Put both masses on one angular map
Use the Einstein radius of the total lens mass as the angular unit. Define , the normalized masses and , and the separation . Put their center of mass at zero and the binary axis along the horizontal coordinate.
An image has two coordinates. Write them as the complex number , where the imaginary unit satisfies . Its conjugate reverses the vertical sign. This notation packages an ordinary pair of real coordinates; it does not introduce another physical dimension.
Write the source direction as . The two gravitational deflections add, giving
For example, . The real and imaginary parts are just the horizontal and vertical deflection components. A program can evaluate the equation using two real numbers throughout.
Reading: Bozza et al., VBMicroLensing, arXiv:2410.13660v1; A&A 694 A219 (2025)
An image pair appears at a critical direction
Now move a small image-plane square through the same equation. Usually it maps to a small source-plane patch. At special image directions the map crushes one local dimension: the signed area determinant vanishes. Those directions form critical curves in the image plane.
Map the critical directions back through the lens equation. Their source directions form the caustics. A point source can have three or five physical images in a generic binary configuration. Crossing a fold of a caustic creates or destroys two images, one of each orientation. The total light adds from every physical image.
The point-source value becomes singular on a caustic. That mathematical singularity tells us that a source with no size is no longer the right object. A stellar disk supplies light from a range of source directions. Its integrated image area remains finite.
Reading: Bozza et al., VBMicroLensing, arXiv:2410.13660v1; A&A 694 A219 (2025) · Bozza et al. (2018), VBBinaryLensing finite-source methods
Add the surface brightness over the images
Let the source disk have radius in Einstein-radius units and center . Surface brightness at radius from its center is in an arbitrary but fixed radiance unit. An integral adds contributions from tiny pieces of area; denotes one image-plane piece.
For a uniform star the intensity cancels. Magnification is the sum of all image areas divided by the original disk area. This gives a direct calculation that never has to connect a newly born image branch to the wrong old branch.
A numerical image can use the same area contributions. If a calculated square overlaps several display pixels, distribute its integrated light by overlap area. Adding the linear radiance values stored in that grid recovers the photometric total, apart from the separately measured storage rounding. A contrast transformation can help the eye see faint images; its colors must be decoded before doing photometry. Refining a picture and refining a flux are parts of the same image calculation.
Reading: Bozza et al. (2018), VBBinaryLensing finite-source methods · Bozza et al., VBMicroLensing, arXiv:2410.13660v1; A&A 694 A219 (2025)
Choose a stellar edge profile with a known mean
A useful linear limb law is expressed in terms of . The center has and the edge has . Set the disk-averaged intensity to and choose .
The normalization follows by adding circular annuli. An annulus of radius and width has area . The disk average of the square-root factor is two thirds, so the average of the bracket is one.
Some software uses the ordinary linear coefficient . Matching the same normalized profile gives . Entering Gamma directly into a field expecting the other coefficient would change the star being modeled.
Reading: Bozza et al. (2018), VBBinaryLensing finite-source methods
Calculate an aligned disk before a binary crossing
A uniform star centered behind one point mass gives an independent check. Map its circular outer boundary through the two scalar roots from the preceding chapter. The bright image is an annulus with inner and outer radii
For the result is . The point-source formula at perfect alignment would be infinite. The finite ring is an area we can calculate.
For a binary worked example, fix , , , a vertical source track at horizontal direction , and time . The independent image-area calculation gives for source radii . These are synthetic calculations at the same source center.
A larger star mixes a broader range of directions around this particular high-magnification feature. The full curves show how that averaging also broadens the feature. The effect depends on position: near a feature, a larger disk can also include newly bright directions. At another position its magnification may rise.
Reading: Bozza et al. (2018), VBBinaryLensing finite-source methods
Average over the exposure after following the motion
Let the source move along . The angle rotates its track relative to the binary axis. The signed offset gives its closest distance to the center of mass. The crossing time sets the clock.
The image can be averaged with those same positive time weights. The result is a blurred set of image areas whose total still matches the measured-light prediction. An unrelated smoothing filter on a finished curve would lose that connection.
The interactive calculation uses a static dark binary, straight source motion and geometric optics. The source profile and exposure are explicit. The offline event exercise later adds the observer’s changing position and compares it with this simpler trajectory.
Reading: Bozza et al. (2018), VBBinaryLensing finite-source methods · Bozza et al., VBMicroLensing, arXiv:2410.13660v1; A&A 694 A219 (2025)