# Access geometry parameters
from psana.pscalib.geometry.GeometryAccess import GeometryAccess, img_from_pixel_arrays
geo = GeometryAccess(<geometry-file-name>)
ix, iy = geo.get_pixel_coord_indexes(**kwargs)
mask_nda = geo.get_pixel_mask(mbits=0xffff) # returns mask associated with segment geometry
mask2d = img_from_pixel_arrays(ix, iy, W=mask_nda)

# similar methods are available in the detector interface.
# modify mask2d - add ROI mask bad pixels/regions with mask editor or programatically.

# Main code
from psana.detector.UtilsMask import *
m = convert_mask2d_to_ndarray_using_pixel_coord_indexes(mask2d, ix, iy)
m = convert_mask2d_to_ndarray_using_geo(mask2d, geo, **kwargs) # NOTE: kwargs passed to are the same as in geo.get_pixel_coord_indexes(**kwargs)
m = convert_mask2d_to_ndarray_using_geometry_file(mask2d, gfname, **kwargs) # kwargs passed to geo.get_pixel_coord_indexes(**kwargs)