PlotDiaSourceLightcurveConfig#

class lsst.analysis.ap.PlotDiaSourceLightcurveConfig(*args, **kw)#

Bases: PlotImageSubtractionCutoutsConfig

Attributes Summary

`add_metadata`	Annotate the cutouts with catalog metadata, including coordinates, fluxes, flags, etc.
`chunk_size`	Chunk up files into subdirectories, with at most this many files per directory.
`diff_image_type`	Optional partial dataset name of template and difference image to use for cutouts; will have '_templateExp' and '_differenceExp' appended for butler.get(), respectively.
`highlight_current_source`	Draw a vertical line and open ring on the lightcurve at the MJD/flux of the diaSource being cut out.
`lightcurve_exclude_flagged`	Pass exclude_flagged=True to the APDB query when loading diaSources for the lightcurve.
`lightcurve_height`	Height in inches reserved for the lightcurve panel below the cutouts.
`lightcurve_marker_forced_only`	Matplotlib marker style for visits that have a forced measurement but no diaSource.
`lightcurve_marker_source`	Matplotlib marker style for visits that have a diaSource detection.
`save_as_numpy`	Save the raw cutout images in numpy format.
`science_image_type`	Dataset type of science image to use for cutouts; older processings could be `calexp` or `initial_pvi`.
`sizes`	List of widths of cutout to extract for image from science, template, and difference exposures.
`url_root`	URL that the resulting images will be served to Zooniverse from, for the manifest file.
`use_footprint`	Use source footprint to to define cutout region; If set, ignore `size` and use the footprint bbox instead.

Attributes Documentation

add_metadata#: Annotate the cutouts with catalog metadata, including coordinates, fluxes, flags, etc. (bool, default True)

chunk_size#: Chunk up files into subdirectories, with at most this many files per directory. None means write all the files to one images/ directory. (int, default 10000)

diff_image_type#: Optional partial dataset name of template and difference image to use for cutouts; will have ‘_templateExp’ and ‘_differenceExp’ appended for butler.get(), respectively. If not specified, use template_detector and difference_image, respectively. (str, default None)

highlight_current_source#: Draw a vertical line and open ring on the lightcurve at the MJD/flux of the diaSource being cut out. (bool, default True)

lightcurve_exclude_flagged#: Pass exclude_flagged=True to the APDB query when loading diaSources for the lightcurve. Defaults to False so the lightcurve matches the row count of a direct APDB query; set True to drop diaSources matching the configured bad-flag list. DiaForcedSources are always loaded unfiltered. (bool, default False)

lightcurve_height#: Height in inches reserved for the lightcurve panel below the cutouts. (float, default 2.5)

lightcurve_marker_forced_only#: Matplotlib marker style for visits that have a forced measurement but no diaSource. (str, default 'v')

lightcurve_marker_source#: Matplotlib marker style for visits that have a diaSource detection. (str, default 'o')

save_as_numpy#: Save the raw cutout images in numpy format. (bool, default False)

science_image_type#: Dataset type of science image to use for cutouts; older processings could be calexp or initial_pvi. (str, default 'preliminary_visit_image')

sizes#: List of widths of cutout to extract for image from science, template, and difference exposures. (List, default [30])

url_root#: URL that the resulting images will be served to Zooniverse from, for the manifest file. If not set, no manifest file will be written. (str, default None)

use_footprint#: Use source footprint to to define cutout region; If set, ignore size and use the footprint bbox instead. (bool, default False)