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Add detection QE spread for outlier estimation #1139

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merged 2 commits into from
Jul 18, 2023
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FrancaCassol
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@FrancaCassol FrancaCassol commented Jul 12, 2023

Add the detection QE dispersion over the camera (~7%) to estimate the cuts for selecting pixels outliers on the base of the calculated number of pe by the F factor method. In a first step we neglected the ~6-7% dispersion, which is ok for the standard FF intensity but not for filters delivering to very high FF intensities (> 1000 pe/pixel). This ended up with many pixels wrongly set as outliers for the last high intensity points of the filter scan.

@FrancaCassol FrancaCassol requested a review from maxnoe July 17, 2023 09:15
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codecov bot commented Jul 17, 2023

Codecov Report

Patch coverage: 100.00% and no project coverage change.

Comparison is base (c9e4c4f) 73.91% compared to head (4092af3) 73.92%.

Additional details and impacted files
@@           Coverage Diff           @@
##             main    #1139   +/-   ##
=======================================
  Coverage   73.91%   73.92%           
=======================================
  Files         125      125           
  Lines       12548    12550    +2     
=======================================
+ Hits         9275     9277    +2     
  Misses       3273     3273           
Impacted Files Coverage Δ
lstchain/calib/camera/calibration_calculator.py 92.15% <100.00%> (+0.15%) ⬆️

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@maxnoe maxnoe merged commit 3c6e54c into main Jul 18, 2023
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@maxnoe maxnoe deleted the add_qe_dispersion branch July 18, 2023 08:06
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2 participants