Testing Timber's prototype=4000k/660nm and my finger on the flower trigger:)

[PSUAGRO.]

cxb 3590 3000k top bin spectral data no reflectors part2

"603.0","0.9953","5.6283e-001","5280.9",
"604.0","0.9961","5.6324e-001","5237.5",
"605.0","0.9968","5.6366e-001","5187.9",
"606.0","0.9978","5.6424e-001","5141.1",
"607.0","1.0000","5.6547e-001","5093.7",
"608.0","1.0000","5.6546e-001","5042.3",
"609.0","0.9984","5.6456e-001","4987.8",
"610.0","0.9943","5.6224e-001","4929.6",
"611.0","0.9921","5.6099e-001","4868.8",
"612.0","0.9875","5.5841e-001","4805.1",
"613.0","0.9854","5.5718e-001","4740.3",
"614.0","0.9796","5.5391e-001","4671.2",
"615.0","0.9698","5.4840e-001","4602.2",
"616.0","0.9647","5.4552e-001","4533.6",
"617.0","0.9605","5.4313e-001","4461.6",
"618.0","0.9540","5.3948e-001","4388.1",
"619.0","0.9466","5.3529e-001","4314.6",
"620.0","0.9401","5.3160e-001","4242.6",
"621.0","0.9324","5.2722e-001","4168.9",
"622.0","0.9235","5.2220e-001","4095.2",
"623.0","0.9157","5.1779e-001","4022.4",
"624.0","0.9091","5.1408e-001","3943.9",
"625.0","0.9009","5.0941e-001","3862.5",
"626.0","0.8911","5.0389e-001","3780.9",
"627.0","0.8805","4.9791e-001","3694.0",
"628.0","0.8697","4.9177e-001","3606.4",
"629.0","0.8599","4.8627e-001","3518.6",
"630.0","0.8493","4.8026e-001","3428.5",
"631.0","0.8405","4.7529e-001","3338.3",
"632.0","0.8295","4.6905e-001","3249.1",
"633.0","0.8160","4.6143e-001","3159.5",
"634.0","0.8053","4.5538e-001","3071.8",
"635.0","0.7943","4.4917e-001","2987.4",
"636.0","0.7802","4.4117e-001","2912.0",
"637.0","0.7664","4.3335e-001","2841.6",
"638.0","0.7571","4.2813e-001","2774.5",
"639.0","0.7452","4.2140e-001","2709.2",
"640.0","0.7332","4.1460e-001","2646.9",
"641.0","0.7212","4.0784e-001","2537.4",
"642.0","0.7096","4.0123e-001","2444.9",
"643.0","0.6964","3.9379e-001","2389.9",
"644.0","0.6827","3.8607e-001","2336.1",
"645.0","0.6677","3.7754e-001","2281.3",
"646.0","0.6556","3.7071e-001","2227.7",
"647.0","0.6430","3.6358e-001","2175.1",
"648.0","0.6300","3.5624e-001","2120.3",
"649.0","0.6196","3.5039e-001","2064.9",
"650.0","0.6061","3.4274e-001","2011.1",
"651.0","0.5932","3.3544e-001","1955.2",
"652.0","0.5794","3.2762e-001","1898.9",
"653.0","0.5688","3.2165e-001","1845.7",
"654.0","0.5579","3.1549e-001","1790.8",
"655.0","0.5460","3.0872e-001","1734.9",
"656.0","0.5341","3.0204e-001","1684.6",
"657.0","0.5214","2.9481e-001","1632.3",
"658.0","0.5115","2.8926e-001","1582.2",
"659.0","0.5005","2.8302e-001","1536.2",
"660.0","0.4880","2.7592e-001","1489.6",
"661.0","0.4772","2.6982e-001","1444.3",
"662.0","0.4669","2.6404e-001","1403.1",
"663.0","0.4552","2.5741e-001","1373.5",
"664.0","0.4435","2.5079e-001","1359.3",
"665.0","0.4338","2.4530e-001","1361.8",
"666.0","0.4232","2.3930e-001","1379.4",
"667.0","0.4125","2.3327e-001","1411.2",
"668.0","0.4019","2.2727e-001","1455.6",
"669.0","0.3921","2.2169e-001","1505.7",
"670.0","0.3812","2.1555e-001","1546.8",
"671.0","0.3712","2.0993e-001","1576.0",
"672.0","0.3629","2.0522e-001","1585.2",
"673.0","0.3545","2.0043e-001","1568.8",
"674.0","0.3459","1.9558e-001","1529.4",
"675.0","0.3378","1.9102e-001","1461.2",
"676.0","0.3303","1.8678e-001","1371.6",
"677.0","0.3222","1.8219e-001","1270.2",
"678.0","0.3150","1.7811e-001","1164.8",
"679.0","0.3065","1.7331e-001","1059.7",
"680.0","0.2976","1.6826e-001","964.0",
"681.0","0.2897","1.6381e-001","879.2",
"682.0","0.2816","1.5922e-001","803.0",
"683.0","0.2731","1.5446e-001","736.8",
"684.0","0.2645","1.4957e-001","680.1",
"685.0","0.2579","1.4581e-001","632.3",
"686.0","0.2519","1.4247e-001","590.1",
"687.0","0.2447","1.3838e-001","553.2",
"688.0","0.2387","1.3498e-001","522.7",
"689.0","0.2348","1.3275e-001","498.2",
"690.0","0.2319","1.3113e-001","479.1",
"691.0","0.2325","1.3149e-001","466.8",
"692.0","0.2330","1.3176e-001","455.4",
"693.0","0.2302","1.3018e-001","440.1",
"694.0","0.2238","1.2657e-001","419.6",
"695.0","0.2155","1.2184e-001","395.4",
"696.0","0.2038","1.1523e-001","368.7",
"697.0","0.1923","1.0872e-001","344.2",
