Tailcut finder function and script #1325
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Just based on mean pedestal charge in interleaved pedestals, and using tabulated data (and a parametrization of NSB level vs <ped charge>)
Improved docstrings
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@marialainez, @morcuended this is still a draft (I am testing it), but it would be good if you can already comment on the interface, since this is mainly to use by lstosa |
Codecov ReportAttention: Patch coverage is
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## main #1325 +/- ##
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- Coverage 73.52% 73.05% -0.48%
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Files 134 135 +1
Lines 14215 14323 +108
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+ Hits 10451 10463 +12
- Misses 3764 3860 +96 ☔ View full report in Codecov by Sentry. |
…itional NSB needed in the MC. Previous ones were based on the mean pedestal charges, with no exclusion of outliers (pixels or subruns). New ones are based on the medians computed in the current code (& excluding outliers)
…with cleaning settings. This is now doe by the new script lstchain_find_tailcuts.py
…to the old version using mean pedestal chages (and including outliers). New ones are adapted to the new definitions (medians, no outliers) and consistent with the MC productions
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Converted to draft just because I merged all changes in main, which now appear as part of this PR ( :-( ) |
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pixels, but truncating the charge distribution of all pixels (hence biasing the result)
(to those obtained with the proper pixel outlier exclusion in MC)
…e, which characterizes better the right-side tail of the distribution (more relevant for the analysis)
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This is now ready for review; performance results and some further explanations are shown in #1330 |
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Below is the correlation between the outputs of find_tailcuts, picture threshold vs. additional NSB rate, compared to the settings of the recently produced standard MC simulation NSB grid. |
Find adequate cleaning levels (and MC NSB tuning settings) to process a given run, just based on the pixel charges extracted from interleaved pedestal events. See #1330 for some tests of performance.