnitudes[1].magnitude_type = 'Mc'
test_event.magnitudes[1].creation_info = CreationInfo('TES')
test_event.magnitudes[1].origin_id = test_event.origins[0].resource_id
test_event.magnitudes.append(Magnitude())
test_event.magnitudes[2].mag = 1.3
test_event.magnitudes[2].magnitude_type = 'Ms'
test_event.magnitudes[2].creation_info = CreationInfo('TES')
test_event.magnitudes[2].origin_id = test_event.origins[0].resource_id
# Define the test pick
_waveform_id_1 = WaveformStreamID(station_code='FOZ', channel_code='SHZ',
network_code='NZ')
_waveform_id_2 = WaveformStreamID(station_code='WTSZ', channel_code='BH1',
network_code=' ')
# Pick to associate with amplitude - 0
test_event.picks = [
Pick(waveform_id=_waveform_id_1, phase_hint='IAML',
polarity='undecidable', time=UTCDateTime("2012-03-26") + 1.68,
evaluation_mode="manual"),
Pick(waveform_id=_waveform_id_1, onset='impulsive', phase_hint='PN',
polarity='positive', time=UTCDateTime("2012-03-26") + 1.68,
evaluation_mode="manual"),
Pick(waveform_id=_waveform_id_1, phase_hint='IAML',
polarity='undecidable', time=UTCDateTime("2012-03-26") + 1.68,
evaluation_mode="manual"),
Pick(waveform_id=_waveform_id_2, onset='impulsive', phase_hint='SG',
polarity='undecidable', time=UTCDateTime("2012-03-26") + 1.72,
evaluation_mode="manual"),
Pick(waveform_id=_waveform_id_2, onset='impulsive', phase_hint='PN',
polarity='undecidable', time=UTCDateTime("2012-03-26") + 1.62,
evaluation_mode="automatic")]
# Test a generic local magnitude amplitude pick
test_event.amplitudes = [
Amplitude(generic_amplitude=2.0, period=0.4,
pick_id=test_event.picks[0].resource_id,
waveform_id=test_event.picks[0].waveform_id, unit='m',
magnitude_hint='ML', category='point', type='AML'),
Amplitude(generic_amplitude=10,
pick_id=test_event.picks[1].resource_id,
waveform_id=test_event.picks[1].waveform_id, type='END',
category='duration', unit='s', magnitude_hint='Mc',
snr=2.3),
Amplitude(generic_amplitude=5.0, period=0.6,
pick_id=test_event.picks[2].resource_id,
waveform_id=test_event.picks[0].waveform_id, unit='m',
category='point', type='AML')]
test_event.origins[0].arrivals = [
Arrival(time_weight=0, phase=test_event.picks[1].phase_hint,
pick_id=test_event.picks[1].resource_id),
Arrival(time_weight=2, phase=test_event.picks[3].phase_hint,
pick_id=test_event.picks[3].resource_id,
backazimuth_residual=5, time_residual=0.2, distance=15,
azimuth=25),
Arrival(time_weight=2, phase=test_event.picks[4].phase_hint,
pick_id=test_event.picks[4].resource_id,
backazimuth_residual=5, time_residual=0.2, distance=15,
azimuth=25)]
return test_event
weight=float(line[14:18])
_phase_hint=line[19:21].strip()
abs_time=time_origin+tt
_waveform_id = WaveformStreamID(station_code=_station_code)
### Put into Pick object
pick=Pick(waveform_id=_waveform_id, phase_hint=_phase_hint,
time=abs_time, method_id=_method_id, evaluation_mode=_evaluation_mode)
### Rename pick ID
_pick_id=pick.time.isoformat()+'-'+str(pick.method_id)+'-'+pick.phase_hint+'-'+\
pick.waveform_id.get_seed_string()
pick.resource_id=_pick_id
### Put into Arrival object
arrival=Arrival(pick_id=pick.resource_id, phase=pick.phase_hint)
arrival.time_weight=weight
### Append to event
new_event.picks.append(pick)
# return new_event
def _parseRecordP(self, line, event):
"""
Parses the 'primary phase record' P
The primary phase is the first phase of the reading,
regardless its type.
"""
station = line[2:7].strip()
phase = line[7:15]
arrival_time = line[15:24]
residual = self._float(line[25:30])
#unused: residual_flag = line[30]
distance = self._float(line[32:38]) # degrees
azimuth = self._float(line[39:44])
backazimuth = round(azimuth % -360 + 180, 1)
mb_period = self._float(line[44:48])
mb_amplitude = self._float(line[48:55]) # nanometers
mb_magnitude = self._float(line[56:59])
#unused: mb_usage_flag = line[59]
origin = event.origins[0]
evid = event.resource_id.id.split('/')[-1]
waveform_id = WaveformStreamID()
waveform_id.station_code = station
#network_code is required for QuakeML validation
waveform_id.network_code = ' '
station_string =\
waveform_id.getSEEDString()\
.replace(' ', '-').replace('.', '_').lower()
prefix = '/'.join(
(res_id_prefix, 'waveformstream', evid, station_string))
waveform_id.resource_uri = ResourceIdentifier(prefix=prefix)
pick = Pick()
prefix = '/'.join((res_id_prefix, 'pick', evid, station_string))
pick.resource_id = ResourceIdentifier(prefix=prefix)
date = origin.time.strftime('%Y%m%d')
pick.time = UTCDateTime(date + arrival_time)
#Check if pick is on the next day:
if pick.time < origin.time:
pick.time += timedelta(days=1)
pick.waveform_id = waveform_id
pick.backazimuth = backazimuth
onset = phase[0]
if onset == 'e':
pick.onset = 'emergent'
phase = phase[1:]
elif onset == 'i':
pick.onset = 'impulsive'
phase = phase[1:]
elif onset == 'q':
pick.onset = 'questionable'
phase = phase[1:]
pick.phase_hint = phase.strip()
event.picks.append(pick)
if mb_amplitude is not None:
amplitude = Amplitude()
prefix = '/'.join((res_id_prefix, 'amp', evid, station_string))
amplitude.resource_id = ResourceIdentifier(prefix=prefix)
amplitude.generic_amplitude = mb_amplitude * 1E-9
amplitude.unit = 'm'
amplitude.period = mb_period
amplitude.type = 'AB'
amplitude.magnitude_hint = 'Mb'
amplitude.pick_id = pick.resource_id
amplitude.waveform_id = pick.waveform_id
event.amplitudes.append(amplitude)
station_magnitude = StationMagnitude()
prefix = '/'.join(
(res_id_prefix, 'stationmagntiude', evid, station_string))
station_magnitude.resource_id = ResourceIdentifier(prefix=prefix)
station_magnitude.origin_id = origin.resource_id
station_magnitude.mag = mb_magnitude
#station_magnitude.mag_errors['uncertainty'] = 0.0
station_magnitude.station_magnitude_type = 'Mb'
station_magnitude.amplitude_id = amplitude.resource_id
station_magnitude.waveform_id = pick.waveform_id
res_id = '/'.join(
(res_id_prefix, 'magnitude/generic/body_wave_magnitude'))
station_magnitude.method_id =\
ResourceIdentifier(id=res_id)
event.station_magnitudes.append(station_magnitude)
arrival = Arrival()
prefix = '/'.join((res_id_prefix, 'arrival', evid, station_string))
arrival.resource_id = ResourceIdentifier(prefix=prefix)
arrival.pick_id = pick.resource_id
arrival.phase = pick.phase_hint
arrival.azimuth = azimuth
arrival.distance = distance
arrival.time_residual = residual
res_id = '/'.join((res_id_prefix, 'earthmodel/ak135'))
arrival.earth_model_id = ResourceIdentifier(id=res_id)
origin.arrivals.append(arrival)
origin.quality.minimum_distance = min(
d for d in (arrival.distance, origin.quality.minimum_distance)
if d is not None)
origin.quality.maximum_distance =\
max(arrival.distance, origin.quality.minimum_distance)
origin.quality.associated_phase_count += 1
return pick, arrival
def _read_single_hypocenter(lines, coordinate_converter, original_picks):
"""
Given a list of lines (starting with a 'NLLOC' line and ending with a
'END_NLLOC' line), parse them into an Event.
