colour.colorimetry.sd_multi_leds_Ohno2005#

colour.colorimetry.sd_multi_leds_Ohno2005(peak_wavelengths: ArrayLike, half_spectral_widths: ArrayLike, peak_power_ratios: ArrayLike | None = None, shape: SpectralShape = SPECTRAL_SHAPE_DEFAULT, **kwargs: Any) → SpectralDistribution[source]#

Generate a multi-LED spectral distribution with the specified spectral shape at specified peak wavelengths, half spectral widths \(\Delta\lambda_{0.5}\), and peak power ratios according to the Ohno (2005) method.

The multi-LED spectral distribution is computed by summing multiple single LED spectral distributions generated with the colour.sd_single_led_Ohno2005() function.

Parameters:

  • peak_wavelengths (ArrayLike) – Wavelengths at which the multi-LED spectral distribution will peak, i.e., the peak wavelengths for each constituent single LED spectral distribution.

  • half_spectral_widths (ArrayLike) – Half spectral widths \(\Delta\lambda_{0.5}\) for each constituent single LED spectral distribution.

  • peak_power_ratios (ArrayLike | None) – Peak power ratios for each constituent single LED spectral distribution. If not specified, defaults to unity for all LEDs.

  • shape (SpectralShape) – Spectral shape used to create the spectral distribution.

  • kwargs (Any) – {colour.colorimetry.sd_single_led_Ohno2005()}, See the documentation of the previously listed definition.

Returns:

Multi-LED spectral distribution.

Return type:

colour.SpectralDistribution

Notes

References

[Ohn05], [OD08]

Examples

>>> sd = sd_multi_leds_Ohno2005(
...     np.array([457, 530, 615]),
...     np.array([20, 30, 20]),
...     np.array([0.731, 1.000, 1.660]),
... )
>>> sd.shape
SpectralShape(360.0, 780.0, 1.0)
>>> sd[500]
0.1295132...
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