punchbowl.levelq.flow#

Attributes#

`ORDER_QP`
`SPACECRAFT_OBSCODE`

Functions#

`levelq_QNN_core_flow`(→ list[ndcube.NDCube])	Run the LQ QNN flow.
`levelq_CQM_core_flow`(→ list[ndcube.NDCube])	Level quickPUNCH core flow.
`levelq_CTM_core_flow`(→ list[ndcube.NDCube])	Level Q CTM flow.
`levelq_QAM_core_flow`(→ list[ndcube.NDCube])	Level Q QAM flow.

Module Contents#

punchbowl.levelq.flow.ORDER_QP = ['QM1', 'QZ1', 'QP1', 'QM2', 'QZ2', 'QP2', 'QM3', 'QZ3', 'QP3']#

punchbowl.levelq.flow.SPACECRAFT_OBSCODE#

punchbowl.levelq.flow.levelq_QNN_core_flow(data_list: list[str] | list[ndcube.NDCube], output_filename: list[str] | None = None, files_to_fit: list[str | ndcube.NDCube | punchbowl.util.DataLoader] | None = None, data_root: str | None = None) → list[ndcube.NDCube][source]#

Run the LQ QNN flow.

This flow is designed to run on a batch of input CR4 images to facilitate more efficient PCA fitting.

Parameters:

data_list (list[str | NDCube]) – The input images, either as paths or NDCubes
output_filename (list[str]) – Optional output paths at which the QNN files should be written
files_to_fit (list[str | NDCube | DataLoader]) – Additional files to use for the PCA fitting, but not to actually be filtered or output
data_root (str) – The root directory which the paths in data_list are relative to

Returns:

output_cubes – The QNN data cubes

Return type:

list[NDCube]

punchbowl.levelq.flow.levelq_CQM_core_flow(data_list: list[str] | list[ndcube.NDCube], output_filename: list[str] | None = None, trim_edges_px: int = 0, alphas_file: str | None = None, trefoil_wcs: astropy.wcs.WCS | None = None, trefoil_shape: tuple[int, int] | None = None) → list[ndcube.NDCube][source]#: Level quickPUNCH core flow.

punchbowl.levelq.flow.levelq_CTM_core_flow(data_list: list[str] | list[ndcube.NDCube], before_f_corona_model_path: str, after_f_corona_model_path: str, output_filename: str | None = None, reference_time: datetime.datetime | None = None) → list[ndcube.NDCube][source]#: Level Q CTM flow.

punchbowl.levelq.flow.levelq_QAM_core_flow(data_list: list[str] | list[ndcube.NDCube], output_filename: str | None = None, reference_time: datetime.datetime | None = None) → list[ndcube.NDCube][source]#: Level Q QAM flow.