def _process_current_day(
self, light_curve_data_day: LightCurve, queryable_criteria: int,
days_since_last_observation: int, telescope_names: list,
telescope_sizes: list, spectroscopic_snr: int,
min_available_points: int = 4, **kwargs):
"""
Processes data for current day
Parameters
----------
light_curve_data_day
An instance of LightCurve class
queryable_criteria
Criteria to determine if an obj is queryable.
1 -> r-band cut on last measured photometric point.
2 -> last obs was further than a given limit,
use Bazin estimate of flux today. Otherwise, use
the last observed point.
days_since_last_observation
Day since last observation to consider for spectroscopic
follow-up without the need to extrapolate light curve.
telescope_names
Names of the telescopes under consideration for spectroscopy.
Only used if "get_cost == True".
telescope_sizes
Primary mirrors diameters of potential spectroscopic telescopes.
Only used if "get_cost == True".
spectroscopic_snr
SNR required for spectroscopic follow-up.
kwargs
Any input required by ExpTimeCalc.findexptime function.
min_available_points
minimum number of survived points
"""
photo_flag = (
light_curve_data_day.photometry['mjd'].values <= self._today)
if np.sum(photo_flag) > min_available_points:
light_curve_data_day.photometry = light_curve_data_day.photometry[
photo_flag]
light_curve_data_day.fit_bazin_all()
if (len(light_curve_data_day.bazin_features) > 0 and
'None' not in light_curve_data_day.bazin_features):
light_curve_data_day.queryable = self._check_queryable(
light_curve_data_day, queryable_criteria,
days_since_last_observation)
light_curve_data_day = self._update_queryable_if_get_cost(
light_curve_data_day, telescope_names, telescope_sizes,
spectroscopic_snr, **kwargs)
light_curve_data_day.queryable = bool(sum(get_query_flags(
light_curve_data_day, telescope_names
)))
return light_curve_data_day
return None
def _process_each_light_curve(
self,
light_curve_data: LightCurve,
queryable_criteria: int,
days_since_last_observation: int,
telescope_names: list,
telescope_sizes: list,
spectroscopic_snr: int,
kwargs: dict,
min_available_points: int = 5) -> Union[LightCurve, None]:
"""
Processes each light curve files.
Parameters
----------
light_curve_data: resspect.LightCurve
An instance of LightCurve class
queryable_criteria: int
Criteria to determine if an obj is queryable.
1 -> r-band cut on last measured photometric point.
2 -> last obs was further than a given limit,
use Bazin estimate of flux today. Otherwise, use
the last observed point.
days_since_last_observation: int
Day since last observation to consider for spectroscopic
follow-up without the need to extrapolate light curve.
telescope_names: list
Names of the telescopes under consideration for spectroscopy.
Only used if "get_cost == True".
telescope_sizes: list
Primary mirrors diameters of potential spectroscopic telescopes.
Only used if "get_cost == True".
spectroscopic_snr: int
SNR required for spectroscopic follow-up.
kwargs: dict (optional)
Any input required by ExpTimeCalc.findexptime function.
min_available_points: int (optional)
minimum number of survived points. Default is 5.
"""
photo_flag = light_curve_data.photometry['mjd'].values <= self._today
if sum(photo_flag) >= min_available_points:
light_curve_data.photometry = light_curve_data.photometry[
photo_flag]
light_curve_data.fit_bazin_all()
if (len(light_curve_data.bazin_features) > 0
and 'None' not in light_curve_data.bazin_features):
light_curve_data.queryable = self._check_queryable(
light_curve_data, queryable_criteria,
days_since_last_observation)
light_curve_data = self._update_queryable_if_get_cost(
light_curve_data, telescope_names, telescope_sizes,
spectroscopic_snr, kwargs)
light_curve_data.queryable = bool(
sum(get_query_flags(light_curve_data, telescope_names)))
return light_curve_data
return None
