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Cross-platform desktop GUI for Wasatch Photonics spectrometers
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wasatch.IMX385.IMX385 Class Reference

Long-term, it might be worth having separate classes for HorizontalBinning and IMX385, which would allow characteristics for other sensors to go into other classes. More...

Public Member Functions

 __init__ (self)
 
 bin_2x2 (self, spectrum)
 
 bin_4x2 (self, spectrum, x=None)
 
 bin_4x2_avg (self, spectrum)
 
 bin_4x2_interp (self, spectrum, wavelengths)
 
 correct_ssc (self, spectrum, wavelengths, on_red=False)
 
 load_ssc_factors (self)
 

Public Attributes

dict ssc_factors
 
 ssc_wavelengths = range(400, 1001, 1)
 

Static Public Attributes

int BIN_2X2 = 0
 
int BIN_4X2 = 3
 
int BIN_4X2_AVG = 5
 
int BIN_4X2_INTERP = 4
 
int CORRECT_SSC = 1
 
int CORRECT_SSC_BIN_2X2 = 2
 

Detailed Description

Long-term, it might be worth having separate classes for HorizontalBinning and IMX385, which would allow characteristics for other sensors to go into other classes.

That would suggest having different EEPROM fields for color- correction vs horizontal binning, etc. At this point we're not sure if we're going to keep any of this, so not over-engineering (or over-allocating limit- ed EEPROM space) for now.

Constructor & Destructor Documentation

◆ __init__()

wasatch.IMX385.IMX385.__init__ ( self)

Member Function Documentation

◆ bin_2x2()

wasatch.IMX385.IMX385.bin_2x2 ( self,
spectrum )

◆ bin_4x2()

wasatch.IMX385.IMX385.bin_4x2 ( self,
spectrum,
x = None )
  • for physical pixels 0, 1, 2, 3...1951,
  • Which are logically grouped 2x2 into 976 pixel groups A, B, C...
  • Where A has physical pixels 0-1, B has 2-3, etc
  • That would be binning (A+B)/2, and (B+C)/2, etc
  • For 974 binned pixels, each averaging four physical columns
  • Adjacent “bin+step” pixels would each overlap by two physical columns
Regarding Wavecal

Aassume the unit was wavecal'd using bin_2x2. That means the wavelength assigned to pixel 0 is based on the bin_2x2'd average of pixel 0 and 1, and may be thought of as the true wavelength of pixel 0.5 (halfway between pixels 0 and 1).

Now that we're expanding to 4 pixels, the "true wavelength" of any 4-pixel span will be the bin_2x2'd wavelength of 'start+1' pixel, which will contain the averaged "true pixels" start+1, and start+2.

◆ bin_4x2_avg()

wasatch.IMX385.IMX385.bin_4x2_avg ( self,
spectrum )

◆ bin_4x2_interp()

wasatch.IMX385.IMX385.bin_4x2_interp ( self,
spectrum,
wavelengths )

◆ correct_ssc()

wasatch.IMX385.IMX385.correct_ssc ( self,
spectrum,
wavelengths,
on_red = False )

◆ load_ssc_factors()

wasatch.IMX385.IMX385.load_ssc_factors ( self)

