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
. Ifobjective
is: *'likelihood'
: the values ofpower
are the log likelihood maximized over phase, depth, and duration, or *'snr'
: the values ofpower
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.