- #211
JohnnyGui
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Charles Link said:Your assessments are correct. Probability does come into play to some degree. There is only an average number of photons ¯ns=1exp(hf/(kbT))−1n¯s=1exp(hf/(kbT))−1 \bar{n}_s=\frac{1}{\exp(hf/(k_b T))-1} and that number can range to several photons, even many photons for kbT>>hfkbT>>hf k_bT>> hf , or it can be a small decimal number (much less than 1 photon on the average) for kbT<<hfkbT<<hf k_bTNN N photons in your measurement, the standard deviation σσ \sigma essentially is σ=√Nσ=N \sigma=\sqrt{N} . For N=1.0E+20N=1.0E+20 N=1.0 \, E+20 , that makes ΔN=1.0E+10ΔN=1.0E+10 \Delta N=1.0 \, E+10 , (one part in 10,000,000,000), but for N=1000N=1000 N=1000 , this makes ΔN=30ΔN=30 \Delta N=30 (approximately) which is 1 part in 30.
Thanks. I noticed something else; if ##\frac{1}{\exp(hf/(k_b T))-1}## gives the average number of photons per mode of a particular frequency ##f## and it follows a binomial statistic, doesn't that mean that ##\frac{1}{\exp(hf/(k_b T))-1} = np## in which ##n## is the number of times that mode has been tested?
If so, wouldn't the standard deviation of each mode then be:
$$\sigma_{mode} = \sqrt{\frac{1}{\exp(hf/(k_b T))-1} \cdot q}$$
If there are ##\frac{8\pi \cdot f^2}{c^3}## modes per frequency, then the total amount of photons in that frequency ##N_f## would therefore be:
$$\frac{\sigma_{mode}^2}{q} \cdot \frac{8\pi \cdot f^2}{c^3} = N_f$$
Notice that I'm defining ##N_f## here as the number of photons of one particular frequency ##f## instead of the number of photons of a whole spectrum. If I'm defining ##N_f## that way, do these formulas make sense?
Charles Link said:And additional comment: You ask in question 2, is the probability caused by the inaccuracy in our computation of kbkb k_b and/or TT T ? The answer is no=the kbTkbT k_b T product can be known to about 1 part in 1,000 but the statistical count of photons can readily vary by 1 part in 30. This is not caused by inaccuracies in kbTkbT k_b T . Meanwhile, the Planck function as computed appears to be quite exact. It accurately predicts the Stefan-Boltzmann constant to be σ=π260k4b¯h3c2=5.6703E−8σ=π260kb4h¯3c2=5.6703E−8 \sigma=\frac{\pi^2}{60} \frac{k_b^4}{\bar{h}^3 c^2}=5.6703 \, E-8 watts/(m^2 k^4), and the spectral shape has long been confirmed by experiment.
Thanks for the correction. If it's all about probability and about the average number of photons per mode, is there a chance that a certain wavelength of ##hf << kT## would not be emitted at all, even if that chance is very low?
Charles Link said:I believe it follows a binomial type statistics, and if you measure NN N photons in your measurement, the standard deviation σσ \sigma essentially is σ=√Nσ=N \sigma=\sqrt{N} . For N=1.0E+20N=1.0E+20 N=1.0 \, E+20 , that makes ΔN=1.0E+10ΔN=1.0E+10 \Delta N=1.0 \, E+10 , (one part in 10,000,000,000), but for N=1000N=1000 N=1000 , this makes ΔN=30ΔN=30 \Delta N=30 (approximately) which is 1 part in 30.
I'm sorry but I have trouble finding out how you deduced ##ΔN##. Didn't you mean ##E - 10## instead of ##E +10##?