punchbowl.levelq.pca

Functions

pca_filter(→ None)	Run PCA-based filtering.
check_file(→ bool)	Check if a file should be used.
load_files(→ numpy.ndarray)	Load files.
run_pca_filtering(→ numpy.ndarray)	Run PCA filtering.
find_bodies_in_image(→ list)	Find celestial bodies in image.

Module Contents

punchbowl.levelq.pca.pca_filter(input_cube: ndcube.NDCube, files_to_fit: list[ndcube.NDCube | collections.abc.Callable | str], n_components: int = 50, med_filt: int = 5) → None

Run PCA-based filtering.

punchbowl.levelq.pca.check_file(mean: float, median: float) → bool

Check if a file should be used.

punchbowl.levelq.pca.load_files(input_cube: ndcube.NDCube, files_to_fit: list[ndcube.NDCube | str | collections.abc.Callable]) → numpy.ndarray

Load files.

punchbowl.levelq.pca.run_pca_filtering(input_cube: ndcube.NDCube, all_files_to_fit: numpy.ndarray, n_components: int, med_filt: int) → numpy.ndarray

Run PCA filtering.

punchbowl.levelq.pca.find_bodies_in_image(frame: str | ndcube.NDCube | astropy.wcs.WCS) → list

Find celestial bodies in image.