LSST Applications g04e9c324dd+8c5ae1fdc5,g134cb467dc+1b3060144d,g18429d2f64+f642bf4753,g199a45376c+0ba108daf9,g1fd858c14a+2dcf163641,g262e1987ae+7b8c96d2ca,g29ae962dfc+3bd6ecb08a,g2cef7863aa+aef1011c0b,g35bb328faa+8c5ae1fdc5,g3fd5ace14f+53e1a9e7c5,g4595892280+fef73a337f,g47891489e3+2efcf17695,g4d44eb3520+642b70b07e,g53246c7159+8c5ae1fdc5,g67b6fd64d1+2efcf17695,g67fd3c3899+b70e05ef52,g74acd417e5+317eb4c7d4,g786e29fd12+668abc6043,g87389fa792+8856018cbb,g89139ef638+2efcf17695,g8d7436a09f+3be3c13596,g8ea07a8fe4+9f5ccc88ac,g90f42f885a+a4e7b16d9b,g97be763408+ad77d7208f,g9dd6db0277+b70e05ef52,ga681d05dcb+a3f46e7fff,gabf8522325+735880ea63,gac2eed3f23+2efcf17695,gb89ab40317+2efcf17695,gbf99507273+8c5ae1fdc5,gd8ff7fe66e+b70e05ef52,gdab6d2f7ff+317eb4c7d4,gdc713202bf+b70e05ef52,gdfd2d52018+b10e285e0f,ge365c994fd+310e8507c4,ge410e46f29+2efcf17695,geaed405ab2+562b3308c0,gffca2db377+8c5ae1fdc5,w.2025.35
LSST Data Management Base Package
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operators.py File Reference

Go to the source code of this file.

Classes

class  lsst.scarlet.lite.operators.Monotonicity
 

Namespaces

namespace  lsst
 
namespace  lsst.scarlet
 
namespace  lsst.scarlet.lite
 
namespace  lsst.scarlet.lite.operators
 

Functions

np.ndarray lsst.scarlet.lite.operators.prox_connected (np.ndarray morph, Sequence[Sequence[int]] centers)
 
tuple[int, int] lsst.scarlet.lite.operators.get_peak (np.ndarray image, tuple[int, int] center, int radius=1)
 
tuple[np.ndarray, np.ndarray, tuple[int, int, int, int]] lsst.scarlet.lite.operators.prox_monotonic_mask (np.ndarray x, tuple[int, int] center, int center_radius=1, float variance=0.0, int max_iter=3)
 
np.ndarray lsst.scarlet.lite.operators.uncentered_operator (np.ndarray x, Callable func, tuple[int, int]|None center=None, float|None fill=None, **kwargs)
 
 lsst.scarlet.lite.operators.prox_sdss_symmetry (np.ndarray x)
 
np.ndarray lsst.scarlet.lite.operators.prox_uncentered_symmetry (np.ndarray x, tuple[int, int]|None center=None, float|None fill=None)