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¶
|
Calculate the fraction of pixels with no data in a Footprint Parameters ---------- footprint : |
|
Deblend a parent footprint |
|
Deblend a parent footprint |
|
Convert the storage data model into a scarlet lite blend |
|
Convert a scarlet.lite blend into a persistable data object |
|
Convert a scarlet_lite model to a |
|
Set metrics that can be used to evalute the deblender accuracy |
|
Create footprints and update band-dependent columns in the catalog |
|
Use the scarlet models to set HeavyFootprints for modeled sources |
Classes¶
|
A single blend. |
|
Bounding Box for an object |
|
|
|
A base component in scarlet lite. |
|
Metrics and measurements made on single sources. |
|
|
|
|
|
A component that can be factorized into spectrum and morphology parameters. |
|
A parameter that is not updated |
|
|
|
A numpy array with an origin and (optional) bands |
|
|
|
|
|
MultibandDeblendConfig |
|
Split blended sources into individual sources. |
|
A container for components associated with the same astrophysical object |
|
|
|
|
|
|
|
alias of |