LSST Applications 27.0.0,g0265f82a02+469cd937ee,g02d81e74bb+21ad69e7e1,g1470d8bcf6+cbe83ee85a,g2079a07aa2+e67c6346a6,g212a7c68fe+04a9158687,g2305ad1205+94392ce272,g295015adf3+81dd352a9d,g2bbee38e9b+469cd937ee,g337abbeb29+469cd937ee,g3939d97d7f+72a9f7b576,g487adcacf7+71499e7cba,g50ff169b8f+5929b3527e,g52b1c1532d+a6fc98d2e7,g591dd9f2cf+df404f777f,g5a732f18d5+be83d3ecdb,g64a986408d+21ad69e7e1,g858d7b2824+21ad69e7e1,g8a8a8dda67+a6fc98d2e7,g99cad8db69+f62e5b0af5,g9ddcbc5298+d4bad12328,ga1e77700b3+9c366c4306,ga8c6da7877+71e4819109,gb0e22166c9+25ba2f69a1,gb6a65358fc+469cd937ee,gbb8dafda3b+69d3c0e320,gc07e1c2157+a98bf949bb,gc120e1dc64+615ec43309,gc28159a63d+469cd937ee,gcf0d15dbbd+72a9f7b576,gdaeeff99f8+a38ce5ea23,ge6526c86ff+3a7c1ac5f1,ge79ae78c31+469cd937ee,gee10cc3b42+a6fc98d2e7,gf1cff7945b+21ad69e7e1,gfbcc870c63+9a11dc8c8f
LSST Data Management Base Package
|
Public Member Functions | |
__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") | |
np.ndarray | grad_fit_kernel (self, np.ndarray input_grad, np.ndarray kernel, np.ndarray model_fft) |
np.ndarray | prox_kernel (self, np.ndarray kernel) |
np.ndarray | fitted_kernel (self) |
cached_kernel (self) | |
Image | convolve (self, Image image, str|None mode=None, bool grad=False) |
update (self, int it, np.ndarray input_grad, Image model) | |
None | parameterize (self, Callable parameterization) |
Public Attributes | |
axes | |
fft_shape | |
Protected Attributes | |
_fitted_kernel | |
An observation that fits the PSF used to convolve the model.
Definition at line 36 of file fit_psf.py.
lsst.scarlet.lite.models.fit_psf.FittedPsfObservation.__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" ) |
Initialize a `FitPsfObservation` See `Observation` for a description of the parameters.
Reimplemented from lsst.scarlet.lite.observation.Observation.
Definition at line 39 of file fit_psf.py.
lsst.scarlet.lite.models.fit_psf.FittedPsfObservation.cached_kernel | ( | self | ) |
Definition at line 93 of file fit_psf.py.
Image lsst.scarlet.lite.models.fit_psf.FittedPsfObservation.convolve | ( | self, | |
Image | image, | ||
str | None | mode = None, | ||
bool | grad = False ) |
Convolve the model into the observed seeing in each band. Parameters ---------- image: The image to convolve mode: The convolution mode to use. This should be "real" or "fft" or `None`, where `None` will use the default `convolution_mode` specified during init. grad: Whether this is a backward gradient convolution (`grad==True`) or a pure convolution with the PSF.
Reimplemented from lsst.scarlet.lite.observation.Observation.
Definition at line 96 of file fit_psf.py.
np.ndarray lsst.scarlet.lite.models.fit_psf.FittedPsfObservation.fitted_kernel | ( | self | ) |
Definition at line 89 of file fit_psf.py.
np.ndarray lsst.scarlet.lite.models.fit_psf.FittedPsfObservation.grad_fit_kernel | ( | self, | |
np.ndarray | input_grad, | ||
np.ndarray | kernel, | ||
np.ndarray | model_fft ) |
Definition at line 76 of file fit_psf.py.
None lsst.scarlet.lite.models.fit_psf.FittedPsfObservation.parameterize | ( | self, | |
Callable | parameterization ) |
Convert the component parameter arrays into Parameter instances Parameters ---------- parameterization: Callable A function to use to convert parameters of a given type into a `Parameter` in place. It should take a single argument that is the `Component` or `Source` that is to be parameterized.
Definition at line 131 of file fit_psf.py.
np.ndarray lsst.scarlet.lite.models.fit_psf.FittedPsfObservation.prox_kernel | ( | self, | |
np.ndarray | kernel ) |
Definition at line 84 of file fit_psf.py.
lsst.scarlet.lite.models.fit_psf.FittedPsfObservation.update | ( | self, | |
int | it, | ||
np.ndarray | input_grad, | ||
Image | model ) |
Definition at line 126 of file fit_psf.py.
|
protected |
Definition at line 74 of file fit_psf.py.
lsst.scarlet.lite.models.fit_psf.FittedPsfObservation.axes |
Definition at line 69 of file fit_psf.py.
lsst.scarlet.lite.models.fit_psf.FittedPsfObservation.fft_shape |
Definition at line 71 of file fit_psf.py.