def test_from_gti_time_axis():
filename = "$GAMMAPY_DATA/hess-dl3-dr1/data/hess_dl3_dr1_obs_id_020136.fits.gz"
filename = make_path(filename)
gti = GTI.read(filename)
axis = TimeMapAxis.from_gti(gti)
expected = Time(53090.123451203704, format="mjd", scale="tt")
assert_time_allclose(axis.time_min[0], expected)
assert axis.nbin == 1
def run(self, datasets):
"""Run light curve extraction.
Normalize integral and energy flux between emin and emax.
Parameters
----------
datasets : list of `~gammapy.datasets.SpectrumDataset` or `~gammapy.datasets.MapDataset`
Spectrum or Map datasets.
Returns
-------
lightcurve : `~gammapy.estimators.FluxPoints`
Light curve flux points
"""
datasets = Datasets(datasets)
if self.time_intervals is None:
gti = datasets.gti
else:
gti = GTI.from_time_intervals(self.time_intervals)
gti = gti.union(overlap_ok=False, merge_equal=False)
rows = []
valid_intervals = []
for t_min, t_max in progress_bar(gti.time_intervals,
desc="Time intervals"):
datasets_to_fit = datasets.select_time(time_min=t_min,
time_max=t_max,
atol=self.atol)
if len(datasets_to_fit) == 0:
log.info(
f"No Dataset for the time interval {t_min} to {t_max}. Skipping interval."
)
continue
valid_intervals.append([t_min, t_max])
fp = self.estimate_time_bin_flux(datasets=datasets_to_fit)
for name in ["counts", "npred", "npred_null"]:
fp._data[name] = self.expand_map(fp._data[name],
dataset_names=datasets.names)
rows.append(fp)
if len(rows) == 0:
raise ValueError(
"LightCurveEstimator: No datasets in time intervals")
gti = GTI.from_time_intervals(valid_intervals)
axis = TimeMapAxis.from_gti(gti=gti)
return FluxPoints.from_stack(
maps=rows,
axis=axis,
)