astroquery.alma.utils.make_finder_chart_from_image_and_catalog(image, catalog, save_prefix, alma_kwargs={'public': False, 'science': False}, bands=(3, 4, 5, 6, 7, 8, 9, 10), private_band_colors=('maroon', 'red', 'orange', 'coral', 'brown', 'yellow', 'mediumorchid', 'palegoldenrod'), public_band_colors=('blue', 'cyan', 'green', 'turquoise', 'teal', 'darkslategrey', 'chartreuse', 'lime'), integration_time_contour_levels=array([ 1., 2., 4., 8., 16., 32.]), save_masks=False, use_saved_masks=False, linewidth=1)[source]

Create a “finder chart” showing where ALMA has pointed in various bands, including different color coding for public/private data and each band.

Contours are set at various integration times.

image : fits.PrimaryHDU or fits.ImageHDU object

The image to overlay onto

catalog : astropy.Table object

The catalog of ALMA observations

save_prefix : str

The prefix for the output files. Both .reg and .png files will be written. The .reg files will have the band numbers and public/private appended, while the .png file will be named prefix_almafinderchart.png

alma_kwargs : dict

Keywords to pass to the ALMA archive when querying.

private_band_colors / public_band_colors : tuple

A tuple or list of colors to be associated with private/public observations in the various bands

integration_time_contour_levels : list or np.array

The levels at which to draw contours in units of seconds. Default is log-spaced (2^n) seconds: [ 1., 2., 4., 8., 16., 32.])