"""
try:
# some paranoid checks..
assert lines[0].startswith("NLLOC ")
assert lines[-1].startswith("END_NLLOC")
for line in lines[1:-1]:
assert not line.startswith("NLLOC ")
assert not line.startswith("END_NLLOC")
except Exception:
msg = ("This should not have happened, please report this as a bug at "
"https://github.com/obspy/obspy/issues.")
raise Exception(msg)
indices_phases = [None, None]
for i, line in enumerate(lines):
if line.startswith("PHASE "):
indices_phases[0] = i
elif line.startswith("END_PHASE"):
indices_phases[1] = i
# extract PHASES lines (if any)
if any(indices_phases):
if not all(indices_phases):
msg = ("NLLOC HYP file seems corrupt, 'PHASE' block is corrupt.")
raise RuntimeError(msg)
i1, i2 = indices_phases
lines, phases_lines = lines[:i1] + lines[i2 + 1:], lines[i1 + 1:i2]
else:
phases_lines = []
lines = dict([line.split(None, 1) for line in lines[:-1]])
line = lines["SIGNATURE"]
line = line.rstrip().split('"')[1]
signature, version, date, time = line.rsplit(" ", 3)
# new NLLoc > 6.0 seems to add prefix 'run:' before date
if date.startswith('run:'):
date = date[4:]
signature = signature.strip()
creation_time = UTCDateTime.strptime(date + time, str("%d%b%Y%Hh%Mm%S"))
if coordinate_converter:
# maximum likelihood origin location in km info line
line = lines["HYPOCENTER"]
x, y, z = coordinate_converter(*map(float, line.split()[1:7:2]))
else:
# maximum likelihood origin location lon lat info line
line = lines["GEOGRAPHIC"]
y, x, z = map(float, line.split()[8:13:2])
# maximum likelihood origin time info line
line = lines["GEOGRAPHIC"]
year, mon, day, hour, min = map(int, line.split()[1:6])
seconds = float(line.split()[6])
time = UTCDateTime(year, mon, day, hour, min, seconds, strict=False)
# distribution statistics line
line = lines["STATISTICS"]
covariance_xx = float(line.split()[7])
covariance_yy = float(line.split()[13])
covariance_zz = float(line.split()[17])
stats_info_string = str(
"Note: Depth/Latitude/Longitude errors are calculated from covariance "
"matrix as 1D marginal (Lon/Lat errors as great circle degrees) "
"while OriginUncertainty min/max horizontal errors are calculated "
"from 2D error ellipsoid and are therefore seemingly higher compared "
"to 1D errors. Error estimates can be reconstructed from the "
"following original NonLinLoc error statistics line:\nSTATISTICS " +
lines["STATISTICS"])
# goto location quality info line
line = lines["QML_OriginQuality"].split()
(assoc_phase_count, used_phase_count, assoc_station_count,
used_station_count, depth_phase_count) = map(int, line[1:11:2])
stderr, az_gap, sec_az_gap = map(float, line[11:17:2])
gt_level = line[17]
min_dist, max_dist, med_dist = map(float, line[19:25:2])
# goto location quality info line
line = lines["QML_OriginUncertainty"]
if "COMMENT" in lines:
comment = lines["COMMENT"].strip()
comment = comment.strip('\'"')
comment = comment.strip()
hor_unc, min_hor_unc, max_hor_unc, hor_unc_azim = \
map(float, line.split()[1:9:2])
# assign origin info
event = Event()
o = Origin()
event.origins = [o]
event.preferred_origin_id = o.resource_id
o.origin_uncertainty = OriginUncertainty()
o.quality = OriginQuality()
ou = o.origin_uncertainty
oq = o.quality
o.comments.append(Comment(text=stats_info_string, force_resource_id=False))
event.comments.append(Comment(text=comment, force_resource_id=False))
# SIGNATURE field's first item is LOCSIG, which is supposed to be
# 'Identification of an individual, institiution or other entity'
# according to
# http://alomax.free.fr/nlloc/soft6.00/control.html#_NLLoc_locsig_
# so use it as author in creation info
event.creation_info = CreationInfo(creation_time=creation_time,
version=version,
author=signature)
o.creation_info = CreationInfo(creation_time=creation_time,
version=version,
author=signature)
# negative values can appear on diagonal of covariance matrix due to a
# precision problem in NLLoc implementation when location coordinates are
# large compared to the covariances.
o.longitude = x
try:
o.longitude_errors.uncertainty = kilometer2degrees(sqrt(covariance_xx))
except ValueError:
if covariance_xx < 0:
msg = ("Negative value in XX value of covariance matrix, not "
"setting longitude error (epicentral uncertainties will "
"still be set in origin uncertainty).")
