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app: stacked_cores: 58-xx: try merging cores via a complementary buffer 

results aren't any better than the earlier complementary buffers
This commit is contained in:
colin 2022-11-16 12:29:27 +00:00
parent 9d4e245388
commit a2a851b26f
4 changed files with 406 additions and 5 deletions
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43
crates/applications/stacked_cores/scripts/plot_58xx.py Executable file
View File

@ -0,0 +1,43 @@
#!/usr/bin/env python3
from natsort import natsorted
from stacked_cores_52xx import *
from stacked_cores_52xx_plotters import *
def extract_58xx_tx(meas_rows: list) -> tuple:
"""
extracts a flat tuple of input/output M mappings from a 58xx run
"""
return (
meas_rows[0].m[0], # input (neg)
meas_rows[0].m[2], # I/O (pos)
meas_rows[0].m[3], # I/O (neg)
meas_rows[0].m[5], # input (pos)
meas_rows[1].m[2], # output (pos)
meas_rows[1].m[3], # output (neg)
0.5 * (meas_rows[1].m[2] - meas_rows[1].m[3]) # output (diff)
)
buf_gates = read_db(lambda name: name.startswith("58-"))
sweep_buf_inputs = lambda points=101: [(-m, m, -m, m, None, None, None) for m in sweep_1d(points)]
sweep_mpos = lambda mneg, points=101: [(mneg, m, mneg, m, None, None, None) for m in sweep_1d(points)]
for name, meas in natsorted(buf_gates.items()):
# sweep Mneg = -Mpos
# trace = eval_series(meas, sweep_buf_inputs(41), extract_58xx_tx, y_idx=6)
# plot(f"{name}", "Mpos", trace)
# plot_slope(f"slope {name}", "Mpos", trace)
# sweep M0 with M1 fixed constant (to check for some `max(M+, M-)`-like effect
trace = eval_series(meas, sweep_mpos(-5000, 41), extract_58xx_tx, y_idx=6)
plot(f"{name}", "Mneg=-5000", trace)
plot_slope(f"slope {name}", "Mneg=-5000", trace)
trace = eval_series(meas, sweep_mpos(5000, 41), extract_58xx_tx, y_idx=6)
plot(f"{name}", "Mneg=5000", trace)
plot_slope(f"slope {name}", "Mneg=5000", trace)

336
crates/applications/stacked_cores/scripts/stacked_cores_52xx_db.py
View File

@ -2597,26 +2597,138 @@ DB = {
MeasRow(4e-09, [ 16825, -17294, -17292, 16243, -17747, -17703]),
MeasRow(6e-09, [-27897, -5218, -16601, 14065, -12827, -27939]),
],
(-0.060, -0.060,): [
MeasRow(4e-09, [ -5092, -17433, -4412, -4484, -17435, -5190]),
MeasRow(6e-09, [-27905, -9769, -5037, -5081, -9860, -27902]),
],
(-0.040, -0.070,): [
MeasRow(4e-09, [ -8560, -17434, 2047, -8423, -17437, 1724]),
MeasRow(6e-09, [-27909, -10542, 1050, -8810, -8342, -27895]),
],
(-0.020, -0.080,): [
MeasRow(4e-09, [-12000, -17434, 4962, -12190, -17437, 5551]),
MeasRow(6e-09, [-27911, -11335, 3817, -12335, -7550, -27896]),
],
