Nbody Regressor API

spock.nbodyregressor #

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NbodyRegressor Objects #

class NbodyRegressor()

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predict_instability_time #

 | predict_instability_time(sim, tmax=None, archive_filename=None, archive_interval=None, n_jobs=-1, match_training=False)

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Predict instability time through N-body integration.

Arguments:

  • sim rebound.Simulation, or list - Orbital configuration(s) to test
  • tmax float - Maximum time to integrate for (in Simulation time units). If passing a list of sims, need to pass a list of tmax of equal length. Defaults to 1e9 innermost planet orbits.
  • archive_filename str - Path and filename to store a rebound SimulationArchive of snapshots
  • archive_interval float - Time between snapshots for SimulationArchive (in Simulation time units)
  • n_jobs int - Number of cores to use for calculation (only if passing more than one simulation). Default: Use all available cores.
  • match_training bool - In order to match the exact chaotic trajectory given an input orbital configuration from our training set, need to set match_training=True. False gives an equally valid chaotic realization, and gives a factor of ~2 speedup in evaluation.

Returns:

  • float - Time of instability (Hill sphere crossing), in Simulation time units, or tmax if stable
  • int - 1 if integration reached tmax, 0 if Hill spheres crossed

predict_stable #

 | predict_stable(sim, tmax=None, archive_filename=None, archive_interval=None, n_jobs=-1, match_training=False)

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Predict whether system is stable up to time=tmax through N-body integration.

Arguments:

  • sim rebound.Simulation - Orbital configuration to test
  • tmax float - Maximum time to integrate for (in Simulation time units)
  • archive_filename str - Path and filename to store a rebound SimulationArchive of snapshots
  • archive_interval float - Time between snapshots for SimulationArchive (in Simulation time units)
  • n_jobs int - Number of cores to use for calculation (only if passing more than one simulation). Default: Use all available cores.
  • match_training bool - In order to match the exact chaotic trajectory given an input orbital configuration from our training set, need to set match_training=True. False gives an equally valid chaotic realization, and gives a factor of ~2 speedup in evaluation.

Returns:

  • float - Time of instability (Hill sphere crossing), in Simulation time units, or tmax if stable
  • int - 1 if integration reached tmax, 0 if Hill spheres crossed