clevar.footprint.artificial module¶

clevar.footprint.artificial.create_footprint(ra, dec, nside=None, min_density=2, neighbor_fill=None, nest=False)[source]¶

Create footprint from (Ra, Dec). Can compute optimal NSIDE given a density and also fill holes.

Parameters

ra (numpy array) – Ra array in degrees
dec (numpy array) – Dec array in degrees
nside (int, None) – Number for healpix NSIDE of pixel
min_density (float) – Threshold density of obj./pixel to compute nside when nside is not defined
neighbor_fill (int, None) – Minimum number of neighbors to fill a pixel: 1<n<8, optimal is 5. If None, the holes are not filled.
nest (bool) – Nested ordering. If false use ring.

Returns

ftpt – Footprint

Return type

FootprintZmax object

clevar.footprint.artificial.fill_holes(ftpt, neighbor_fill, nest=False)[source]¶

Fill holes in a footprint mask

Parameters

ftpt (clevar.mask.Footprint object) – Footprint
pixels (numpy array) – Array with indices of healpy pixels of the footprint
neighbor_fill (int) – Minimum number of neighbors to fill a pixel: 1<n<8, optimal is 5
nest (bool) – Nested ordering. If false use ring.

Returns

ftpt – Footprint with holes filled

Return type

clevar.mask.Footprint object

clevar.footprint.artificial.fill_holes_conv(ftpt, neighbor_fill, nest=False)[source]¶

Interactively fill holes in a footprint mask until convergence, updates ftpt input

Parameters

ftpt (FootprintZmax object) – Footprint
neighbor_fill (int) – Minimum number of neighbors to fill a pixel: 1<n<8, optimal is 5.
nest (bool) – Nested ordering. If false use ring.

Returns

ftpt – Footprint with holes filled

Return type

clevar.mask.Footprint object

clevar.footprint.artificial.nside_from_density(ra, dec, min_density, nest=False)[source]¶

Compute NSIDE based on a minimum density

Parameters

Returns