NuRadioReco.framework.sim_channel module

class NuRadioReco.framework.sim_channel.SimChannel(channel_id, shower_id, ray_tracing_id, channel_group_id=None)

Bases: 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

Methods

apply_time_shift(delta_t[, silent])	Uses the fourier shift theorem to apply a time shift to the trace Note that this is a cyclic shift, which means the trace will wrap around, which might lead to problems, especially for large time shifts.
get_filtered_trace(passband[, filter_type, ...])	Returns the trace after applying a filter to it.
get_group_id()	channel group id If no group id is specified, the channel id is returned.
get_number_of_samples()	returns the number of samples in the time domain
get_sampling_rate()	returns the sampling rate of the trace
get_trace()	returns the time trace.
get_unique_identifier()	returns a unique identifier consisting of the tuple channel_id, shower_id and ray_tracing_id
set_frequency_spectrum(frequency_spectrum, ...)	Sets the frequency spectrum
set_trace(trace, sampling_rate)	Sets the time trace

add_trace_start_time
deserialize
get_frequencies
get_frequency_spectrum
get_hilbert_envelope
get_hilbert_envelope_mag
get_id
get_parameter
get_parameters
get_ray_tracing_solution_id
get_shower_id
get_times
get_trace_start_time
has_parameter
resample
serialize
set_parameter
set_trace_start_time

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.

Methods

apply_time_shift(delta_t[, silent])	Uses the fourier shift theorem to apply a time shift to the trace Note that this is a cyclic shift, which means the trace will wrap around, which might lead to problems, especially for large time shifts.
get_filtered_trace(passband[, filter_type, ...])	Returns the trace after applying a filter to it.
get_group_id()	channel group id If no group id is specified, the channel id is returned.
get_number_of_samples()	returns the number of samples in the time domain
get_sampling_rate()	returns the sampling rate of the trace
get_trace()	returns the time trace.
get_unique_identifier()	returns a unique identifier consisting of the tuple channel_id, shower_id and ray_tracing_id
set_frequency_spectrum(frequency_spectrum, ...)	Sets the frequency spectrum
set_trace(trace, sampling_rate)	Sets the time trace

add_trace_start_time
deserialize
get_frequencies
get_frequency_spectrum
get_hilbert_envelope
get_hilbert_envelope_mag
get_id
get_parameter
get_parameters
get_ray_tracing_solution_id
get_shower_id
get_times
get_trace_start_time
has_parameter
resample
serialize
set_parameter
set_trace_start_time

get_shower_id()

get_ray_tracing_solution_id()

get_unique_identifier()

returns a unique identifier consisting of the tuple channel_id, shower_id and ray_tracing_id

serialize(save_trace)

deserialize(data_pkl)

add_trace_start_time(start_time)

apply_time_shift(delta_t, silent=False)

Uses the fourier shift theorem to apply a time shift to the trace Note that this is a cyclic shift, which means the trace will wrap around, which might lead to problems, especially for large time shifts.

Parameters:

delta_t: float

Time by which the trace should be shifted

silent: boolean (default:False)

Turn off warnings if time shift is larger than 10% of trace length Only use this option if you are sure that your trace is long enough to acommodate the time shift

get_filtered_trace(passband, filter_type='butter', order=10, rp=None)

Returns the trace after applying a filter to it. This does not change the stored trace.

Parameters:

passband: list of floats

lower and upper bound of the filter passband

filter_type: string

type of the applied filter. Options are rectangular, butter and butterabs

order: int

Order of the Butterworth filter, if the filter types butter or butterabs are chosen

get_frequencies()

get_frequency_spectrum()

get_group_id()

channel group id If no group id is specified, the channel id is returned. This allows using modules that use the group_id feature also on detector setups that don’t use this feature.

get_hilbert_envelope()

get_hilbert_envelope_mag()

get_id()

get_number_of_samples()

returns the number of samples in the time domain

Returns:

n_samples: int

number of samples in time domain

get_parameter(key)

get_parameters()

get_sampling_rate()

returns the sampling rate of the trace

Returns:

sampling_rate: float

sampling rate, i.e., the inverse of the bin width

get_times()

get_trace()

returns the time trace.

If the frequency spectrum was modified before, an ifft is performed automatically to have the time domain representation up to date.

Returns:

trace: np.array of floats

the time trace

get_trace_start_time()

has_parameter(key)

resample(sampling_rate)

set_frequency_spectrum(frequency_spectrum, sampling_rate)

Sets the frequency spectrum

Parameters:

frequency_spectrumnp.array of floats

The frequency spectrum

sampling_ratefloat or str

The sampling rate of the trace, i.e., the inverse of the bin width. If sampling_rate=”same”, sampling rate is not changed (requires previous initialisation).

set_parameter(key, value)

set_trace(trace, sampling_rate)

Sets the time trace

Parameters:

tracenp.array of floats

The time series

sampling_ratefloat or str

The sampling rate of the trace, i.e., the inverse of the bin width. If sampling_rate=”same”, sampling rate is not changed (requires previous initialisation).

set_trace_start_time(start_time)