"698.0","0.1829","1.0345e-001","323.9",
"699.0","0.1749","9.8903e-002","306.1",
"700.0","0.1690","9.5545e-002","291.4",
"701.0","0.1641","9.2767e-002","279.6",
"702.0","0.1605","9.0733e-002","269.2",
"703.0","0.1559","8.8152e-002","258.6",
"704.0","0.1517","8.5803e-002","248.8",
"705.0","0.1470","8.3139e-002","239.2",
"706.0","0.1427","8.0667e-002","229.8",
"707.0","0.1387","7.8446e-002","221.3",
"708.0","0.1352","7.6457e-002","213.3",
"709.0","0.1313","7.4265e-002","205.3",
"710.0","0.1269","7.1770e-002","197.3",
"711.0","0.1223","6.9141e-002","189.3",
"712.0","0.1190","6.7313e-002","183.1",
"713.0","0.1160","6.5571e-002","176.9",
"714.0","0.1125","6.3594e-002","170.5",
"715.0","0.1099","6.2130e-002","165.1",
"716.0","0.1064","6.0146e-002","159.5",
"717.0","0.1023","5.7847e-002","153.5",
"718.0","0.0999","5.6516e-002","148.7",
"719.0","0.0969","5.4804e-002","143.5",
"720.0","0.0942","5.3277e-002","138.7",
"721.0","0.0914","5.1672e-002","134.7",
"722.0","0.0888","5.0214e-002","130.7",
"723.0","0.0856","4.8430e-002","126.1",
"724.0","0.0839","4.7424e-002","122.8",
"725.0","0.0818","4.6255e-002","119.7",
"726.0","0.0779","4.4044e-002","115.1",
"727.0","0.0749","4.2354e-002","111.3",
"728.0","0.0727","4.1095e-002","108.3",
"729.0","0.0702","3.9721e-002","105.3",
"730.0","0.0686","3.8807e-002","102.8",
"731.0","0.0670","3.7875e-002","100.3",
"732.0","0.0651","3.6828e-002","97.8",
"733.0","0.0628","3.5538e-002","95.3",
"734.0","0.0607","3.4300e-002","92.8",
"735.0","0.0583","3.2955e-002","90.3",
"736.0","0.0568","3.2123e-002","88.4",
"737.0","0.0546","3.0901e-002","86.2",
"738.0","0.0531","3.0054e-002","84.4",
"739.0","0.0521","2.9478e-002","82.8",
"740.0","0.0503","2.8415e-002","80.8",
"741.0","0.0480","2.7154e-002","78.8",
"742.0","0.0478","2.7041e-002","78.0",
"743.0","0.0462","2.6103e-002","76.3",
"744.0","0.0439","2.4826e-002","74.4",
"745.0","0.0421","2.3815e-002","72.8",
"746.0","0.0415","2.3475e-002","72.0",
"747.0","0.0414","2.3418e-002","71.4",
"748.0","0.0405","2.2926e-002","70.4",
"749.0","0.0396","2.2414e-002","69.4",
"750.0","0.0385","2.1788e-002","68.4",
"751.0","0.0376","2.1238e-002","67.4",
"752.0","0.0364","2.0557e-002","66.4",
"753.0","0.0348","1.9692e-002","65.4",
"754.0","0.0336","1.8986e-002","64.4",
"755.0","0.0322","1.8222e-002","63.4",
"756.0","0.0323","1.8241e-002","63.0",
"757.0","0.0317","1.7908e-002","62.4",
"758.0","0.0287","1.6228e-002","60.8",
"759.0","0.0290","1.6400e-002","60.6",
"760.0","0.0293","1.6578e-002","60.4",
"761.0","0.0290","1.6419e-002","60.0",
"762.0","0.0265","1.4972e-002","58.8",
"763.0","0.0245","1.3863e-002","58.0",
"764.0","0.0252","1.4242e-002","58.0",
"765.0","0.0242","1.3677e-002","57.4",
"766.0","0.0234","1.3231e-002","57.0",
"767.0","0.0221","1.2519e-002","56.4",
"768.0","0.0214","1.2092e-002","56.0",
"769.0","0.0218","1.2338e-002","56.0",
"770.0","0.0243","1.3748e-002","56.6",
"771.0","0.0242","1.3699e-002","56.4",
"772.0","0.0214","1.2080e-002","55.4",
"773.0","0.0185","1.0485e-002","54.4",
"774.0","0.0155","8.7529e-003","53.4",
"775.0","0.0165","9.3356e-003","53.6",
"776.0","0.0162","9.1717e-003","53.4",
"777.0","0.0150","8.4769e-003","53.0",
"778.0","0.0177","1.0003e-002","53.6",
"779.0","0.0175","9.8680e-003","53.4",
"780.0","0.0162","9.1523e-003","53.0",
"781.0","0.0165","9.3046e-003","53.0",
"782.0","0.0169","9.5366e-003","53.0",
"783.0","0.0173","9.7989e-003","53.0",
"784.0","0.0151","8.5382e-003","52.4",
"785.0","0.0135","7.6280e-003","52.0",
"786.0","0.0137","7.7702e-003","52.0",
"787.0","0.0141","7.9628e-003","52.0",
"788.0","0.0145","8.2126e-003","52.0",
"789.0","0.0147","8.3329e-003","52.0",
"790.0","0.0149","8.4472e-003","52.0",
"791.0","0.0154","8.7097e-003","52.0",
"792.0","0.0126","7.1195e-003","51.4",
"793.0","0.0106","5.9929e-003","51.0",
"794.0","0.0108","6.0906e-003","51.0",
"795.0","0.0111","6.2613e-003","51.0",
"796.0","0.0114","6.4217e-003","51.0",
"797.0","0.0116","6.5498e-003","51.0",
"798.0","0.0084","4.7494e-003","50.4",
"799.0","0.0061","3.4249e-003","50.0",
"800.0","0.0099","5.5942e-003","50.6",

