def run(self, detector): """ Reads in all observers in the CoREAS files and returns a new simulated event for each. Parameters ---------- detector: Detector object Detector description of the detector that shall be simulated """ for input_file in self.__input_files: self.__current_event = 0 with h5py.File(input_file, "r") as corsika: if "highlevel" not in corsika.keys() or list(corsika["highlevel"].values()) == []: logger.warning(" No highlevel quantities in simulated hdf5 files, weights will be taken from station position") positions = [] for observer in corsika['CoREAS']['observers'].values(): position = observer.attrs['position'] positions.append(np.array([-position[1], position[0], 0]) * units.cm) positions = np.array(positions) zenith, azimuth, magnetic_field_vector = coreas.get_angles(corsika) weights = coreas.calculate_simulation_weights(positions, zenith, azimuth, debug=self.__debug) if self.__debug: import matplotlib.pyplot as plt fig, ax = plt.subplots() im = ax.scatter(positions[:, 0], positions[:, 1], c=weights) fig.colorbar(im, ax=ax).set_label(label=r'Area $[m^2]$') plt.xlabel('East [m]') plt.ylabel('West [m]') plt.title('Final weighting') plt.gca().set_aspect('equal') plt.show() else: positions = list(corsika["highlevel"].values())[0]["antenna_position"] zenith, azimuth, magnetic_field_vector = coreas.get_angles(corsika) weights = coreas.calculate_simulation_weights(positions, zenith, azimuth) for i, (name, observer) in enumerate(corsika['CoREAS']['observers'].items()): evt = NuRadioReco.framework.event.Event(self.__current_input_file, self.__current_event) # create empty event station = NuRadioReco.framework.station.Station(self.__station_id) sim_station = coreas.make_sim_station( self.__station_id, corsika, observer, detector.get_channel_ids(self.__station_id), weights[i] ) station.set_sim_station(sim_station) sim_shower = coreas.make_sim_shower(corsika, observer, detector, self.__station_id) evt.add_sim_shower(sim_shower) evt.set_station(station) self.__current_event += 1 yield evt self.__current_input_file += 1
def run(self, detector, output_mode=0): """ Read in a random sample of stations from a CoREAS file. For each position the closest observer is selected and a simulated event is created for that observer. Parameters ---------- detector: Detector object Detector description of the detector that shall be simulated output_mode: integer (default 0) 0: only the event object is returned 1: the function reuturns the event object, the current inputfilename, the distance between the choosen station and the requested core position, and the area in which the core positions are randomly distributed """ while (self.__current_input_file < len(self.__input_files)): t = time.time() t_per_event = time.time() filesize = os.path.getsize( self.__input_files[self.__current_input_file]) if ( filesize < 18456 * 2 ): # based on the observation that a file with such a small filesize is corrupt self.logger.warning( "file {} seems to be corrupt, skipping to next file". format(self.__input_files[self.__current_input_file])) self.__current_input_file += 1 continue corsika = h5py.File(self.__input_files[self.__current_input_file], "r") self.logger.info( "using coreas simulation {} with E={:2g} theta = {:.0f}". format(self.__input_files[self.__current_input_file], corsika['inputs'].attrs["ERANGE"][0] * units.GeV, corsika['inputs'].attrs["THETAP"][0])) positions = [] for i, observer in enumerate( corsika['CoREAS']['observers'].values()): position = observer.attrs['position'] positions.append( np.array([-position[1], position[0], 0]) * units.cm) # self.logger.debug("({:.0f}, {:.0f})".format(positions[i][0], positions[i][1])) positions = np.array(positions) zenith, azimuth, magnetic_field_vector = coreas.get_angles(corsika) cs = cstrafo.cstrafo(zenith, azimuth, magnetic_field_vector) positions_vBvvB = cs.transform_from_magnetic_to_geographic( positions.T) positions_vBvvB = cs.transform_to_vxB_vxvxB(positions_vBvvB).T # for i, pos in enumerate(positions_vBvvB): # self.logger.debug("star shape") # self.logger.debug("({:.0f}, {:.0f}); ({:.0f}, {:.0f})".format(positions[i, 0], positions[i, 1], pos[0], pos[1])) dd = (positions_vBvvB[:, 0]**2 + positions_vBvvB[:, 1]**2)**0.5 ddmax = dd.max() self.logger.info("star shape from: {} - {}".format( -dd.max(), dd.max())) # generate core positions randomly within a rectangle cores = np.array([ self.