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The values in dstore['mean_rates_by_src'] and the corresponding exports in mean_rates_by_src-0_<id>.csv are listed as annual frequencies of exceedance (afoe), but have not been scaled according to the investigation time. In the attached test with just one source, we see that the per-source afoes are larger than the total afoes for the job. When divided by the investigation time, these values match.
The values in
dstore['mean_rates_by_src']
and the corresponding exports inmean_rates_by_src-0_<id>.csv
are listed as annual frequencies of exceedance (afoe), but have not been scaled according to the investigation time. In the attached test with just one source, we see that the per-source afoes are larger than the total afoes for the job. When divided by the investigation time, these values match.python check_output_rates.py <jobid>
Total AFE, Source AFE, (Source AFE)/inv_time
0.002012847922742367, 0.10064237505242538, 0.0020128475010485077
0.0014865562552586198, 0.07432783823037965, 0.0014865567646075932
0.0010888538090512156, 0.054442667412398005, 0.00108885334824796
0.0007903604418970644, 0.03951800124227541, 0.0007903600248455083
0.0005677588633261621, 0.02838791983081285, 0.000567758396616257
0.00040276438812725246, 0.02013819598827727, 0.0004027639197655454
0.0002812264719977975, 0.01406133353160726, 0.00028122667063214523
...
job.zip
check_output_rates.py.zip
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