[Physics] How to get Intensity over a range of wavelengths from a Total Intensity

electromagnetic-radiationopticsthermal-radiation

This is a theory vs experiment problem for me I think in that – as usual – I think I know the theory, but when it comes time to run an experiment, I can't actually extract squat.

So, here is my light source:

I am using the Cold White LED (MCWHL2). If you scroll down a bit, you'll see the LED normalized intensity vs. wavelength profiles for all the LEDs. The black line on this graph is my LED. As you can see, it meanders instead of being a simple Guassian-like thing.

I measure the intensity of this light by using this power meter: Scientech Astral AD30 meter – which displays power and energy – with an AC2501 detector. Specs are here . So I'm calculating total intensity by dividing by the area of the beam.

Now, here's my question: say I get a reading of $ 10\rm\frac{mW}{cm^2} $. If I want to know what is the intensity of the output only over the range 400nm to 455 nm, based on the Intensity vs Wavelength graphs and the characteristics of the meter and detector, what do I do?

Now, Planck's equation for a black body was where I first looked. My procedure was to find the total intensity for the light temperature (6500 K) and integrate from 0 to infinity. I then numerically integrated from 440 nm to 455 nm and divided the two. Multiplying this by the output on the detector gave a ridiculous solution. Given the intensity profile – not really black bodyish – the ridiculous results make sense.

It was at this point that I started searching and found nothing but Planck stuff. Thus, I humbly come before all of you. Please help! There must be some sort of standard procedure for those without specialized light analyzing equipment!

Thanks!
Sam

Best Answer

There is an Excel spreadsheet you can download on the page you linked. It has the numerical data that was used to produce that plot. Just download that spreadsheet, and integrate numerically. If you want to be really really insanely cautious, you could even interpolate the data and numerically integrate that.

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