Classes
class	CatalogExtras

class	ComparableCatalog

class	ConvertCatalogCoordinatesConfig

class	MatcherProbabilistic

class	MatchProbabilisticConfig

Functions
	_mul_column (np.array column, float value)

	_radec_to_xyz (ra, dec)

	default_value (dtype)

Variables
	logger_default = logging.getLogger(__name__)

Function Documentation

◆ _mul_column()

lsst.meas.astrom.matcher_probabilistic._mul_column	(	np.array	column,
		float	value )

protected

Definition at line 43 of file matcher_probabilistic.py.

def _mul_column(column: np.array, value: float):
    if value is not None and value != 1:
        column *= value
    return column
 
 

◆ _radec_to_xyz()

lsst.meas.astrom.matcher_probabilistic._radec_to_xyz	(		ra,
			dec )

protected

Convert input ra/dec coordinates to spherical unit vectors.

Parameters
----------
ra, dec: `numpy.ndarray`
    Arrays of right ascension/declination in degrees.

Returns
-------
vectors : `numpy.ndarray`, (N, 3)
    Output unit vectors.

Definition at line 49 of file matcher_probabilistic.py.

def _radec_to_xyz(ra, dec):
    """Convert input ra/dec coordinates to spherical unit vectors.
 
    Parameters
    ----------
    ra, dec: `numpy.ndarray`
        Arrays of right ascension/declination in degrees.
 
    Returns
    -------
    vectors : `numpy.ndarray`, (N, 3)
        Output unit vectors.
    """
    if ra.size != dec.size:
        raise ValueError('ra and dec must be same size')
    ras = np.radians(ra)
    decs = np.radians(dec)
    vectors = np.empty((ras.size, 3))
 
    sin_dec = np.sin(np.pi / 2 - decs)
    vectors[:, 0] = sin_dec * np.cos(ras)
    vectors[:, 1] = sin_dec * np.sin(ras)
    vectors[:, 2] = np.cos(np.pi / 2 - decs)
 
    return vectors
 
 
@dataclass

◆ default_value()

lsst.meas.astrom.matcher_probabilistic.default_value ( dtype )

Definition at line 440 of file matcher_probabilistic.py.

def default_value(dtype):
    if dtype is str:
        return ''
    elif np.issubdtype(dtype, np.signedinteger):
        return np.inf
    elif np.issubdtype(dtype, np.unsignedinteger):
        return -np.inf
    return None
 
 

Variable Documentation

◆ logger_default

lsst.meas.astrom.matcher_probabilistic.logger_default = logging.getLogger(__name__)

Definition at line 40 of file matcher_probabilistic.py.

Classes