warnings.warn(msg)
else:
raise
o.latitude = y
try:
o.latitude_errors.uncertainty = kilometer2degrees(sqrt(covariance_yy))
except ValueError:
if covariance_yy < 0:
msg = ("Negative value in YY value of covariance matrix, not "
"setting longitude error (epicentral uncertainties will "
"still be set in origin uncertainty).")
warnings.warn(msg)
else:
raise
o.depth = z * 1e3 # meters!
o.depth_errors.uncertainty = sqrt(covariance_zz) * 1e3 # meters!
o.depth_errors.confidence_level = 68
o.depth_type = str("from location")
o.time = time
ou.horizontal_uncertainty = hor_unc
ou.min_horizontal_uncertainty = min_hor_unc
ou.max_horizontal_uncertainty = max_hor_unc
# values of -1 seem to be used for unset values, set to None
for field in ("horizontal_uncertainty", "min_horizontal_uncertainty",
"max_horizontal_uncertainty"):
if ou.get(field, -1) == -1:
ou[field] = None
else:
ou[field] *= 1e3 # meters!
ou.azimuth_max_horizontal_uncertainty = hor_unc_azim
ou.preferred_description = str("uncertainty ellipse")
ou.confidence_level = 68 # NonLinLoc in general uses 1-sigma (68%) level
oq.standard_error = stderr
oq.azimuthal_gap = az_gap
oq.secondary_azimuthal_gap = sec_az_gap
oq.used_phase_count = used_phase_count
oq.used_station_count = used_station_count
oq.associated_phase_count = assoc_phase_count
oq.associated_station_count = assoc_station_count
oq.depth_phase_count = depth_phase_count
oq.ground_truth_level = gt_level
oq.minimum_distance = kilometer2degrees(min_dist)
oq.maximum_distance = kilometer2degrees(max_dist)
oq.median_distance = kilometer2degrees(med_dist)
# go through all phase info lines
for line in phases_lines:
line = line.split()
arrival = Arrival()
o.arrivals.append(arrival)
station = str(line[0])
phase = str(line[4])
arrival.phase = phase
arrival.distance = kilometer2degrees(float(line[21]))
arrival.azimuth = float(line[23])
arrival.takeoff_angle = float(line[24])
arrival.time_residual = float(line[16])
arrival.time_weight = float(line[17])
pick = Pick()
# network codes are not used by NonLinLoc, so they can not be known
# when reading the .hyp file.. to conform with QuakeML standard set an
# empty network code
wid = WaveformStreamID(network_code="", station_code=station)
# have to split this into ints for overflow to work correctly
date, hourmin, sec = map(str, line[6:9])
ymd = [int(date[:4]), int(date[4:6]), int(date[6:8])]
hm = [int(hourmin[:2]), int(hourmin[2:4])]
t = UTCDateTime(*(ymd + hm), strict=False) + float(sec)
pick.waveform_id = wid
pick.time = t
pick.time_errors.uncertainty = float(line[10])
pick.phase_hint = phase
pick.onset = ONSETS.get(line[3].lower(), None)
pick.polarity = POLARITIES.get(line[5].lower(), None)
# try to determine original pick for each arrival
for pick_ in original_picks:
wid = pick_.waveform_id
if station == wid.station_code and phase == pick_.phase_hint:
pick = pick_
break
else:
# warn if original picks were specified and we could not associate
# the arrival correctly
if original_picks:
msg = ("Could not determine corresponding original pick for "
"arrival. "
"Falling back to pick information in NonLinLoc "
"hypocenter-phase file.")
warnings.warn(msg)
event.picks.append(pick)
arrival.pick_id = pick.resource_id
event.scope_resource_ids()
return event
def _read_picks(f, new_event):
"""
Internal pick reader. Use read_nordic instead.
:type f: file
:param f: File open in read mode
:type wav_names: list
:param wav_names: List of waveform files in the sfile
:type new_event: :class:`~obspy.core.event.event.Event`
:param new_event: event to associate picks with.
:returns: :class:`~obspy.core.event.event.Event`
"""
f.seek(0)
evtime = new_event.origins[0].time
pickline = []
# Set a default, ignored later unless overwritten
snr = None
for lineno, line in enumerate(f):
if line[79] == '7':
header = line
break
for lineno, line in enumerate(f):
if len(line.rstrip('\n').rstrip('\r')) in [80, 79] and \
line[79] in ' 4\n':
pickline += [line]
for line in pickline:
if line[18:28].strip() == '': # If line is empty miss it
continue
weight = line[14]
if weight == '_':
phase = line[10:17]
weight = 0
polarity = ''
else:
phase = line[10:14].strip()
polarity = line[16]
if weight == ' ':
weight = 0
polarity_maps = {"": "undecidable", "C": "positive", "D": "negative"}
try:
polarity = polarity_maps[polarity]
except KeyError:
polarity = "undecidable"
# It is valid nordic for the origin to be hour 23 and picks to be hour
# 00 or 24: this signifies a pick over a day boundary.
if int(line[18:20]) == 0 and evtime.hour == 23:
day_add = 86400
pick_hour = 0
elif int(line[18:20]) == 24:
day_add = 86400
pick_hour = 0
else:
day_add = 0
pick_hour = int(line[18:20])
try:
time = UTCDateTime(evtime.year, evtime.month, evtime.day,
pick_hour, int(line[20:22]),
float(line[23:28])) + day_add
except ValueError:
time = UTCDateTime(evtime.year, evtime.month, evtime.day,
int(line[18:20]), pick_hour,
float("0." + line[23:38].split('.')[1])) +\
60 + day_add
# Add 60 seconds on to the time, this copes with s-file
# preference to write seconds in 1-60 rather than 0-59 which
# datetime objects accept
if header[57:60] == 'AIN':
ain = _float_conv(line[57:60])
warnings.warn('AIN: %s in header, currently unsupported' % ain)
elif header[57:60] == 'SNR':
snr = _float_conv(line[57:60])
else:
warnings.warn('%s is not currently supported' % header[57:60])
# finalweight = _int_conv(line[68:70])
# Create a new obspy.event.Pick class for this pick
_waveform_id = WaveformStreamID(station_code=line[1:6].strip(),
channel_code=line[6:8].strip(),
network_code='NA')
pick = Pick(waveform_id=_waveform_id, phase_hint=phase,
polarity=polarity, time=time)
try:
pick.onset = onsets[line[9]]
except KeyError:
pass
if line[15] == 'A':
pick.evaluation_mode = 'automatic'
else:
pick.evaluation_mode = 'manual'
# Note these two are not always filled - velocity conversion not yet
# implemented, needs to be converted from km/s to s/deg
# if not velocity == 999.0:
# new_event.picks[pick_index].horizontal_slowness = 1.0 / velocity
if _float_conv(line[46:51]) is not None:
pick.backazimuth = _float_conv(line[46:51])
