uwacan.analysis.ShipLevel

class ShipLevel(data, attrs=None)

Bases: DatasetWrap

Calculates and stores measured ship levels.

This class has all functionality to analyze ship transits and post-process the resulting radiated noise levels. The analysis methods are all implemented as classmethods with the analyze_transits prefix.

Parameters:

dataxarray.Dataset

The dataset with measurement results. This dataset must have a “source_power” variable.

Methods

analyze_transits(*transits[, filterbank, ...])	Analyze ship transits to estimate source power and related metrics.
analyze_transits_in_angle_segments(*transits)	Analyze ship transits in constant angle segments to estimate source power and related metrics.
level_average(dims, **kwargs)	Level-wise average of data.
meets_snr_threshold(threshold)	Check where the measurement meets a specific SnR threshold.
power_average([dim])	Power-wise average of data.

Inherited methods

from_dataset(dataset, **kwargs)	Instantiate the class from a dataset.
groupby(group)
isel([indexers, drop, missing_dims, drop_allnan])	Select a subset of the data from the coordinate indices.
load(path[, lookup_class])	Load data from a Zarr file and optionally restore the original class.
make_figure(**kwargs)	Create a plotly figure, styled for this data.
save(path[, append_dim])	Save the data to a Zarr file at the specified path.
sel([indexers, method, tolerance, drop, ...])	Select a subset of the data from the coordinate labels.
where(cond[, other, drop])	Filter elements from this object according to a condition.

Attributes

attrs	Attributes stored in the data.
coords	The coordinate (dimension) arrays for this data.
data	The contained data.
dims	The dimensions of this data.
received_level	The received level during the transits.
received_power	The received power during the transits.
sizes	Mapping from dimension names to lengths.
snr	The signal to noise ratio in the measurement, in dB.
source_level	The source level of the transits.
source_power	The source power of the transits.