ObservationStats

class gammapy.data.ObservationStats(n_on=None, n_off=None, a_on=None, a_off=None, obs_id=None, livetime=None, alpha=None, gamma_rate=None, bg_rate=None)[source]

Bases: gammapy.stats.Stats

Observation statistics.

Class allowing to summarize observation (DataStoreObservation) statistics

Parameters:

n_on : int

Number of on events

n_off : int

Number of off events

a_on : float

Relative background exposure of the on region

a_off : float

Relative background exposure of the off region

obs_id : int

ID of the observation

livetime : float

Livetime of the observation

alpha : float

Normalisation between the on and the off exposure

bg_rate : float

Background rate (/min)

gamma_rate : float

Gamma rate (/min)

Attributes Summary

alpha Alpha (on / off exposure ratio)
sigma Li-Ma significance for observation statistics (float).

Methods Summary

from_obs(obs, bg_estimate) Create from DataStoreObservation.
stack(stats_list) Stack (concatenate) list of ObservationStats.
to_dict() Data as an OrderedDict.

Attributes Documentation

alpha

Alpha (on / off exposure ratio)

Override member function from Stats to take into account weighted alpha by number of Off events

sigma

Li-Ma significance for observation statistics (float).

Methods Documentation

classmethod from_obs(obs, bg_estimate)[source]

Create from DataStoreObservation.

Parameters:

obs : DataStoreObservation

IACT data store observation

bg_estimate : BackgroundEstimate

Background estimate
classmethod stack(stats_list)[source]

Stack (concatenate) list of ObservationStats.

Parameters:

stats_list : list
Returns:

total_stats : ObservationStats

Statistics for stacked observation
to_dict()[source]

Data as an OrderedDict.

This is useful for serialisation or putting the info in a table.