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grss.fit.fit_optical.get_optical_obs

grss.fit.fit_optical.get_optical_obs#

grss.fit.fit_optical.get_optical_obs(body_id, optical_obs_file=None, t_min_tdb=None, t_max_tdb=None, debias_lowres=True, deweight=True, eliminate=False, num_obs_per_night=5, verbose=False, accept_weights=False)#

Assemble the optical observations for a given body into an array for an orbit fit.

Parameters:

  • body_id (str/int) – Target id, numbers are interpreted as asteroids, append ‘P’ for comets, start with comet type and a ‘/’ for comet designations

  • optical_obs_file (str, optional) – Filepath to the optical observations file, by default None

  • t_min_tdb (float, optional) – Minimum time (MJD TDB) for observations to be included, by default None

  • t_max_tdb (float, optional) – Maximum time (MJD TDB) for observations to be included, by default None

  • debias_lowres (bool, optional) – Flag to debias the observations using the low resolution scheme, by default False

  • deweight (bool, optional) – Flag to deweight the observations, by default True

  • eliminate (bool, optional) – Flag to eliminate too many observations from the same night, by default False

  • num_obs_per_night (int, optional) – Effective/Maximum number of effective observations per night, by default 5

  • verbose (bool, optional) – Flag to print out information about the observations, by default False

  • accept_weights (bool, optional) – Flag to accept the weights from the input file, by default False

Returns:

obs_df – Optical observation data for the given body with the desired biasing and weighting

Return type:

pandas DataFrame

Raises:

  • ValueError – If deweight and eliminate are both True.

  • ValueError – If deweight and eliminate are both False.

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