from __future__ import absolute_import, division, print_function, unicode_literals
import NuRadioReco.framework.base_trace
import NuRadioReco.framework.trigger
import NuRadioReco.framework.electric_field
import NuRadioReco.framework.parameters as parameters
import datetime
import astropy.time
import NuRadioReco.framework.parameter_serialization
try:
import cPickle as pickle
except ImportError:
import pickle
import logging
import collections
logger = logging.getLogger('BaseStation')
[docs]class BaseStation():
def __init__(self, station_id):
self._parameters = {}
self._ARIANNA_parameters = {}
self._parameter_covariances = {}
self._station_id = station_id
self._station_time = None
self._triggers = collections.OrderedDict()
self._triggered = False
self._electric_fields = []
self._particle_type = ''
def __setitem__(self, key, value):
self.set_parameter(key, value)
def __getitem__(self, key):
return self.get_parameter(key)
[docs] def get_parameter(self, key):
if not isinstance(key, parameters.stationParameters):
logger.error("parameter key needs to be of type NuRadioReco.framework.parameters.stationParameters")
raise ValueError("parameter key needs to be of type NuRadioReco.framework.parameters.stationParameters")
return self._parameters[key]
[docs] def get_parameters(self):
return self._parameters
[docs] def has_parameter(self, key):
if not isinstance(key, parameters.stationParameters):
logger.error("parameter key needs to be of type NuRadioReco.framework.parameters.stationParameters")
raise ValueError("parameter key needs to be of type NuRadioReco.framework.parameters.stationParameters")
return key in self._parameters.keys()
[docs] def set_parameter(self, key, value):
if not isinstance(key, parameters.stationParameters):
logger.error("parameter key needs to be of type NuRadioReco.framework.parameters.stationParameters")
raise ValueError("parameter key needs to be of type NuRadioReco.framework.parameters.stationParameters")
self._parameters[key] = value
[docs] def set_parameter_error(self, key, value):
if not isinstance(key, parameters.stationParameters):
logger.error("parameter key needs to be of type NuRadioReco.framework.parameters.stationParameters")
raise ValueError("parameter key needs to be of type NuRadioReco.framework.parameters.stationParameters")
self._parameter_covariances[(key, key)] = value ** 2
[docs] def get_parameter_error(self, key):
if not isinstance(key, parameters.stationParameters):
logger.error("parameter key needs to be of type NuRadioReco.framework.parameters.stationParameters")
raise ValueError("parameter key needs to be of type NuRadioReco.framework.parameters.stationParameters")
return self._parameter_covariances[(key, key)] ** 0.5
[docs] def remove_parameter(self, key):
if not isinstance(key, parameters.stationParameters):
logger.error("parameter key needs to be of type NuRadioReco.framework.parameters.stationParameters")
raise ValueError("parameter key needs to be of type NuRadioReco.framework.parameters.stationParameters")
self._parameters.pop(key, None)
[docs] def set_station_time(self, time, format=None):
"""
Set the (absolute) time for the station (stored as astropy.time.Time).
Not related to the event._event_time.
Parameters
----------
time: astropy.time.Time or datetime.datetime or float
If "time" is a float, you have to specify its format.
format: str
Only used when "time" is a float. Format to interpret "time". (Default: None)
"""
if isinstance(time, datetime.datetime):
self._station_time = astropy.time.Time(time)
elif isinstance(time, astropy.time.Time):
self._station_time = time
elif time is None:
self._station_time = None
else:
self._station_time = astropy.time.Time(time, format=format)
[docs] def get_station_time(self, format='isot'):
"""
Returns a astropy.time.Time object
Parameters
----------
format: str
Format in which the time object is displayed. (Default: isot)
Returns
-------
_station_time: astropy.time.Time
"""
if self._station_time is None:
return None
self._station_time.format = format
return self._station_time
[docs] def get_station_time_dict(self):
""" Return the station time as dict {value, format}. Used for reading and writing """
if self._station_time is None:
return None
else:
return {'value': self._station_time.value, 'format': self._station_time.format}
[docs] def get_id(self):
return self._station_id
[docs] def remove_triggers(self):
self._triggers = collections.OrderedDict()
[docs] def get_trigger(self, name):
if (name not in self._triggers):
raise ValueError("trigger with name {} not present".format(name))
return self._triggers[name]
[docs] def has_trigger(self, trigger_name):
"""
checks if station has a trigger with a certain name
Parameters
----------
trigger_name: string
the name of the trigger
Returns bool
"""
return trigger_name in self._triggers
[docs] def get_triggers(self):
"""
returns a dictionary of the triggers. key is the trigger name, value is a trigger object
"""
return self._triggers
[docs] def set_trigger(self, trigger):
if (trigger.get_name() in self._triggers):
logger.warning(
"station has already a trigger with name {}. The previous trigger will be overridden!".format(
trigger.get_name()))
self._triggers[trigger.get_name()] = trigger
self._triggered = trigger.has_triggered() or self._triggered
[docs] def has_triggered(self, trigger_name=None):
"""
convenience function.
Parameters
----------
trigger_name: string or None (default None)
* if None: The function returns False if not trigger was set. If one or multiple triggers were set,
it returns True if any of those triggers triggered
* if trigger name is set: return if the trigger with name 'trigger_name' has a trigger
"""
if (trigger_name is None):
return self._triggered
else:
return self.get_trigger(trigger_name).has_triggered()
[docs] def set_triggered(self, triggered=True):
"""
convenience function to set a simple trigger. The recommended interface is to set triggers through the
set_trigger() interface.
