That looks like a Nichia 519a. The tell is the R9 (red) of nearly 100, but R12 (blue) of 80. It's weird because deep blue is the one thing all LEDs make a ton of.
Sorry FF. I was referring to the specific LED I mentioned and discussed in Post #9, but should have repeated that for clarity. The chart is from a test of a:
"Luminus SST-20-W 4000 K CRI95"
Since (unlike me) many here understand complete emitter specifications, it was specifically stated to be"
"SST-20-W40H-A120-J4FB4 VH"
The test (bare emitter / nominal drive) was posted in another forum in the past by a (evidently fine) person who goes by 'maukka' of Finland (who hopefully will not sue me for pasting that screen shot in this post
. Full credit and thanks to 'maukka'!
I do not have the FULL specification of the specific LED(s) used in my human testing, but they were simply identified by the flashlight distributor who provided them as (as I recall): SST-20 R9080 4000K. They may or may not have the full specification / part number for those devices.
Hopefully the two are comparatively close relatives. I don't know the full definition(s) of the full specification(s), so as I mentioned, I'm speculating that they're "roughly" comparable devices, but without the full nomenclature on my emitters, there's an assumption involved. Hopefully someone will let me know if / how much that speculation might be in error.
Just to re-state something: My subjective human (non-instrumented) testing results are (tentatively) conclusive, and I'm merely speculating as to which (if any) objective measurements
might possibly account for the device's excellent performance, and specifically
possibly 'R' values, and specifically
possibly those of R9 and R13. No other factors are being considered, expressed, or implied, so the scope of my post is
intentionally quite limited (as appropriate for my knowledge level
. Again, I'm essentially (speculatively) reverse-engineering test results and speculating about potential causal factors, rather than starting with specifications (data), and trying to establish the value / effects of those data in actual testing. It's the reverse approach of that taken by many people, but is interesting, because my subjective testing was essentially unbiased by the hard data - essentially almost like a 'blind' test. There were other differences in my approach, but I won't get into all that here.