create_masks_from_segmap

mpdaf.sdetect.create_masks_from_segmap(segmap, catalog, ref_image, n_jobs=1, skip_existing=True, masksky_name='mask-sky.fits', maskobj_name='mask-source-%05d.fits', idname='ID', raname='RA', decname='DEC', margin=0, mask_size=(20, 20), convolve_fwhm=0, psf_threshold=0.5, verbose=0)

Create binary masks from a segmentation map.

For each source from the catalog, extract the segmap region, align with ref_image and regrid to the resolution of ref_image.

Parameters:

segmap : str or mpdaf.obj.Image

The segmentation map.

catalog : str or mpdaf.sdetect.Catalog or astropy.table.Table

The catalog with sources id and position.

ref_image : str or mpdaf.obj.Image

The reference image, with which the segmap is aligned.

n_jobs : int

Number of parallel processes (for joblib).

skip_existing : bool

If True, skip sources for which the mask file exists.

masksky_name : str or callable()

The filename for the sky mask.

maskobj_name : str or callable()

The filename for the source masks, with a format string that will be substituted with the ID, e.g. %05d.

idname, raname, decname : str

Name of the ‘id’, ‘ra’ and ‘dec’ columns.

margin : float

Margin used for the segmap alignment (pixels).

mask_size : tuple

Size of the source masks (arcsec).

convolve_fwhm : float

FWHM for the PSF convolution (arcsec).

psf_threshold : float

Threshold applied to the PSF to get a binary image.

verbose: int

Verbosity level for joblib.Parallel.