BoxLeastSquaresResults

class astropy.stats.BoxLeastSquaresResults(*args)

Bases: dict

The results of a BoxLeastSquares search

Attributes

objective	(string) The scalar used to optimize to find the best fit phase, duration, and depth. See BoxLeastSquares.power() for more information.
period	(array-like or Quantity) The set of test periods.
power	(array-like or Quantity) The periodogram evaluated at the periods in period. If objective is: * 'likelihood': the values of power are the log likelihood maximized over phase, depth, and duration, or * 'snr': the values of power are the signal-to-noise with which the depth is measured maximized over phase, depth, and duration.
depth	(array-like or Quantity) The estimated depth of the maximum power model at each period.
depth_err	(array-like or Quantity) The 1-sigma uncertainty on depth.
duration	(array-like or Quantity) The maximum power duration at each period.
transit_time	(array-like or Quantity) The maximum power phase of the transit in units of time. This indicates the mid-transit time and it will always be in the range (0, period).
depth_snr	(array-like or Quantity) The signal-to-noise with which the depth is measured at maximum power.
log_likelihood	(array-like or Quantity) The log likelihood of the maximum power model.