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[:en]Spectral power distribution[:]
[:en]In radiometry, photometry and color science, a spectral power distribution (SPD) measurement describes the power per unit area per unit wavelength of an illumination (radiant exitance). More generally, the term spectral power distribution can refer to the concentration, as a function of wavelength, of any radiometric or photometric quantity (e.g. radiant energy, radiant flux, radiant…
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Joint Resource Allocation and Spectral Radiometry in Non-Stationary Cognitive Radio Networks
Read More : http://dx.doi.org/10.20431/2349-4050.0402004 International Journal of Innovative Research in Electronics and Communications Read More About Journal : https://www.arcjournals.org/international-journal-of-innovative-research-in-electronics-and-communications/
The most frustrating thing I have ever learned is that no one really knows what light is. Sometimes it acts like particles and sometimes it acts like waves, but it's not exactly either and scientists just kind of treat it like one or the other depending on what's most convenient, which seems fucking bizarre to me. I feel like I'm living 1000 years earlier than I am. Seriously, what tHE FUCK IS LIGHT MADE OF?!?!??!?
See its irrelevant if it did. That's my whole point, we can create U-238, and know that it starts at 100% radiation. My question pertains to the question if half-life once again is a flawed concept of science? How do we know that in 4 million years that the material breaks down. How can we be sure that the material hasn't broken down 3 times already like you suggested earlier BECAUSE time has passed. Say maybe 1,000 years to reach half-life on U-238? Am I explaining my question well?
Oh, I think I get it now. As far as we know, our calculations on the time it takes for Uranium to reach its half-life, based on our observations of the steady rate at which it progresses, is accurate. I'm not going to say it's infallible. Since we have never seen or been able to reproduce an the entire decomposition of Uranium, there's no way we can say we are right for sure. But it's our best calculation, and (to my knowledge) it hasn't been proven wrong so far.
An introduction to radiometry and common terms associated with radiometric testing.