BoxLeastSquaresResults

class astropy.timeseries.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 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_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.

Methods Summary

clear()
copy()
fromkeys($type, iterable[, value])	Returns a new dict with keys from iterable and values equal to value.
get(k[,d])
items()
keys()
pop(k[,d])	If key is not found, d is returned if given, otherwise KeyError is raised
popitem()	2-tuple; but raise KeyError if D is empty.
setdefault(k[,d])
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]
values()

Methods Documentation

clear() → None. Remove all items from D.

copy() → a shallow copy of D

fromkeys($type, iterable, value=None, /)

Returns a new dict with keys from iterable and values equal to value.

get(k[, d]) → D[k] if k in D, else d. d defaults to None.

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() → (k, v), remove and return some (key, value) pair as a

2-tuple; but raise KeyError if D is empty.

setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D

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