__random_generator.uniform(self.__area[0], self.__area[1], self.__n_cores), self.__random_generator.uniform(self.__area[2], self.__area[3], self.__n_cores), np.zeros(self.__n_cores) ]).T self.__t_per_event += time.time() - t_per_event self.__t += time.time() - t station_ids = detector.get_station_ids() for iCore, core in enumerate(cores): t = time.time() evt = NuRadioReco.framework.event.Event( self.__current_input_file, iCore) # create empty event sim_shower = coreas.make_sim_shower(corsika) evt.add_sim_shower(sim_shower) rd_shower = NuRadioReco.framework.radio_shower.RadioShower( station_ids=station_ids) evt.add_shower(rd_shower) for station_id in station_ids: # convert into vxvxB frame to calculate closests simulated station to detecor station det_station_position = detector.get_absolute_position( station_id) det_station_position[2] = 0 core_rel_to_station = core - det_station_position # core_rel_to_station_vBvvB = cs.transform_from_magnetic_to_geographic(core_rel_to_station) core_rel_to_station_vBvvB = cs.transform_to_vxB_vxvxB( core_rel_to_station) dcore = (core_rel_to_station_vBvvB[0]**2 + core_rel_to_station_vBvvB[1]**2)**0.5 # print(f"{core_rel_to_station}, {core_rel_to_station_vBvvB} -> {dcore}") if (dcore > ddmax): # station is outside of the star shape pattern, create empty station station = NuRadioReco.framework.station.Station( station_id) channel_ids = detector.get_channel_ids(station_id) sim_station = coreas.make_sim_station( station_id, corsika, None, channel_ids) station.set_sim_station(sim_station) evt.set_station(station) self.logger.debug( f"station {station_id} is outside of star shape, channel_ids {channel_ids}" ) else: distances = np.linalg.norm( core_rel_to_station_vBvvB[:2] - positions_vBvvB[:, :2], axis=1) index = np.argmin(distances) distance = distances[index] key = list( corsika['CoREAS']['observers'].keys())[index] self.logger.debug( "generating core at ground ({:.0f}, {:.0f}), rel to station ({:.0f}, {:.0f}) vBvvB({:.0f}, {:.0f}), nearest simulated station is {:.0f}m away at ground ({:.0f}, {:.0f}), vBvvB({:.0f}, {:.0f})" .format(cores[iCore][0], cores[iCore][1], core_rel_to_station[0], core_rel_to_station[1], core_rel_to_station_vBvvB[0], core_rel_to_station_vBvvB[1], distance / units.m, positions[index][0], positions[index][1], positions_vBvvB[index][0], positions_vBvvB[index][1])) t_event_structure = time.time() observer = corsika['CoREAS']['observers'].get(key) station = NuRadioReco.framework.station.Station( station_id) channel_ids = detector.get_channel_ids(station_id) sim_station = coreas.make_sim_station( station_id, corsika, observer, channel_ids) station.set_sim_station(sim_station) evt.set_station(station) if (output_mode == 0): self.__t += time.time() - t yield evt elif (output_mode == 1): self.__t += time.time() - t self.__t_event_structure += time.time() - t_event_structure yield evt, self.__current_input_file else: self.logger.debug("output mode > 1 not implemented") raise NotImplementedError self.__current_input_file += 1
def run(self): """ Reads in a CoREAS file and returns an event containing all simulated stations """ while (self.__current_input_file < len(self.__input_files)): t = time.time() t_per_event = time.time() filesize = os.path.getsize( self.__input_files[self.__current_input_file]) if ( filesize < 18456 * 2 ): # based on the observation that a file with such a small filesize is corrupt logger.warning( "file {} seems to be corrupt, skipping to next file". format(self.__input_files[self.__current_input_file])) self.__current_input_file += 1 continue logger.info('Reading %s ...' % self.__input_files[self.__current_input_file]) corsika = h5py.File(self.__input_files[self.__current_input_file], "r") logger.info( "using coreas simulation {} with E={:2g} theta = {:.0f}". format(self.__input_files[self.__current_input_file], corsika['inputs'].attrs["ERANGE"][0] * units.GeV, corsika['inputs'].attrs["THETAP"][0])) f_coreas = corsika["CoREAS"] if self.__ascending_run_and_event_number: evt = NuRadioReco.framework.event.Event( self.__ascending_run_and_event_number, self.__ascending_run_and_event_number) self.__ascending_run_and_event_number += 1 else: evt = NuRadioReco.framework.event.Event( corsika['inputs'].attrs['RUNNR'], corsika['inputs'].attrs['EVTNR']) evt.