LSST Applications: /j/snowflake/release/lsstsw/stack/lsst-scipipe-12.2.0/Linux64/scarlet_lite/ge1c02a5578+b0138be388/python/lsst/scarlet/lite/models/parametric.py File Reference

LSST Applications 30.0.7,g0e76e35be5+e8e946ae08,g19811a7679+138f7293ba,g199a45376c+5e234f8357,g1fd858c14a+2f48dbc4c4,g262e1987ae+fb36cac54d,g29ae962dfc+d9108a0941,g2c21b0017a+4f59a27f16,g31e44d4a5c+b0138be388,g33ac35c1f1+28b9f72785,g35bb328faa+b0138be388,g40c9b15c53+823ad735c1,g47891489e3+bcc48a0b46,g53246c7159+b0138be388,g64539dfbff+e8e946ae08,g67b6fd64d1+bcc48a0b46,g74acd417e5+422380537a,g76965917b2+a5ca99c4d9,g786e29fd12+796b79145d,g7aefaa3e3d+dc0c200193,g86b635cae8+734fe384f0,g87389fa792+d8b5378923,g89139ef638+bcc48a0b46,g8bbb235e95+3f4f7f9447,g8ea07a8fe4+78a4c88802,g9290983e33+ffdc83c6f7,g92c671f44c+e8e946ae08,gaa753fd333+03f406da14,gbf99507273+b0138be388,gc49b57b85e+8df26ee1f0,gca7fc764a6+bcc48a0b46,gd7ef33dd92+bcc48a0b46,gdab6d2f7ff+422380537a,ge1c02a5578+b0138be388,ge410e46f29+bcc48a0b46,ge80df9fc40+e6db5413d1,geaed405ab2+1de65a85c6,gf5dcc679e7+35a0ce2edd,gf5f1c85443+e8e946ae08

LSST Data Management Base Package

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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)