 

[PSUAGRO.]

cxb 3590 4000k top bin spectral data no reflectors part1

"Wavelength(nm)","Spectrum","Spectrum(W/nm)","AD Value",
"380.0","0.0007","3.7024e-004","50.0",
"381.0","0.0006","3.3440e-004","50.0",
"382.0","0.0005","2.9651e-004","50.0",
"383.0","0.0005","2.6209e-004","50.0",
"384.0","0.0004","2.3820e-004","50.0",
"385.0","0.0004","2.1724e-004","50.0",
"386.0","0.0004","1.9740e-004","50.0",
"387.0","0.0005","2.8528e-004","50.6",
"388.0","0.0006","3.3953e-004","51.0",
"389.0","0.0006","3.1796e-004","51.0",
"390.0","0.0005","2.9535e-004","51.0",
"391.0","0.0005","2.7715e-004","51.0",
"392.0","0.0005","2.6296e-004","51.0",
"393.0","0.0006","3.2347e-004","51.6",
"394.0","0.0007","3.5929e-004","52.0",
"395.0","0.0009","4.6916e-004","53.2",
"396.0","0.0011","6.0717e-004","54.6",
"397.0","0.0012","6.2694e-004","55.0",
"398.0","0.0013","7.0956e-004","56.2",
"399.0","0.0017","9.3202e-004","58.8",
"400.0","0.0022","1.1807e-003","61.8",
"401.0","0.0027","1.4713e-003","65.3",
"402.0","0.0032","1.7617e-003","69.3",
"403.0","0.0039","2.1349e-003","74.5",
"404.0","0.0047","2.5790e-003","80.5",
"405.0","0.0058","3.1747e-003","88.3",
"406.0","0.0072","3.8932e-003","97.8",
"407.0","0.0087","4.7050e-003","109.6",
"408.0","0.0106","5.7395e-003","124.9",
"409.0","0.0129","7.0072e-003","143.1",
"410.0","0.0155","8.4336e-003","165.6",
"411.0","0.0184","1.0026e-002","191.8",
"412.0","0.0220","1.1944e-002","224.0",
"413.0","0.0260","1.4160e-002","262.9",
"414.0","0.0307","1.6717e-002","309.8",
"415.0","0.0364","1.9808e-002","366.0",
"416.0","0.0426","2.3153e-002","430.7",
"417.0","0.0491","2.6693e-002","505.7",
"418.0","0.0567","3.0806e-002","593.3",
"419.0","0.0655","3.5603e-002","692.1",
"420.0","0.0748","4.0680e-002","801.5",
"421.0","0.0853","4.6391e-002","920.2",
"422.0","0.0973","5.2887e-002","1048.6",
"423.0","0.1104","6.0028e-002","1188.0",
"424.0","0.1242","6.7501e-002","1334.9",
"425.0","0.1388","7.5479e-002","1488.0",
"426.0","0.1557","8.4679e-002","1653.3",
"427.0","0.1741","9.4662e-002","1836.4",
"428.0","0.1937","1.0529e-001","2038.1",
"429.0","0.2156","1.1724e-001","2264.5",
"430.0","0.2381","1.2945e-001","2515.7",
"431.0","0.2628","1.4290e-001","2787.9",
"432.0","0.2886","1.5692e-001","3081.8",
"433.0","0.3165","1.7210e-001","3393.5",
"434.0","0.3468","1.8856e-001","3721.1",
"435.0","0.3793","2.0620e-001","4079.5",
"436.0","0.4166","2.2650e-001","4489.2",
"437.0","0.4588","2.4942e-001","4968.1",
"438.0","0.5076","2.7600e-001","5522.8",
"439.0","0.5582","3.0351e-001","6160.2",
"440.0","0.6141","3.3389e-001","6871.5",
"441.0","0.6783","3.6878e-001","7654.4",
"442.0","0.7451","4.0510e-001","8485.8",
"443.0","0.8091","4.3991e-001","9342.8",
"444.0","0.8717","4.7391e-001","10196.9",
"445.0","0.9264","5.0366e-001","10998.2",
"446.0","0.9675","5.2605e-001","11694.1",
"447.0","0.9925","5.3960e-001","12233.8",
"448.0","1.0000","5.4369e-001","12561.0",
"449.0","0.9883","5.3732e-001","12648.4",
"450.0","0.9571","5.2036e-001","12514.1",
"451.0","0.9099","4.9472e-001","12199.7",
"452.0","0.8515","4.6294e-001","11755.2",
"453.0","0.7907","4.2990e-001","11236.0",
"454.0","0.7306","3.9724e-001","10686.7",
"455.0","0.6736","3.6625e-001","10138.8",
"456.0","0.6226","3.3851e-001","9598.0",
"457.0","0.5776","3.1405e-001","9063.8",
"458.0","0.5387","2.9290e-001","8550.7",
"459.0","0.5082","2.7630e-001","8070.7",
"460.0","0.4798","2.6088e-001","7615.1",
"461.0","0.4551","2.4746e-001","7174.8",
"462.0","0.4347","2.3635e-001","6738.5",
"463.0","0.4123","2.2414e-001","6287.1",
"464.0","0.3906","2.1234e-001","5816.6",
"465.0","0.3704","2.0141e-001","5333.8",
"466.0","0.3503","1.9045e-001","4847.2",
"467.0","0.3290","1.7885e-001","4378.8",
"468.0","0.3086","1.6780e-001","3944.6",
"469.0","0.2914","1.5843e-001","3536.1",
"470.0","0.2755","1.4980e-001","3120.5",
"471.0","0.2590","1.4081e-001","2942.4",
"472.0","0.2456","1.3352e-001","2844.6",
"473.0","0.2366","1.2862e-001","2707.5",
"474.0","0.2299","1.2498e-001","2610.3",
"475.0","0.2260","1.2289e-001","2544.4",
"476.0","0.2241","1.2185e-001","2503.6",
"477.0","0.2234","1.2145e-001","2479.8",
"478.0","0.2243","1.2194e-001","2469.4",
"479.0","0.2271","1.2349e-001","2470.0",
"480.0","0.2299","1.2500e-001","2480.9",
"481.0","0.2326","1.2645e-001","2497.2",
"482.0","0.2359","1.2828e-001","2519.3",
"483.0","0.2413","1.3117e-001","2545.9",
"484.0","0.2481","1.3489e-001","2578.9",
"485.0","0.2556","1.3899e-001","2619.2",
"486.0","0.2634","1.4323e-001","2671.4",
"487.0","0.2714","1.4755e-001","2742.3",
"488.0","0.2815","1.5307e-001","2832.3",
"489.0","0.2922","1.5888e-001","2934.8",
"490.0","0.3035","1.6502e-001","3053.7",