Member Data Documentation

◆ BIN_2X2

int wasatch.IMX385.IMX385.BIN_2X2 = 0
static

◆ BIN_4X2

int wasatch.IMX385.IMX385.BIN_4X2 = 3
static

◆ BIN_4X2_AVG

int wasatch.IMX385.IMX385.BIN_4X2_AVG = 5
static

◆ BIN_4X2_INTERP

int wasatch.IMX385.IMX385.BIN_4X2_INTERP = 4
static

◆ CORRECT_SSC

int wasatch.IMX385.IMX385.CORRECT_SSC = 1
static

◆ CORRECT_SSC_BIN_2X2

int wasatch.IMX385.IMX385.CORRECT_SSC_BIN_2X2 = 2
static

◆ ssc_factors

dict wasatch.IMX385.IMX385.ssc_factors
Initial value:
= {
"red": np.asarray([ 0.0800, 0.0797, 0.0782, 0.0767, 0.0751, 0.0736, 0.0721, 0.0705, 0.0692, 0.0679, 0.0666, 0.0653, 0.0640, 0.0627, 0.0614, 0.0601, 0.0588, 0.0576, 0.0563, 0.0550, 0.0537, 0.0524, 0.0511, 0.0499, 0.0494, 0.0489, 0.0483, 0.0478, 0.0473, 0.0467, 0.0462, 0.0457, 0.0451, 0.0446, 0.0441, 0.0435, 0.0430, 0.0425, 0.0419, 0.0414, 0.0409, 0.0403, 0.0398, 0.0392, 0.0385, 0.0379, 0.0373, 0.0367, 0.0361, 0.0355, 0.0349, 0.0343, 0.0336, 0.0330, 0.0324, 0.0318, 0.0312, 0.0306, 0.0300, 0.0305, 0.0309, 0.0313, 0.0318, 0.0322, 0.0326, 0.0331, 0.0335, 0.0340, 0.0344, 0.0348, 0.0353, 0.0357, 0.0361, 0.0366, 0.0370, 0.0375, 0.0379, 0.0383, 0.0388, 0.0392, 0.0396, 0.0401, 0.0408, 0.0415, 0.0422, 0.0428, 0.0435, 0.0442, 0.0449, 0.0456, 0.0462, 0.0469, 0.0476, 0.0483, 0.0490, 0.0497, 0.0508, 0.0523, 0.0538, 0.0553, 0.0569, 0.0584, 0.0599, 0.0615, 0.0630, 0.0645, 0.0661, 0.0676, 0.0691, 0.0708, 0.0727, 0.0746, 0.0765, 0.0784, 0.0802, 0.0821, 0.0840, 0.0859, 0.0878, 0.0897, 0.0900, 0.0900, 0.0900, 0.0900, 0.0900, 0.0900, 0.0897, 0.0886, 0.0874, 0.0863, 0.0852, 0.0841, 0.0830, 0.0819, 0.0808, 0.0796, 0.0784, 0.0772, 0.0759, 0.0747, 0.0735, 0.0723, 0.0711, 0.0700, 0.0700, 0.0700, 0.0700, 0.0700, 0.0700, 0.0700, 0.0700, 0.0700, 0.0712, 0.0724, 0.0737, 0.0749, 0.0761, 0.0773, 0.0786, 0.0798, 0.0872, 0.0959, 0.1047, 0.1134, 0.1221, 0.1325, 0.1570, 0.1815, 0.2060, 0.2305, 0.2550, 0.2795, 0.3098, 0.3445, 0.3792, 0.4139, 0.4486, 0.4867, 0.5266, 0.5665, 0.6050, 0.6417, 0.6784, 0.7141, 0.7435, 0.7729, 0.8024, 0.8317, 0.8593, 0.8869, 0.9145, 0.9298, 0.9420, 0.9543, 0.9632, 0.9694, 0.9755, 0.9816, 0.9877, 0.9909, 0.9922, 0.9936, 0.9949, 0.9963, 0.9977, 0.9990, 0.9994, 0.9974, 0.9953, 0.9933, 0.9912, 0.9894, 0.9879, 0.9863, 0.9848, 0.9833, 0.9817, 0.9802, 0.9800, 0.9800, 0.9800, 0.9800, 0.9800, 0.9800, 0.9800, 0.9800, 0.9800, 0.9790, 0.9779, 0.9768, 0.9757, 0.9746, 0.9735, 0.9723, 0.9712, 0.9701, 0.9700, 0.9700, 0.9700, 0.9700, 