__event_time = f_coreas.attrs["GPSSecs"] # create sim shower, no core is set since no external detector description is given sim_shower = coreas.make_sim_shower(corsika) sim_shower.set_parameter( shp.core, np.array([ 0, 0, f_coreas.attrs["CoreCoordinateVertical"] / 100 ])) # set core evt.add_sim_shower(sim_shower) # initialize coordinate transformation cs = coordinatesystems.cstrafo( sim_shower.get_parameter(shp.zenith), sim_shower.get_parameter(shp.azimuth), magnetic_field_vector=sim_shower.get_parameter( shp.magnetic_field_vector)) # add simulated pulses as sim station for idx, (name, observer) in enumerate(f_coreas['observers'].items()): station_id = antenna_id( name, idx) # returns proper station id if possible station = NuRadioReco.framework.station.Station(station_id) if self.__det is None: sim_station = coreas.make_sim_station( station_id, corsika, observer, channel_ids=[0, 1, 2]) else: sim_station = coreas.make_sim_station( station_id, corsika, observer, channel_ids=self.__det.get_channel_ids( self.__det.get_default_station_id())) station.set_sim_station(sim_station) evt.set_station(station) if self.__det is not None: position = observer.attrs['position'] antenna_position = np.zeros(3) antenna_position[0], antenna_position[1], antenna_position[ 2] = -position[1] * units.cm, position[ 0] * units.cm, position[2] * units.cm antenna_position = cs.transform_from_magnetic_to_geographic( antenna_position) if not self.__det.has_station(station_id): self.__det.add_generic_station({ 'station_id': station_id, 'pos_easting': antenna_position[0], 'pos_northing': antenna_position[1], 'pos_altitude': antenna_position[2] }) else: self.__det.add_station_properties_for_event( { 'pos_easting': antenna_position[0], 'pos_northing': antenna_position[1], 'pos_altitude': antenna_position[2] }, station_id, evt.get_run_number(), evt.get_id()) self.__t_per_event += time.time() - t_per_event self.__t += time.time() - t self.__current_input_file += 1 if self.__det is None: yield evt else: self.__det.set_event(evt.get_run_number(), evt.get_id()) yield evt, self.__det
def run(self, detector, output_mode=0): """ Read in a random sample of stations from a CoREAS file. A number of random positions is selected within a certain radius. For each position the closest observer is selected and a simulated event is created for that observer. Parameters ---------- detector: Detector object Detector description of the detector that shall be simulated output_mode: integer (default 0) 0: only the event object is returned 1: the function reuturns the event object, the current inputfilename, the distance between the choosen station and the requested core position, and the area in which the core positions are randomly distributed """ while (self.__current_input_file < len(self.__input_files)): t = time.time() t_per_event = time.time() filesize = os.path.getsize(self.__input_files[self.__current_input_file]) if(filesize < 18456 * 2): # based on the observation that a file with such a small filesize is corrupt self.logger.warning("file {} seems to be corrupt, skipping to next file".format(self.__input_files[self.__current_input_file])) self.__current_input_file += 1 continue corsika = h5py.File(self.__input_files[self.__current_input_file], "r") self.logger.info( "using coreas simulation {} with E={:2g} theta = {:.0f}".format( self.__input_files[self.__current_input_file], corsika['inputs'].attrs["ERANGE"][0] * units.GeV, corsika['inputs'].attrs["THETAP"][0] ) ) positions = [] for i, observer in enumerate(corsika['CoREAS']['observers'].values()): position = observer.attrs['position'] positions.append(np.array([-position[1], position[0], 0]) * units.cm) self.logger.debug("({:.0f}, {:.0f})".format(position[0], position[1])) positions = np.array(positions) max_distance = self.__max_distace if(max_distance is None): max_distance = np.max(np.abs(positions[:, 0:2])) area = np.pi * max_distance ** 2 if(output_mode == 0): n_cores = self.__n_cores * 100 # for output mode 1 we want always n_cores in star pattern. Therefore we generate more core positions to be able to select n_cores in the star pattern afterwards elif(output_mode == 1): n_cores = self.__n_cores else: raise ValueError('output mode {} not defined.'.format(output_mode)) theta = self.__random_generator.rand(n_cores) * 2 * np.pi r = (self.