deblend¶
- lsst.meas.extensions.scarlet.deblend(mExposure, modelPsf, footprint, config, spectrumInit, monotonicity, wavelets=None)¶
Deblend a parent footprint
- Parameters:
- mExposure
lsst.image.MultibandExposure
The multiband exposure containing the image, mask, and variance data
- footprint
lsst.detection.Footprint
The footprint of the parent to deblend
- config
ScarletDeblendConfig
Configuration of the deblending task
- spectrumInit
bool
Whether or not to initialize the model using the spectrum.
- monotonicity: `lsst.scarlet.lite.operators.Monotonicity`
The monotonicity operator.
- wavelets
numpy.ndarray
Pre-generated wavelets to use if using wavelet initialization.
- mExposure
- Returns:
- blend
scarlet.lite.Blend
The blend this is to be deblended
- skippedSources
list[int]
Indices of sources that were skipped due to no flux. This usually means that a source was a spurrious detection in one band that should not have been included in the merged catalog.
- skippedBands
list[str]
Bands that were skipped because a PSF could not be generated for them.
- blend