(-0.010, -0.090,): [
MeasRow(4e-09, [-15347, -17441, 6161, -15535, -17446, 6011]),
MeasRow(6e-09, [-27927, -12154, 5034, -15358, -7519, -27898]),
],
( 0.000, 0.000,): [
MeasRow(4e-09, [ 6637, -17439, 3593, 3649, -17442, 6579]),
MeasRow(6e-09, [-27891, -6977, 2102, 2136, -7044, -27889]),
],
( 0.010, -0.110,): [
MeasRow(4e-09, [-17064, -17662, 8613, -17251, -17679, 6770]),
MeasRow(6e-09, [-27929, -12725, 7365, -16423, -7600, -27897]),
],
( 0.010, -0.100,): [
MeasRow(4e-09, [-16619, -17578, 8090, -16768, -17587, 6789]),
MeasRow(6e-09, [-27934, -12565, 6883, -16177, -7506, -27896]),
],
( 0.010, -0.010,): [
MeasRow(4e-09, [ 6228, -17439, 4693, 2510, -17441, 6930]),
MeasRow(6e-09, [-27892, -7046, 3083, 1140, -7004, -27888]),
],
( 0.020, -0.020,): [
MeasRow(4e-09, [ 5760, -17439, 5617, 1481, -17441, 7277]),
MeasRow(6e-09, [-27893, -7142, 3913, 256, -6971, -27887]),
],
( 0.030, -0.110,): [
MeasRow(4e-09, [-17064, -17663, 10372, -17254, -17676, 7527]),
MeasRow(6e-09, [-27930, -12694, 8929, -16420, -7462, -27894]),
],
( 0.030, -0.030,): [
MeasRow(4e-09, [ 4798, -17440, 6514, 457, -17441, 7647]),
MeasRow(6e-09, [-27892, -7354, 4735, -616, -6932, -27886]),
],
( 0.040, -0.040,): [
MeasRow(4e-09, [ 1809, -17439, 7520, -647, -17441, 8057]),
MeasRow(6e-09, [-27893, -8020, 5749, -1586, -6866, -27884]),
],
( 0.050, -0.050,): [
MeasRow(4e-09, [ -1607, -17438, 8665, -2199, -17441, 8526]),
MeasRow(6e-09, [-27898, -8784, 6898, -2966, -6786, -27884]),
],
( 0.060, -0.140,): [
MeasRow(4e-09, [-17370, -17715, 14259, -17395, -17639, 8956]),
MeasRow(6e-09, [-27931, -12712, 12289, -16558, -7176, -27893]),
],
( 0.060, -0.120,): [
MeasRow(4e-09, [-17297, -17700, 13641, -17399, -17662, 8983]),
MeasRow(6e-09, [-27931, -12695, 11760, -16539, -7183, -27893]),
],
( 0.060, -0.060,): [
MeasRow(4e-09, [ -5088, -17437, 9985, -5434, -17439, 9062]),
MeasRow(6e-09, [-27901, -9583, 8170, -5900, -6728, -27886]),
],
( 0.070, -0.070,): [
MeasRow(4e-09, [ -8556, -17437, 11859, -8900, -17438, 9734]),
MeasRow(6e-09, [-27908, -10378, 9919, -9065, -6657, -27891]),
],
( 0.080, -0.130,): [
MeasRow(4e-09, [-17347, -17694, 15116, -17282, -17582, 12127]),
MeasRow(6e-09, [-27931, -12672, 13046, -16515, -6442, -27898]),
],
( 0.080, -0.080,): [
MeasRow(4e-09, [-11998, -17428, 14545, -12387, -17438, 12132]),
MeasRow(6e-09, [-27911, -11147, 12355, -12246, -6229, -27894]),
],
( 0.090, -0.130,): [
MeasRow(4e-09, [-17342, -17683, 15551, -17204, -17532, 14744]),
MeasRow(6e-09, [-27930, -12666, 13443, -16484, -5841, -27889]),
],
( 0.100, -0.160,): [
MeasRow(4e-09, [-17376, -17692, 15827, -17160, -17472, 15663]),
