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LSST Data Management Base Package
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Classes | Namespaces | Functions | Variables
parametric.py File Reference

Go to the source code of this file.

Classes

class  lsst.scarlet.lite.models.parametric.CartesianFrame
 
class  lsst.scarlet.lite.models.parametric.EllipseFrame
 
class  lsst.scarlet.lite.models.parametric.ParametricComponent
 
class  lsst.scarlet.lite.models.parametric.EllipticalParametricComponent
 

Namespaces

namespace  lsst
 
namespace  lsst.scarlet
 
namespace  lsst.scarlet.lite
 
namespace  lsst.scarlet.lite.models
 
namespace  lsst.scarlet.lite.models.parametric
 

Functions

np.ndarray lsst.scarlet.lite.models.parametric.gaussian2d (np.ndarray params, EllipseFrame ellipse)
 
np.ndarray lsst.scarlet.lite.models.parametric.grad_gaussian2 (np.ndarray input_grad, np.ndarray params, np.ndarray morph, np.ndarray spectrum, EllipseFrame ellipse)
 
np.ndarray lsst.scarlet.lite.models.parametric.circular_gaussian (Sequence[int] center, CartesianFrame frame, float sigma)
 
np.ndarray lsst.scarlet.lite.models.parametric.grad_circular_gaussian (np.ndarray input_grad, np.ndarray params, np.ndarray morph, np.ndarray spectrum, CartesianFrame frame, float sigma)
 
 lsst.scarlet.lite.models.parametric.integrated_gaussian (np.ndarray params, CartesianFrame frame)
 
np.ndarray lsst.scarlet.lite.models.parametric.grad_integrated_gaussian (np.ndarray input_grad, np.ndarray params, np.ndarray morph, np.ndarray spectrum, CartesianFrame frame)
 
np.ndarray lsst.scarlet.lite.models.parametric.bounded_prox (np.ndarray params, np.ndarray proxmin, np.ndarray proxmax)
 
np.ndarray lsst.scarlet.lite.models.parametric.sersic (np.ndarray params, EllipseFrame ellipse)
 
np.ndarray lsst.scarlet.lite.models.parametric.grad_sersic (np.ndarray input_grad, np.ndarray params, np.ndarray morph, np.ndarray spectrum, EllipseFrame ellipse)
 

Variables

int lsst.scarlet.lite.models.parametric.MIN_RADIUS = 1e-20
 
 lsst.scarlet.lite.models.parametric.SQRT_PI_2 = np.sqrt(np.pi / 2)
 
 lsst.scarlet.lite.models.parametric.SERSIC_B1 = gamma.ppf(0.5, 2)