Driver

class orbitize.driver.Driver(input_data, sampler_str, num_secondary_bodies, stellar_or_system_mass, plx, mass_err=0, plx_err=0, lnlike='chi2_lnlike', chi2_type='standard', system_kwargs=None, mcmc_kwargs=None)[source]

Runs through orbitize methods in a standardized way.

Parameters

  • input_data – Either a relative path to data file or astropy.table.Table object in the orbitize format. See orbitize.read_input

  • sampler_str (str) – algorithm to use for orbit computation. “MCMC” for Markov Chain Monte Carlo, “OFTI” for Orbits for the Impatient

  • num_secondary_bodies (int) – number of secondary bodies in the system. Should be at least 1.

  • stellar_or_system_mass (float) – mass of the primary star (if fitting for dynamical masses of both components) or total system mass (if fitting using relative astrometry only) [M_sol]

  • plx (float) – mean parallax of the system [mas]

  • mass_err (float, optional) – uncertainty on stellar_or_system_mass [M_sol]

  • plx_err (float, optional) – uncertainty on plx [mas]

  • lnlike (str, optional) – name of function in orbitize.lnlike that will be used to compute likelihood. (default=”chi2_lnlike”)

  • chi2_type (str, optional) – either “standard”, or “log”

  • system_kwargs (dict, optional) – restrict_angle_ranges, tau_ref_epoch, fit_secondary_mass, hipparcos_IAD, gaia, use_rebound, fitting_basis for orbitize.system.System.

  • mcmc_kwargs (dict, optional) – num_temps, num_walkers, and num_threads kwargs for orbitize.sampler.MCMC

Written: Sarah Blunt, 2018