import numpy as np
import time
import logging
from datetime import timedelta
from NuRadioReco.modules.base.module import register_run
from NuRadioReco.utilities import units
from NuRadioReco.framework.parameters import stationParameters as stnp
from NuRadioReco.framework.trigger import SimpleThresholdTrigger
from NuRadioReco.modules.trigger.highLowThreshold import get_majority_logic
[docs]def get_threshold_triggers(trace, threshold):
"""
Calculats a simple threshold trigger.
Parameters
----------
trace: array of floats
The signal trace
threshold: float
The threshold
Returns
-------
triggered bins: array of bools
The bins where the trigger condition is satisfied
"""
return np.abs(trace) >= threshold
[docs]class triggerSimulator:
"""
Calculate a very simple amplitude trigger.
"""
def __init__(self):
self.__t = 0
self.begin()
self.logger = logging.getLogger('NuRadioReco.simpleThresholdTrigger')
[docs] def begin(self):
return
[docs] @register_run()
def run(self, evt, station, det,
threshold=60 * units.mV,
number_concidences=1,
triggered_channels=None,
coinc_window=200 * units.ns,
trigger_name='default_simple_threshold'):
"""
Simulate simple trigger logic, no time window, just threshold in all channels
Parameters
----------
evt: Event
The event to run the module on
station: Station
The station to run the module on
det: Detector
The detector description
number_concidences: int
number of channels that are requried in coincidence to trigger a station
threshold: float or dict of floats
threshold above (or below) a trigger is issued, absolute amplitude
a dict can be used to specify a different threshold per channel where the key is the channel id
triggered_channels: array of ints or None
channels ids that are triggered on, if None trigger will run on all channels
coinc_window: float
time window in which number_concidences channels need to trigger
trigger_name: string
a unique name of this particular trigger
"""
t = time.time()
sampling_rate = station.get_channel(station.get_channel_ids()[0]).get_sampling_rate()
dt = 1. / sampling_rate
if triggered_channels is None:
for channel in station.iter_channels():
channel_trace_start_time = channel.get_trace_start_time()
break
else:
channel_trace_start_time = station.get_channel(triggered_channels[0]).get_trace_start_time()
triggerd_bins_channels = []
channels_that_passed_trigger = []
for channel in station.iter_channels():
channel_id = channel.get_id()
if triggered_channels is not None and channel_id not in triggered_channels:
self.logger.debug("skipping channel {}".format(channel_id))
continue
if channel.get_trace_start_time() != channel_trace_start_time:
self.logger.warning('Channel has a trace_start_time that differs from the other channels. The trigger simulator may not work properly')
trace = channel.get_trace()
if isinstance(threshold, dict):
threshold_tmp = threshold[channel_id]
else:
threshold_tmp = threshold
triggerd_bins = get_threshold_triggers(trace, threshold_tmp)
triggerd_bins_channels.append(triggerd_bins)
if np.any(triggerd_bins):
channels_that_passed_trigger.append(channel.get_id())
has_triggered, triggered_bins, triggered_times = get_majority_logic(
triggerd_bins_channels, number_concidences, coinc_window, dt)
# set maximum signal aplitude
max_signal = 0
if has_triggered:
for channel in station.iter_channels():
max_signal = max(max_signal, np.abs(channel.get_trace()[triggered_bins]).max())
station.set_parameter(stnp.channels_max_amplitude, max_signal)
trigger = SimpleThresholdTrigger(trigger_name, threshold, triggered_channels, number_concidences)
trigger.set_triggered_channels(channels_that_passed_trigger)
if has_triggered:
trigger.set_triggered(True)
trigger.set_trigger_time(triggered_times.min() + channel_trace_start_time)
self.logger.debug("station has triggered")
else:
trigger.set_triggered(False)
self.logger.debug("station has NOT triggered")
station.set_trigger(trigger)
self.__t += time.time() - t
[docs] def end(self):
dt = timedelta(seconds=self.__t)
self.logger.info("total time used by this module is {}".format(dt))
return dt