# Create new obspy.event.Amplitude class which references above Pick
# only if there is an amplitude picked.
if _float_conv(line[33:40]) is not None:
_amplitude = Amplitude(generic_amplitude=_float_conv(line[33:40]),
period=_float_conv(line[41:45]),
pick_id=pick.resource_id,
waveform_id=pick.waveform_id)
if pick.phase_hint == 'IAML':
# Amplitude for local magnitude
_amplitude.type = 'AML'
# Set to be evaluating a point in the trace
_amplitude.category = 'point'
# Default AML unit in seisan is nm (Page 139 of seisan
# documentation, version 10.0)
_amplitude.generic_amplitude /= 1e9
_amplitude.unit = 'm'
_amplitude.magnitude_hint = 'ML'
else:
# Generic amplitude type
_amplitude.type = 'A'
if snr:
_amplitude.snr = snr
new_event.amplitudes.append(_amplitude)
elif _int_conv(line[28:33]) is not None:
# Create an amplitude instance for code duration also
_amplitude = Amplitude(generic_amplitude=_int_conv(line[28:33]),
pick_id=pick.resource_id,
waveform_id=pick.waveform_id)
# Amplitude for coda magnitude
_amplitude.type = 'END'
# Set to be evaluating a point in the trace
_amplitude.category = 'duration'
_amplitude.unit = 's'
_amplitude.magnitude_hint = 'Mc'
if snr is not None:
_amplitude.snr = snr
new_event.amplitudes.append(_amplitude)
# Create new obspy.event.Arrival class referencing above Pick
if _float_conv(line[33:40]) is None:
arrival = Arrival(phase=pick.phase_hint, pick_id=pick.resource_id)
if weight is not None:
arrival.time_weight = weight
if _int_conv(line[60:63]) is not None:
arrival.backazimuth_residual = _int_conv(line[60:63])
if _float_conv(line[63:68]) is not None:
arrival.time_residual = _float_conv(line[63:68])
if _float_conv(line[70:75]) is not None:
arrival.distance = kilometers2degrees(_float_conv(line[70:75]))
if _int_conv(line[76:79]) is not None:
arrival.azimuth = _int_conv(line[76:79])
new_event.origins[0].arrivals.append(arrival)
new_event.picks.append(pick)
return new_event
def test_read_write():
"""
Function to test the read and write capabilities of Sfile_util.
"""
import os
from obspy.core.event import Pick, WaveformStreamID, Arrival, Amplitude
from obspy.core.event import Catalog, Event, Origin, Magnitude
from obspy.core.event import EventDescription, CreationInfo
import obspy
if int(obspy.__version__.split('.')[0]) >= 1:
from obspy.core.event import read_events
else:
from obspy.core.event import readEvents as read_events
from obspy import UTCDateTime
# Set-up a test event
test_event = Event()
test_event.origins.append(Origin())
test_event.origins[0].time = UTCDateTime("2012-03-26") + 1
test_event.event_descriptions.append(EventDescription())
test_event.event_descriptions[0].text = 'LE'
test_event.origins[0].latitude = 45.0
test_event.origins[0].longitude = 25.0
test_event.origins[0].depth = 15.0
test_event.creation_info = CreationInfo(agency_id='TES')
test_event.origins[0].time_errors['Time_Residual_RMS'] = 0.01
test_event.magnitudes.append(Magnitude())
test_event.magnitudes[0].mag = 0.1
test_event.magnitudes[0].magnitude_type = 'ML'
test_event.magnitudes[0].creation_info = CreationInfo('TES')
test_event.magnitudes[0].origin_id = test_event.origins[0].resource_id
test_event.magnitudes.append(Magnitude())
test_event.magnitudes[1].mag = 0.5
test_event.magnitudes[1].magnitude_type = 'Mc'
test_event.magnitudes[1].creation_info = CreationInfo('TES')
test_event.magnitudes[1].origin_id = test_event.origins[0].resource_id
test_event.magnitudes.append(Magnitude())
test_event.magnitudes[2].mag = 1.3
test_event.magnitudes[2].magnitude_type = 'Ms'
test_event.magnitudes[2].creation_info = CreationInfo('TES')
test_event.magnitudes[2].origin_id = test_event.origins[0].resource_id
# Define the test pick
_waveform_id = WaveformStreamID(station_code='FOZ',
channel_code='SHZ',
network_code='NZ')
test_event.picks.append(
Pick(waveform_id=_waveform_id,
onset='impulsive',
phase_hint='PN',
polarity='positive',
time=UTCDateTime("2012-03-26") + 1.68,
horizontal_slowness=12,
backazimuth=20))
test_event.amplitudes.append(
Amplitude(generic_amplitude=2.0,
period=0.4,
pick_id=test_event.picks[0].resource_id,
waveform_id=test_event.picks[0].waveform_id,
unit='m'))
test_event.origins[0].arrivals.append(
Arrival(time_weight=2,
phase=test_event.picks[0].phase_hint,
pick_id=test_event.picks[0].resource_id,
backazimuth_residual=5,
time_residual=0.2,
distance=15,
azimuth=25))
# Add the event to a catalogue which can be used for QuakeML testing
test_cat = Catalog()
test_cat += test_event
# Write the catalog
test_cat.write("Test_catalog.xml", format='QUAKEML')
# Read and check
read_cat = read_events("Test_catalog.xml")
os.remove("Test_catalog.xml")
assert read_cat[0].resource_id == test_cat[0].resource_id
assert read_cat[0].picks == test_cat[0].picks
assert read_cat[0].origins[0].resource_id ==\
test_cat[0].origins[0].resource_id
assert read_cat[0].origins[0].time == test_cat[0].origins[0].time
# Note that time_residuel_RMS is not a quakeML format
assert read_cat[0].origins[0].longitude == test_cat[0].origins[0].longitude
assert read_cat[0].origins[0].latitude == test_cat[0].origins[0].latitude
assert read_cat[0].origins[0].depth == test_cat[0].origins[0].depth
