lsst.meas.deblender¶
The lsst.meas.deblender module provides source deblending algorithms.
Task reference¶
Tasks¶
- SourceDeblendTask
 Split blended sources into individual sources.
Contributing¶
lsst.meas.deblender is developed at https://github.com/lsst/meas_deblender.
You can find Jira issues for this module under the meas_deblender component.
Python API reference¶
lsst.meas.deblender Package¶
Functions¶
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Apportion flux to all of the peak templates in each filter  | 
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Build a symmetric template for each peak in each filter  | 
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Clip non-zero spans in the template footprints for every peak in each filter.  | 
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Deblend a parent   | 
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Fit a PSF + smooth background model (linear) to a small region around each peak.  | 
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Make the templates monotonic.  | 
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Applying median smoothing filter to the template images for every peak in every filter.  | 
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Deblend a parent   | 
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Adjust flux on the edges of the template footprints.  | 
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Remove "degenerate templates"  | 
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Weight the templates to best fit the observed image in each filter  | 
Classes¶
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Cache the PSF models  | 
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Deblender result of a single parent footprint, in a single band  | 
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Result of deblending a single Peak within a parent Footprint.  | 
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Class to define plugins for the deblender.  | 
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Collection of objects in multiple bands for a single parent footprint.  | 
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Collection of single peak deblender results in multiple bands.  | 
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Split blended sources into individual sources.  | 
Class Inheritance Diagram¶
lsst.meas.deblender.baseline Module¶
Functions¶
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Deblend a parent   | 
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Deblend a parent   | 
Classes¶
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Collection of objects in multiple bands for a single parent footprint.  | 
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Deblender result of a single parent footprint, in a single band  | 
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Collection of single peak deblender results in multiple bands.  | 
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Result of deblending a single Peak within a parent Footprint.  | 
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Cache the PSF models  |