In https://github.com/PPPLDeepLearning/plasma-python/pull/22 we have applied clip(0, infinity) in the beginning of Normalizer.apply method for all normalizers, now, we also clip the signal further to the statistical range clip(-N,N) for all *Var* normalizers (Var, MeanVar, AveragingVar)
The value of N which defines the statistical range is defined in the config file, and is a tunable parameter.
The results for tuning N for Var normalizer (only) follow:
This PR extends https://github.com/PPPLDeepLearning/plasma-python/pull/22
In https://github.com/PPPLDeepLearning/plasma-python/pull/22 we have applied
clip(0, infinity)in the beginning ofNormalizer.applymethod for all normalizers, now, we also clip the signal further to the statistical rangeclip(-N,N)for all*Var*normalizers (Var,MeanVar,AveragingVar)The value of
Nwhich defines the statistical range is defined in the config file, and is a tunable parameter.The results for tuning N for
Varnormalizer (only) follow: