Difference between revisions of "CSEP Minutes 08-07-2019"
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'''[[CSEP_Working_Group|CSEP Working Group Home Page]]<br>''' | '''[[CSEP_Working_Group|CSEP Working Group Home Page]]<br>''' | ||
| − | ''Participants:'' W. Savran | + | ''Participants:'' W. Savran, A. Michael, M. Werner, D. Rhoades |
| + | |||
| + | '''CSEP Evaluations''' | ||
| + | * finite fault uncertainty 3.0% error in source model has equivalent error to 1 Mw unit when thinking about slip. | ||
| + | * time-dependent magnitude of completeness during first 2 days of the sequence. page 2016 and hardebeck, originally from anges helmstetter. | ||
| + | * place dots at the end of the bin and bin daily, hourly for days, log-scale (y-axis) or log-log with logarithmically spaced bins. | ||
| + | * 1 WC radius around centroid of the sequence this can come from Comcat. | ||
| + | * consider using jet for the conditional rate density plots. | ||
| + | * crd: increase the magnitude greater that mw 4.0. | ||
| + | * m-test: magnitude of completeness plots, compute conditional on the number of events. | ||
| + | * s-test: compute conditional on the number of events like the m-test, spatial map of the likelihood scores. | ||
| + | * for stat_sei: need plots to illustrate what we are doing visually. | ||
| + | * b-value: should look conditionally on event numbers. | ||
| + | * inter event distance change from 2d to 3d. | ||
| + | * srl special issue with ucerf3 forecasts. are simulation results considered data. | ||
Latest revision as of 20:09, 7 August 2019
Participants: W. Savran, A. Michael, M. Werner, D. Rhoades
CSEP Evaluations
- finite fault uncertainty 3.0% error in source model has equivalent error to 1 Mw unit when thinking about slip.
- time-dependent magnitude of completeness during first 2 days of the sequence. page 2016 and hardebeck, originally from anges helmstetter.
- place dots at the end of the bin and bin daily, hourly for days, log-scale (y-axis) or log-log with logarithmically spaced bins.
- 1 WC radius around centroid of the sequence this can come from Comcat.
- consider using jet for the conditional rate density plots.
- crd: increase the magnitude greater that mw 4.0.
- m-test: magnitude of completeness plots, compute conditional on the number of events.
- s-test: compute conditional on the number of events like the m-test, spatial map of the likelihood scores.
- for stat_sei: need plots to illustrate what we are doing visually.
- b-value: should look conditionally on event numbers.
- inter event distance change from 2d to 3d.
- srl special issue with ucerf3 forecasts. are simulation results considered data.
