BoxLeastSquaresResults

class astropy.timeseries.BoxLeastSquaresResults(*args)

Bases: dict

The results of a BoxLeastSquares search

Attributes:

objectivepython:str

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

periodnumpy:array_like or Quantity [:ref: ‘time’]

The set of test periods.

powernumpy: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.

depthnumpy:array_like or Quantity

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

depth_errnumpy:array_like or Quantity

The 1-sigma uncertainty on depth.

durationnumpy:array_like or Quantity [:ref: ‘time’]

The maximum power duration at each period.

transit_timenumpy:array_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_snrnumpy:array_like or Quantity

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

log_likelihoodnumpy:array_like or Quantity

The log likelihood of the maximum power model.

Methods Summary

clear()
copy()
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.
items()
keys()
pop(key[, default])	If the key is not found, return the default if given; otherwise, raise a KeyError.
popitem(/)	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]
values()

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(key, default=<unrepresentable>, /)

If the key is not found, return the default if given; otherwise, raise a KeyError.

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