CONAN._classes.load_lightcurves.supersample

CONAN._classes.load_lightcurves.supersample#

CONAN._classes.load_lightcurves.supersample(lc_list=None, ss_factor=1, verbose=True)#

Supersample long intergration time of lcs in lc_list. This divides each exposure of the lc into int(ss_factor) subexposures to attain a sampling rate of exp_time/ss_factor. the exp_time is calculated from the time spacing of the data points as np.ceil(np.median(np.diff(t))) e.g. with ss_factor=30, a lc with 30 minute exp_time will be divided into 30 subexposures of 1 minute each. while 2 minute sampling will require ss_factor=15.

Parameters:

  • lc_list (list, str, optional) – list of lc files to supersample. set to “all” to use supersampling for all lc files. Default is None.

  • ss_factor (float, tuple, list, optional) – exposure time of each lc to supersample rounded to the nearest minute. if different for each lc in lc_list, give list with exp_time for each lc. Default is 1 for no supersampling.

  • verbose (bool, optional) – print output. Default is True.

_ss#

list of supersampling objects for each light curve. Default is None for no supersampling.

Type:

list

Examples

To supersample a light curve that has a long cadence of 30mins (0.0208days) to 1 min, 30 points are needed to subdivide each exposure.

>>> lc_obj.supersample( lc_list   = "lc1.dat",
>>>                     ss_factor = 30)
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