assert read_cat[0].magnitudes == test_cat[0].magnitudes
assert read_cat[0].event_descriptions == test_cat[0].event_descriptions
assert read_cat[0].amplitudes[0].resource_id ==\
test_cat[0].amplitudes[0].resource_id
assert read_cat[0].amplitudes[0].period == test_cat[0].amplitudes[0].period
assert read_cat[0].amplitudes[0].unit == test_cat[0].amplitudes[0].unit
assert read_cat[0].amplitudes[0].generic_amplitude ==\
test_cat[0].amplitudes[0].generic_amplitude
assert read_cat[0].amplitudes[0].pick_id ==\
test_cat[0].amplitudes[0].pick_id
assert read_cat[0].amplitudes[0].waveform_id ==\
test_cat[0].amplitudes[0].waveform_id
# Check the read-write s-file functionality
sfile = eventtoSfile(test_cat[0],
userID='TEST',
evtype='L',
outdir='.',
wavefiles='test',
explosion=True,
overwrite=True)
del read_cat
assert readwavename(sfile) == ['test']
read_cat = Catalog()
read_cat += readpicks(sfile)
os.remove(sfile)
assert read_cat[0].picks[0].time == test_cat[0].picks[0].time
assert read_cat[0].picks[0].backazimuth == test_cat[0].picks[0].backazimuth
assert read_cat[0].picks[0].onset == test_cat[0].picks[0].onset
assert read_cat[0].picks[0].phase_hint == test_cat[0].picks[0].phase_hint
assert read_cat[0].picks[0].polarity == test_cat[0].picks[0].polarity
assert read_cat[0].picks[0].waveform_id.station_code ==\
test_cat[0].picks[0].waveform_id.station_code
assert read_cat[0].picks[0].waveform_id.channel_code[-1] ==\
test_cat[0].picks[0].waveform_id.channel_code[-1]
# assert read_cat[0].origins[0].resource_id ==\
# test_cat[0].origins[0].resource_id
assert read_cat[0].origins[0].time == test_cat[0].origins[0].time
# Note that time_residuel_RMS is not a quakeML format
assert read_cat[0].origins[0].longitude == test_cat[0].origins[0].longitude
assert read_cat[0].origins[0].latitude == test_cat[0].origins[0].latitude
assert read_cat[0].origins[0].depth == test_cat[0].origins[0].depth
assert read_cat[0].magnitudes[0].mag == test_cat[0].magnitudes[0].mag
assert read_cat[0].magnitudes[1].mag == test_cat[0].magnitudes[1].mag
assert read_cat[0].magnitudes[2].mag == test_cat[0].magnitudes[2].mag
assert read_cat[0].magnitudes[0].creation_info ==\
test_cat[0].magnitudes[0].creation_info
assert read_cat[0].magnitudes[1].creation_info ==\
test_cat[0].magnitudes[1].creation_info
assert read_cat[0].magnitudes[2].creation_info ==\
test_cat[0].magnitudes[2].creation_info
assert read_cat[0].magnitudes[0].magnitude_type ==\
test_cat[0].magnitudes[0].magnitude_type
assert read_cat[0].magnitudes[1].magnitude_type ==\
test_cat[0].magnitudes[1].magnitude_type
assert read_cat[0].magnitudes[2].magnitude_type ==\
test_cat[0].magnitudes[2].magnitude_type
assert read_cat[0].event_descriptions == test_cat[0].event_descriptions
# assert read_cat[0].amplitudes[0].resource_id ==\
# test_cat[0].amplitudes[0].resource_id
assert read_cat[0].amplitudes[0].period == test_cat[0].amplitudes[0].period
assert read_cat[0].amplitudes[0].snr == test_cat[0].amplitudes[0].snr
del read_cat
# assert read_cat[0].amplitudes[0].pick_id ==\
# test_cat[0].amplitudes[0].pick_id
# assert read_cat[0].amplitudes[0].waveform_id ==\
# test_cat[0].amplitudes[0].waveform_id
# Test the wrappers for PICK and EVENTINFO classes
picks, evinfo = eventtopick(test_cat)
# Test the conversion back
conv_cat = Catalog()
conv_cat.append(picktoevent(evinfo, picks))
assert conv_cat[0].picks[0].time == test_cat[0].picks[0].time
assert conv_cat[0].picks[0].backazimuth == test_cat[0].picks[0].backazimuth
assert conv_cat[0].picks[0].onset == test_cat[0].picks[0].onset
assert conv_cat[0].picks[0].phase_hint == test_cat[0].picks[0].phase_hint
assert conv_cat[0].picks[0].polarity == test_cat[0].picks[0].polarity
assert conv_cat[0].picks[0].waveform_id.station_code ==\
test_cat[0].picks[0].waveform_id.station_code
assert conv_cat[0].picks[0].waveform_id.channel_code[-1] ==\
test_cat[0].picks[0].waveform_id.channel_code[-1]
# assert read_cat[0].origins[0].resource_id ==\
# test_cat[0].origins[0].resource_id
assert conv_cat[0].origins[0].time == test_cat[0].origins[0].time
# Note that time_residuel_RMS is not a quakeML format
assert conv_cat[0].origins[0].longitude == test_cat[0].origins[0].longitude
assert conv_cat[0].origins[0].latitude == test_cat[0].origins[0].latitude
assert conv_cat[0].origins[0].depth == test_cat[0].origins[0].depth
assert conv_cat[0].magnitudes[0].mag == test_cat[0].magnitudes[0].mag
assert conv_cat[0].magnitudes[1].mag == test_cat[0].magnitudes[1].mag
assert conv_cat[0].magnitudes[2].mag == test_cat[0].magnitudes[2].mag
assert conv_cat[0].magnitudes[0].creation_info ==\
test_cat[0].magnitudes[0].creation_info
assert conv_cat[0].magnitudes[1].creation_info ==\
test_cat[0].magnitudes[1].creation_info
assert conv_cat[0].magnitudes[2].creation_info ==\
test_cat[0].magnitudes[2].creation_info
assert conv_cat[0].magnitudes[0].magnitude_type ==\
test_cat[0].magnitudes[0].magnitude_type
assert conv_cat[0].magnitudes[1].magnitude_type ==\
test_cat[0].magnitudes[1].magnitude_type
assert conv_cat[0].magnitudes[2].magnitude_type ==\
test_cat[0].magnitudes[2].magnitude_type
assert conv_cat[0].event_descriptions == test_cat[0].event_descriptions
