DeblendAdapt¶
- class lsst.ts.wep.deblend.DeblendAdapt¶
Bases:
DeblendDefaultDeblendDefault child class to do the deblending by the adaptive threshold method.
Methods Summary
deblendDonut(imgToDeblend, iniGuessXY)Deblend the donut image.
generateMultiDonut(template, spaceCoef, ...)Gemerate multiple donut images.
Methods Documentation
- deblendDonut(imgToDeblend, iniGuessXY)¶
Deblend the donut image.
- Parameters:
- imgToDeblendnumpy.ndarray
Image to deblend.
- iniGuessXYlist[tuple]
The list contains the initial guess of (x, y) positions of neighboring stars as [star 1, star 2, etc.].
- Returns:
- numpy.ndarray
Deblended donut image.
- float
Position x of donut in pixel.
- float
Position y of donut in pixel.
- Raises:
- ValueError
Only support to deblend single neighboring star.
- generateMultiDonut(template, spaceCoef, magRatio, theta)¶
Gemerate multiple donut images.
Only one neightboring star will be generated for test, which is the baseline of LSST.
- Parameters:
- templatenumpy.ndarray
Template donut image.
- spaceCoeffloat
Spacing coefficient to decide the distance between donuts.
- magRatiofloat
Magnitude ratio of new donut compared with the original one.
- thetafloat
Theta angle of generated neighboring star in degree.
- Returns:
- numpy.ndarray
Image of donuts.
- numpy.ndarray
Image of bright star.
- numpy.ndarray
Image of neighboring star.
- float
Position x of neighboring star.
- float
Position y of neighboring star.
- Raises:
- ValueError
spaceCoef should be greater than zero.
- ValueError
magRatio should be postive and less than 1.