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[change] minSlope value decreased due to difference in slope calculation

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This commit is contained in:
Darius Arnold 2018-07-17 11:37:29 +02:00
parent c308415aa5
commit 02873938cb
2 changed files with 4 additions and 4 deletions
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4
tests/test_autopickstation/autoPyLoT_global_taupy_false.in
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@ -91,9 +91,9 @@ ARH #algoS# %choose algo
#quality assessment#
4.0 8.0 12.0 16.0 #timeerrorsP# %discrete time errors [s] corresponding to picking weights [0 1 2 3] for P
4.0 8.0 12.0 16.0 #timeerrorsS# %discrete time errors [s] corresponding to picking weights [0 1 2 3] for S
1.0 #minAICPslope# %below this slope [counts/s] the initial P pick is rejected
0.01 #minAICPslope# %below this slope [counts/s] the initial P pick is rejected
1.1 #minAICPSNR# %below this SNR the initial P pick is rejected
1.0 #minAICSslope# %below this slope [counts/s] the initial S pick is rejected
0.01 #minAICSslope# %below this slope [counts/s] the initial S pick is rejected
1.1 #minAICSSNR# %below this SNR the initial S pick is rejected
12.0 #minsiglength# %length of signal part for which amplitudes must exceed noiselevel [s]
1.1 #noisefactor# %noiselevel*noisefactor=threshold

4
tests/test_autopickstation/autoPyLoT_global_taupy_true.in
View File

@ -91,9 +91,9 @@ ARH #algoS# %choose algo
#quality assessment#
4.0 8.0 12.0 16.0 #timeerrorsP# %discrete time errors [s] corresponding to picking weights [0 1 2 3] for P
4.0 8.0 12.0 16.0 #timeerrorsS# %discrete time errors [s] corresponding to picking weights [0 1 2 3] for S
1.0 #minAICPslope# %below this slope [counts/s] the initial P pick is rejected
0.01 #minAICPslope# %below this slope [counts/s] the initial P pick is rejected
1.1 #minAICPSNR# %below this SNR the initial P pick is rejected
1.0 #minAICSslope# %below this slope [counts/s] the initial S pick is rejected
0.01 #minAICSslope# %below this slope [counts/s] the initial S pick is rejected
1.1 #minAICSSNR# %below this SNR the initial S pick is rejected
12.0 #minsiglength# %length of signal part for which amplitudes must exceed noiselevel [s]
1.1 #noisefactor# %noiselevel*noisefactor=threshold