Plot horizon distance from ranking statistics

This MR will change the horizon distance plotting program in the DAG: instead of creating one horizon distance plot from reference PSDs, the new program create the horizon distance from the ranking statistic for each template bank bin. The main changes that affect the DAG workflow are summarized below:

• gstlal_inspiral_pipe: change plotting program from gstlal_plot_psd_horizon to gstlal_inspiral_plot_rankingstats_horizon (previously called gstlal_inspiral_plot_psd_horizon which does not accurately describe what it actually does, also see miscellaneous changes below).
• inspiral.py: update the horizon_dist_layer for the new plotting program.
• gstlal_inspiral_summary_page: horizon distances plots are put inside a new UI component (report.ImagePagination) so that all the plots will not be fetched at the same time and can be paginated.
• make the above changes to new style DAG workflow as well.

Miscellaneous changes:

• add new plotting module called horizon.py
• update the gstlal_plot_psd_horizon to use horizon.py module,
• renamed gstlal_inspiral_plot_psd_horizon --> gstlal_inspiral_plot_rankingstats_horizon

Note: this MR depends on gstlal-visualisation/ligo-scald!36 (merged), it's better not to merged before that request has been merged.

gstlal-inspiral/bin/gstlal_inspiral_summary_page

@@ -143,8 +143,8 @@ injrecovery += report.ImageGrid("Effective Spin Accuracy", grid_size=3, footer="
 
 injrecovery += report.ImageGrid("SNR Recovery", grid_size=3, footer="Injected expected SNR vs recovered SNR").glob(os.path.join(opts.glob_path, '*2_SNR_*.png'))
 
-#imgfooter = "This is the distance at which you should see a 1.4 1.4 Msun binary at SNR 8. The first panel shows the time evolution of the horizon distance and the second panel shows the same information in histogram form."
-#injrecovery += report.ImageGrid("Horizon distance", grid_size=1, footer=imgfooter).glob(os.path.join(opts.glob_path, '*HORIZON*.png'))
+imgfooter = "This is the distance at which you should see a 1.4 1.4 Msun binary at SNR 8. The first panel shows the time evolution of the horizon distance and the second panel shows the same information in histogram form."
+injrecovery += report.ImagePagination("Horizon distance", footer=imgfooter).glob(os.path.join(opts.glob_path, 'horizon_distance/*HORIZON*.png'))
 
 #
 # Add injection missed / found content
@@ -367,8 +367,8 @@ tabledata = load_json(glob.glob(f'{opts.glob_path}/*-GSTLAL_INSPIRAL_PLOT_SUMMAR
 summary += report.Table('Search Summary').save(tabledata, opts.webserver_dir+'_lite')
 
 ## Include horizon distance plots
-#imgfooter = "This is the distance at which you should see a 1.4 1.4 Msun binary at SNR 8. The first panel shows the time evolution of the horizon distance and the second panel shows the same information in histogram form."
-#summary += report.ImageGrid("Horizon distance", grid_size=1, footer=imgfooter).glob(os.path.join(opts.glob_path, '*HORIZON*.png'))
+imgfooter = "This is the distance at which you should see a 1.4 1.4 Msun binary at SNR 8. The first panel shows the time evolution of the horizon distance and the second panel shows the same information in histogram form."
+summary += report.ImagePagination("Horizon distance", footer=imgfooter).glob(os.path.join(opts.glob_path, 'horizon_distance/*HORIZON*.png'))
 
 ## Include found/missed as function of decisive characteristic SNR
 summary += report.Header("Found / Missed Expected SNR")