0.9700, 0.9700, 0.9700, 0.9700, 0.9700, 0.9700, 0.9700, 0.9688, 0.9664, 0.9639, 0.9615, 0.9590, 0.9566, 0.9541, 0.9517, 0.9487, 0.9447, 0.9406, 0.9365, 0.9324, 0.9283, 0.9242, 0.9202, 0.9136, 0.9069, 0.9002, 0.8935, 0.8869, 0.8802, 0.8735, 0.8668, 0.8601, 0.8552, 0.8503, 0.8454, 0.8405, 0.8356, 0.8307, 0.8258, 0.8209, 0.8173, 0.8139, 0.8106, 0.8072, 0.8039, 0.8006, 0.7972, 0.7939, 0.7905, 0.7887, 0.7872, 0.7857, 0.7841, 0.7826, 0.7811, 0.7804, 0.7818, 0.7831, 0.7845, 0.7859, 0.7872, 0.7886, 0.7899, 0.7926, 0.7953, 0.7981, 0.8008, 0.8035, 0.8062, 0.8089, 0.8117, 0.8144, 0.8171, 0.8198, 0.8226, 0.8253, 0.8280, 0.8300, 0.8300, 0.8300, 0.8300, 0.8297, 0.8282, 0.8267, 0.8251, 0.8236, 0.8221, 0.8205, 0.8177, 0.8142, 0.8107, 0.8072, 0.8037, 0.8002, 0.7969, 0.7935, 0.7902, 0.7868, 0.7835, 0.7802, 0.7768, 0.7735, 0.7701, 0.7687, 0.7673, 0.7660, 0.7646, 0.7633, 0.7619, 0.7605, 0.7588, 0.7567, 0.7547, 0.7526, 0.7506, 0.7485, 0.7465, 0.7445, 0.7424, 0.7404, 0.7377, 0.7349, 0.7320, 0.7292, 0.7264, 0.7236, 0.7207, 0.7179, 0.7151, 0.7123, 0.7091, 0.7047, 0.7002, 0.6957, 0.6913, 0.6868, 0.6824, 0.6779, 0.6735, 0.6693, 0.6659, 0.6626, 0.6592, 0.6559, 0.6526, 0.6492, 0.6459, 0.6425, 0.6392, 0.6359, 0.6327, 0.6294, 0.6261, 0.6229, 0.6196, 0.6163, 0.6131, 0.6098, 0.6065, 0.6033, 0.6000, 0.5980, 0.5959, 0.5939, 0.5918, 0.5898, 0.5877, 0.5857, 0.5837, 0.5816, 0.5796, 0.5775, 0.5755, 0.5735, 0.5714, 0.5692, 0.5668, 0.5643, 0.5619, 0.5594, 0.5570, 0.5545, 0.5521, 0.5496, 0.5472, 0.5448, 0.5423, 0.5398, 0.5365, 0.5331, 0.5298, 0.5264, 0.5231, 0.5198, 0.5164, 0.5131, 0.5097, 0.5058, 0.5018, 0.4979, 0.4940, 0.4901, 0.4862, 0.4822, 0.4783, 0.4744, 0.4705, 0.4666, 0.4627, 0.4587, 0.4548, 0.4509, 0.4470, 0.4431, 0.4391, 0.4352, 0.4313, 0.4282, 0.4256, 0.4230, 0.4204, 0.4177, 0.4151, 0.4125, 0.4099, 0.4072, 0.4046, 0.4020, 0.3993, 0.3962, 0.3931, 0.3901, 0.3870, 0.3840, 0.3809, 0.3778, 0.3748, 0.3717, 0.3686, 0.3656, 0.3625, 0.3595, 0.3568, 0.3541, 0.3513, 0.3486, 0.3459, 0.3432, 0.3404, 0.3377, 0.3350, 0.3323, 0.3296, 0.3268, 0.3241, 0.3214, 0.3185, 0.3154, 0.3124, 0.3093, 0.3063, 0.3032, 0.3001, 0.2971, 0.2940, 0.2909, 0.2879, 0.2848, 0.2818, 0.2787, 0.2756, 0.2726, 0.2695, 0.2664, 0.2634, 0.2603, 0.2573, 0.2542, 0.2511, 0.2481, 0.2450, 0.2419, 0.2389, 0.2358, 0.2328, 0.2298, 0.2282, 0.2266, 0.2249, 0.2233, 0.2217, 0.2200, 0.2184, 0.2168, 0.2151, 0.2135, 0.2119, 0.2102, 0.2086, 0.2070, 0.2053, 0.2037, 0.2021, 0.2004, 0.1988, 