Skip to main content
Back to top
Ctrl
+
K
Quick Start Guide
Real-World Example
How To …
Sample from Posterior
Use Neural Priors
Fit Correlated Noise
Fit Multiple Observations
Fit Transients
Questionnaire
Validation
API Documentation
scarlet2
Scenery
Parameterization
Box
Frame
Parameter
Parameters
Module
Morphology
ProfileMorphology
GaussianMorphology
SersicMorphology
StarletMorphology
Observation
CorrelatedObservation
PSF
ArrayPSF
GaussianPSF
Scene
Component
DustComponent
Source
PointSource
Spectrum
StaticArraySpectrum
TransientArraySpectrum
Starlet
fit
sample
check_fit
check_observation
check_scene
check_source
relative_step
set_validation
scarlet2.constraint
unit_disk
scarlet2.fft
convolve
deconvolve
good_fft_size
inverse
transform
scarlet2.init
best_box_moments
boxed_moments
compact_morphology
from_gaussian_moments
pixel_spectrum
standardize_moments
scarlet2.interpolation
Interpolant
Lanczos
Quintic
resample2d
resample3d
resample_fourier
resample_hermitian
scarlet2.io
model_from_h5
model_to_h5
scarlet2.nn
ScorePrior
calc_grad
pad_back
pad_fwd
vgrad
scarlet2.measure
Moments
binomial
centroid
correlation_function
flux
forced_photometry
fwhm
max_pixel
snr
scarlet2.plot
AsinhAutomaticNorm
AsinhNorm
AsinhPercentileNorm
LinearNorm
LinearPercentileNorm
Norm
channels_to_rgb
confidence
cut_square_box
hallucination_score
hvp
hvp_grad
hvp_rad
img_to_3channel
img_to_rgb
log_like
neural_grad
observation
scene
sources
scarlet2.renderer
ChannelRenderer
ConvolutionRenderer
HashableSlice
LanczosResamplingRenderer
Renderer
ResamplingRenderer
TrimSpatialBox
scarlet2.wavelets
Starlet
bspline_convolve
get_scales
starlet_reconstruction
starlet_transform
Repository
Suggest edit
Open issue
.rst
.pdf
hvp_rad
Contents
hvp_rad()
hvp_rad
#
scarlet2.plot.
hvp_rad
(
hvp
,
shape
)
[source]
#
Approximate the diagonal of the Hessian
Contents
hvp_rad()
