The manual states: "Color grade uses color temperature to map the probability of the waveforms. The greater the probability that the waveform appears in a pixel, the warmer the color of the pixel. The smaller probability, the colder the color temperature of that pixel."
I seem to be getting the opposite?
EasyWaveX: 2*exp(-4*x)*sin(24*pi*x)
In the end it is all about sample density at single pixel.
40000 samples are visually compressed on 1024x600 pixels.
Where signal is changing slowly you get many samples compressed horizontaly in same pixel.
If signal has fast edges, it gets ploted spread out in vertical too.
Put fast edge squarewave in input.
Vertical edges can be just few samples verticaly. They will be thin and very faint. Tops and bottom of signal will be thick and bright..