NuRadioReco.modules.LOFAR.pipelineVisualizer_LOFAR module

This module contains the pipelineVisualizer class for LOFAR.

NuRadioReco.modules.LOFAR.pipelineVisualizer_LOFAR.check_for_good_ant(event, detector)

Create a dictionary which for every station in the event contains a list of antennas which have not been flagged.

class NuRadioReco.modules.LOFAR.pipelineVisualizer_LOFAR.pipelineVisualizer

Bases: object

Creates debug plots from the LOFAR pipeline - This is the pipelineVisualizerTM for LOFAR.

Any significant plots resulting from the pipeline should be added here by creating a function for them, and calling all functions sequentially.

Methods

plot_polarization(event, detector)	Plot the polarization of the electric field.
run(event, detector[, save_dir, ...])	Produce pipeline plots for the given event.
show_direction_plot(event)	Make a comparison of the reconstructed direction per station with the LORA direction.
show_time_fluence_plot(event, detector[, ...])	Plot the antenna positions, marking arrival time by color and pseudofluence by markersize.

begin
end

begin(logger_level=0)

plot_polarization(event, detector)

Plot the polarization of the electric field. This method calculates the stokes parameters of the pulse using get_stokes from framework.electric_field, and determines the polarization angle and degree, plotting them as arrows in the vxB and vxvxB plane. It estimates uncertainties by picking a pure noise value of stokes parameters, propagating through the angle and degree formulas and plotting them as arrows with reduced opacity. Author: Karen Terveer

Parameters:

eventEvent object

The event containing the stations and electric fields.

detectorDetector object

The detector object containing information about the detector.

Returns:

fig_polmatplotlib Figure object

The generated figure object containing the polarization plot.

show_direction_plot(event)

Make a comparison of the reconstructed direction per station with the LORA direction.

Author: Philipp Laub

Parameters:

eventEvent object

The event for which to show the final plots.

Returns:

fig_dirmatplotlib Figure object

The generated figure object containing the direction plot.

show_time_fluence_plot(event, detector, min_number_good_antennas=4)

Plot the antenna positions, marking arrival time by color and pseudofluence by markersize. The reconstructed arrival direction per station is indicated with an arrow.

Author: Philipp Laub

Parameters:

eventEvent object

The event for which to show the final plots.

detectorDetector object

The detector for which to show the final plots.

min_number_good_antennasint, default=4

The minimum number of good antennas that should be present in a station to consider it for the fit.

Returns:

fig_polmatplotlib Figure object

The generated figure object containing the polarization plot.

run(event, detector, save_dir='.', polarization=False, direction=False)

Produce pipeline plots for the given event.

Parameters:

eventEvent object

The event for which to visualize the pipeline.

detectorDetector object

The detector for which to visualize the pipeline.

save_dirstr, optional

The directory to save the plots to. Default is the current directory.

end()