PlotImageSubtractionCutoutsTask

class lsst.analysis.ap.PlotImageSubtractionCutoutsTask(*, output_path, **kwargs)

Bases: Task

Generate template/science/difference image cutouts of DiaSources and an optional manifest for upload to a Zooniverse project.

Parameters:
output_pathstr

The path to write the output to; manifest goes here, while the images themselves go into output_path/images/.

Methods Summary

emptyMetadata()

Empty (clear) the metadata for this Task and all sub-Tasks.

generate_image(science, template, ...[, ...])

Get a 3-part cutout image to save to disk, for a single source.

getFullMetadata()

Get metadata for all tasks.

getFullName()

Get the task name as a hierarchical name including parent task names.

getName()

Get the name of the task.

getTaskDict()

Get a dictionary of all tasks as a shallow copy.

makeField(doc)

Make a lsst.pex.config.ConfigurableField for this task.

makeSubtask(name, **keyArgs)

Create a subtask as a new instance as the name attribute of this task.

run(data, butler[, njobs])

Generate cutout images and a manifest for upload to Zooniverse from a collection of DiaSources.

timer(name[, logLevel])

Context manager to log performance data for an arbitrary block of code.

write_images(data, butler[, njobs])

Make the 3-part cutout images for each requested source and write them to disk.

write_manifest(sources)

Save a Zooniverse manifest attaching image URLs to source ids.

Methods Documentation

emptyMetadata() None

Empty (clear) the metadata for this Task and all sub-Tasks.

generate_image(science, template, difference, center, scale, dia_source_id=None, save_as_numpy=False, source=None, footprint=None)

Get a 3-part cutout image to save to disk, for a single source.

Parameters:
sciencelsst.afw.image.ExposureF

Science exposure to include in the cutout.

templatelsst.afw.image.ExposureF

Matched template exposure to include in the cutout.

differencelsst.afw.image.ExposureF

Matched science minus template exposure to include in the cutout.

centerlsst.geom.SpherePoint

Center of the source to be cut out of each image.

scalefloat

Pixel scale in arcseconds.

dia_source_idint, optional

DiaSourceId to use in the filename, if saving to disk.

save_as_numpybool, optional

Save the raw cutout images in numpy format.

sourcenumpy.record, optional

DiaSource record for this cutout, to add metadata to the image.

footprintlsst.afw.detection.Footprint, optional

Detected source footprint; if specified, extract a square surrounding the footprint bbox, otherwise use config.size.

Returns:
image: io.BytesIO

The generated image, to be output to a file or displayed on screen.

getFullMetadata() TaskMetadata

Get metadata for all tasks.

Returns:
metadataTaskMetadata

The keys are the full task name. Values are metadata for the top-level task and all subtasks, sub-subtasks, etc.

Notes

The returned metadata includes timing information (if @timer.timeMethod is used) and any metadata set by the task. The name of each item consists of the full task name with . replaced by :, followed by . and the name of the item, e.g.:

topLevelTaskName:subtaskName:subsubtaskName.itemName

using : in the full task name disambiguates the rare situation that a task has a subtask and a metadata item with the same name.

getFullName() str

Get the task name as a hierarchical name including parent task names.

Returns:
fullNamestr

The full name consists of the name of the parent task and each subtask separated by periods. For example:

  • The full name of top-level task “top” is simply “top”.

  • The full name of subtask “sub” of top-level task “top” is “top.sub”.

  • The full name of subtask “sub2” of subtask “sub” of top-level task “top” is “top.sub.sub2”.

getName() str

Get the name of the task.

Returns:
taskNamestr

Name of the task.

See also

getFullName

Get the full name of the task.

getTaskDict() dict[str, weakref.ReferenceType[lsst.pipe.base.task.Task]]

Get a dictionary of all tasks as a shallow copy.

Returns:
taskDictdict

Dictionary containing full task name: task object for the top-level task and all subtasks, sub-subtasks, etc.

classmethod makeField(doc: str) ConfigurableField

Make a lsst.pex.config.ConfigurableField for this task.

Parameters:
docstr

Help text for the field.

Returns:
configurableFieldlsst.pex.config.ConfigurableField

A ConfigurableField for this task.

Examples

Provides a convenient way to specify this task is a subtask of another task.

Here is an example of use:

class OtherTaskConfig(lsst.pex.config.Config):
    aSubtask = ATaskClass.makeField("brief description of task")
makeSubtask(name: str, **keyArgs: Any) None

Create a subtask as a new instance as the name attribute of this task.

Parameters:
namestr

Brief name of the subtask.

**keyArgs

Extra keyword arguments used to construct the task. The following arguments are automatically provided and cannot be overridden:

  • config.

  • parentTask.

Notes

The subtask must be defined by Task.config.name, an instance of ConfigurableField or RegistryField.

run(data, butler, njobs=0)

Generate cutout images and a manifest for upload to Zooniverse from a collection of DiaSources.

Parameters:
datapandas.DataFrame

The DiaSources to extract cutouts for. Must contain at least these fields: ra, dec, diaSourceId, detector, visit, instrument.

butlerlsst.daf.butler.Butler

The butler connection to use to load the data; create it with the collections you wish to load images from.

njobsint, optional

Number of multiprocessing jobs to make cutouts with; default of 0 means don’t use multiprocessing at all.

Returns:
source_idslist [int]

DiaSourceIds of cutout images that were generated.

timer(name: str, logLevel: int = 10) Iterator[None]

Context manager to log performance data for an arbitrary block of code.

Parameters:
namestr

Name of code being timed; data will be logged using item name: Start and End.

logLevelint

A logging level constant.

See also

lsst.utils.timer.logInfo

Implementation function.

Examples

Creating a timer context:

with self.timer("someCodeToTime"):
    pass  # code to time
write_images(data, butler, njobs=0)

Make the 3-part cutout images for each requested source and write them to disk.

Creates images/ and numpy/ subdirectories if they do not already exist; images are written there as PNG and npy files.

Parameters:
datapandas.DataFrame

The DiaSources to extract cutouts for. Must contain at least these fields: ra, dec, diaSourceId, detector, visit, instrument.

butlerlsst.daf.butler.Butler

The butler connection to use to load the data; create it with the collections you wish to load images from.

njobsint, optional

Number of multiprocessing jobs to make cutouts with; default of 0 means don’t use multiprocessing at all.

Returns:
sourceslist

DiaSourceIds that had cutouts made.

write_manifest(sources)

Save a Zooniverse manifest attaching image URLs to source ids.

Parameters:
sourceslist [int]

The diaSourceIds of the sources that had cutouts succesfully made.