MeasRow(6e-09, [-27931, -12682, 13694, -16467, -5610, -27892]),
],
( 0.100, -0.100,): [
MeasRow(4e-09, [-16591, -17514, 15978, -16376, -17384, 15672]),
MeasRow(6e-09, [-27933, -12358, 13796, -15847, -5531, -27890]),
],
( 0.110, -0.180,): [
MeasRow(4e-09, [-17397, -17697, 15856, -17150, -17426, 16117]),
MeasRow(6e-09, [-27931, -12694, 13725, -16467, -5490, -27898]),
],
( 0.110, -0.140,): [
MeasRow(4e-09, [-17352, -17675, 15901, -17109, -17410, 16121]),
MeasRow(6e-09, [-27930, -12661, 13761, -16437, -5476, -27898]),
],
( 0.120, -0.120,): [
MeasRow(4e-09, [-17274, -17649, 16004, -17027, -17363, 16345]),
MeasRow(6e-09, [-27930, -12618, 13845, -16371, -5401, -27897]),
],
( 0.130, -0.150,): [
MeasRow(4e-09, [-17360, -17673, 15985, -17080, -17366, 16391]),
MeasRow(6e-09, [-27931, -12660, 13834, -16418, -5394, -27896]),
],
( 0.130, -0.130,): [
MeasRow(4e-09, [-17333, -17659, 16018, -17055, -17356, 16392]),
MeasRow(6e-09, [-27930, -12638, 13858, -16397, -5386, -27896]),
],
( 0.140, -0.160,): [
MeasRow(4e-09, [-17370, -17675, 16015, -17079, -17359, 16411]),
MeasRow(6e-09, [-27930, -12663, 13859, -16418, -5384, -27896]),
],
( 0.150, -0.150,): [
MeasRow(4e-09, [-17357, -17666, 16067, -17055, -17345, 16428]),
MeasRow(6e-09, [-27931, -12651, 13903, -16400, -5368, -27896]),
],
( 0.170, -0.170,): [
MeasRow(4e-09, [-17378, -17671, 16107, -17057, -17335, 16456]),
MeasRow(6e-09, [-27931, -12662, 13940, -16406, -5356, -27896]),
],
( 0.180, -0.180,): [
MeasRow(4e-09, [-17388, -17674, 16120, -17059, -17331, 16470]),
MeasRow(6e-09, [-27931, -12666, 13950, -16407, -5349, -27896]),
],
( 0.200, -0.200,): [
MeasRow(4e-09, [-17407, -17678, 16143, -17064, -17325, 16495]),
MeasRow(6e-09, [-27932, -12672, 13969, -16411, -5338, -27896]),
],
( 0.230, -0.230,): [
MeasRow(4e-09, [-17430, -17687, 16148, -17080, -17319, 16523]),
MeasRow(6e-09, [-27931, -12686, 13978, -16430, -5328, -27895]),
],
( 0.250, -0.250,): [
MeasRow(4e-09, [-17443, -17691, 16151, -17090, -17315, 16539]),
MeasRow(6e-09, [-27932, -12691, 13978, -16434, -5321, -27895]),
@ -2645,30 +2757,138 @@ DB = {
MeasRow(4e-09, [ 16879, -18197, -17829, 15995, -18674, -18610]),
MeasRow(6e-09, [-29641, -4802, -16866, 14323, -14315, -29648]),
],
(-0.060, -0.060,): [
MeasRow(4e-09, [ 3987, -18442, 2755, 2899, -18439, 4100]),
MeasRow(6e-09, [-29641, -7996, 1774, 1734, -7825, -29644]),
],
(-0.040, -0.070,): [
MeasRow(4e-09, [ 2934, -18443, 4360, 1619, -18438, 5099]),
MeasRow(6e-09, [-29643, -8123, 2839, 921, -7687, -29645]),
],
(-0.020, -0.080,): [
MeasRow(4e-09, [ 1478, -18444, 5794, 510, -18436, 5894]),
