Accelerated MotionModel that has passed all the testing functions! #17
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…ed absolute sigma in Linear model
…odel error calculations
… Update trans_positions
Update data fitting logic: Compare observed data points with model parameters. If n_obs < n_params, return fill value for the parameters and infinity for the uncertainties; Otherwise, calculate parameters normally. If n_obs = n_params and absolute_sigma=False, return infinity for uncertainties (Same behavior as scipy curve fit).
…motion models. Update fitting logic: Provide multiple motion models, use the available model with the most number of parameters to fit according to the observed data points (i.e., choose the model with n_obs >= n_params). Removed motion_model_input and default_motion_model for clarity.
…atch_pos at_time into model; Renamed get_ functions into calc_ functions
… and get_batch_pos_at_time into model; Replaced MotionModel.fit_motion_model with MotionModel.fit; Rewrote and accelerated StarTable.fit_velocities with StarTable.fit_motion_model
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Major changes are:
n_obs >= n_param. By default,motion_models=[Empty, Fixed, Linear]inStarTable.fit_motion_model. Empty and Fixed are always added.downgradethe given ones if there are not enough observed points, untiln_obs >= n_param. Empty and Fixed are always added.default_motion_modelis now removed, as the actually used motion model is determined by the number of available epochs to fit and the list of provided models inmotion_models.motion_model_dictis now removed, and all the model-related parameters go intofixed_params_dict.t0is now optional and will be calculated as np.average(t, weights=1./np.hypot(xe, ye)) if not provided.get_star_position_at_timeandget_batch_star_positionsintoMotionModel.model, which is now fully vectorized and returns positions and uncertainties in shapes of(N_stars, N_times), or(N_stars,)whenN_times=1, or(N_times,)whenN_stars=1.StarTable.fit_motion_modelsignificantly forn_epochs < 300! Now achieving > 10,000 iterations per second for 5 epochs!Name Changes:
MotionModel.fit_motion_model->MotionModel.fitStarTable.fit_velocities->StarTable.fit_motion_modelMotionModel.get_star_position_at_time / get_batch_star_positions->MotionModel.model