__random_generator.rand(n_cores)) ** 0.5 * max_distance cores = np.array([r * np.cos(theta), r * np.sin(theta), np.zeros(n_cores)]).T zenith, azimuth, magnetic_field_vector = coreas.get_angles(corsika) cs = cstrafo.cstrafo(zenith, azimuth, magnetic_field_vector) positions_vBvvB = cs.transform_from_magnetic_to_geographic(positions.T) positions_vBvvB = cs.transform_to_vxB_vxvxB(positions_vBvvB).T dd = (positions_vBvvB[:, 0] ** 2 + positions_vBvvB[:, 1] ** 2) ** 0.5 ddmax = dd.max() self.logger.info("star shape from: {} - {}".format(-dd.max(), dd.max())) cores_vBvvB = cs.transform_from_magnetic_to_geographic(cores.T) cores_vBvvB = cs.transform_to_vxB_vxvxB(cores_vBvvB).T dcores = (cores_vBvvB[:, 0] ** 2 + cores_vBvvB[:, 1] ** 2) ** 0.5 mask_cores_in_starpattern = dcores <= ddmax if((not np.sum(mask_cores_in_starpattern)) and (output_mode == 1)): # handle special case of no core position being generated within star pattern observer = corsika['CoREAS']['observers'].values()[0] evt = NuRadioReco.framework.event.Event(corsika['inputs'].attrs['RUNNR'], corsika['inputs'].attrs['EVTNR']) # create empty event station = NuRadioReco.framework.station.Station(self.__station_id) sim_station = coreas.make_sim_station(self.__station_id, corsika, observer, detector.get_channel_ids(self.__station_id)) station.set_sim_station(sim_station) evt.set_station(station) yield evt, self.__current_input_file, None, area cores_to_iterate = cores_vBvvB[mask_cores_in_starpattern] if(output_mode == 0): # select first n_cores that are in star pattern if(np.sum(mask_cores_in_starpattern) < self.__n_cores): self.logger.warning("only {0} cores contained in star pattern, returning {0} cores instead of {1} cores that were requested".format(np.sum(mask_cores_in_starpattern), self.__n_cores)) else: cores_to_iterate = cores_vBvvB[mask_cores_in_starpattern][:self.__n_cores] self.__t_per_event += time.time() - t_per_event self.__t += time.time() - t for iCore, core in enumerate(cores_to_iterate): t = time.time() # check if out of bounds distances = np.linalg.norm(core[:2] - positions_vBvvB[:, :2], axis=1) index = np.argmin(distances) distance = distances[index] key = list(corsika['CoREAS']['observers'].keys())[index] self.logger.info( "generating core at ground ({:.0f}, {:.0f}), vBvvB({:.0f}, {:.0f}), nearest simulated station is {:.0f}m away at ground ({:.0f}, {:.0f}), vBvvB({:.0f}, {:.0f})".format( cores[iCore][0], cores[iCore][1], core[0], core[1], distance / units.m, positions[index][0], positions[index][1], positions_vBvvB[index][0], positions_vBvvB[index][1] ) ) t_event_structure = time.time() observer = corsika['CoREAS']['observers'].get(key) evt = NuRadioReco.framework.event.Event(self.__current_input_file, iCore) # create empty event station = NuRadioReco.framework.station.Station(self.__station_id) channel_ids = detector.get_channel_ids(self.__station_id) sim_station = coreas.make_sim_station(self.__station_id, corsika, observer, channel_ids) station.set_sim_station(sim_station) evt.set_station(station) sim_shower = coreas.make_sim_shower(corsika, observer, detector, self.__station_id) evt.add_sim_shower(sim_shower) rd_shower = NuRadioReco.framework.radio_shower.RadioShower(station_ids=[station.get_id()]) evt.add_shower(rd_shower) if(output_mode == 0): self.__t += time.time() - t self.__t_event_structure += time.time() - t_event_structure yield evt elif(output_mode == 1): self.__t += time.time() - t self.__t_event_structure += time.time() - t_event_structure yield evt, self.__current_input_file, distance, area else: self.logger.debug("output mode > 1 not implemented") raise NotImplementedError self.__current_input_file += 1
station = NuRadioReco.framework.station.Station(101) trace = np.zeros((3, N)) trace[1] = pulse trace[2] = pulse sim_station = NuRadioReco.framework.sim_station.SimStation(101) electric_field = NuRadioReco.framework.electric_field.ElectricField( [2]) electric_field.set_trace(sampling_rate=1. / dt, trace=trace) electric_field[efp.azimuth] = 0 electric_field[efp.zenith] = (90 + 45) * units.deg electric_field[efp.ray_path_type] = 'direct' sim_station.add_electric_field(electric_field) sim_station[stnp.zenith] = (90 + 45) * units.deg sim_station.set_is_neutrino() sim_station[stnp.zenith] = 0 station.set_sim_station(sim_station) event.set_station(station) efieldToVoltageConverter.run(event, station, det) channelBandPassFilter.run(event, station, det, passband=[min_freq, max_freq]) trace_bicone = station.get_channel(2).get_trace() SNRp2p_bicone[counter] = (trace_bicone.max() - trace_bicone.min()) / 2. / Vrms after_tunnel_diode = np.abs( triggerSimulator.tunnel_diode(station.get_channel(2)))