fibpy

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🐚 Fibonacci spiral sampling utilities

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[![License][s1]][li]

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[li]: https://raw.githubusercontent.com/matt77hias/fibpy/master/LICENSE.txt

# fibpy

## About
Fibonacci spiral sampling (Quasi-Monte Carlo techniques) utilities.

## Use

### Sampling in unit circle (with jagged boundary)

<img src="res/circle_mode0_alpha0.png" width="410">
<img src="res/circle_mode1_alpha0.png" width="410">

Default perturbation - Random perturbation

### Sampling in unit circle (with smooth boundary)

<img src="res/circle_mode0_alpha2.png" width="410">
<img src="res/circle_mode1_alpha2.png" width="410">

Default perturbation - Random perturbation

### Sampling on unit hemisphere

<img src="res/hemisphere_mode0.png" width="410">
<img src="res/hemisphere_mode1.png" width="410">

Default perturbation - Random perturbation

### Sampling on unit sphere

<img src="res/sphere_mode0.png" width="410">
<img src="res/sphere_mode1.png" width="410">

Default perturbation - Random perturbation

### Cosine weighted sampling on unit hemisphere

<img src="res/cosineweightedhemisphere_mode0.png" width="410">
<img src="res/cosineweightedhemisphere_mode1.png" width="410">

Default perturbation - Random perturbation

```python
# Code
test.test()
```

## Bibliography
ROBERTS M.: [*Evenly distributing points on a sphere*](http://extremelearning.com.au/evenly-distributing-points-on-a-sphere/), 2018.

fibpy

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