0.1972, 0.1955, 0.1939, 0.1923, 0.1906, 0.1886, 0.1864, 0.1842, 0.1820, 0.1797, 0.1775, 0.1753, 0.1731, 0.1708, 0.1686, 0.1664, 0.1641, 0.1619, 0.1597, 0.1575, 0.1552, 0.1530, 0.1508, 0.1480, 0.1449, 0.1419, 0.1388, 0.1358, 0.1327, 0.1296, 0.1266, 0.1235, 0.1204, 0.1174, 0.1143, 0.1113, 0.1091, 0.1077, 0.1063, 0.1048, 0.1034, 0.1019, 0.1005, 0.0991, 0.0976, 0.0962, 0.0947, 0.0933, 0.0919, 0.0904, 0.0900, 0.0900, 0.0900, 0.0900, 0.0900, 0.0900 ]),
"blue": np.asarray([ 0.3900, 0.3925, 0.3949, 0.3974, 0.3998, 0.4056, 0.4118, 0.4179, 0.4240, 0.4301, 0.4363, 0.4424, 0.4485, 0.4546, 0.4608, 0.4669, 0.4730, 0.4791, 0.4856, 0.4921, 0.4985, 0.5050, 0.5115, 0.5180, 0.5245, 0.5310, 0.5374, 0.5439, 0.5504, 0.5569, 0.5634, 0.5699, 0.5746, 0.5793, 0.5840, 0.5888, 0.5935, 0.5982, 0.6029, 0.6076, 0.6123, 0.6170, 0.6217, 0.6263, 0.6309, 0.6355, 0.6401, 0.6447, 0.6493, 0.6515, 0.6532, 0.6550, 0.6567, 0.6585, 0.6602, 0.6620, 0.6637, 0.6655, 0.6672, 0.6690, 0.6700, 0.6700, 0.6700, 0.6700, 0.6700, 0.6700, 0.6700, 0.6699, 0.6686, 0.6672, 0.6658, 0.6645, 0.6631, 0.6618, 0.6604, 0.6565, 0.6516, 0.6467, 0.6418, 0.6357, 0.6289, 0.6221, 0.6153, 0.6085, 0.6016, 0.5948, 0.5872, 0.5777, 0.5682, 0.5587, 0.5491, 0.5396, 0.5301, 0.5206, 0.5099, 0.4992, 0.4885, 0.4778, 0.4670, 0.4563, 0.4455, 0.4347, 0.4238, 0.4129, 0.4020, 0.3911, 0.3802, 0.3694, 0.3586, 0.3479, 0.3372, 0.3265, 0.3158, 0.3050, 0.2959, 0.2883, 0.2806, 0.2730, 0.2653, 0.2577, 0.2500, 0.2432, 0.2364, 0.2296, 0.2228, 0.2160, 0.2092, 0.2024, 0.1971, 0.1927, 0.1882, 0.1837, 0.1793, 0.1748, 0.1704, 0.1659, 0.1615, 0.1573, 0.1532, 0.1491, 0.1450, 0.1409, 0.1368, 0.1328, 0.1287, 0.1246, 0.1205, 0.1164, 0.1123, 0.1089, 0.1062, 0.1036, 0.1010, 0.0984, 0.0957, 0.0931, 0.0905, 0.0879, 0.0852, 0.0826, 0.0800, 0.0783, 0.0765, 0.0748, 0.0730, 0.0713, 0.0695, 0.0678, 0.0660, 0.0643, 0.0625, 0.0608, 0.0597, 0.0591, 0.0586, 0.0580, 0.0575, 0.0569, 0.0563, 0.0558, 0.0552, 0.0547, 0.0541, 0.0536, 0.0530, 0.0524, 0.0519, 0.0513, 0.0508, 0.0502, 0.0495, 0.0487, 0.0479, 0.0471, 0.0462, 0.0454, 0.0446, 0.0438, 0.0430, 0.0421, 0.0413, 0.0405, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0400, 0.0408, 0.0422, 0.0436, 0.0449, 0.0463, 0.0476, 0.0490, 0.0504, 0.0517, 0.0531, 0.0544, 0.0558, 0.0572, 0.0585, 0.0599, 0.0617, 0.0635, 0.0654, 0.0672, 0.0690, 0.0709, 0.0727, 0.0745, 0.0764, 0.0782, 0.0801, 0.0819, 0.0837, 0.0856, 0.0874, 0.0892, 0.0906, 0.0915, 0.0924, 0.0934, 0.0943, 