MeasRow(6e-09, [-29642, -8439, 3983, -18, -7511, -29646]),
],
(-0.010, -0.090,): [
MeasRow(4e-09, [ -98, -18444, 6361, -471, -18436, 6267]),
MeasRow(6e-09, [-29642, -8861, 4501, -930, -7427, -29646]),
],
( 0.000, 0.000,): [
MeasRow(4e-09, [ 6732, -18446, 4443, 4576, -18442, 6850]),
MeasRow(6e-09, [-29643, -7140, 3161, 3092, -6953, -29645]),
],
( 0.010, -0.110,): [
MeasRow(4e-09, [ -3412, -18442, 7242, -3635, -18433, 7024]),
MeasRow(6e-09, [-29642, -9783, 5389, -3942, -7259, -29645]),
],
( 0.010, -0.100,): [
MeasRow(4e-09, [ -1741, -18444, 7204, -1993, -18434, 7027]),
MeasRow(6e-09, [-29642, -9299, 5280, -2371, -7241, -29645]),
],
( 0.010, -0.010,): [
MeasRow(4e-09, [ 6404, -18446, 5329, 3685, -18441, 7176]),
MeasRow(6e-09, [-29643, -7114, 3671, 2573, -6981, -29645]),
],
( 0.020, -0.020,): [
MeasRow(4e-09, [ 6078, -18447, 6210, 2817, -18440, 7505]),
MeasRow(6e-09, [-29643, -7099, 4210, 2014, -6990, -29644]),
],
( 0.030, -0.110,): [
MeasRow(4e-09, [ -3409, -18442, 8010, -3641, -18433, 7777]),
MeasRow(6e-09, [-29642, -9750, 6050, -3948, -7059, -29644]),
],
( 0.030, -0.030,): [
MeasRow(4e-09, [ 5720, -18448, 7071, 1989, -18440, 7842]),
MeasRow(6e-09, [-29643, -7128, 4832, 1351, -6951, -29644]),
],
( 0.040, -0.040,): [
MeasRow(4e-09, [ 5329, -18449, 7855, 1276, -18439, 8189]),
MeasRow(6e-09, [-29642, -7194, 5465, 708, -6879, -29643]),
],
( 0.050, -0.050,): [
MeasRow(4e-09, [ 4876, -18449, 8447, 813, -18438, 8548]),
MeasRow(6e-09, [-29641, -7294, 5962, 287, -6796, -29643]),
],
( 0.060, -0.140,): [
MeasRow(4e-09, [ -8550, -18440, 9312, -8760, -18431, 8899]),
MeasRow(6e-09, [-29644, -11253, 7525, -8895, -6809, -29643]),
],
( 0.060, -0.120,): [
MeasRow(4e-09, [ -5107, -18442, 9212, -5340, -18433, 8903]),
MeasRow(6e-09, [-29642, -10215, 7199, -5586, -6780, -29643]),
],
( 0.060, -0.060,): [
MeasRow(4e-09, [ 4287, -18449, 8921, 526, -18437, 8917]),
MeasRow(6e-09, [-29641, -7443, 6380, 31, -6708, -29643]),
],
( 0.070, -0.070,): [
MeasRow(4e-09, [ 3031, -18448, 9366, 275, -18436, 9290]),
MeasRow(6e-09, [-29642, -7795, 6830, -198, -6616, -29643]),
],
( 0.080, -0.130,): [
MeasRow(4e-09, [ -6825, -18441, 10048, -7055, -18433, 9658]),
MeasRow(6e-09, [-29641, -10697, 8039, -7241, -6599, -29643]),
],
( 0.080, -0.080,): [
MeasRow(4e-09, [ 1526, -18446, 9801, -2, -18437, 9666]),
MeasRow(6e-09, [-29642, -8218, 7285, -459, -6523, -29643]),
],
( 0.090, -0.130,): [
MeasRow(4e-09, [ -6824, -18441, 10445, -7059, -18433, 10040]),
MeasRow(6e-09, [-29642, -10682, 8383, -7243, -6499, -29643]),
],
( 0.100, -0.160,): [
MeasRow(4e-09, [-11983, -18440, 11120, -12200, -18432, 10422]),
