photutils/psf/models.py
def evaluate(self, x, y, flux, x_0, y_0):
        """
        Discrete PRF model evaluation.

        Given a certain position and flux the corresponding image of the
        PSF is chosen and scaled to the flux. If x and y are outside the
        boundaries of the image, zero will be returned.

        Parameters
        ----------
        x : float
            x coordinate array in pixel coordinates.
        y : float
            y coordinate array in pixel coordinates.
        flux : float
            Model flux.
        x_0 : float
            x position of the center of the PRF.
        y_0 : float
            y position of the center of the PRF.
        """

        # Convert x and y to index arrays
        x = (x - x_0 + 0.5 + self.prf_shape[1] // 2).astype('int')
        y = (y - y_0 + 0.5 + self.prf_shape[0] // 2).astype('int')

        # Get subpixel indices
        y_sub, x_sub = subpixel_indices((y_0, x_0), self.subsampling)

        # Out of boundary masks
        x_bound = np.logical_or(x < 0, x >= self.prf_shape[1])
        y_bound = np.logical_or(y < 0, y >= self.prf_shape[0])
        out_of_bounds = np.logical_or(x_bound, y_bound)

        # Set out of boundary indices to zero
        x[x_bound] = 0
        y[y_bound] = 0
        result = flux * self._prf_array[int(y_sub), int(x_sub)][y, x]

        # Set out of boundary values to zero
        result[out_of_bounds] = 0
        return result

        Discrete PRF model evaluation.

        Given a certain position and flux the corresponding image of the
        PSF is chosen and scaled to the flux. If x and y are outside the
        boundaries of the image, zero will be returned.

        Parameters
        ----------
        x : float
            x coordinate array in pixel coordinates.
        y : float
            y coordinate array in pixel coordinates.
        flux : float
            Model flux.
        x_0 : float
            x position of the center of the PRF.
        y_0 : float
            y position of the center of the PRF.
        
Discrete PRF model evaluation.
Given a certain position and flux the corresponding image of the
PSF is chosen and scaled to the flux. If x and y are outside the
boundaries of the image, zero will be returned.

Parameters

x : float
x coordinate array in pixel coordinates.
y : float
y coordinate array in pixel coordinates.
flux : float
Model flux.
x_0 : float
x position of the center of the PRF.
y_0 : float
y position of the center of the PRF.
Discrete PRF model evaluation . Given a certain position and flux the corresponding image of the PSF is chosen and scaled to the flux . If x and y are outside the boundaries of the image zero will be returned . Parameters x : float x coordinate array in pixel coordinates . y : float y coordinate array in pixel coordinates . flux : float Model flux . x_0 : float x position of the center of the PRF . y_0 : float y position of the center of the PRF .
def evaluate(self, x, y, flux, x_0, y_0):
        x = (x - x_0 + 0.5 + self.prf_shape[1] // 2).astype('int')
        y = (y - y_0 + 0.5 + self.prf_shape[0] // 2).astype('int')
        y_sub, x_sub = subpixel_indices((y_0, x_0), self.subsampling)
        x_bound = np.logical_or(x < 0, x >= self.prf_shape[1])
        y_bound = np.logical_or(y < 0, y >= self.prf_shape[0])
        out_of_bounds = np.logical_or(x_bound, y_bound)
        x[x_bound] = 0
        y[y_bound] = 0
        result = flux * self._prf_array[int(y_sub), int(x_sub)][y, x]
        result[out_of_bounds] = 0
        return result
def evaluate ( self , x , y , flux , x_0 , y_0 ) : x = ( x - x_0 + 0.5 + self . prf_shape [ 1 ] // 2 ) . astype ( 'int' ) y = ( y - y_0 + 0.5 + self . prf_shape [ 0 ] // 2 ) . astype ( 'int' ) y_sub , x_sub = subpixel_indices ( ( y_0 , x_0 ) , self . subsampling ) x_bound = np . logical_or ( x < 0 , x >= self . prf_shape [ 1 ] ) y_bound = np . logical_or ( y < 0 , y >= self . prf_shape [ 0 ] ) out_of_bounds = np . logical_or ( x_bound , y_bound ) x [ x_bound ] = 0 y [ y_bound ] = 0 result = flux * self . _prf_array [ int ( y_sub ) , int ( x_sub ) ] [ y , x ] result [ out_of_bounds ] = 0 return result
Discrete PRF model evaluation.
Discrete PRF model evaluation .
"""
        Discrete PRF model evaluation.

        Given a certain position and flux the corresponding image of the
        PSF is chosen and scaled to the flux. If x and y are outside the
        boundaries of the image, zero will be returned.

        Parameters
        ----------
        x : float
            x coordinate array in pixel coordinates.
        y : float
            y coordinate array in pixel coordinates.
        flux : float
            Model flux.
        x_0 : float
            x position of the center of the PRF.
        y_0 : float
            y position of the center of the PRF.
        """ # Convert x and y to index arrays # Get subpixel indices # Out of boundary masks # Set out of boundary indices to zero # Set out of boundary values to zero
self
x
y
flux
x_0
y_0