def get_lim_mjds(self, raw_data_dir: str) -> list:
"""
Get minimum and maximum MJD for complete sample.
This function is not necessary if you are working with
SNPCC data. The values are hard coded in the class.
Parameters
----------
raw_data_dir: str
Complete path to raw data directory.
Returns
-------
limits: list
List of extreme MJDs for entire sample: [min_MJD, max_MJD].
"""
files_list = _get_files_list(raw_data_dir, 'DES_SN')
# store MJDs
min_day = []
max_day = []
for each_file in progressbar.progressbar(files_list):
light_curve_data = LightCurve()
light_curve_data.load_snpcc_lc(
os.path.join(raw_data_dir, each_file))
min_day.append(min(light_curve_data.photometry['mjd'].values))
max_day.append(max(light_curve_data.photometry['mjd'].values))
self.min_epoch = min(min_day)
self.max_epoch = max(max_day)
return [min(min_day), max(max_day)]
def _get_current_sample_features(self, file_name: str, raw_data_dir: str,
queryable_criteria: int,
days_since_observation: int,
telescope_names: list,
telescope_sizes: list,
spec_SNR: int) -> LightCurve:
"""
Reads a SNPCC file and updates time domain features
Parameters
----------
file_name
SNPCC file name
raw_data_dir: str
Complete path to raw data directory
queryable_criteria: int [1 or 2] (optional)
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.
Default is 1.
days_since_observation: int (optional)
Day since last observation to consider for spectroscopic
follow-up without the need to extrapolate light curve.
Only used if "queryable_criteria == 2". Default is 2.
telescope_names: list (optional)
Names of the telescopes under consideration for spectroscopy.
Only used if "get_cost == True".
Default is ["4m", "8m"].
telescope_sizes: list (optional)
Primary mirrors diameters of potential spectroscopic telescopes.
Only used if "get_cost == True".
Default is [4, 8].
spec_SNR: float (optional)
SNR required for spectroscopic follow-up. Default is 10.
"""
light_curve_data = LightCurve()
light_curve_data.load_snpcc_lc(os.path.join(raw_data_dir, file_name))
light_curve_data = self._process_each_light_curve(
light_curve_data, queryable_criteria, days_since_observation,
telescope_names, telescope_sizes, spec_SNR, self._kwargs)
return light_curve_data
