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¶
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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 |