| __copy__(self) | lsst.scarlet.lite.observation.Observation | |
| __deepcopy__(self, dict[int, Any] memo) | lsst.scarlet.lite.observation.Observation | |
| __getitem__(self, Any indices) | lsst.scarlet.lite.observation.Observation | |
| __init__(self, np.ndarray|Image images, np.ndarray|Image variance, np.ndarray|Image weights, np.ndarray psfs, np.ndarray|None model_psf=None, np.ndarray|None noise_rms=None, Box|None bbox=None, tuple|None bands=None, int padding=3, str convolution_mode="fft", tuple[int, int]|None shape=None) | lsst.scarlet.lite.models.fit_psf.FittedPsfObservation | |
| _convolution_bounds (defined in lsst.scarlet.lite.observation.Observation) | lsst.scarlet.lite.observation.Observation | protected |
| _fitted_kernel (defined in lsst.scarlet.lite.models.fit_psf.FittedPsfObservation) | lsst.scarlet.lite.models.fit_psf.FittedPsfObservation | protected |
| axes (defined in lsst.scarlet.lite.models.fit_psf.FittedPsfObservation) | lsst.scarlet.lite.models.fit_psf.FittedPsfObservation | |
| bands (defined in lsst.scarlet.lite.observation.Observation) | lsst.scarlet.lite.observation.Observation | |
| bands(self) | lsst.scarlet.lite.observation.Observation | |
| bbox(self) | lsst.scarlet.lite.observation.Observation | |
| cached_kernel(self) (defined in lsst.scarlet.lite.models.fit_psf.FittedPsfObservation) | lsst.scarlet.lite.models.fit_psf.FittedPsfObservation | |
| convolution_bounds(self) | lsst.scarlet.lite.observation.Observation | |
| convolve(self, Image image, str|None mode=None, bool grad=False) | lsst.scarlet.lite.models.fit_psf.FittedPsfObservation | |
| copy(self, bool deep=False) | lsst.scarlet.lite.observation.Observation | |
| diff_kernel (defined in lsst.scarlet.lite.observation.Observation) | lsst.scarlet.lite.observation.Observation | |
| dtype(self) | lsst.scarlet.lite.observation.Observation | |
| empty(tuple[Any] bands, np.ndarray psfs, np.ndarray model_psf, Box bbox, npt.DTypeLike dtype) (defined in lsst.scarlet.lite.observation.Observation) | lsst.scarlet.lite.observation.Observation | static |
| fitted_kernel(self) (defined in lsst.scarlet.lite.models.fit_psf.FittedPsfObservation) | lsst.scarlet.lite.models.fit_psf.FittedPsfObservation | |
| grad_fit_kernel(self, np.ndarray input_grad, np.ndarray psf, np.ndarray model) | lsst.scarlet.lite.models.fit_psf.FittedPsfObservation | |
| grad_kernel (defined in lsst.scarlet.lite.observation.Observation) | lsst.scarlet.lite.observation.Observation | |
| images (defined in lsst.scarlet.lite.observation.Observation) | lsst.scarlet.lite.observation.Observation | |
| log_likelihood(self, Image model) | lsst.scarlet.lite.observation.Observation | |
| mode (defined in lsst.scarlet.lite.observation.Observation) | lsst.scarlet.lite.observation.Observation | |
| model_psf (defined in lsst.scarlet.lite.observation.Observation) | lsst.scarlet.lite.observation.Observation | |
| n_bands(self) | lsst.scarlet.lite.observation.Observation | |
| noise_rms (defined in lsst.scarlet.lite.observation.Observation) | lsst.scarlet.lite.observation.Observation | |
| padding (defined in lsst.scarlet.lite.observation.Observation) | lsst.scarlet.lite.observation.Observation | |
| parameterize(self, Callable parameterization) | lsst.scarlet.lite.models.fit_psf.FittedPsfObservation | |
| prox_kernel(self, np.ndarray kernel) (defined in lsst.scarlet.lite.models.fit_psf.FittedPsfObservation) | lsst.scarlet.lite.models.fit_psf.FittedPsfObservation | |
| psfs (defined in lsst.scarlet.lite.observation.Observation) | lsst.scarlet.lite.observation.Observation | |
| shape(self) | lsst.scarlet.lite.observation.Observation | |
| update(self, int it, np.ndarray input_grad, np.ndarray model) | lsst.scarlet.lite.models.fit_psf.FittedPsfObservation | |
| variance (defined in lsst.scarlet.lite.observation.Observation) | lsst.scarlet.lite.observation.Observation | |
| weights (defined in lsst.scarlet.lite.observation.Observation) | lsst.scarlet.lite.observation.Observation | |
1.13.2