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usage_plot_nsn_metric_WFD_summary.md

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Usage: plot_nsn_metric_WFD_summary.py [options]

Display NSN metric results for WFD fields

Options:
  -h, --help            show this help message and exit
  --dirFile=DIRFILE     file directory [/sps/lsst/users/gris/MetricOutput]
  --nside=NSIDE         nside for healpixels [64]
  --fieldType=FIELDTYPE
                        field type - DD, WFD, Fake [WFD]
  --nPixelsFile=NPIXELSFILE
                        file with the total number of pixels per obs.
                        strat.[ObsPixels_fbs14_nside_64.npy]
  --listdb=LISTDB       list of dbnames to process
                        [plot_scripts/input/WFD_test.csv]
  --tagbest=TAGBEST     tag for the best OS [snpipe_a]

Examples

  • Plot the (NSN,zlim) results for files located in MetricOutput generated with nside=64 for a faint supernova for WFD surveys. Let us suppose that the metric has been run on the following OS: alt_base_v1.6_10yrs,baseline_nexp1_v1.6_10yrs,baseline_v1.4_10yrs,baseline_v1.5_10yrs and that output files are located in ../Files. Then we have to generate a csv file (WFD.csv) that looks like:

    dbName,plotName,color,marker

    alt_base_v1.6_10yrs,alt_base,b,*

    baseline_nexp1_v1.6_10yrs,baseline_1.6,r,s

    baseline_v1.4_10yrs,baseline_1.4,b,s

    baseline_v1.5_10yrs,baseline_1.5,g,s

    • python plot_scripts/metrics/plot_nsn_metric_WFD_summary.py --dirFile ../Files --listdb WFD_test.csv
    • This command should display a summary plot (NSN, zlim) that will look like

  • A ranking of observing strategies should also be available:
    dbName nsn rank
    baseline_v1.5_10yrs 57815 1
    baseline_nexp1_v1.6_10yrs 51411 2
    baseline_v1.4_10yrs 45157 3
    alt_base_v1.6_10yrs 42888 4