MeasRow(6e-09, [-29640, -12255, 9389, -12225, -6437, -29644]),
],
( 0.100, -0.100,): [
MeasRow(4e-09, [ -1722, -18444, 10666, -2030, -18437, 10429]),
MeasRow(6e-09, [-29642, -9141, 8216, -2394, -6350, -29644]),
],
( 0.110, -0.180,): [
MeasRow(4e-09, [-15297, -18458, 12172, -15498, -18457, 10807]),
MeasRow(6e-09, [-29644, -13272, 10611, -15255, -6376, -29645]),
],
( 0.110, -0.140,): [
MeasRow(4e-09, [ -8545, -18440, 11339, -8783, -18433, 10815]),
MeasRow(6e-09, [-29644, -11181, 9301, -8908, -6310, -29645]),
],
( 0.120, -0.120,): [
MeasRow(4e-09, [ -5100, -18441, 11581, -5363, -18435, 11212]),
MeasRow(6e-09, [-29642, -10118, 9237, -5598, -6178, -29646]),
],
( 0.130, -0.150,): [
MeasRow(4e-09, [-10264, -18435, 12680, -10528, -18432, 11611]),
MeasRow(6e-09, [-29642, -11658, 10610, -10595, -6116, -29646]),
],
( 0.130, -0.130,): [
MeasRow(4e-09, [ -6819, -18440, 12173, -7081, -18434, 11614]),
MeasRow(6e-09, [-29642, -10612, 9878, -7255, -6088, -29646]),
],
( 0.140, -0.160,): [
MeasRow(4e-09, [-11979, -18402, 13590, -12285, -18432, 12023]),
MeasRow(6e-09, [-29640, -12140, 11565, -12295, -6022, -29647]),
],
( 0.150, -0.150,): [
MeasRow(4e-09, [-10262, -18382, 13902, -10595, -18431, 12445]),
MeasRow(6e-09, [-29642, -11572, 11676, -10655, -5900, -29647]),
],
( 0.170, -0.170,): [
MeasRow(4e-09, [-13679, -18250, 15096, -14114, -18387, 13822]),
MeasRow(6e-09, [-29641, -12508, 13051, -14046, -5540, -29645]),
],
( 0.180, -0.180,): [
MeasRow(4e-09, [-15275, -18195, 15449, -15544, -18335, 14558]),
MeasRow(6e-09, [-29644, -12953, 13529, -15347, -5324, -29642]),
],
( 0.200, -0.200,): [
MeasRow(4e-09, [-16862, -18322, 15831, -16724, -18263, 15452]),
MeasRow(6e-09, [-29648, -13543, 14018, -16155, -5058, -29641]),
],
( 0.230, -0.230,): [
MeasRow(4e-09, [-17823, -18575, 15870, -17303, -18194, 16128]),
MeasRow(6e-09, [-29643, -14042, 14154, -16536, -4855, -29647]),
],
( 0.250, -0.250,): [
MeasRow(4e-09, [-18141, -18679, 15814, -17521, -18177, 16353]),
MeasRow(6e-09, [-29641, -14223, 14133, -16680, -4793, -29647]),
@ -2687,30 +2907,138 @@ DB = {
MeasRow(4e-09, [ 16191, -18730, -18443, 16092, -18727, -18335]),
MeasRow(6e-09, [-30153, 5202, -17632, 14459, -12072, -30161]),
],
(-0.080, -0.080,): [
MeasRow(4e-09, [ -8612, -18611, -6152, -6161, -18612, -8623]),
MeasRow(6e-09, [-30154, -7499, -8835, -8838, -7504, -30156]),
],
(-0.060, -0.060,): [
MeasRow(4e-09, [ -2381, -18621, -993, -999, -18622, -2390]),
MeasRow(6e-09, [-30154, -4436, -4708, -4706, -4443, -30156]),
],
(-0.040, -0.080,): [
MeasRow(4e-09, [ -8616, -18624, 4725, -7172, -18624, 3809]),
