# BoxLeastSquaresResults¶

class astropy.stats.BoxLeastSquaresResults(*args)[source]

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.