Turbulize Around Value

This compound applies Perlin or Simplex noise (4D) to add turbulence to any parameter using a mean value around which the turbulence values are calculated.

Plug its Value output into different ports of any compound, such as the Speed, Mass, and Size ports of the Emit compound, but there are many others that work.

For more information on turbulence, see Turbulizing Particle Values [ICE Particle Simulations].

Tasks: Particles/Modifiers, Deformation/Modifiers

Output Ports: Value

Base Value	The mean value around which the random Variance value is calculated in any XYZ direction. For example, if this value is 2 in Y and the Variance value is 1, the turbulence value possibilities would be any value between 1 and 3 in Y.
Variance	The amount of variance of the turbulence in any XYZ direction around either side of the Base Value.
Turbulence Scale	The amount of turbulence applied to the parameter value.
Animated	Toggles the activeness of the Animation Speed parameter. You can use this option when using an unsimulated ICE tree (such as if the point cloud's or object's ICETree node is in the Modeling region).
Animation Speed	If you selected Animated, you can change the noise frequency of the turbulence over time. This value is the speed at which the noise evolves.
Seed	Defines the sequence of random numbers used. If you require that two nodes generate different sets of values with the same parameters, simply assign them different seeds.
Complexity	Adds a fractal-like complexity to the noise which increases the level of detail of the noise pattern.
NoiseType	Uses either the Simplex or Perlin type of noise calculations. Perlin noise has spatial coherence, meaning that several different points in roughly the same location in space tend to have similar noise added to them. It interpolates between the random values. Perlin noise can help make objects more natural-looking by imitating the controlled random appearance of elements found in nature; that is, there is structure to the noise while still appearing fairly random. Simplex noise is similar to Perlin noise, but is less computationally complex. This is because it divides the space into equilateral triangles to interpolate between, which reduces the number of data points. This makes Simplex noise useful for producing noise over large spatial areas. Simplex noise has a well-defined and continuous gradient everywhere that can be computed fairly quickly, and has no noticeable directional artifacts.
Turbulence Center	The center of the turbulence effect in object local coordinates. You can modify this to offset the turbulence field.
Turbulence Center Movement	The amount of movement of the turbulence center in Softimage units per second.