npix_rect_center
npix_rect_center(x, y, w, h, theta=0.0, *, shape, mask=None, validate=True)Return center-selected rotated-rectangle-aperture effective in-frame pixel counts.
Parameters
x, y : scalar or array_like-
Aperture center coordinates in pixel units. Shapes must match after
numpy.atleast_1d. The return shape matches that broadcast-free input shape, so scalar inputs return one-element arrays. w, h : float-
Full rectangle width and height in pixels.
wis measured along the rectangle’s local x axis, andhalong its local y axis. Attheta=0, the width axis is aligned with the image x axis and the height axis is aligned with the image y axis. theta : float, optional = 0.0-
Rotation angle in radians, measured counterclockwise from the positive image x axis to the rectangle’s local width axis.
shape : tuple[int, int]-
Image shape as
(ny, nx)used to clip the aperture footprint. mask : array_like of bool, optional = None-
Boolean image mask with shape
shape.Truepixels are excluded from the returned effective pixel count.
Returns
npix : ndarray-
Effective pixel count inside the image frame.
Notes
center mode uses binary weights selected by pixel-center inclusion. The boundary convention matches Photutils for supported shapes: pixels exactly on the outer boundary are excluded, and annuli include the inner boundary while excluding the outer boundary.