locate_signal.py File Reference

main() shows how to use cross_correlate() and plot_correlation_map(). More...

Go to the source code of this file.

Functions
pl.DataFrame	supply_azimuthal_angle_masks (pl.DataFrame skymaps)
	Supplies azimuth masks to any sky map (eg time delay maps or correlation maps)
pl.DataFrame	combine_time_delay_maps_and_waveforms (pl.DataFrame masks_and_skymaps, pl.DataFrame waveforms)
	Prepares a big table that has all the column needed by cross_correlate.
pl.DataFrame	cross_correlate (pl.DataFrame big_frame)
	Compute the zero-centered normalized cross correlation (ZNCC) and makes correlation skymaps.
[float, float]	_get_true_direction (ROOT.pueo.Dataset dataset)
	Returns the true signal direction.
None	plot_correlation_map (pl.DataFrame correlation_frame, str plot_name, true_phi=None, true_theta=None)
	Plots the reult of cross_correlate.

Detailed Description

main() shows how to use cross_correlate() and plot_correlation_map().

Summing over all antenna pairs, we have

We can see that by masking the individual correlation maps, the total correlation map is less noisy.

Definition in file locate_signal.py.