Bases: astropy.stats.FitnessFunc
Bayesian blocks fitness for regular events
This is for data which has a fundamental “tick” length, so that all measured values are multiples of this tick length. In each tick, there are either zero or one counts.
Parameters: | dt : float
p0 : float (optional)
ncp_prior : float (optional)
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Methods Summary
fitness(T_k, N_k) | |
validate_input(t, x, sigma) |
Methods Documentation