0.0953, 0.0962, 0.0972, 0.0981, 0.0990, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.1000, 0.0996, 0.0989, 0.0981, 0.0974, 0.0967, 0.0960, 0.0953, 0.0945, 0.0938, 0.0931, 0.0924, 0.0916, 0.0909, 0.0902, 0.0895, 0.0887, 0.0879, 0.0872, 0.0864, 0.0856, 0.0849, 0.0841, 0.0833, 0.0826, 0.0818, 0.0810, 0.0803, 0.0797, 0.0793, 0.0788, 0.0783, 0.0779, 0.0774, 0.0770, 0.0765, 0.0761, 0.0756, 0.0752, 0.0747, 0.0743, 0.0738, 0.0734, 0.0729, 0.0724, 0.0720, 0.0715, 0.0711, 0.0706, 0.0702, 0.0706, 0.0716, 0.0727, 0.0737, 0.0747, 0.0757, 0.0768, 0.0778, 0.0788, 0.0798, 0.0817, 0.0837, 0.0858, 0.0878, 0.0898, 0.0919, 0.0939, 0.0960, 0.0980, 0.1001, 0.1069, 0.1137, 0.1205, 0.1273, 0.1341, 0.1410, 0.1478, 0.1582, 0.1705, 0.1827, 0.1950, 0.2066, 0.2177, 0.2288, 0.2400, 0.2511, 0.2622, 0.2734, 0.2845, 0.2957, 0.3075, 0.3197, 0.3320, 0.3443, 0.3565, 0.3688, 0.3810, 0.3928, 0.4033, 0.4138, 0.4243, 0.4348, 0.4453, 0.4530, 0.4584, 0.4639, 0.4693, 0.4748, 0.4802, 0.4856, 0.4907, 0.4942, 0.4977, 0.5012, 0.5047, 0.5082, 0.5100, 0.5100, 0.5100, 0.5100, 0.5100, 0.5100, 0.5100, 0.5087, 0.5073, 0.5060, 0.5046, 0.5033, 0.5019, 0.5005, 0.4983, 0.4956, 0.4929, 0.4902, 0.4874, 0.4847, 0.4820, 0.4795, 0.4778, 0.4760, 0.4743, 0.4725, 0.4708, 0.4690, 0.4673, 0.4655, 0.4638, 0.4620, 0.4603, 0.4581, 0.4558, 0.4535, 0.4512, 0.4489, 0.4466, 0.4443, 0.4420, 0.4397, 0.4374, 0.4351, 0.4328, 0.4305, 0.4280, 0.4253, 0.4227, 0.4201, 0.4175, 0.4148, 0.4122, 0.4096, 0.4070, 0.4043, 0.4017, 0.3988, 0.3955, 0.3921, 0.3888, 0.3855, 0.3821, 0.3788, 0.3754, 0.3721, 0.3687, 0.3652, 0.3617, 0.3582, 0.3547, 0.3512, 0.3477, 0.3442, 0.3407, 0.3372, 0.3337, 0.3302, 0.3269, 0.3237, 0.3204, 0.3171, 0.3139, 0.3106, 0.3073, 0.3041, 0.3008, 0.2975, 0.2943, 0.2910, 0.2880, 0.2851, 0.2822, 0.2794, 0.2765, 0.2736, 0.2707, 0.2678, 0.2649, 0.2621, 0.2592, 0.2563, 0.2534, 0.2505, 0.2480, 0.2455, 0.2431, 0.2406, 0.2382, 0.2357, 0.2333, 0.2308, 0.2284, 0.2260, 0.2235, 0.2211, 0.2193, 0.2180, 0.2167, 0.2154, 0.2141, 0.2128, 0.2115, 0.2102, 0.2089, 0.2077, 0.2064, 0.2051, 0.2038, 0.2025, 0.2012, 0.1999, 0.1974, 0.1950, 0.1925, 0.1900, 0.1876, 0.1851, 0.1827, 0.1802, 0.1778, 0.1753, 0.1729, 0.1704, 0.1678, 0.1652, 0.1626, 0.1600, 0.1573, 0.1547, 0.1521, 0.1495, 0.1469, 0.1442, 0.1416, 0.1390, 0.1364, 0.1337, 0.1311, 0.1285, 0.1259, 0.1232, 0.1206, 0.1180, 0.1154, 0.1127, 0.1101, 0.1086, 0.1072, 0.1057, 0.1043, 0.1029, 0.1014, 0.1000, 0.0985, 0.0971, 0.0956, 0.0942, 0.0928, 0.0913, 0.0900, 0.0900, 0.0900, 0.0900, 0.0900 ]),