MeasRow(6e-09, [-30154, -7490, 2000, -12325, -1140, -30154]),
],
(-0.040, -0.070,): [
MeasRow(4e-09, [ -5500, -18625, 4546, -4310, -18627, 3808]),
MeasRow(6e-09, [-30154, -5951, 1243, -9348, -1222, -30154]),
],
(-0.040, -0.040,): [
MeasRow(4e-09, [ 3809, -18635, 3974, 3972, -18637, 3803]),
MeasRow(6e-09, [-30153, -1384, -793, -789, -1390, -30155]),
],
(-0.020, -0.080,): [
MeasRow(4e-09, [ -8616, -18629, 8047, -7670, -18633, 9763]),
MeasRow(6e-09, [-30154, -7486, 5629, -14102, 1953, -30153]),
],
(-0.010, -0.090,): [
MeasRow(4e-09, [-11709, -18629, 8588, -10577, -18635, 12426]),
MeasRow(6e-09, [-30153, -9044, 7044, -15975, 3442, -30156]),
],
( 0.000, 0.000,): [
MeasRow(4e-09, [ 13609, -18575, 8041, 8043, -18577, 13609]),
MeasRow(6e-09, [-30152, 3450, 1800, 1808, 3449, -30153]),
],
( 0.010, -0.130,): [
MeasRow(4e-09, [-17961, -19318, 9688, -18307, -19096, 14090]),
MeasRow(6e-09, [-30155, -12596, 9294, -17404, 3885, -30153]),
],
( 0.010, -0.110,): [
MeasRow(4e-09, [-16817, -18874, 9470, -16083, -18529, 13929]),
MeasRow(6e-09, [-30160, -11716, 8969, -17056, 4387, -30153]),
],
( 0.010, -0.100,): [
MeasRow(4e-09, [-14735, -18641, 9358, -13453, -18473, 13924]),
MeasRow(6e-09, [-30156, -10534, 8508, -16644, 4435, -30153]),
],
( 0.010, -0.010,): [
MeasRow(4e-09, [ 12430, -18653, 8440, 7627, -18488, 13942]),
MeasRow(6e-09, [-30155, 2801, 2389, 1271, 3724, -30153]),
],
( 0.020, -0.020,): [
MeasRow(4e-09, [ 9766, -18650, 8832, 7157, -18418, 14168]),
MeasRow(6e-09, [-30151, 1465, 3248, 520, 4006, -30153]),
],
( 0.030, -0.110,): [
MeasRow(4e-09, [-16816, -18872, 10108, -16081, -18431, 14291]),
MeasRow(6e-09, [-30160, -11704, 9571, -17065, 4646, -30154]),
],
( 0.030, -0.030,): [
MeasRow(4e-09, [ 6845, -18646, 9226, 5903, -18377, 14297]),
MeasRow(6e-09, [-30154, 19, 4114, -955, 4195, -30154]),
],
( 0.040, -0.040,): [
MeasRow(4e-09, [ 3815, -18641, 9635, 3512, -18337, 14412]),
MeasRow(6e-09, [-30153, -1440, 5006, -3493, 4346, -30154]),
],
( 0.050, -0.050,): [
MeasRow(4e-09, [ 731, -18636, 10064, 810, -18298, 14520]),
MeasRow(6e-09, [-30154, -2918, 6019, -6355, 4506, -30155]),
],
( 0.060, -0.180,): [
MeasRow(4e-09, [-18334, -19425, 12510, -19155, -19283, 14856]),
MeasRow(6e-09, [-30154, -12786, 11785, -17564, 4021, -30155]),
],
( 0.060, -0.140,): [
MeasRow(4e-09, [-18147, -19369, 11863, -18763, -19134, 14848]),
MeasRow(6e-09, [-30154, -12673, 11237, -17481, 4157, -30155]),
],
( 0.060, -0.120,): [
MeasRow(4e-09, [-17575, -19125, 11659, -17448, -18652, 14735]),
MeasRow(6e-09, [-30159, -12228, 11051, -17286, 4605, -30155]),
],
( 0.060, -0.060,): [
