Closed saeedsltm closed 1 year ago
Hi, this is mainly because of the data normalization: https://github.com/AI4EPS/PhaseNet/blob/1d7ea66a8f1e68b1284e39e0bf8524079790f1ed/phasenet/data_reader.py#L64
Hi @zhuwq0, Ok, so is there any preferred time window? Should we avoid passing long streams like a day (86400s)?
Hi, the moving window normalization should not be strongly dependent on the window size. The location of the event within the moving window will cause the difference. You can see this paper: https://pubs.geoscienceworld.org/ssa/srl/article-abstract/doi/10.1785/0220230003/620893/A-Mitigation-Strategy-for-the-Prediction
Hi, Thank you very much. I will go through the paper, and so I close this issue.
Hi, When trying to change the input stream length (from 10 min to 1 houre), I'm getting different time and probability of P and S phases. That causes when assocciating phases, in some cases we missed events. I can't undrestand why changing the input stream length would affect picking phases?