Source code for NuRadioReco.framework.sim_channel

from __future__ import absolute_import, division, print_function
import NuRadioReco.framework.base_trace
import NuRadioReco.framework.channel
import NuRadioReco.framework.parameter_serialization
try:
    import cPickle as pickle
except ImportError:
    import pickle
import logging
logger = logging.getLogger('channel')


[docs]class SimChannel(NuRadioReco.framework.channel.Channel): """ Object to store simulated channels. This class is the same as the regular channel trace but has apart from the channel id (and possible group id) also a shower and ray tracing solution id """ def __init__(self, channel_id, shower_id, ray_tracing_id, channel_group_id=None): """ Initializes SimChannel object Parameters ---------- channel_id: int id of channel shower_id: int or None the id of the corresponding shower object ray_tracing_id: int or None the id of the corresponding ray tracing solution channel_group_id: int (default: None) optionally, several channels can belong to a "channel group". Use case is to identify the channels of a single dual or triple polarized antenna as common in air shower arrays. """ NuRadioReco.framework.channel.Channel.__init__(self, channel_id, channel_group_id=channel_group_id) self._shower_id = shower_id self._ray_tracing_id = ray_tracing_id
[docs] def get_shower_id(self): return self._shower_id
[docs] def get_ray_tracing_solution_id(self): return self._ray_tracing_id
[docs] def get_unique_identifier(self): """ returns a unique identifier consisting of the tuple channel_id, shower_id and ray_tracing_id """ return (self._id, self._shower_id, self._ray_tracing_id)
[docs] def serialize(self, save_trace): channel_pkl = NuRadioReco.framework.channel.Channel.serialize(self, save_trace) data = {'parameters': NuRadioReco.framework.parameter_serialization.serialize(self._parameters), 'shower_id': self.get_shower_id(), 'ray_tracing_id': self.get_ray_tracing_solution_id(), 'channel': channel_pkl} return pickle.dumps(data, protocol=4)
[docs] def deserialize(self, data_pkl): data = pickle.loads(data_pkl) NuRadioReco.framework.channel.Channel.deserialize(self, data['channel']) self._shower_id = data['shower_id'] self._ray_tracing_id = data['ray_tracing_id']