MeasRow(4e-09, [ -2375, -18631, 10516, -2011, -18259, 14623]),
MeasRow(6e-09, [-30155, -4420, 7074, -9328, 4660, -30155]),
],
( 0.070, -0.070,): [
MeasRow(4e-09, [ -5494, -18627, 11092, -4890, -18222, 14723]),
MeasRow(6e-09, [-30154, -5928, 8233, -12313, 4804, -30155]),
],
( 0.080, -0.130,): [
MeasRow(4e-09, [-17890, -19196, 13279, -18130, -18826, 14982]),
MeasRow(6e-09, [-30156, -12382, 12378, -17378, 4518, -30156]),
],
( 0.080, -0.080,): [
MeasRow(4e-09, [ -8611, -18603, 12323, -7830, -18187, 14823]),
MeasRow(6e-09, [-30155, -7415, 9993, -15093, 4932, -30155]),
],
( 0.090, -0.130,): [
MeasRow(4e-09, [-17854, -19128, 13924, -18055, -18768, 15066]),
MeasRow(6e-09, [-30156, -12291, 12863, -17361, 4604, -30156]),
],
( 0.100, -0.160,): [
MeasRow(4e-09, [-18156, -19158, 14409, -18690, -18987, 15167]),
MeasRow(6e-09, [-30153, -12424, 13217, -17491, 4445, -30156]),
],
( 0.100, -0.100,): [
MeasRow(4e-09, [-14722, -18387, 14634, -13798, -18121, 15026]),
MeasRow(6e-09, [-30156, -10189, 13249, -16702, 5188, -30156]),
],
( 0.110, -0.180,): [
MeasRow(4e-09, [-18154, -19057, 14958, -18588, -18942, 15241]),
MeasRow(6e-09, [-30154, -12318, 13609, -17503, 4537, -30156]),
],
( 0.110, -0.140,): [
MeasRow(4e-09, [-17970, -19024, 14829, -18288, -18816, 15247]),
MeasRow(6e-09, [-30154, -12216, 13507, -17394, 4631, -30156]),
],
( 0.120, -0.120,): [
MeasRow(4e-09, [-17357, -18619, 15599, -17127, -18366, 15301]),
MeasRow(6e-09, [-30159, -11582, 14044, -17203, 5080, -30156]),
],
( 0.130, -0.150,): [
MeasRow(4e-09, [-18004, -18871, 15499, -18235, -18775, 15410]),
MeasRow(6e-09, [-30153, -12075, 14010, -17417, 4763, -30156]),
],
( 0.130, -0.130,): [
MeasRow(4e-09, [-17699, -18712, 15711, -17595, -18539, 15402]),
MeasRow(6e-09, [-30156, -11806, 14147, -17277, 4967, -30156]),
],
( 0.140, -0.160,): [
MeasRow(4e-09, [-18048, -18853, 15615, -18259, -18775, 15490]),
MeasRow(6e-09, [-30153, -12077, 14107, -17442, 4808, -30156]),
],
( 0.150, -0.150,): [
MeasRow(4e-09, [-17988, -18799, 15713, -18141, -18720, 15553]),
MeasRow(6e-09, [-30153, -12000, 14176, -17407, 4882, -30156]),
@ -2719,6 +3047,10 @@ DB = {
MeasRow(4e-09, [-18068, -18810, 15740, -18233, -18742, 15638]),
MeasRow(6e-09, [-30154, -12043, 14204, -17457, 4914, -30156]),
],
( 0.180, -0.180,): [
MeasRow(4e-09, [-18087, -18812, 15747, -18254, -18746, 15669]),
MeasRow(6e-09, [-30154, -12053, 14211, -17473, 4927, -30155]),
],
( 0.200, -0.200,): [
MeasRow(4e-09, [-18114, -18812, 15760, -18284, -18753, 15716]),
MeasRow(6e-09, [-30154, -12064, 14223, -17497, 4947, -30155]),
@ -2727,6 +3059,10 @@ DB = {
MeasRow(4e-09, [-18129, -18809, 15776, -18297, -18755, 15754]),