"green": np.asarray([ 0.0700, 0.0691, 0.0681, 0.0672, 0.0662, 0.0653, 0.0643, 0.0634, 0.0625, 0.0615, 0.0606, 0.0597, 0.0588, 0.0579, 0.0570, 0.0562, 0.0553, 0.0544, 0.0535, 0.0527, 0.0518, 0.0509, 0.0500, 0.0500, 0.0500, 0.0500, 0.0500, 0.0500, 0.0500, 0.0500, 0.0500, 0.0500, 0.0513, 0.0526, 0.0538, 0.0551, 0.0564, 0.0577, 0.0590, 0.0603, 0.0616, 0.0629, 0.0642, 0.0654, 0.0667, 0.0680, 0.0693, 0.0706, 0.0720, 0.0734, 0.0747, 0.0761, 0.0774, 0.0788, 0.0808, 0.0878, 0.0949, 0.1019, 0.1089, 0.1159, 0.1259, 0.1401, 0.1544, 0.1687, 0.1830, 0.1998, 0.2191, 0.2384, 0.2576, 0.2769, 0.2961, 0.3196, 0.3441, 0.3685, 0.3930, 0.4175, 0.4419, 0.4651, 0.4884, 0.5117, 0.5350, 0.5583, 0.5816, 0.6049, 0.6281, 0.6461, 0.6636, 0.6810, 0.6985, 0.7160, 0.7329, 0.7472, 0.7615, 0.7758, 0.7901, 0.8021, 0.8089, 0.8157, 0.8225, 0.8293, 0.8361, 0.8429, 0.8497, 0.8553, 0.8609, 0.8665, 0.8720, 0.8776, 0.8832, 0.8888, 0.8943, 0.8999, 0.9030, 0.9061, 0.9091, 0.9122, 0.9153, 0.9183, 0.9204, 0.9214, 0.9223, 0.9233, 0.9242, 0.9251, 0.9261, 0.9270, 0.9280, 0.9289, 0.9298, 0.9300, 0.9300, 0.9300, 0.9300, 0.9300, 0.9300, 0.9300, 0.9300, 0.9300, 0.9292, 0.9284, 0.9275, 0.9266, 0.9257, 0.9249, 0.9240, 0.9231, 0.9222, 0.9214, 0.9205, 0.9187, 0.9156, 0.9126, 0.9095, 0.9064, 0.9034, 0.9003, 0.8973, 0.8942, 0.8911, 0.8870, 0.8823, 0.8776, 0.8729, 0.8682, 0.8635, 0.8588, 0.8540, 0.8493, 0.8446, 0.8399, 0.8343, 0.8288, 0.8232, 0.8176, 0.8120, 0.8065, 0.8009, 0.7953, 0.7896, 0.7801, 0.7706, 0.7610, 0.7515, 0.7420, 0.7325, 0.7230, 0.7115, 0.6993, 0.6870, 0.6748, 0.6625, 0.6502, 0.6380, 0.6249, 0.6102, 0.5955, 0.5808, 0.5661, 0.5514, 0.5367, 0.5220, 0.5078, 0.4955, 0.4833, 0.4710, 0.4588, 0.4465, 0.4343, 0.4220, 0.4098, 0.3986, 0.3875, 0.3764, 0.3652, 0.3541, 0.3430, 0.3318, 0.3207, 0.3098, 0.3044, 0.2991, 0.2937, 0.2883, 0.2830, 0.2776, 0.2723, 0.2669, 0.2615, 0.2562, 0.2508, 0.2455, 0.2401, 0.2375, 0.2349, 0.2323, 0.2297, 0.2272, 0.2246, 0.2220, 0.2194, 0.2168, 0.2143, 0.2117, 0.2091, 0.2065, 0.2039, 0.2014, 0.1993, 0.1977, 0.1962, 0.1947, 0.1932, 0.1916, 0.1901, 0.1900, 0.1900, 0.1900, 0.1900, 0.1900, 0.1907, 0.1937, 0.1968, 0.1999, 0.2029, 0.2060, 0.2091, 0.2121, 0.2152, 0.2183, 0.2218, 0.2258, 0.2299, 0.2340, 0.2381, 0.2422, 0.2462, 0.2503, 0.2544, 0.2585, 0.2626, 0.2667, 0.2707, 0.2748, 0.2789, 0.2830, 0.2871, 0.2912, 0.2953, 0.2993, 0.3034, 0.3075, 0.3117, 0.3162, 0.3206, 