"""
if (len(self._triggers) > 1):
raise ValueError("more then one trigger were set. Request is ambiguous")
trigger = NuRadioReco.framework.trigger.Trigger('default')
trigger.set_triggered(triggered)
self.set_trigger(trigger)
[docs] def set_electric_fields(self, electric_fields):
self._electric_fields = electric_fields
[docs] def get_electric_fields(self):
return self._electric_fields
[docs] def add_electric_field(self, electric_field):
self._electric_fields.append(electric_field)
[docs] def get_electric_fields_for_channels(self, channel_ids=None, ray_path_type=None):
for e_field in self._electric_fields:
channel_ids2 = channel_ids
if (channel_ids is None):
channel_ids2 = e_field.get_channel_ids()
if e_field.has_channel_ids(channel_ids2):
if ray_path_type is None:
yield e_field
elif ray_path_type == e_field.get_parameter(parameters.electricFieldParameters.ray_path_type):
yield e_field
[docs] def is_neutrino(self):
if self._particle_type == '':
msg = "Stations particle type has not been set. Please call the module `eventTypeIdentifier.run(event, station, mode='forced', forced_event_type='neutrino'/'cosmic_ray')`."
msg += " This flag is used to differentiate between signals that originate from air vs. signals that originate from within the ice which is needed to e.g. determine if refraction "
msg += "into the ice needs to be considered."
logger.error(msg)
raise ValueError(msg)
return self._particle_type == 'nu'
[docs] def is_cosmic_ray(self):
if self._particle_type == '':
msg = "Stations particle type has not been set. Please call the module `eventTypeIdentifier.run(event, station, mode='forced', forced_event_type='neutrino'/'cosmic_ray')`."
msg += " This flag is used to differentiate between signals that originate from air vs. signals that originate from within the ice which is needed to e.g. determine if refraction "
msg += "into the ice needs to be considered."
logger.error(msg)
raise ValueError(msg)
return self._particle_type == 'cr'
[docs] def set_is_neutrino(self):
"""
set station type to neutrino
"""
self._particle_type = 'nu'
[docs] def set_is_cosmic_ray(self):
"""
set station type to cosmic rays (relevant e.g. for refraction into the snow)
"""
self._particle_type = 'cr'
# provide interface to ARIANNA specific parameters
[docs] def get_ARIANNA_parameter(self, key):
if not isinstance(key, parameters.ARIANNAParameters):
logger.error("parameter key needs to be of type NuRadioReco.framework.parameters.ARIANNAParameters")
raise ValueError("parameter key needs to be of type NuRadioReco.framework.parameters.ARIANNAParameters")
return self._ARIANNA_parameters[key]
[docs] def get_ARIANNA_parameters(self):
return self._ARIANNA_parameters
[docs] def has_ARIANNA_parameter(self, key):
if not isinstance(key, parameters.ARIANNAParameters):
logger.error("parameter key needs to be of type NuRadioReco.framework.parameters.ARIANNAParameters")
raise ValueError("parameter key needs to be of type NuRadioReco.framework.parameters.ARIANNAParameters")
return key in self._ARIANNA_parameters.keys()
[docs] def set_ARIANNA_parameter(self, key, value):
if not isinstance(key, parameters.ARIANNAParameters):
logger.error("parameter key needs to be of type NuRadioReco.framework.parameters.ARIANNAParameters")
raise ValueError("parameter key needs to be of type NuRadioReco.framework.parameters.ARIANNAParameters")
self._ARIANNA_parameters[key] = value
[docs] def serialize(self, save_efield_traces):
trigger_pkls = []
for trigger in self._triggers.values():
trigger_pkls.append(trigger.serialize())
efield_pkls = []
for efield in self.get_electric_fields():
efield_pkls.append(efield.serialize(save_trace=save_efield_traces))
station_time_dict = self.get_station_time_dict()
data = {'_parameters': NuRadioReco.framework.parameter_serialization.serialize(self._parameters),
'_parameter_covariances': NuRadioReco.framework.parameter_serialization.serialize_covariances(self._parameter_covariances),
'_ARIANNA_parameters': self._ARIANNA_parameters,
'_station_id': self._station_id,
'_station_time': station_time_dict,
'_particle_type': self._particle_type,
'triggers': trigger_pkls,
'_triggered': self._triggered,
'electric_fields': efield_pkls}
return pickle.dumps(data, protocol=4)
[docs] def deserialize(self, data_pkl):
data = pickle.loads(data_pkl)
if 'triggers' in data:
self._triggers = NuRadioReco.framework.trigger.deserialize(data['triggers'])
if 'triggers' in data:
self._triggered = data['_triggered']
for electric_field in data['electric_fields']:
efield = NuRadioReco.framework.electric_field.ElectricField([])
efield.deserialize(electric_field)
self.add_electric_field(efield)
self._parameters = NuRadioReco.framework.parameter_serialization.deserialize(data['_parameters'],
parameters.stationParameters)
self._parameter_covariances = NuRadioReco.framework.parameter_serialization.deserialize_covariances(
data['_parameter_covariances'], parameters.stationParameters)
if '_ARIANNA_parameters' in data:
self._ARIANNA_parameters = data['_ARIANNA_parameters']
self._station_id = data['_station_id']
if data['_station_time'] is not None:
if isinstance(data['_station_time'], dict):
station_time = astropy.time.Time(data['_station_time']['value'], format=data['_station_time']['format'])
self.set_station_time(station_time)
# For backward compatibility, we also keep supporting station times stored as astropy.time objects
else:
self.set_station_time(data['_station_time'])
self._particle_type = data['_particle_type']