def rate_candidate(self, hdr, candidate, pfd, cache=None):
p0 = pfd.time_vs_phase().sum(axis=0)
p1 = profile_ratings.get_profile(cache, pfd)
return (np.amax(p0)-np.median(p0))/(np.amax(p1)-np.median(p1))
def rate_candidate(self, hdr, candidate, pfd, cache=None):
# Un-dedispersed profile
p0 = pfd.time_vs_phase().sum(axis=0)
p1 = profile_ratings.get_profile(cache, pfd)
return np.std(p0)/np.std(p1)