"491.0","0.3155","1.7155e-001","3182.5",
"492.0","0.3285","1.7862e-001","3309.1",
"493.0","0.3434","1.8672e-001","3435.1",
"494.0","0.3578","1.9452e-001","3558.3",
"495.0","0.3716","2.0202e-001","3679.0",
"496.0","0.3839","2.0874e-001","3800.6",
"497.0","0.3980","2.1637e-001","3923.5",
"498.0","0.4110","2.2346e-001","4044.7",
"499.0","0.4248","2.3094e-001","4162.2",
"500.0","0.4389","2.3860e-001","4270.0",
"501.0","0.4536","2.4662e-001","4367.4",
"502.0","0.4666","2.5370e-001","4454.6",
"503.0","0.4777","2.5974e-001","4531.9",
"504.0","0.4889","2.6583e-001","4599.6",
"505.0","0.5016","2.7270e-001","4664.5",
"506.0","0.5132","2.7904e-001","4740.2",
"507.0","0.5232","2.8446e-001","4817.4",
"508.0","0.5330","2.8980e-001","4895.8",
"509.0","0.5441","2.9583e-001","4981.3",
"510.0","0.5545","3.0147e-001","5068.7",
"511.0","0.5619","3.0551e-001","5152.8",
"512.0","0.5706","3.1021e-001","5230.0",
"513.0","0.5789","3.1476e-001","5295.3",
"514.0","0.5861","3.1867e-001","5349.0",
"515.0","0.5929","3.2234e-001","5394.9",
"516.0","0.6014","3.2700e-001","5432.6",
"517.0","0.6086","3.3089e-001","5457.2",
"518.0","0.6145","3.3411e-001","5479.8",
"519.0","0.6221","3.3822e-001","5501.4",
"520.0","0.6292","3.4207e-001","5512.9",
"521.0","0.6323","3.4375e-001","5521.7",
"522.0","0.6369","3.4627e-001","5528.9",
"523.0","0.6419","3.4900e-001","5536.3",
"524.0","0.6470","3.5178e-001","5543.5",
"525.0","0.6527","3.5484e-001","5552.4",
"526.0","0.6580","3.5774e-001","5568.5",
"527.0","0.6612","3.5950e-001","5580.4",
"528.0","0.6657","3.6192e-001","5590.6",
"529.0","0.6710","3.6482e-001","5603.0",
"530.0","0.6758","3.6745e-001","5614.8",
"531.0","0.6790","3.6918e-001","5617.0",
"532.0","0.6828","3.7125e-001","5617.7",
"533.0","0.6877","3.7392e-001","5616.4",
"534.0","0.6926","3.7655e-001","5605.8",
"535.0","0.6983","3.7968e-001","5594.6",
"536.0","0.7024","3.8186e-001","5592.0",
"537.0","0.7040","3.8277e-001","5588.3",
"538.0","0.7090","3.8550e-001","5583.3",
"539.0","0.7133","3.8780e-001","5583.2",
"540.0","0.7166","3.8961e-001","5579.3",
"541.0","0.7214","3.9224e-001","5574.3",
"542.0","0.7253","3.9436e-001","5568.3",
"543.0","0.7273","3.9545e-001","5558.0",
"544.0","0.7312","3.9758e-001","5542.5",
"545.0","0.7362","4.0029e-001","5521.6",
"546.0","0.7401","4.0237e-001","5497.4",
"547.0","0.7447","4.0491e-001","5473.6",
"548.0","0.7478","4.0656e-001","5451.8",
"549.0","0.7514","4.0853e-001","5429.0",
"550.0","0.7572","4.1168e-001","5414.3",
"551.0","0.7590","4.1267e-001","5572.6",
"552.0","0.7650","4.1591e-001","5670.5",
"553.0","0.7689","4.1804e-001","5637.6",
"554.0","0.7710","4.1919e-001","5613.1",
"555.0","0.7740","4.2083e-001","5596.7",
"556.0","0.7783","4.2315e-001","5588.8",
"557.0","0.7839","4.2622e-001","5588.0",
"558.0","0.7867","4.2772e-001","5591.5",
"559.0","0.7889","4.2894e-001","5603.9",
"560.0","0.7947","4.3210e-001","5611.6",
"561.0","0.8004","4.3515e-001","5623.1",
"562.0","0.8047","4.3751e-001","5632.2",
"563.0","0.8083","4.3949e-001","5631.3",
"564.0","0.8118","4.4139e-001","5625.9",
"565.0","0.8140","4.4257e-001","5618.3",
"566.0","0.8180","4.4474e-001","5609.2",
"567.0","0.8229","4.4743e-001","5599.2",
"568.0","0.8287","4.5054e-001","5587.4",
"569.0","0.8308","4.5170e-001","5573.8",
"570.0","0.8341","4.5351e-001","5562.2",
"571.0","0.8385","4.5591e-001","5558.0",
"572.0","0.8433","4.5852e-001","5555.7",
"573.0","0.8485","4.6132e-001","5552.3",
"574.0","0.8548","4.6473e-001","5549.3",
"575.0","0.8575","4.6620e-001","5544.5",
"576.0","0.8591","4.6710e-001","5531.9",
"577.0","0.8634","4.6944e-001","5517.7",
"578.0","0.8664","4.7104e-001","5498.3",
"579.0","0.8697","4.7284e-001","5475.2",
"580.0","0.8726","4.7441e-001","5447.3",
"581.0","0.8776","4.7712e-001","5415.1",
"582.0","0.8823","4.7970e-001","5379.1",
"583.0","0.8840","4.8065e-001","5343.2",
"584.0","0.8850","4.8119e-001","5307.4",
"585.0","0.8889","4.8329e-001","5274.3",
"586.0","0.8921","4.8505e-001","5242.0",
"587.0","0.8955","4.8689e-001","5214.0",
"588.0","0.8986","4.8856e-001","5188.8",
"589.0","0.8990","4.8878e-001","5165.2",
"590.0","0.9008","4.8977e-001","5140.6",
"591.0","0.9037","4.9136e-001","5117.0",
"592.0","0.9053","4.9222e-001","5092.8",
"593.0","0.9048","4.9193e-001","5066.3",
"594.0","0.9075","4.9340e-001","5032.3",
"595.0","0.9072","4.9323e-001","4996.8",
"596.0","0.9076","4.9345e-001","4962.9",
"597.0","0.9090","4.9423e-001","4922.6",
"598.0","0.9075","4.9342e-001","4876.3",
"599.0","0.9071","4.9320e-001","4826.5",
"600.0","0.9054","4.9226e-001","4775.8",
"601.0","0.9047","4.9190e-001","4722.7",
"602.0","0.9032","4.9105e-001","4671.2",

