168 lines
7.7 KiB
Python
Executable File
168 lines
7.7 KiB
Python
Executable File
#!/usr/bin/env python3
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from fake_cores_db import *
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from stacked_cores_40xx_db import *
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class SimParamsCascaded(SimParams):
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def __init__(self, p1: SimParams, p2: SimParams):
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super().__init__(p1.couplings, p1.wrappings_spec, p1.um, p1.drive_str)
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self.p1 = p1
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self.p2 = p2
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@property
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def is_inverter(self) -> bool:
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return self.p1.is_inverter ^ self.p2.is_inverter
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@property
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def human_name(self) -> str:
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return f"Cascade: {self.p1.human_name} -> {self.p2.human_name}"
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# plot pre-40xx sims
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for (name, curve) in [
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# ("fake step", fwd_fake_step.logically_inverted()),
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# ("fake 1.5x", fwd_fake_1_5x.logically_inverted()),
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# ("fake slope-change", fwd_fake_slope_change_before_0_5.logically_inverted()),
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# ("fake slope-change (delayed)", fwd_fake_slope_change_after_0_5.logically_inverted()),
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# ("fake slope-change (delayed, shifted)", fwd_fake_slope_change_after_0_5.shifted_x(-0.1).logically_inverted()),
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# ("fake slope-change (delayed, shifted, inv-xy)", fwd_fake_slope_change_after_0_5.shifted_x(-0.1).shifted_y(-0.2).logically_inverted_x()),
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# ("fake slope-change (delayed, flipped)", fwd_fake_slope_change_after_0_5.logically_inverted_x().logically_inverted()),
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# ("fake hill", fwd_fake_hill.logically_inverted()),
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# ("fake asymmetric hill", fwd_fake_asymmetric_hill.logically_inverted()),
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# ("fake asymmetric flats", fwd_fake_asymmetric_flats.logically_inverted()),
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# ("fake asymmetric overdrive", fwd_fake_asymmetric_overdrive.logically_inverted()),
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# ("fake asymmetric bottom out", fwd_fake_asymmetric_bottom_out.logically_inverted()),
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# ("18", fwd_18.logically_inverted()),
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# ("24 5:1 (2e10 I)", fwd_24_5_1_2e10.logically_inverted()),
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# ("24 5:1 (5e10 I)", fwd_24_5_1_5e10.logically_inverted()),
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# ("24 5:1 (8e10 I)", fwd_24_5_1_8e10.logically_inverted()),
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# ("26", fwd_26.logically_inverted()),
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# ("38 1:0 (2e10 I)", fwd_38_1_0.logically_inverted()),
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# ("38 1:0 (5e10 I)", fwd_38_1_0_5e10.logically_inverted()),
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# ("38 2:0 (2e10 I)", fwd_38_2_0.logically_inverted()),
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# ("38 2:0 (5e10 I)", fwd_38_2_0_5e10.logically_inverted()),
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# ("38 3:0 (2e10 I)", fwd_38_3_0.logically_inverted()),
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# ("38 3:0 (5e10 I)", fwd_38_3_0_5e10.logically_inverted()),
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# ("38 4:0 (2e10 I)", fwd_38_4_0.logically_inverted()),
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# ("38 4:0 (5e10 I)", fwd_38_4_0_5e10.logically_inverted()),
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# ("39 2:0 (2e10 I)", inv_39_2_0_2e10),
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# ("39 2:0 (5e10 I)", inv_39_2_0_5e10),
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# ("39 2:0 (8e10 I)", inv_39_2_0_8e10),
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# ("39 2:0 (1e11 I)", inv_39_2_0_1e11),
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# ("39 2:0 (15e10 I)", inv_39_2_0_15e10),
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]:
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curve.plot(title = f"{name} mapping")
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curve.logically_inverted().plot_slope(title = f"{name} slope")
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curve.plot_equilibrium(title = f"{name} equilibrium")
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# curve.plot_integral(title = f"{name} integrated")
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of_interest = []
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# plot select stims:
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# of_interest += filter_meas(rad_um=800, drive=5e10, couplings=12, wrappings=5)
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# of_interest += filter_meas(rad_um=800, drive=5e10, couplings=8, wrappings=11)
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# of_interest += filter_meas(rad_um=800, drive=5e10, couplings=12, wrappings=7)
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# of_interest += filter_meas(rad_um=800, drive=5e10, couplings=12, wrappings=5)
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# of_interest += filter_meas(rad_um=800, drive=5e10, couplings=10, wrappings=9)
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# of_interest += filter_meas(rad_um=800, drive=1e11, couplings=18, wrappings=5)
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# of_interest += filter_meas(rad_um=800, drive=1e11, couplings=12, wrappings=7)
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# of_interest += filter_meas(rad_um=800, drive=1e11, couplings=24, wrappings=3)
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# of_interest += [(p, c.shifted_y(-0.13)) for (p, c) in filter_meas(rad_um=800, drive=1e11, couplings=12, wrappings=7)]
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# of_interest += filter_meas(run="40", rad_um=800, drive=1e11, couplings=8, wrappings=11)
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# of_interest += filter_meas(run="40", rad_um=800, drive=1e11, couplings=10, wrappings=9)
