LightCurveEstimator¶
-
class
gammapy.estimators.
LightCurveEstimator
(time_intervals=None, source=0, energy_range=<Quantity [ 1., 10.] TeV>, atol='1e-6 s', norm_min=0.2, norm_max=5, norm_n_values=11, norm_values=None, sigma=1, sigma_ul=2, reoptimize=False)[source]¶ Bases:
gammapy.estimators.flux.FluxEstimator
Compute light curve.
The estimator will fit the source model component to datasets in each of the time intervals provided.
If no time intervals are provided, the estimator will use the time intervals defined by the datasets GTIs.
To be included in the estimation, the dataset must have their GTI fully overlapping a time interval.
- Parameters
- time_intervalslist of
astropy.time.Time
Start and stop time for each interval to compute the LC
- sourcestr
For which source in the model to compute the flux points. Default is 0
- energy_rangetuple of
Quantity
Energy range on which to compute the flux. Default is 1-10 TeV
- atol
Quantity
Tolerance value for time comparison with different scale. Default 1e-6 sec.
- norm_minfloat
Minimum value for the norm used for the fit statistic profile evaluation.
- norm_maxfloat
Maximum value for the norm used for the fit statistic profile evaluation.
- norm_n_valuesint
Number of norm values used for the fit statistic profile.
- norm_values
numpy.ndarray
Array of norm values to be used for the fit statistic profile.
- sigmaint
Sigma to use for asymmetric error computation.
- sigma_ulint
Sigma to use for upper limit computation.
- reoptimizebool
reoptimize other parameters during fit statistic scan?
- time_intervalslist of
Attributes Summary
Methods Summary
estimate_time_bin_flux
(self, datasets, …)Estimate flux point for a single energy group.
run
(self, datasets[, steps])Run light curve extraction.
Attributes Documentation
-
e_ref
¶
-
energy_range
¶
Methods Documentation
-
estimate_time_bin_flux
(self, datasets, time_interval, steps='all')[source]¶ Estimate flux point for a single energy group.
- Parameters
- datasets
Datasets
the list of dataset object
- time_intervalastropy.time.Time`
Start and stop time for each interval
- stepslist of str
Which steps to execute. Available options are:
“err”: estimate symmetric error.
“errn-errp”: estimate asymmetric errors.
“ul”: estimate upper limits.
“ts”: estimate ts and sqrt(ts) values.
“norm-scan”: estimate likelihood profiles.
By default all steps are executed.
- datasets
- Returns
- resultdict
Dict with results for the flux point.
-
run
(self, datasets, steps='all')[source]¶ Run light curve extraction.
Normalize integral and energy flux between emin and emax.
- Parameters
- datasetslist of
SpectrumDataset
orMapDataset
Spectrum or Map datasets.
- stepslist of str
Which steps to execute. Available options are:
“err”: estimate symmetric error.
“errn-errp”: estimate asymmetric errors.
“ul”: estimate upper limits.
“ts”: estimate ts and sqrt(ts) values.
“norm-scan”: estimate fit statistic profiles.
By default all steps are executed.
- datasetslist of
- Returns
- lightcurve
LightCurve
the Light Curve object
- lightcurve