# assert read_cat[0].amplitudes[0].resource_id ==\
# test_cat[0].amplitudes[0].resource_id
assert conv_cat[0].amplitudes[0].period == test_cat[0].amplitudes[0].period
assert conv_cat[0].amplitudes[0].snr == test_cat[0].amplitudes[0].snr
return True
def basic_test_event():
"""
Function to generate a basic, full test event
"""
from obspy.core.event import Pick, WaveformStreamID, Arrival, Amplitude
from obspy.core.event import Event, Origin, Magnitude
from obspy.core.event import EventDescription, CreationInfo
from obspy import UTCDateTime
test_event = Event()
test_event.origins.append(Origin())
test_event.origins[0].time = UTCDateTime("2012-03-26") + 1
test_event.event_descriptions.append(EventDescription())
test_event.event_descriptions[0].text = 'LE'
test_event.origins[0].latitude = 45.0
test_event.origins[0].longitude = 25.0
test_event.origins[0].depth = 15000
test_event.creation_info = CreationInfo(agency_id='TES')
test_event.origins[0].time_errors['Time_Residual_RMS'] = 0.01
test_event.magnitudes.append(Magnitude())
test_event.magnitudes[0].mag = 0.1
test_event.magnitudes[0].magnitude_type = 'ML'
test_event.magnitudes[0].creation_info = CreationInfo('TES')
test_event.magnitudes[0].origin_id = test_event.origins[0].resource_id
test_event.magnitudes.append(Magnitude())
test_event.magnitudes[1].mag = 0.5
test_event.magnitudes[1].magnitude_type = 'Mc'
test_event.magnitudes[1].creation_info = CreationInfo('TES')
test_event.magnitudes[1].origin_id = test_event.origins[0].resource_id
test_event.magnitudes.append(Magnitude())
test_event.magnitudes[2].mag = 1.3
test_event.magnitudes[2].magnitude_type = 'Ms'
test_event.magnitudes[2].creation_info = CreationInfo('TES')
test_event.magnitudes[2].origin_id = test_event.origins[0].resource_id
# Define the test pick
_waveform_id = WaveformStreamID(station_code='FOZ',
channel_code='SHZ',
network_code='NZ')
test_event.picks.append(
Pick(waveform_id=_waveform_id,
onset='impulsive',
phase_hint='PN',
polarity='positive',
time=UTCDateTime("2012-03-26") + 1.68,
horizontal_slowness=12,
backazimuth=20))
test_event.amplitudes.append(
Amplitude(generic_amplitude=2.0,
period=0.4,
pick_id=test_event.picks[0].resource_id,
waveform_id=test_event.picks[0].waveform_id,
unit='m'))
test_event.origins[0].arrivals.append(
Arrival(time_weight=2,
phase=test_event.picks[0].phase_hint,
pick_id=test_event.picks[0].resource_id,
backazimuth_residual=5,
time_residual=0.2,
distance=15,
azimuth=25))
return test_event
def read_nlloc_hyp(filename, coordinate_converter=None, picks=None, **kwargs):
"""
Reads a NonLinLoc Hypocenter-Phase file to a
:class:`~obspy.core.event.Catalog` object.
.. note::
Coordinate conversion from coordinate frame of NonLinLoc model files /
location run to WGS84 has to be specified explicitly by the user if
necessary.
.. note::
An example can be found on the :mod:`~obspy.io.nlloc` submodule front
page in the documentation pages.
:param filename: File or file-like object in text mode.
:type coordinate_converter: func
:param coordinate_converter: Function to convert (x, y, z)
coordinates of NonLinLoc output to geographical coordinates and depth
in meters (longitude, latitude, depth in kilometers).
If left ``None``, NonLinLoc (x, y, z) output is left unchanged (e.g. if
it is in geographical coordinates already like for NonLinLoc in
global mode).
The function should accept three arguments x, y, z (each of type
:class:`numpy.ndarray`) and return a tuple of three
:class:`numpy.ndarray` (lon, lat, depth in kilometers).
:type picks: list of :class:`~obspy.core.event.Pick`
:param picks: Original picks used to generate the NonLinLoc location.
If provided, the output event will include the original picks and the
arrivals in the output origin will link to them correctly (with their
``pick_id`` attribute). If not provided, the output event will include
(the rather basic) pick information that can be reconstructed from the
NonLinLoc hypocenter-phase file.
:rtype: :class:`~obspy.core.event.Catalog`
"""
if not hasattr(filename, "read"):
# Check if it exists, otherwise assume its a string.
try:
with open(filename, "rt") as fh:
data = fh.read()
except:
try:
data = filename.decode()
except:
data = str(filename)
data = data.strip()
else:
data = filename.read()
if hasattr(data, "decode"):
data = data.decode()
lines = data.splitlines()
# remember picks originally used in location, if provided
original_picks = picks
if original_picks is None:
original_picks = []
# determine indices of block start/end of the NLLOC output file
indices_hyp = [None, None]
indices_phases = [None, None]
for i, line in enumerate(lines):
if line.startswith("NLLOC "):
indices_hyp[0] = i
elif line.startswith("END_NLLOC"):
indices_hyp[1] = i
elif line.startswith("PHASE "):
indices_phases[0] = i
elif line.startswith("END_PHASE"):
indices_phases[1] = i
if any([i is None for i in indices_hyp]):
msg = ("NLLOC HYP file seems corrupt,"
" could not detect 'NLLOC' and 'END_NLLOC' lines.")
raise RuntimeError(msg)
# strip any other lines around NLLOC block
lines = lines[indices_hyp[0]:indices_hyp[1]]
# extract PHASES lines (if any)
if any(indices_phases):
if not all(indices_phases):
msg = ("NLLOC HYP file seems corrupt, 'PHASE' block is corrupt.")