0.3251, 0.3296, 0.3340, 0.3385, 0.3429, 0.3474, 0.3519, 0.3565, 0.3611, 0.3657, 0.3703, 0.3749, 0.3794, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3800, 0.3805, 0.3814, 0.3823, 0.3833, 0.3842, 0.3852, 0.3861, 0.3871, 0.3880, 0.3889, 0.3899, 0.3925, 0.3953, 0.3981, 0.4010, 0.4038, 0.4066, 0.4095, 0.4123, 0.4151, 0.4179, 0.4205, 0.4224, 0.4243, 0.4262, 0.4280, 0.4299, 0.4318, 0.4337, 0.4356, 0.4375, 0.4393, 0.4408, 0.4421, 0.4434, 0.4447, 0.4460, 0.4473, 0.4486, 0.4499, 0.4512, 0.4524, 0.4537, 0.4550, 0.4563, 0.4576, 0.4589, 0.4601, 0.4610, 0.4618, 0.4627, 0.4635, 0.4643, 0.4652, 0.4660, 0.4669, 0.4677, 0.4686, 0.4694, 0.4703, 0.4711, 0.4719, 0.4728, 0.4736, 0.4745, 0.4753, 0.4762, 0.4770, 0.4779, 0.4787, 0.4796, 0.4804, 0.4812, 0.4820, 0.4828, 0.4836, 0.4845, 0.4853, 0.4861, 0.4869, 0.4877, 0.4885, 0.4894, 0.4900, 0.4900, 0.4900, 0.4900, 0.4900, 0.4900, 0.4900, 0.4900, 0.4900, 0.4893, 0.4862, 0.4831, 0.4801, 0.4770, 0.4739, 0.4709, 0.4678, 0.4647, 0.4617, 0.4589, 0.4564, 0.4540, 0.4515, 0.4491, 0.4467, 0.4442, 0.4418, 0.4393, 0.4369, 0.4344, 0.4320, 0.4295, 0.4271, 0.4246, 0.4222, 0.4197, 0.4170, 0.4144, 0.4117, 0.4090, 0.4064, 0.4037, 0.4010, 0.3984, 0.3957, 0.3930, 0.3904, 0.3877, 0.3851, 0.3824, 0.3797, 0.3771, 0.3744, 0.3717, 0.3692, 0.3669, 0.3645, 0.3622, 0.3599, 0.3575, 0.3552, 0.3529, 0.3505, 0.3482, 0.3459, 0.3435, 0.3412, 0.3389, 0.3365, 0.3342, 0.3319, 0.3294, 0.3263, 0.3233, 0.3202, 0.3171, 0.3141, 0.3110, 0.3079, 0.3049, 0.3018, 0.2987, 0.2957, 0.2926, 0.2896, 0.2865, 0.2834, 0.2804, 0.2773, 0.2742, 0.2712, 0.2681, 0.2651, 0.2620, 0.2589, 0.2559, 0.2528, 0.2497, 0.2467, 0.2436, 0.2406, 0.2383, 0.2363, 0.2342, 0.2322, 0.2302, 0.2281, 0.2261, 0.2240, 0.2220, 0.2200, 0.2179, 0.2159, 0.2138, 0.2118, 0.2098, 0.2081, 0.2065, 0.2048, 0.2031, 0.2014, 0.1998, 0.1981, 0.1964, 0.1948, 0.1931, 0.1914, 0.1898, 0.1881, 0.1864, 0.1847, 0.1831, 0.1814, 0.1796, 0.1770, 0.1744, 0.1719, 0.1693, 0.1667, 0.1641, 0.1615, 0.1590, 0.1564, 0.1538, 0.1512, 0.1486, 0.1461, 0.1435, 0.1409, 0.1386, 0.1363, 0.1341, 0.1319, 0.1296, 0.1274, 0.1252, 0.1230, 0.1207, 0.1190, 0.1175, 0.1161, 0.1146, 0.1131, 0.1117, 0.1102, 0.1087, 0.1073, 0.1058, 0.1043, 0.1028, 0.1014, 0.0999, 0.0984, 0.0970, 0.0955, 0.0940, 0.0925, 0.0911, 0.0900, 0.0900, 0.0900, 0.0900 ])
}

◆ ssc_wavelengths

wasatch.IMX385.IMX385.ssc_wavelengths = range(400, 1001, 1)

The documentation for this class was generated from the following file: