Halfway through the project, we fixated on a widely circulated photo of the lunar eclipse blue band: half the disk submerged in deep, saturated blue. Using that image as reference, we ran the model over and over — it stubbornly produced only a faint cyan tint. For a stretch, we genuinely suspected we were missing some physical mechanism. Eventually we traced the photo back. The author runs a landscape-photography post-processing tutorial channel; the post title itself describes the editing workflow: HDR stack multiple exposures, then drag the cyan channel's saturation in HSL until it approaches neon. The same author has also noted that this blue is nearly imperceptible to the naked eye — you need HDR to excavate those colors buried in the shadows.
The physics pointed in a different direction. GOES-16 meteorological satellite measurements during lunar eclipses give R/B ratios in the 0.8–1.0 range. In unprocessed raw frames from professional astrophotography, the blue band appears as nothing more than a faint cyan line hugging the Moon's edge. We never tweaked any physical parameter to nudge our results toward that viral image, and piece by piece, the measured data lined up.
What's interesting is that our own model did produce a deeply saturated cyan — under the right conditions. When we treated the Sun as a point source — a simplification, obviously — the model spat out a band that was vivid and sharp, with R/B at the bluest point dropping as low as 0.41. This kind of simplification actually has precedent in the literature. A common approach for handling the extended solar disk is to first derive the full formalism under a point-source approximation, then apply a geometric compensation afterward. Mallama 2022's review of lunar eclipse modeling adopts the "for a point source of light" assumption, deriving refraction formulas in the point-source framework and then applying a blurring correction. I adapted that method to our scenario — and the results were off. The computed umbral brightness differed from observations by several orders of magnitude.
In the end we abandoned the approximation route and went back to the brute-force approach: no closed-form derivation, no geometric compensation patch. Instead, we performed multiple integration over all points on the solar disk. Sample many points, simulate many rays, and trace refraction, scattering, and absorption independently for each one. Once the multiple integration ran through, the deep cyan immediately diluted — R/B retreated from 0.41 to 0.71, the tint softened, the band widened and blurred, and its position shifted inward. That's what a real lunar eclipse actually looks like. The saturated blue in those viral images really does exist — in a point-source world. But our Sun is a 32-arcminute disk, and it doesn't play along.
The human visual system adds another layer. The absolute chromaticity of this band leans blue: no matter how you tune the model — remove Rayleigh scattering, add aerosol, simulate multiple-scattering backfill — it never shifts toward cyan-green. People perceive it as cyan or greenish because it sits right next to a vast expanse of warm red blood-moon. After the human visual system adapts chromatically to that warm backdrop, this comparatively cool band registers as turquoise-green. Turquoise is a relative color. We did not insert any extra mechanism into the model to make it green in an absolute sense.