 

[PSUAGRO.]

cxb 3590 top bin 4000k spectral data no reflectors part2
"603.0","0.8995","4.8906e-001","4619.8",
"604.0","0.8962","4.8728e-001","4562.2",
"605.0","0.8943","4.8623e-001","4506.1",
"606.0","0.8925","4.8523e-001","4451.9",
"607.0","0.8914","4.8466e-001","4396.3",
"608.0","0.8881","4.8288e-001","4336.3",
"609.0","0.8845","4.8087e-001","4278.5",
"610.0","0.8786","4.7768e-001","4218.1",
"611.0","0.8741","4.7523e-001","4154.3",
"612.0","0.8682","4.7203e-001","4091.3",
"613.0","0.8648","4.7019e-001","4029.4",
"614.0","0.8582","4.6660e-001","3963.8",
"615.0","0.8476","4.6083e-001","3895.9",
"616.0","0.8407","4.5710e-001","3827.2",
"617.0","0.8346","4.5374e-001","3755.4",
"618.0","0.8274","4.4987e-001","3687.1",
"619.0","0.8198","4.4574e-001","3620.3",
"620.0","0.8133","4.4221e-001","3556.4",
"621.0","0.8055","4.3793e-001","3489.8",
"622.0","0.7966","4.3310e-001","3423.1",
"623.0","0.7884","4.2864e-001","3356.2",
"624.0","0.7817","4.2502e-001","3286.6",
"625.0","0.7734","4.2049e-001","3214.0",
"626.0","0.7644","4.1558e-001","3143.6",
"627.0","0.7550","4.1047e-001","3070.2",
"628.0","0.7444","4.0471e-001","2992.5",
"629.0","0.7339","3.9902e-001","2911.6",
"630.0","0.7234","3.9328e-001","2831.5",
"631.0","0.7152","3.8887e-001","2754.9",
"632.0","0.7052","3.8341e-001","2679.0",
"633.0","0.6934","3.7700e-001","2604.2",
"634.0","0.6846","3.7219e-001","2533.1",
"635.0","0.6750","3.6700e-001","2462.9",
"636.0","0.6621","3.5996e-001","2397.7",
"637.0","0.6494","3.5309e-001","2336.7",
"638.0","0.6410","3.4853e-001","2279.8",
"639.0","0.6306","3.4287e-001","2225.2",
"640.0","0.6200","3.3706e-001","2172.5",
"641.0","0.6088","3.3098e-001","2079.5",
"642.0","0.5975","3.2487e-001","1999.5",
"643.0","0.5864","3.1881e-001","1954.5",
"644.0","0.5747","3.1247e-001","1910.2",
"645.0","0.5622","3.0564e-001","1866.1",
"646.0","0.5516","2.9992e-001","1821.3",
"647.0","0.5406","2.9392e-001","1777.0",
"648.0","0.5294","2.8785e-001","1731.8",
"649.0","0.5210","2.8327e-001","1687.6",
"650.0","0.5092","2.7687e-001","1642.6",
"651.0","0.4981","2.7079e-001","1596.2",
"652.0","0.4866","2.6454e-001","1550.9",
"653.0","0.4769","2.5931e-001","1505.4",
"654.0","0.4675","2.5418e-001","1459.9",
"655.0","0.4581","2.4909e-001","1416.7",
"656.0","0.4482","2.4370e-001","1375.8",
"657.0","0.4373","2.3776e-001","1332.9",
"658.0","0.4290","2.3324e-001","1292.0",
"659.0","0.4193","2.2796e-001","1253.4",
"660.0","0.4089","2.2233e-001","1216.1",
"661.0","0.3995","2.1720e-001","1178.3",
"662.0","0.3904","2.1226e-001","1143.5",
"663.0","0.3798","2.0650e-001","1117.3",
"664.0","0.3698","2.0106e-001","1105.2",
"665.0","0.3619","1.9676e-001","1107.8",
"666.0","0.3531","1.9199e-001","1122.2",
"667.0","0.3438","1.8693e-001","1146.5",
"668.0","0.3346","1.8190e-001","1180.9",
"669.0","0.3260","1.7723e-001","1219.9",
"670.0","0.3176","1.7266e-001","1255.4",
"671.0","0.3099","1.6850e-001","1281.4",
"672.0","0.3032","1.6483e-001","1289.6",
"673.0","0.2964","1.6113e-001","1277.5",
"674.0","0.2885","1.5688e-001","1242.9",
"675.0","0.2817","1.5316e-001","1187.4",
"676.0","0.2757","1.4990e-001","1116.2",
"677.0","0.2690","1.4623e-001","1034.5",
"678.0","0.2631","1.4306e-001","950.1",
"679.0","0.2565","1.3946e-001","866.7",
"680.0","0.2487","1.3521e-001","788.3",
"681.0","0.2419","1.3153e-001","719.2",
"682.0","0.2347","1.2758e-001","656.5",
"683.0","0.2281","1.2402e-001","604.2",
"684.0","0.2213","1.2031e-001","559.4",
"685.0","0.2159","1.1741e-001","521.2",
"686.0","0.2114","1.1492e-001","487.8",
"687.0","0.2046","1.1125e-001","456.6",
"688.0","0.1993","1.0833e-001","431.2",
"689.0","0.1960","1.0657e-001","411.6",
"690.0","0.1951","1.0609e-001","398.8",
"691.0","0.1972","1.0724e-001","391.5",
"692.0","0.1989","1.0815e-001","384.4",
"693.0","0.1976","1.0742e-001","373.5",
"694.0","0.1920","1.0441e-001","356.4",
"695.0","0.1845","1.0032e-001","335.8",
"696.0","0.1745","9.4872e-002","313.6",
"697.0","0.1632","8.8725e-002","291.2",
"698.0","0.1540","8.3718e-002","272.7",