raise RuntimeError(msg)
i1, i2 = indices_phases
lines, phases_lines = lines[:i1] + lines[i2 + 1:], lines[i1 + 1:i2]
else:
phases_lines = []
lines = dict([line.split(None, 1) for line in lines])
line = lines["SIGNATURE"]
line = line.rstrip().split('"')[1]
signature, version, date, time = line.rsplit(" ", 3)
creation_time = UTCDateTime().strptime(date + time, str("%d%b%Y%Hh%Mm%S"))
# maximum likelihood origin location info line
line = lines["HYPOCENTER"]
x, y, z = map(float, line.split()[1:7:2])
if coordinate_converter:
x, y, z = coordinate_converter(x, y, z)
# origin time info line
line = lines["GEOGRAPHIC"]
year, month, day, hour, minute = map(int, line.split()[1:6])
seconds = float(line.split()[6])
time = UTCDateTime(year, month, day, hour, minute, seconds)
# distribution statistics line
line = lines["STATISTICS"]
covariance_xx = float(line.split()[7])
covariance_yy = float(line.split()[13])
covariance_zz = float(line.split()[17])
stats_info_string = str(
"Note: Depth/Latitude/Longitude errors are calculated from covariance "
"matrix as 1D marginal (Lon/Lat errors as great circle degrees) "
"while OriginUncertainty min/max horizontal errors are calculated "
"from 2D error ellipsoid and are therefore seemingly higher compared "
"to 1D errors. Error estimates can be reconstructed from the "
"following original NonLinLoc error statistics line:\nSTATISTICS " +
lines["STATISTICS"])
# goto location quality info line
line = lines["QML_OriginQuality"].split()
(assoc_phase_count, used_phase_count, assoc_station_count,
used_station_count, depth_phase_count) = map(int, line[1:11:2])
stderr, az_gap, sec_az_gap = map(float, line[11:17:2])
gt_level = line[17]
min_dist, max_dist, med_dist = map(float, line[19:25:2])
# goto location quality info line
line = lines["QML_OriginUncertainty"]
hor_unc, min_hor_unc, max_hor_unc, hor_unc_azim = \
map(float, line.split()[1:9:2])
# assign origin info
event = Event()
cat = Catalog(events=[event])
o = Origin()
event.origins = [o]
o.origin_uncertainty = OriginUncertainty()
o.quality = OriginQuality()
ou = o.origin_uncertainty
oq = o.quality
o.comments.append(Comment(text=stats_info_string))
cat.creation_info.creation_time = UTCDateTime()
cat.creation_info.version = "ObsPy %s" % __version__
event.creation_info = CreationInfo(creation_time=creation_time,
version=version)
event.creation_info.version = version
o.creation_info = CreationInfo(creation_time=creation_time,
version=version)
# negative values can appear on diagonal of covariance matrix due to a
# precision problem in NLLoc implementation when location coordinates are
# large compared to the covariances.
o.longitude = x
try:
o.longitude_errors.uncertainty = kilometer2degrees(sqrt(covariance_xx))
except ValueError:
if covariance_xx < 0:
msg = ("Negative value in XX value of covariance matrix, not "
"setting longitude error (epicentral uncertainties will "
"still be set in origin uncertainty).")
warnings.warn(msg)
else:
raise
o.latitude = y
try:
o.latitude_errors.uncertainty = kilometer2degrees(sqrt(covariance_yy))
except ValueError:
if covariance_yy < 0:
msg = ("Negative value in YY value of covariance matrix, not "
"setting longitude error (epicentral uncertainties will "
"still be set in origin uncertainty).")
warnings.warn(msg)
else:
raise
o.depth = z * 1e3 # meters!
o.depth_errors.uncertainty = sqrt(covariance_zz) * 1e3 # meters!
o.depth_errors.confidence_level = 68
o.depth_type = str("from location")
o.time = time
ou.horizontal_uncertainty = hor_unc
ou.min_horizontal_uncertainty = min_hor_unc
ou.max_horizontal_uncertainty = max_hor_unc
# values of -1 seem to be used for unset values, set to None
for field in ("horizontal_uncertainty", "min_horizontal_uncertainty",
"max_horizontal_uncertainty"):
if ou.get(field, -1) == -1:
ou[field] = None
else:
ou[field] *= 1e3 # meters!
ou.azimuth_max_horizontal_uncertainty = hor_unc_azim
ou.preferred_description = str("uncertainty ellipse")
ou.confidence_level = 68 # NonLinLoc in general uses 1-sigma (68%) level
oq.standard_error = stderr
oq.azimuthal_gap = az_gap
oq.secondary_azimuthal_gap = sec_az_gap
oq.used_phase_count = used_phase_count
oq.used_station_count = used_station_count
oq.associated_phase_count = assoc_phase_count
oq.associated_station_count = assoc_station_count
oq.depth_phase_count = depth_phase_count
oq.ground_truth_level = gt_level
oq.minimum_distance = kilometer2degrees(min_dist)
oq.maximum_distance = kilometer2degrees(max_dist)
oq.median_distance = kilometer2degrees(med_dist)
# go through all phase info lines
for line in phases_lines:
line = line.split()
arrival = Arrival()
o.arrivals.append(arrival)
station = str(line[0])
phase = str(line[4])
arrival.phase = phase
arrival.distance = kilometer2degrees(float(line[21]))
arrival.azimuth = float(line[23])
arrival.takeoff_angle = float(line[24])
arrival.time_residual = float(line[16])
arrival.time_weight = float(line[17])
pick = Pick()
wid = WaveformStreamID(station_code=station)
date, hourmin, sec = map(str, line[6:9])
t = UTCDateTime().strptime(date + hourmin, "%Y%m%d%H%M") + float(sec)
pick.waveform_id = wid
pick.time = t
pick.time_errors.uncertainty = float(line[10])
pick.phase_hint = phase
pick.onset = ONSETS.get(line[3].lower(), None)
pick.polarity = POLARITIES.get(line[5].lower(), None)
# try to determine original pick for each arrival
for pick_ in original_picks:
wid = pick_.waveform_id
if station == wid.station_code and phase == pick_.phase_hint:
pick = pick_
break
else:
# warn if original picks were specified and we could not associate
# the arrival correctly
if original_picks:
msg = ("Could not determine corresponding original pick for "
"arrival. "
"Falling back to pick information in NonLinLoc "
"hypocenter-phase file.")
warnings.warn(msg)
event.picks.append(pick)
arrival.pick_id = pick.resource_id
return cat
def _read_evt(filename, encoding='utf-8', **kwargs):
"""
Read a SeismicHandler EVT file and returns an ObsPy Catalog object.
.. warning::
This function should NOT be called directly, it registers via the
ObsPy :func:`~obspy.core.event.read_events` function, call this
instead.
:param str encoding: encoding used (default: utf-8)
:rtype: :class:`~obspy.core.event.Catalog`
:return: An ObsPy Catalog object.
