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qcd-public
law-analysis
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1eeeb00b
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1eeeb00b
authored
4 years ago
by
Klaus Rabbertz
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Added comment lines for outlier test
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a4ca1529
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@@ -45,6 +45,20 @@ weights = True
#> restrict merge to only certain columns: e.g. drop channel breakdown for performance
# columns = ['tot_scale01', 'tot_scale02', 'tot_scale03', 'tot_scale04', 'tot_scale05', 'tot_scale06', 'tot_scale07']
# The outlier rejection is controlled by two numbers:
# - The threshold (something like a deviation from the mean in units of sigma;
# but computed in terms of the inter-quantile distances).
# Lowering this value will flag more points as outliers (default = 4).
# - The highest fraction of points that are allowed to be removed.
# If step 1 flags too many points in a bin, adjust it dynamically to always stay below this fraction.
# This is a safety feature to avoid rejecting too many points (default = 0.05 = 5%).
#
# instead of ~4 sigma, start flagging at ~3 sigma
#trim = (4, 0.05)
#trim = (4, 0.08)
#trim = (3, 0.05)
#trim = (3, 0.08)
# By default do not use the option below to allow a better suppression of outliers.
# However, if order independence is important like when cross checking two identical
# NNLOJET inputs against each other, e.g. from a fixed- vs. flexible-scale grid comparison,
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