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]#
Return a multi LED spectral distribution of given spectral shape at given peak wavelengths, half spectral widths \(\Delta\lambda_{0.5}\) and peak power ratios according to Ohno (2005) method.
The multi LED spectral distribution is generated using many single LED spectral distributions generated with
colour.sd_single_led_Ohno2005()
definition.- Parameters:
peak_wavelengths (ArrayLike) – Wavelengths the multi LED spectral distribution will peak at, i.e., the peaks for each generated single LED spectral distributions.
half_spectral_widths (ArrayLike) – Half spectral widths \(\Delta\lambda_{0.5}\).
peak_power_ratios (ArrayLike | None) – Peak power ratios for each generated single LED spectral distributions.
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:
Notes
By default, the spectral distribution will use the shape given by
colour.SPECTRAL_SHAPE_DEFAULT
attribute.
References
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...