lsst.meas.extensions.scarlet¶
lsst.meas.extensions.scarlet contains the pipeline task used to execute the
scarlet deblending algorithm
(Melchior et. al 2018).
Using lsst.meas.extensions.scarlet¶
Contributing¶
lsst.meas.extensions.scarlet is developed at https://github.com/lsst/meas_extensions_scarlet.
You can find Jira issues for this module under the meas_extensions_scarlet component.
Python API reference¶
lsst.meas.extensions.scarlet Package¶
Functions¶
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Calculate the fraction of pixels with no data in a Footprint Parameters ---------- footprint :   | 
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Deblend a parent footprint  | 
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Deblend a parent footprint  | 
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Convert the storage data model into a scarlet lite blend  | 
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Convert a scarlet.lite blend into a persistable data object  | 
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Convert a scarlet_lite model to a   | 
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Set metrics that can be used to evalute the deblender accuracy  | 
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Create footprints and update band-dependent columns in the catalog  | 
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Use the scarlet models to set HeavyFootprints for modeled sources  | 
Classes¶
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A single blend.  | 
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Bounding Box for an object  | 
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A base component in scarlet lite.  | 
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Metrics and measurements made on single sources.  | 
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A component that can be factorized into spectrum and morphology parameters.  | 
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A parameter that is not updated  | 
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A numpy array with an origin and (optional) bands  | 
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MultibandDeblendConfig  | 
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Split blended sources into individual sources.  | 
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A container for components associated with the same astrophysical object  | 
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alias of   |