# colour.temperature.xy_to_CCT_Kang2002#

colour.temperature.xy_to_CCT_Kang2002(xy: ArrayLike, optimisation_kwargs: = None) FloatingOrNDArray[source]#

Return the correlated colour temperature $$T_{cp}$$ from given CIE xy chromaticity coordinates using Kang et al. (2002) method.

Parameters
• xy (ArrayLike) – CIE xy chromaticity coordinates.

• optimisation_kwargs (Optional[Dict]) – Parameters for scipy.optimize.minimize() definition.

Returns

Correlated colour temperature $$T_{cp}$$.

Return type

Warning

Kang et al. (2002) does not give an analytical inverse transformation to compute the correlated colour temperature $$T_{cp}$$ from given CIE xy chromaticity coordinates, the current implementation relies on optimization using scipy.optimize.minimize() definition and thus has reduced precision and poor performance.

References

[KMH+02]

Examples

>>> xy_to_CCT_Kang2002(np.array([0.31342600, 0.32359597]))
...
6504.3893128...