CONAN._classes.load_lightcurves =============================== .. toctree:: :hidden: /autoapi/CONAN/_classes/load_lightcurves.add_GP /autoapi/CONAN/_classes/load_lightcurves.add_custom_LC_function /autoapi/CONAN/_classes/load_lightcurves.add_sinusoid /autoapi/CONAN/_classes/load_lightcurves.add_spline /autoapi/CONAN/_classes/load_lightcurves.clip_outliers /autoapi/CONAN/_classes/load_lightcurves.contamination_factors /autoapi/CONAN/_classes/load_lightcurves.detrend_data /autoapi/CONAN/_classes/load_lightcurves.get_LDs /autoapi/CONAN/_classes/load_lightcurves.get_decorr /autoapi/CONAN/_classes/load_lightcurves.lc_baseline /autoapi/CONAN/_classes/load_lightcurves.limb_darkening /autoapi/CONAN/_classes/load_lightcurves.mask_points /autoapi/CONAN/_classes/load_lightcurves.phasecurve /autoapi/CONAN/_classes/load_lightcurves.planet_parameters /autoapi/CONAN/_classes/load_lightcurves.plot /autoapi/CONAN/_classes/load_lightcurves.print /autoapi/CONAN/_classes/load_lightcurves.rescale_data_columns /autoapi/CONAN/_classes/load_lightcurves.save_LCs /autoapi/CONAN/_classes/load_lightcurves.supersample /autoapi/CONAN/_classes/load_lightcurves.transit_depth_variation /autoapi/CONAN/_classes/load_lightcurves.transit_timing_variation /autoapi/CONAN/_classes/load_lightcurves.update_planet_parameters .. py:class:: CONAN._classes.load_lightcurves(file_list=None, data_filepath=None, input_lc=None, filters=None, wl=None, nplanet=1, sort=False, verbose=True, show_guide=False, lamdas=None) lightcurve object to hold lightcurves for analysis :param file_list: List of filenames for the lightcurves. Files must have 9 columns: time,flux,err,xc,xc,xc,xc,xc,xc. where xc are columns that can be used in decorrelating the flux. Arrays of zeroes are put in xc if file contains less than 9 columns. :type file_list: list; :param data_filepath: Filepath where lightcurves files are located. Default is None which implies the data is in the current working directory. :type data_filepath: str; :param input_lc: dictionary of input lightcurves. If provided, it overrides the file_list and data_filepath parameters. Each key is the name of the lightcurve and the value is a numpy array with the lightcurve data. The array must be of shape (N,M) where N is the number of data points and M is the number of columns (>=3). :type input_lc: dict; :param filter: filter for each lightcurve in file_list. if a str is given, it is used for all lightcurves, if None, the default of "V" is used for all. :type filter: list, str, None; :param wl: central wavelength in microns for each lightcurve in file_list. This is only used for plotting transit depth or occultation depth variation as a function of wl. If int or float is given, it is used for all lightcurves. If None, the default of 0.6 is used for all if same filter, or unique random value per filter. :type wl: list, int, float, None; :param nplanet: number of planets in the system. Default is 1. :type nplanet: int; :param sort: if True, sorts the lightcurves based on the median time. Default is False. :type sort: bool; :param verbose: if True, prints out information about the lightcurves. Default is True. :type verbose: bool; :returns: **lc_obj** :rtype: light curve object .. attribute:: _obj_type type of object created. :type: str; .. attribute:: _nplanet number of planets in the system. :type: int; .. attribute:: _fpath filepath where lightcurves files are located. :type: str; .. attribute:: _names list of filenames for the lightcurves. :type: list; .. attribute:: _nphot number of lightcurves. :type: int; .. attribute:: _filters list of filters for each lightcurve. :type: list; .. attribute:: _wl list of central wavelengths for each lightcurve. :type: list; .. attribute:: _filter_shortcuts dictionary of filter shortcuts. :type: dict; .. attribute:: _filnames list of unique filters. :type: list; .. attribute:: _input_lc dictionary of the input lightcurves. :type: dict; .. attribute:: _rms_estimate list of rms estimates for each lightcurve. :type: list; .. attribute:: _jitt_estimate list of jitter estimates for each lightcurve. :type: list; .. rubric:: Examples >>> lc_obj = load_lightcurves(file_list = ["lc1.dat","lc2.dat"], >>> filters = ["V","I"], >>> wl = [0.6,0.8] ) .. py:attribute:: _bases_init .. py:attribute:: _clipped_data .. py:attribute:: _detrended :value: False .. py:attribute:: _filnames .. py:attribute:: _filter_shortcuts .. py:attribute:: _fpath .. py:attribute:: _input_lc .. py:attribute:: _masked_points :value: False .. py:attribute:: _nphot .. py:attribute:: _nplanet :value: 1 .. py:attribute:: _obj_type :value: 'lc_obj' .. py:attribute:: _rescaled_data .. py:attribute:: _show_guide :value: False Methods ------- .. autoapisummary:: CONAN._classes.load_lightcurves.add_GP CONAN._classes.load_lightcurves.add_custom_LC_function CONAN._classes.load_lightcurves.add_sinusoid CONAN._classes.load_lightcurves.add_spline CONAN._classes.load_lightcurves.clip_outliers CONAN._classes.load_lightcurves.contamination_factors CONAN._classes.load_lightcurves.detrend_data CONAN._classes.load_lightcurves.get_LDs CONAN._classes.load_lightcurves.get_decorr CONAN._classes.load_lightcurves.lc_baseline CONAN._classes.load_lightcurves.limb_darkening CONAN._classes.load_lightcurves.mask_points CONAN._classes.load_lightcurves.phasecurve CONAN._classes.load_lightcurves.planet_parameters CONAN._classes.load_lightcurves.plot CONAN._classes.load_lightcurves.print CONAN._classes.load_lightcurves.rescale_data_columns CONAN._classes.load_lightcurves.save_LCs CONAN._classes.load_lightcurves.supersample CONAN._classes.load_lightcurves.transit_depth_variation CONAN._classes.load_lightcurves.transit_timing_variation CONAN._classes.load_lightcurves.update_planet_parameters