findDip

lcps.slidingWindow.findDip(timeWindow, fluxWindow, minDur=1, maxDur=5, localMedian=1.0, localMAD=0.01, detectionThresh=0.995)

Search for negative excursions (dips) in an array.

findDip counts the number of entries in fluxWindow that fall short of a threshold in relative flux specified in detectionThresh. If this number lies between minDur and maxDur, a dip is detected and findDip returns the time of egress and the minimum flux relative to localMedian.

Parameters:

timeWindow : array

Numpy array containing time data

fluxWindow : array

Numpy array containing flux data

minDur : int

minimum dip duration in # of data points

maxDur : int

maximum dip duration in # of data points

localMedian : float

local median flux

MAD : float

median absolute deviation of the current window’s neighborhood

detectionThresh : float

fraction of flux, below which a deviation is registered

Returns:

t_egress : float

time at end of detected dip

minFlux : float

Minimum flux relative to localMedian