aopp_deconv_tool.psf_normalise

module documentation

Quick tool for normalising a PSF in a FITS file

Function exec_with_args Undocumented
Function go Thin wrapper around run() to accept string inputs. As long as the names of the arguments to this function are the same as the names expected from the command line we can do this programatically
Function parse_args Undocumented
Function run Undocumented
Variable _lgr Undocumented
def exec_with_args(argv):

Undocumented

def go(fits_spec, output_path=None, threshold=None, n_largest_regions=None, background_threshold=None, background_noise_model=None, n_sigma=None, trim_to_shape=None):

Thin wrapper around run() to accept string inputs. As long as the names of the arguments to this function are the same as the names expected from the command line we can do this programatically

def parse_args(argv):

Undocumented

def run(fits_spec: aph.fits.specifier.FitsSpecifier, output_path: Path, threshold: float = 0.01, n_largest_regions: None | int = 1, background_threshold: float = 0.001, background_noise_model: str = 'gennorm', n_sigma: float = 5, trim_to_shape: None | tuple[int, ...] = None):

Undocumented

_lgr =

Undocumented