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.