jacscanomaly.CandidateCriteria

class jacscanomaly.CandidateCriteria(min_dchi2=None, min_n_eff=None, min_n_contrib=None, min_n_window=None, min_longest_run=None, max_peak_frac=None)[source]

Quality criteria used to accept/reject anomaly candidates.

All thresholds are optional. Any criterion set to None is ignored.

Parameters:

min_dchi2 (float | None)
min_n_eff (float | None)
min_n_contrib (int | None)
min_n_window (int | None)
min_longest_run (int | None)
max_peak_frac (float | None)

__init__(min_dchi2=None, min_n_eff=None, min_n_contrib=None, min_n_window=None, min_longest_run=None, max_peak_frac=None)

Parameters:

min_dchi2 (float | None)
min_n_eff (float | None)
min_n_contrib (int | None)
min_n_window (int | None)
min_longest_run (int | None)
max_peak_frac (float | None)

Return type:

None

Methods

`__init__`([min_dchi2, min_n_eff, ...])
`accepts`(*, dchi2, quality)

Attributes

`max_peak_frac`
`min_dchi2`
`min_longest_run`
`min_n_contrib`
`min_n_eff`
`min_n_window`