NuRadioReco.modules.measured_noise.RNO_G.noiseImporter module

class NuRadioReco.modules.measured_noise.RNO_G.noiseImporter.noiseImporter[source]

Bases: object

Imports recorded traces from RNOG stations.

Methods

begin(noise_folders[, file_pattern, ...])

Parameters:

end

run

begin(noise_folders, file_pattern='*', match_station_id=False, station_ids=None, channel_mapping=None, scramble_noise_file_order=True, log_level=0, random_seed=None, reader_kwargs={})[source]
Parameters:
noise_folders: str or list(str)

Folder(s) containing noise file(s). Search in any subfolder as well.

file_pattern: str

File pattern used to search for directories, (Default: “*”, other examples might be “combined”)

match_station_id: bool

If True, add only noise from stations with the same id. (Default: False)

station_ids: list(int)

Only add noise from those station ids. If None, use any station. (Default: None)

channel_mapping: dict or None

option relevant for MC studies of new station designs where we do not have forced triggers for. The channel_mapping dictionary maps the channel ids of the MC station to the channel ids of the noise data Default is None which is 1-to-1 mapping

scramble_noise_file_order: bool

If True, randomize the order of noise files before reading them. (Default: True)

log_level: logging log level

Override he log level to control verbosity. (Default: logging.NOTSET, ie follow general log level)

random_seed: int

Seed for the random number generator. (Default: None, no fixed seed).

reader_kwargs: dict

Optional arguements passed to readRNOGDataMattak

run(evt, station, det)[source]
end()[source]