# BoxLeastSquaresResults¶

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

Bases: dict

The results of a BoxLeastSquares search

Attributes
objectivestr

The scalar used to optimize to find the best fit phase, duration, and depth. See BoxLeastSquares.power() for more information.

periodarray_like or Quantity

The set of test periods.

powerarray_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.

deptharray_like or Quantity

The estimated depth of the maximum power model at each period.

depth_errarray_like or Quantity

The 1-sigma uncertainty on depth.

durationarray_like or Quantity

The maximum power duration at each period.

transit_timearray_like, Quantity, or Time

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_snrarray_like or Quantity

The signal-to-noise with which the depth is measured at maximum power.

log_likelihoodarray_like or Quantity

The log likelihood of the maximum power model.

Methods Summary

 fromkeys(iterable[, value]) Create a new dictionary with keys from iterable and values set to value. get(key[, default]) Return the value for key if key is in the dictionary, else default. pop(k[,d]) If key is not found, d is returned if given, otherwise KeyError is raised Remove and return a (key, value) pair as a 2-tuple. setdefault(key[, default]) Insert key with a value of default if key is not in the dictionary. update([E, ]**F) If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

Methods Documentation

clear() → None. Remove all items from D.
copy() → a shallow copy of D
fromkeys(iterable, value=None, /)

Create a new dictionary with keys from iterable and values set to value.

get(key, default=None, /)

Return the value for key if key is in the dictionary, else default.

items() → a set-like object providing a view on D’s items
keys() → a set-like object providing a view on D’s keys
pop(k[, d]) → v, remove specified key and return the corresponding value.

If key is not found, d is returned if given, otherwise KeyError is raised

popitem(/)

Remove and return a (key, value) pair as a 2-tuple.

Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.

setdefault(key, default=None, /)

Insert key with a value of default if key is not in the dictionary.

Return the value for key if key is in the dictionary, else default.

update([E, ]**F) → None. Update D from dict/iterable E and F.

If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

values() → an object providing a view on D’s values