.. note::
The following fields are supported by this function: %s.
Compare with http://www.seismic-handler.org/wiki/ShmDocFileEvt
"""
with io.open(filename, 'r', encoding=encoding) as f:
temp = f.read()
# first create phases and phases_o dictionaries for different phases
# and phases with origin information
phases = defaultdict(list)
phases_o = {}
phase = {}
evid = None
for line in temp.splitlines():
if 'End of Phase' in line:
if 'origin time' in phase.keys():
if evid in phases_o:
# found more than one origin
pass
phases_o[evid] = phase
phases[evid].append(phase)
phase = {}
evid = None
elif line.strip() != '':
try:
key, value = line.split(':', 1)
except ValueError:
continue
key = key.strip().lower()
value = value.strip()
if key == 'event id':
evid = value
elif value != '':
phase[key] = value
assert evid is None
# now create obspy Events from phases and phases_o dictionaries
events = []
for evid in phases:
picks = []
arrivals = []
stamags = []
origins = []
po = None
magnitudes = []
pm = None
for p in phases[evid]:
sta = p.get('station code', '')
comp = p.get('component', '')
pick_kwargs = _kw(p, 'pick')
widargs = _resolve_seedid(sta,
comp,
time=pick_kwargs['time'],
**kwargs)
wid = WaveformStreamID(*widargs)
pick = Pick(waveform_id=wid, **pick_kwargs)
arrival = Arrival(pick_id=pick.resource_id, **_kw(p, 'arrival'))
picks.append(pick)
arrivals.append(arrival)
stamags_temp, _ = _mags(p, evid, stamag=True, wid=wid)
stamags.extend(stamags_temp)
if evid in phases_o:
o = phases_o[evid]
uncertainty = OriginUncertainty(**_kw(o, 'origin_uncertainty'))
origin = Origin(arrivals=arrivals,
origin_uncertainty=uncertainty,
**_kw(o, 'origin'))
if origin.latitude is None or origin.longitude is None:
warn('latitude or longitude not set for event %s' % evid)
else:
if origin.longitude_errors.uncertainty is not None:
origin.longitude_errors.uncertainty *= cos(
origin.latitude / 180 * pi)
origins = [origin]
po = origin.resource_id
magnitudes, pm = _mags(o, evid)
else:
o = p
event = Event(resource_id=ResourceIdentifier(evid),
picks=picks,
origins=origins,
magnitudes=magnitudes,
station_magnitudes=stamags,
preferred_origin_id=po,
preferred_magnitude_id=pm,
**_kw(o, 'event'))
events.append(event)
return Catalog(events,
description='Created from SeismicHandler EVT format')
def _read_evt(filename, inventory=None, id_map=None, id_default='.{}..{}',
encoding='utf-8'):
"""
Read a SeismicHandler EVT file and returns an ObsPy Catalog object.
.. warning::
This function should NOT be called directly, it registers via the
ObsPy :func:`~obspy.core.event.read_events` function, call this
instead.
:type filename: str
:param filename: File or file-like object in text mode.
:type inventory: :class:`~obspy.core.inventory.inventory.Inventory`
:param inventory: Inventory used to retrieve network code, location code
and channel code of stations (SEED id).
:type id_map: dict
:param id_map: If channel information was not found in inventory,
it will be looked up in this dictionary
(example: `id_map={'MOX': 'GR.{}..HH{}'`).
The values must contain three dots and two `{}` which are
substituted by station code and component.
:type id_default: str
:param id_default: Default SEED id expression.
The value must contain three dots and two `{}` which are
substituted by station code and component.
:param str encoding: encoding used (default: utf-8)
:rtype: :class:`~obspy.core.event.Catalog`
:return: An ObsPy Catalog object.
.. note::
The following fields are supported by this function: %s.
Compare with http://www.seismic-handler.org/wiki/ShmDocFileEvt
"""
seed_map = _seed_id_map(inventory, id_map, id_default)
with io.open(filename, 'r', encoding=encoding) as f:
temp = f.read()
# first create phases and phases_o dictionaries for different phases
# and phases with origin information
phases = defaultdict(list)
phases_o = {}
phase = {}
evid = None
for line in temp.splitlines():
if 'End of Phase' in line:
if 'origin time' in phase.keys():
if evid in phases_o:
# found more than one origin
pass
phases_o[evid] = phase
phases[evid].append(phase)
phase = {}
evid = None
elif line.strip() != '':
try:
key, value = line.split(':', 1)
except ValueError:
continue
key = key.strip().lower()
value = value.strip()
if key == 'event id':
evid = value
elif value != '':
phase[key] = value
assert evid is None
# now create obspy Events from phases and phases_o dictionaries
events = []
for evid in phases:
picks = []
arrivals = []
stamags = []
origins = []
po = None
magnitudes = []
pm = None
for p in phases[evid]:
try:
sta = p['station code']
except KeyError:
sta = ''
try:
comp = p['component']
except KeyError:
comp = ''
try:
wid = seed_map[sta]
except KeyError:
wid = id_default
wid = WaveformStreamID(seed_string=wid.format(sta, comp))
pick = Pick(waveform_id=wid, **_kw(p, 'pick'))
arrival = Arrival(pick_id=pick.resource_id, **_kw(p, 'arrival'))
picks.append(pick)
arrivals.append(arrival)
stamags_temp, _ = _mags(p, evid, stamag=True, wid=wid)
stamags.extend(stamags_temp)
if evid in phases_o:
o = phases_o[evid]
uncertainty = OriginUncertainty(**_kw(o, 'origin_uncertainty'))
origin = Origin(arrivals=arrivals, origin_uncertainty=uncertainty,
**_kw(o, 'origin'))
if origin.latitude is None or origin.longitude is None:
warn('latitude or longitude not set for event %s' % evid)
else:
if origin.longitude_errors.uncertainty is not None:
origin.longitude_errors.uncertainty *= cos(
origin.latitude / 180 * pi)
origins = [origin]
po = origin.resource_id
magnitudes, pm = _mags(o, evid)
else:
o = p
event = Event(resource_id=ResourceIdentifier(evid),
picks=picks,
origins=origins,
magnitudes=magnitudes,
station_magnitudes=stamags,
preferred_origin_id=po,
preferred_magnitude_id=pm,
**_kw(o, 'event')
)
events.append(event)
return Catalog(events,
description='Created from SeismicHandler EVT format')