"699.0","0.1474","8.0143e-002","258.4",
"700.0","0.1421","7.7234e-002","246.0",
"701.0","0.1375","7.4737e-002","235.8",
"702.0","0.1345","7.3107e-002","227.4",
"703.0","0.1306","7.1023e-002","218.8",
"704.0","0.1263","6.8684e-002","209.8",
"705.0","0.1228","6.6760e-002","202.5",
"706.0","0.1195","6.4963e-002","195.4",
"707.0","0.1162","6.3168e-002","188.5",
"708.0","0.1131","6.1515e-002","181.9",
"709.0","0.1094","5.9502e-002","174.9",
"710.0","0.1068","5.8084e-002","169.7",
"711.0","0.1041","5.6615e-002","164.5",
"712.0","0.1011","5.4977e-002","159.1",
"713.0","0.0975","5.2987e-002","152.9",
"714.0","0.0945","5.1381e-002","147.7",
"715.0","0.0916","4.9780e-002","142.5",
"716.0","0.0895","4.8646e-002","138.9",
"717.0","0.0866","4.7090e-002","134.5",
"718.0","0.0843","4.5841e-002","130.3",
"719.0","0.0812","4.4131e-002","125.5",
"720.0","0.0792","4.3060e-002","121.9",
"721.0","0.0769","4.1806e-002","118.7",
"722.0","0.0732","3.9802e-002","114.1",
"723.0","0.0711","3.8652e-002","110.8",
"724.0","0.0703","3.8231e-002","108.8",
"725.0","0.0679","3.6898e-002","105.7",
"726.0","0.0657","3.5701e-002","102.8",
"727.0","0.0638","3.4688e-002","100.3",
"728.0","0.0612","3.3291e-002","97.3",
"729.0","0.0592","3.2200e-002","94.8",
"730.0","0.0578","3.1434e-002","92.8",
"731.0","0.0566","3.0759e-002","90.8",
"732.0","0.0550","2.9886e-002","88.8",
"733.0","0.0524","2.8473e-002","86.3",
"734.0","0.0499","2.7117e-002","83.8",
"735.0","0.0480","2.6099e-002","81.8",
"736.0","0.0468","2.5472e-002","80.4",
"737.0","0.0462","2.5114e-002","79.4",
"738.0","0.0448","2.4340e-002","77.8",
"739.0","0.0437","2.3770e-002","76.4",
"740.0","0.0432","2.3464e-002","75.4",
"741.0","0.0423","2.3020e-002","74.4",
"742.0","0.0406","2.2099e-002","72.8",
"743.0","0.0393","2.1374e-002","71.4",
"744.0","0.0383","2.0814e-002","70.4",
"745.0","0.0373","2.0304e-002","69.4",
"746.0","0.0363","1.9715e-002","68.4",
"747.0","0.0352","1.9142e-002","67.4",
"748.0","0.0341","1.8551e-002","66.4",
"749.0","0.0330","1.7937e-002","65.4",
"750.0","0.0317","1.7217e-002","64.4",
"751.0","0.0304","1.6542e-002","63.4",
"752.0","0.0290","1.5759e-002","62.4",
"753.0","0.0273","1.4826e-002","61.4",
"754.0","0.0271","1.4719e-002","61.0",
"755.0","0.0278","1.5100e-002","61.0",
"756.0","0.0272","1.4793e-002","60.4",
"757.0","0.0255","1.3837e-002","59.4",
"758.0","0.0251","1.3670e-002","59.0",
"759.0","0.0244","1.3255e-002","58.4",
"760.0","0.0239","1.3016e-002","58.0",
"761.0","0.0214","1.1620e-002","56.8",
"762.0","0.0195","1.0620e-002","56.0",
"763.0","0.0197","1.0735e-002","56.0",
"764.0","0.0203","1.1028e-002","56.0",
"765.0","0.0208","1.1330e-002","56.0",
"766.0","0.0212","1.1526e-002","56.0",
"767.0","0.0198","1.0783e-002","55.4",
"768.0","0.0190","1.0320e-002","55.0",
"769.0","0.0175","9.4989e-003","54.4",
"770.0","0.0166","9.0185e-003","54.0",
"771.0","0.0169","9.2008e-003","54.0",
"772.0","0.0152","8.2782e-003","53.4",
"773.0","0.0142","7.7236e-003","53.0",
"774.0","0.0145","7.9051e-003","53.0",
"775.0","0.0149","8.1040e-003","53.0",
"776.0","0.0130","7.0682e-003","52.4",
"777.0","0.0139","7.5774e-003","52.6",
"778.0","0.0136","7.4013e-003","52.4",
"779.0","0.0123","6.6889e-003","52.0",
"780.0","0.0150","8.1819e-003","52.6",
"781.0","0.0170","9.2694e-003","53.0",
"782.0","0.0149","8.0979e-003","52.4",
"783.0","0.0135","7.3250e-003","52.0",
"784.0","0.0165","8.9474e-003","52.6",
"785.0","0.0132","7.1658e-003","51.8",
"786.0","0.0095","5.1683e-003","51.0",
"787.0","0.0097","5.2964e-003","51.0",
"788.0","0.0100","5.4626e-003","51.0",
"789.0","0.0102","5.5426e-003","51.0",
"790.0","0.0103","5.6186e-003","51.0",
"791.0","0.0107","5.7932e-003","51.0",
"792.0","0.0108","5.8670e-003","51.0",
"793.0","0.0110","5.9712e-003","51.0",
"794.0","0.0112","6.0767e-003","51.0",
"795.0","0.0115","6.2470e-003","51.0",
"796.0","0.0118","6.4070e-003","51.0",
"797.0","0.0085","4.6220e-003","50.4",
"798.0","0.0099","5.3604e-003","50.6",
"799.0","0.0089","4.8434e-003","50.4",
"800.0","0.0065","3.5144e-003","50.0",

