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 __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 _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 _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 _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 _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 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 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_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] 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 _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 _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 _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