apsum_pill_ann_exact

apsum_pill_ann_exact(
    data,
    x,
    y,
    w_in,
    a_in,
    b_in,
    w_out,
    a_out,
    b_out,
    theta_in=0.0,
    theta_out=None,
    *,
    mask=None,
    return_npix=True,
    validate=True,
)

Return exact pill-annulus aperture sums for one or many aperture centers.

Parameters

data : array_like

Two-dimensional image. For maximum performance with raw contiguous arrays, use import astroapers._rust as aapr and call the raw functions directly.

x, y : scalar or array_like

Aperture center coordinates in pixel units. Inputs are converted to contiguous float64 arrays. Shapes must match after numpy.atleast_1d. The return shape matches that broadcast-free input shape, so scalar inputs return one-element arrays.

w_in, a_in, b_in, w_out, a_out, b_out : float

Inner and outer pill dimensions in pixels. Inner dimensions must be smaller than the corresponding outer dimensions.

theta_in : float, optional = 0.0

Inner pill rotation angle in radians.

theta_out : float or None, optional = None

Outer pill rotation angle in radians. If None, uses theta_in.

mask : array_like of bool, optional = None

Boolean image mask with the same shape as data. True pixels are excluded from both the aperture sum and effective pixel count. Values are converted to boolean.

return_npix : bool, optional = True

If True, return (apsum, npix). If False, return only apsum.

Returns

apsum : ndarray

Sum of the unmasked data values multiplied by the aperture weights.

npix : ndarray

Effective in-frame pixel count, returned only when return_npix=True. This is the sum of aperture weights after image clipping and mask exclusion.

Notes

For more raw-call patterns, inspect astroapers.kernels; it is the Python layer that calls _rust internally. Pill aperture summation currently uses Rust-generated bbox-tight pill weights and the same BoundingBox.apsum reduction.