 

[PSUAGRO.]

Happy now??????????????????????????????????????

if you want the cxb 3590 3000k with reflectors data let me know it's just a 8.2% loss........same shit

 

[GFS_Nic]

Thank you PSUAGRO for sharing all the data even if it's kinda hard to understand for me. It's also really hard to follow the discussion with so many members in my "ignore list".


Peace bro.

 

[CobKits]

YOU DON"T HAVE ANYTHING TO VERIFY THE VALIDITY OF YOUR CLAIMS

what am i claiming? the only thing i claimed is that your dismissing all the manufacturers' online models, when you fail to get 60% system efficiency starting with a chip with well known 51% efficiency, is an argument with absolutely zero basis. thats it. thats literally the only thing i said to you in this thread, if you want to stand behind that argument, go for it.

simple math and common sense verifies my "claim" and thats pretty much the end of the discussion

if your trying to get this thread closed like GG's because it may hurt your business it's not happening........i'm not going fucking anywhere! unless they ban me..........you can work on that one

#1 I had absolutely zero to do with the fact that GG quit this place maybe partially because some troll got up in his thread and you and others just kept feeding him over and over. why dont you look to all the people in that shitshow the thread turned into and point the finger at them.

#2 I have no beef with GG or anybody here despite what your delusions would lead you to believe. I have no idea what youre even talking about when you mention something about a driver (and really dont care). Its a shame he is no longer contributing here but i understand why- people like yourself with your horrible negative attitudes really make this place difficult to handle. You are literally unable to have a constructive conversation without going off the rails (this thread=great example). Takes every little thing personally and gets defensive.

Sorry i don't have time for grade-school antics I'm here to learn and teach and have some fun not compare myself to your giant weed ego. if i have to be on the wrong side of your little clique thats cool (and yes i used that word because there is none better in the english language to describe you guys). If you get banned it will have absolutely nothing to do with me but rather because you continued to shit-talk yourself into oblivion. Shit talk about me all you want.. I for one wont be listening and i guarantee 90% of the people here dont care...

signing off man, putting you on ignore before i have to hear for the 354th time "Do you even blah blah blah? I was blah blah blah when you were blah blah blah so blah blah blah blah blah blah blah blah........."

 

[FranJan]

simple math and common sense verifies my "claim" and thats pretty much the end of the discussion

Spoken like the true self serving parasite you are. You have nothing to teach except a master class on ignorance.

@PSUAGRO. This is what happens when you let every damn stray in the house, you and Supra and many others never understood that.

Adios amigo. Best of luck.

 

[PSUAGRO.]

what am i claiming? the only thing i claimed is that your dismissing all the manufacturers' online models, when you fail to get 60% system efficiency starting with a chip with well known 51% efficiency, is an argument with absolutely zero basis. thats it. thats literally the only thing i said to you in this thread, if you want to stand behind that argument, go for it.

simple math and common sense verifies my "claim" and thats pretty much the end of the discussion




#1 I had absolutely zero to do with the fact that GG quit this place maybe partially because some troll got up in his thread and you and others just kept feeding him over and over. why dont you look to all the people in that shitshow the thread turned into and point the finger at them.

#2 I have no beef with GG or anybody here despite what your delusions would lead you to believe. I have no idea what youre even talking about when you mention something about a driver (and really dont care). Its a shame he is no longer contributing here but i understand why- people like yourself with your horrible negative attitudes really make this place difficult to handle. You are literally unable to have a constructive conversation without going off the rails (this thread=great example). Takes every little thing personally and gets defensive.

Sorry i don't have time for grade-school antics I'm here to learn and teach and have some fun not compare myself to your giant weed ego. if i have to be on the wrong side of your little clique thats cool (and yes i used that word because there is none better in the english language to describe you guys). If you get banned it will have absolutely nothing to do with me but rather because you continued to shit-talk yourself into oblivion. Shit talk about me all you want.. I for one wont be listening and i guarantee 90% of the people here dont care...

signing off man, putting you on ignore before i have to hear for the 354th time "Do you even blah blah blah? I was blah blah blah when you were blah blah blah so blah blah blah blah blah blah blah blah........."

Nick has spent years doing this and tells me the online calculators don't work/add up when the #s are verified in a sphere====get it now?.....................their are losses that aren't being accounted for(inaccurate base data) when doing the math and it shows up in testing. You running bare chip measurements in a DIY basketball sphere isn't the whole picture and means nada

when a 51+%(4000k) efficient chip becomes 38-40% at system level running bare........their is a problem with the mathzzzzzzz , starting from the manufacturers data

YOU don't even know the difference between the terms optics and reflectors.............lol, YOU want to learn and teach is such bullshit, YOU are here to SELL

stay out of my thread and tell photonfud the same thing

Spoken like the true self serving parasite you are. You have nothing to teach except a master class on ignorance.

@PSUAGRO. This is what happens when you let every damn stray in the house, you and Supra and many others never understood that.

Adios amigo. Best of luck.

