radial_light — GFX2D light op

Data kinds: nonergb (an op determined by its arguments alone — it takes no image or data input)

Call: import gfx2d; gfx2d.radial_light(height, width, x, y, radius, intensity=1.0, falloff='smooth', color='emphasis', scheme='okabe_ito') (or opsgfx2d.get("radial_light"))

Usage

A radial light map, `rgb (H, W, 3), centred on (x, y)`.

`falloff`:

• `"smooth"(1 - t^2)^2`, compactly supported: exactly zero at and

beyond `radius`. The default, because a light that ends somewhere is the

only kind you can budget.

• `"linear"1 - t`, also compact.

• `"inverse_square"1 / (1 + (3t)^2)`, the physical law softened at

the origin. Not compactly supported: it is 10 % of peak at the nominal

radius and never reaches zero, so a scene full of these never gets dark.

The value at the centre is exactly `intensity * color`. This is a

*linear-light* quantity: add lights together, then encode once.

With `intensity > 1 the result leaves [0, 1]` — deliberately, because a

light map is not a picture. :func:light_mask accepts it; the operators that

take an `rgb` *image* reject it with the documented range error rather than

clipping a light budget behind your back.

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

gfx2d_scenepy -3.11 examples/gfx2d_scene.py

Ops the type connects to (they accept rgb as input)

srgb_to_linear · linear_to_srgb · blend_mode · light_mask · normal_map_decode · bloom · vignette · chromatic_aberration

Same category (light)

light_mask · normal_map_decode · normal_map_shade · shadow_cast_2d


*Provenance: gfx2d.py — GFX2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.