StellarOpNav.review_outliers¶
giant.stellar_opnav.stellar_class
:
- StellarOpNav.review_outliers(sigma_cutoff=3, hard_threshold=5)[source]¶
This method review outliers for all images within a camera object and allows for them to be removed through a simple gui.
Possible outliers are identified either using
get_outliers()
or through a hard threshold. Thesigma_cutoff
is passed to the same argument in theget_outliers()
. Thehard_threshold
is used to identify possible outliers by simply thresholding the total pixel error (sqrt(x**2+y**2)). All possible outliers from either method are shown to the user for possible manual removal using theshow_outlier()
function.For automated outlier removal see the
remove_outliers()
method.- Parameters:
sigma_cutoff (Real) – the sigma threshold to use in the Median Absolute Deviation check
hard_threshold (Real) – The hard threshold to use in units of pixels