Yep.....waste of time................let's get back to growing cannabis with efficient cobs

 

[sixstring2112]

Nick has spent years doing this and tells me the online calculators don't work/add up when the #s are verified in a sphere====get it now?.....................their are losses that aren't being accounted for(inaccurate base data) when doing the math and it shows up in testing. You running bare chip measurements in a DIY basketball sphere isn't the whole picture and means nada

when a 51+%(4000k) efficient chip becomes 38-40% at system level running bare........their is a problem with the mathzzzzzzz , starting from the manufacturers data

YOU don't even know the difference between the terms optics and reflectors.............lol, YOU want to learn and teach is such bullshit, YOU are here to SELL

stay out of my thread and tell photonfud the same thing






Yep.....waste of time................let's get back to growing cannabis with efficient cobs

awesome bro,this is why greengenes said over and over that data sheets are cool and kinda usefull but we need real grows under multiple chips and driver configs to really get the info on whats working good for us as pot growers.and its why i will continue to back him up on that statement and many others.and also why i take growmau5's opinion and info as much more valid because he not only reads the data sheets but tests them in his garden and shows us the results.what he said about the difference between 700ma and 1400ma means much more to me then any number crunching can ever tell us.your info has told me the data sheets are barely a starting point and most likely swayed towards sales more than real world testing.

 

[MeGaKiLlErMaN]

Nick has spent years doing this and tells me the online calculators don't work/add up when the #s are verified in a sphere====get it now?.....................their are losses that aren't being accounted for(inaccurate base data) when doing the math and it shows up in testing. You running bare chip measurements in a DIY basketball sphere isn't the whole picture and means nada

when a 51+%(4000k) efficient chip becomes 38-40% at system level running bare........their is a problem with the mathzzzzzzz , starting from the manufacturers data

YOU don't even know the difference between the terms optics and reflectors.............lol, YOU want to learn and teach is such bullshit, YOU are here to SELL

stay out of my thread and tell photonfud the same thing






Yep.....waste of time................let's get back to growing cannabis with efficient cobs

My par meter verified my par output off by about 100ppfd throughout not sure if that is as valid a sphere data... But it's a hell of a light cheaper

 

[BM9AGS]

Thanks for posting it PSU and thanks Dan for footing the bills.

Damn. So 130lumens per watt and ~ 75% green ehh fuckin balls.

Well back to gaining efficiency in targeting specific colors. the DE gavitas still make the room way hotter than same wattage of leds.

All the other leds blow real monkey balls.

 

[optzulu]

At the end of the day it is what this lights can do for you in the grow room. For me its simple more light in the same room with less heat = more gold.

 

[churchhaze]

I didn't use optics before it wasn't cool! What's not to love about the obtuse 120 degree cone with the side lighting up to 180 degree??

 

[Abiqua]

I didn't use optics before it wasn't cool! What's not to love about the obtuse 120 degree cone with the side lighting up to 180 degree??

ditto....also pre-anything else besides 3500k

 

[MeGaKiLlErMaN]

If only there was some program that could put this data into a graph so everyone could read it... If anyone has excel and some free time I know it would be appreciated. I just dont have the time currently.

 

[mc130p]

I didn't use optics before it wasn't cool! What's not to love about the obtuse 120 degree cone with the side lighting up to 180 degree??

ditto....also pre-anything else besides 3500k

me three actually, i was wanting the spread too!

 

[Mohican]

Now I want to do it just to show you how easy it is! I love spreadsheets!

Lotus 123
Quattro Pro
Excel

You can move the world with these levers

 

[nogod_]

Sorry having a hard time understanding the data. Is "system watts" power consumed by cobs alone or cobs + meanwell?
Eg. 212w in 3000k

Also, what is temp? Ambient?

 

[Stephenj37826]

apart from that the numbers are near what we would expect:

-the popular 3500k at 1400 ma is claimed to be 56% efficient
-so the 3000K CB is say 92% of this or 51.5%
-assuming they used 110V into the meanwell that is 93% efficient so now youre at 47.9%
-they claim the optics cost 8.2% this sounds like a ballpark but lets call it 92% efficient. now youre at 44%
-theyre testing 40% which i could see. This test is as much of a referendum on the driver/heatsink setup as it is on the chips itself. wed need to test another mfrs chips on the exact same setup to confirm the chip output relative to other models and mfrs

in any case 10% is within the range of bin flux/temperature droop as well. cree temp ratings always confuse me between the incongruent PCT and supra data

Another thing to consider is the entire effect of the system. you basically put 4 large high-surface area black objects in a sphere- its not out of line to think that if white reflectors alone are absorbing 8.2% that these could absorb a solid 10%

Thermal Droop from passive cooling is a Cree killer. They don't stand up to heat as well as others. One thing I can tell you is they run these lights for 24 hrs before starting the test. A passive cooled setup will suffer in these tests for sure. Growma5 made a video showing there difference between a small amount of air movement and no air movement. In all cases there is a drastic decrease in Tc when a small amount of air movement is introduced. With the maximizer we use passive sized heat sinks in a duct cooled housing. With a 6" fan attached turned all the way down with a speed controller they stay cool to the touch. We will have our sphere data from maximizer back by Wednesday.


Here's the numbers i get from the Cree pct. Errors made by Supras numbers where always going by middle of the bin and everyone went with 25c tj........

@PSUAGRO.

Who said anything about cobs with the 2.8 claim


Also was nextlights data provided to you or was it tested at the same facility in the same exacting conditions? As I stated a little air movement goes a long ways.

Edit
Also I notice 150F. If that is ambient then even the numbers above are still calculated at a lower temp.......

 

[Stephenj37826]

Also id like to see some .ies files from various lighting manufacturers.

Goniophotometer testing is very important to show real world results.

Think of sphere data as a dyno. You've got the horsepower now you need to put it to the ground. We will openly provide the ies files of the maximizer as well.

As they say in the racing world don't build a dyno queen..... Transversly don't build a sphere queen either.