How to Write a code to automatically generate the planckian locus in (u,v) space [duplicate]

This question already has an answer here:

in the CIE XYZ color space the three coordinates defining an electromagnetic spectrum are given by

XT=∫x( λ ) M( λ , T )dλ, YT=∫y( λ ) M( λ ,T )dλ, ZT=∫z( λ) M( λ ,T )d λ,

where M(λ,T) is the spectral radiant exitance of the light being viewed, and x ( λ ) , y ( λ) ,z ( λ) are the color matching functions of the CIE standard colormetric observer , shown in the diagram below and λ is the wavelength. the planckian locus is determined by substituting into the above equations the black body spectral radiant exitance, which is given by Planck's law : where:

c1 = 2πhc2 is the first radiation constant c2 = hc/k is the second radiation constant

and

M is the black body spectral radiant exitance (power per unit area per unit wavelength: watt per square meter per meter (W/m3))

T is the temperature of the black body

h is Planck's constant

c is the speed of light

k is Boltzmann's constant

this will give the planckian locus in CIE XYZ color space. if these coordintaes are XT, YT, ZT, where T is the temperature, then CIE chromaticity coordinates will be

A pair of chromaticity coordinates (x,y) can be expressed in MacAdam's chromaticity scale (u,v) as A planckian locus can be mapped out in the (u,v) chromaticity space as illustration below my question is how to write a code to automatically generate the planckian locus (u,v) space as shown in figure above. The numerical data file for the color matching functions x( λ ) , y( λ) ,z( λ) can be downloaded from http://comsics.usm.my/tlyoon/teaching/ZCE111_1516SEM2/data/StdObsFuncs.xls as Excel File.

second is Correlated Color Temperature (CCT) the tristimulus values (X,Y,Z) for a color with a spectral power distribution S(λ) are given in terms of X=∫S( λ )x( λ)d λ , Y=∫S( λ)y ( λ)d λ , Z=∫S ( λ )z( λ)d λ ,

where λ is the wavelength of the equivalent monochromatic experimentally example from a LED light bulb.

the numerical data from http://comsics.usm.my/tlyoon/teaching/ZCE111_1516SEM2/data/spectral_power_distribution.dat Note that the numerical data for S(λ) is expressed in SI unit (In particular the wavelength values in the first column) is in unit of meter).

how do i modify the code to obtain chromaticity coordinates for the spectrum S(λ). Call it Cs (us , vs ) .

lastly how do i extent the code to do the following: identify a point on the planckian locus PN (uN , vN ) at which the normal line at the point pass through Cs (us , vs ). identify the temperature corresponds to the planckian locus point PN (uN , vN ) . This temperature is the CCT of the spectrum S(λ).

Output a diagram displaying (i) the Planckian curve, (ii) the point Cs (us , vs ), (iii) PN (uN , vN ), (iv) the normal line that passes through both Cs (us , vs ) and PN (uN , vN ) , like the sample below. marked as duplicate by MarcoB, Yves Klett, user9660, m_goldberg, xyzMay 30 '16 at 9:09

• Have you seen this? – J. M. will be back soon May 29 '16 at 9:40
• @J.M. i tried to search already. just the thing that i need. thank you! – Nabil May 29 '16 at 13:43

Just to get you started:

cpoly = First[Cases[ChromaticityPlot[{}], _GraphicsComplex, ∞]];
xy2uv = LinearFractionalTransform[{DiagonalMatrix[{4, 6}], {0, 0}, {-2, 12}, 3}];

planckLocus[t_?NumericQ] := With[{planck = 1/((Exp[1.43877696*^7/(# t)] - 1) #^5) &},
Normalize[({{1.0478112, 0.022886602, -0.050126976},
{0.029542398, 0.9904844, -0.017049096},
{-0.0092344897, 0.015043617, 0.75213163}} .
Normalize[planck[ImageColorOperationsDump\$wavelengths] .
ImageColorOperationsDumptris, #[] &]), Total]]

Show[Graphics[MapAt[xy2uv, cpoly, 1], Frame -> True,
PlotRange -> {{0.1, 0.45}, {0.25, 0.4}}, PlotRangeClipping -> True],
ParametricPlot[xy2uv[Most[planckLocus[t]]], {t, 1000, 10000}, PlotStyle -> Black]] • Note that ImageColorOperationsDump... are imported due to ChromaticityPlot being mentioned. If you're trying to just use the planckLocus function without the code before its definition in this example, be sure to at least have something like ChromaticityPlot; in your code. – Ruslan Jan 20 at 14:11