hats.pixel_tree

hats.pixel_tree#

Submodules#

Classes#

PixelAlignment

Represents how two pixel trees align with each other, meaning which pixels match

PixelAlignmentType

The type of alignment between catalog trees. Like a join, the types describe if nodes should

Functions#

align_trees(→ PixelAlignment)

Generate a PixelAlignment object from two pixel trees

Package Contents#

class PixelAlignment(aligned_tree: hats.pixel_tree.pixel_tree.PixelTree, pixel_mapping: pandas.DataFrame, alignment_type: hats.pixel_tree.pixel_alignment_types.PixelAlignmentType, moc: mocpy.MOC = None)[source]#

Represents how two pixel trees align with each other, meaning which pixels match or overlap between the catalogs, and a new tree with the smallest pixels from each tree

For more information on the pixel alignment algorithm, view this document: https://docs.google.com/document/d/1gqb8qb3HiEhLGNav55LKKFlNjuusBIsDW7FdTkc5mJU/edit?usp=sharing

pixel_mapping#

A dataframe where each row contains a pixel from each tree that match, and which pixel in the aligned tree they match with

pixel_tree#

The aligned tree generated by using the smallest pixels in each tree. For example, a tree with pixels at order 0, pixel 1, and a tree with order 1, pixel 4,5,6, and 7, would result in the smaller order 1 pixels in the aligned tree.

alignment_type#

The type of alignment describing how to handle nodes which exist in one tree but not the other. Options are:

  • inner - only use pixels that appear in both catalogs

  • left - use all pixels that appear in the left catalog and any overlapping from the right

  • right - use all pixels that appear in the right catalog and any overlapping from the left

  • outer - use all pixels from both catalogs

PRIMARY_ORDER_COLUMN_NAME = 'primary_Norder'#
PRIMARY_PIXEL_COLUMN_NAME = 'primary_Npix'#
JOIN_ORDER_COLUMN_NAME = 'join_Norder'#
JOIN_PIXEL_COLUMN_NAME = 'join_Npix'#
ALIGNED_ORDER_COLUMN_NAME = 'aligned_Norder'#
ALIGNED_PIXEL_COLUMN_NAME = 'aligned_Npix'#
pixel_tree#
pixel_mapping#
alignment_type#
moc = None#
align_trees(left: hats.pixel_tree.pixel_tree.PixelTree, right: hats.pixel_tree.pixel_tree.PixelTree, alignment_type: hats.pixel_tree.pixel_alignment_types.PixelAlignmentType = PixelAlignmentType.INNER) → PixelAlignment[source]#

Generate a PixelAlignment object from two pixel trees

A PixelAlignment represents how two pixel trees align with each other, meaning which pixels match or overlap between the catalogs, and includes a new tree with the smallest pixels from each tree

For more information on the pixel alignment algorithm, view this document: https://docs.google.com/document/d/1gqb8qb3HiEhLGNav55LKKFlNjuusBIsDW7FdTkc5mJU/edit?usp=sharing

Parameters:

  • left – The left tree to align

  • right – The right tree to align

  • alignment_type –

    The type of alignment describing how to handle nodes which exist in one tree but not the other. Options are:

    • inner - only use pixels that appear in both catalogs

    • left - use all pixels that appear in the left catalog and any overlapping from the right

    • right - use all pixels that appear in the right catalog and any overlapping from the left

    • outer - use all pixels from both catalogs

Returns:

The PixelAlignment object with the alignment from the two trees

class PixelAlignmentType[source]#

Bases: str, enum.Enum

The type of alignment between catalog trees. Like a join, the types describe if nodes should be included if they do not appear in the other catalog

INNER = 'inner'#
OUTER = 'outer'#
LEFT = 'left'#
RIGHT = 'right'#
Contents