fit_arc_blind_via_track

ssapy.correlate_tracks.fit_arc_blind_via_track(arc, propagator=None, verbose=False, reset_if_too_uncertain=False, mode='rv', priors=None, order='forward', approximate=False, orbitattr=None, factor=1)

Fit a series of detections using the Track interface.

Parameters:

• arc (ndarry with many fields) – The observations to fit. Must contain many fields (ra, dec, …)

• propagator (Propagator instance) – Propagator to use for orbit propagation. Default None (Keplerian).

• verbose (bool) – print additional information during fitting if True

• reset_if_too_uncertain (bool) – if the uncertainty in the number of wraps grows to be greater than pi, start track fitting over, ignoring old tracklets.

• factor (float) – factor for geometrically increasing time baseline (default 1)

• order (str) – order to process observations; default ‘forward’. ‘backward’ processes observations in reverse chronological order.

Returns:

• tracklist

• A list of Tracks, giving the fits to the track as each observation

• in added sequentially in time to the fit.