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New function to derive onset quality classes and to plot them if desired.

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Ludger Küperkoch
2017-07-31 12:04:03 +02:00
parent f86f33b22f
commit 4244c4209b
3 changed files with 153 additions and 3 deletions
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4
inputs/autoPyLoT_local.in
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@@ -80,8 +80,8 @@ ARH #algoS# %choose algorithm for S-onset
0.2 #fmpickwin# %pick window around P onset for calculating zero crossings
%quality assessment%
#inital AIC onset#
0.01 0.02 0.04 0.08 #timeerrorsP# %discrete time errors [s] corresponding to picking weights [0 1 2 3] for P
0.04 0.08 0.16 0.32 #timeerrorsS# %discrete time errors [s] corresponding to picking weights [0 1 2 3] for S
0.05 0.10 0.20 0.40 #timeerrorsP# %discrete time errors [s] corresponding to picking weights [0 1 2 3] for P
0.10 0.20 0.40 0.80 #timeerrorsS# %discrete time errors [s] corresponding to picking weights [0 1 2 3] for S
4 #minAICPslope# %below this slope [counts/s] the initial P pick is rejected
1.2 #minAICPSNR# %below this SNR the initial P pick is rejected
2 #minAICSslope# %below this slope [counts/s] the initial S pick is rejected