punchbowl.level1.flow#
Functions#
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Generate PSF model. |
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Core flow for level 1. |
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Core flow for level 0.5. |
Module Contents#
- punchbowl.level1.flow.generate_psf_model_core_flow(input_filepaths: [str], alpha: float = 2.0, epsilon: float = 0.3, image_shape: int, int = (2048, 2048), psf_size: int = 32, target_fwhm: float = 3.25) regularizepsf.ArrayPSFTransform#
Generate PSF model.
- punchbowl.level1.flow.level1_core_flow(input_data: list[str] | list[ndcube.NDCube], gain: float = 4.9, bias_level: float = 100, dark_level: float = 55.81, read_noise_level: float = 17, bitrate_signal: int = 16, quartic_coefficient_path: str | pathlib.Path | None = None, despike_unsharp_size: int = 1, despike_method: str = 'median', despike_alpha: float = 3.0, despike_dilation: int = 0, exposure_time: float = 49 * 1000, readout_line_time: float = 163 / 2148, reset_line_time: float = 163 / 2148, stray_light_path: str | None = None, deficient_pixel_map_path: str | None = None, deficient_pixel_method: str = 'median', deficient_pixel_required_good_count: int = 3, deficient_pixel_max_window_size: int = 10, psf_model_path: str | None = None, alignment_mask: collections.abc.Callable | None = None, output_filename: list[str] | None = None) list[ndcube.NDCube]#
Core flow for level 1.
- punchbowl.level1.flow.level05_core_flow(input_data: list[str] | list[ndcube.NDCube], gain: float = 4.9, bias_level: float = 100, dark_level: float = 55.81, read_noise_level: float = 17, bitrate_signal: int = 16, quartic_coefficient_path: str | None = None, exposure_time: float = 49 * 1000, readout_line_time: float = 163 / 2148, reset_line_time: float = 163 / 2148, output_filename: str | None = None) list[ndcube.NDCube]#
Core flow for level 0.5.