MeasRow(6e-09, [-30155, -12069, 14235, -17508, 4965, -30155]),
],
( 0.230, -0.230,): [
MeasRow(4e-09, [-18134, -18807, 15783, -18301, -18756, 15770]),
MeasRow(6e-09, [-30155, -12070, 14240, -17513, 4974, -30155]),
],
( 0.250, -0.250,): [
MeasRow(4e-09, [-18144, -18803, 15799, -18309, -18756, 15798]),
MeasRow(6e-09, [-30154, -12071, 14252, -17521, 4989, -30155]),

4
crates/applications/stacked_cores/scripts/stacked_cores_52xx_plotters.py
View File

@ -4,7 +4,7 @@ import plotly.express as px
from pandas import DataFrame
import scipy.optimize as opt
unit_to_m = lambda u: -17000 + 34000 * u
unit_to_m = lambda u: -18000 + 36000 * u
sweep_1d = lambda points=101: [unit_to_m(x/(points-1)) for x in range(points)]
def plot(name: str, x_name: str, y_series: list):
@ -18,7 +18,7 @@ def plot_slope(name: str, x_name: str, y_series: list):
plot(name, x_name, slope)
def extract_slope(y_series: list):
dist = 2 * 34000 / (len(y_series) - 1)
dist = 2 * 36000 / (len(y_series) - 1)
known = [ (next - prev)/dist for (prev, next) in zip(y_series[:-2], y_series[2:]) ]
return [known[0]] + known + [known[-1]]

28
crates/applications/stacked_cores/src/main.rs
View File

@ -6605,7 +6605,27 @@ fn main() {
// more detailed sweep
( 0.05, -0.05),
( 0.15, -0.15),
( 0.25, -0.25),
// ( 0.25, -0.25),
][..],
&[
// because M1, M5 are init LOW, (0, 0) results in the neighbors being init > 0.
// so try to find the set point where they can be (0, 0)
(-0.06, -0.06),
// (-0.08, -0.08),
// (-0.04, -0.04),
(-0.04, -0.07), // +0.02, -0.01
(-0.02, -0.08), // +0.04, -0.02
(-0.01, -0.09), // +0.05, -0.03
( 0.01, -0.10), // +0.07, -0.04
( 0.01, -0.11), // +0.07, -0.05
( 0.03, -0.11), // +0.09, -0.05
( 0.06, -0.12), // +0.12, -0.06
( 0.08, -0.13), // +0.14, -0.07
( 0.09, -0.13), // +0.15, -0.07
( 0.10, -0.16), // +0.16, -0.10
( 0.11, -0.14), // +0.17, -0.08
( 0.13, -0.15), // +0.19, -0.09
( 0.14, -0.16), // +0.20, -0.10
][..],
&[
// even more verbosity
@ -6619,7 +6639,7 @@ fn main() {
( 0.07, -0.07),
( 0.12, -0.12),
( 0.17, -0.17),
( 0.22, -0.22),
// ( 0.22, -0.22),
][..],
&[
( 0.01, -0.01),
@ -6641,12 +6661,14 @@ fn main() {
// special case of A=0 is L*(2 + 1)
// L=13, A=0 gives 39
// this has runs actually increasing M2-M3
// Y(-18700, 15800) = ( 15300, -17300)
// slope: 0.92
(2e3, 2e4, ps(2000), ps(100), 13, 0, um(400), 5e9),
// Y(-18600, 16900) = ( 14300, -16900)
// slope: 0.91
(2e3, 2e4, ps(2000), ps(100), 8, 1, um(400), 5e9),
// Y(-17700, 16800) = ( 14100, -16600)
// slope: 0.91
(2e3, 2e4, ps(2000), ps(100), 4, 2, um(400), 2e10),
// Y(-18900, 17000) = ( 13700, -16900)