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¶
|
Convert bounds from the data storage format to a |
|
Convert the storage data model into a scarlet lite blend |
|
Deblend a parent footprint |
|
Deblend a parent footprint |
|
Convert a scarlet model to a |
|
Convert a scarlet lite blend into a persistable data object |
|
Convert a scarlet blend into a persistable data object |
|
Create footprints and update band-dependent columns in the catalog |
Classes¶
|
Dummy component for scarlet main sources. |
|
An observation that does not have any image data |
|
Data for an entire blend. |
|
Data for a component expressed as a 3D data cube |
|
MultibandDeblendConfig |
|
Split blended sources into individual sources. |
|
Data for a factorized component |
|
A container that propagates scarlet models for an entire |
|
Data for a scarlet source |