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# of_interest += filter_meas(run="40", rad_um=1200, drive=1e11, couplings=12, wrappings=9)
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# of_interest += filter_meas(run="40", rad_um=1200, drive=1e11, couplings=10, wrappings=11)
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# of_interest += filter_meas(run="40", rad_um=1200, drive=2e11, couplings=12, wrappings=9)
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# of_interest += filter_meas(run="41", viable_inverter=True)
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# of_interest = [
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# (p, c) for (p, c) in of_interest if p not in [
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# SimParams41(9, 3, 600, "3e9"),
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# SimParams41(9, 1, 400, "3e9"),
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# SimParams41(10, 3, 800, "25e8"),
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# SimParams41(9, 1, 400, "2e9"),
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# SimParams41(10, 3, 800, "2e9"),
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# SimParams41(10, 3, 800, "3e9"),
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# SimParams41(10, 3, 800, "1e9"),
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# SimParams41(10, 3, 800, "5e9"),
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# SimParams41(10, 3, 800, "5e10"),
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# SimParams41(9, 3, 600, "1e10"),
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# SimParams41(9, 1, 400, "2e10"),
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# ]
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# ]
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of_interest += [(p, get_meas(p)) for p in
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[
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# SimParams41(4, 3, 400, "2e10"),
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# SimParams41(4, 3, 400, "4e10"),
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# SimParams41(16, 2, 800, "2e10"),
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# SimParams41(18, 1, 600, "3e9"),
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# SimParams41(18, 1, 600, "5e9"),
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# SimParams41(18, 1, 600, "1e10"),
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# SimParams41(18, 1, 600, "2e10"),
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# SimParams41(4, 3, 400, "1e10"),
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# SimParams41(9, 1, 400, "1e10"),
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# SimParams41(12, 2, 600, "1e10"),
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# SimParams41(12, 2, 600, "5e9"),
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# SimParams41(10, 3, 800, "2e10"),
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# SimParams41(6, 2, 400, "1e10"),
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# SimParams41(9, 3, 600, "2e10"),
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# SimParams41(10, 3, 800, "1e10"),
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# SimParams41(24, 1, 800, "3e9"),
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# SimParams41(24, 1, 800, "5e9"),
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# SimParams41(16, 2, 800, "1e10"),
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# SimParams41(24, 2, 1200, "5e9"),
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# SimParams41(24, 2, 1200, "1e10"),
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# SimParams41(36, 1, 1200, "5e9"),
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# SimParams41(36, 1, 1200, "4e9"),
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# SimParams41(36, 1, 1200, "3e9"),
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# # SimParams41(9, 1, 400, "5e9"),
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# SimParams41(18, 0, 400, "1e10"),
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# SimParams41(18, 0, 400, "5e9"),
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# SimParams41(9, 1, 400, "5e9"),
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# SimParams41(9, 1, 400, "1e10"),
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# SimParams41(9, 1, 400, "2e10"),
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] if get_meas(p)
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]
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# plot all viable inverters
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of_interest += filter_meas(run="40")
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# of_interest += filter_meas(run="41", viable_inverter=True)
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# of_interest += filter_meas(run="42", rad_um=400, couplings=4)
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# of_interest += filter_meas(run="42", rad_um=400, couplings=9)
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# of_interest += filter_meas(run="42", rad_um=400, couplings=2)
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# of_interest += filter_meas(run="42", rad_um=400, couplings=6)
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# of_interest += filter_meas(run="43")
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# plot cascaded inverter -> buffer
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# for (inv_p, inv_curve) in filter_meas(is_inverter=True):
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# for (fwd_p, fwd_curve) in filter_meas(rad_um=400, is_inverter=False):
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# of_interest += [ (SimParamsCascaded(inv_p, fwd_p), inv_curve.cascaded(fwd_curve)) ]
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# plot cascaded buffer -> inverter
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# for (fwd_p, fwd_curve) in filter_meas(run="41", is_inverter=False):
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# for (inv_p, inv_curve) in filter_meas(is_inverter=True):
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# of_interest += [ (SimParamsCascaded(fwd_p, inv_p), fwd_curve.cascaded(inv_curve)) ]
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# of_interest += filter_meas(is_inverter=False)
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# of_interest += filter_meas(is_inverter=True)
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# of_interest.sort(key = lambda i: -i[1].max_abs_slope())
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of_interest.sort(key = lambda i: -i[1].get_range()) # output range
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# of_interest.sort(key = lambda i: i[1].get(0.5) - i[1].get(1.0)) # delayed output swing
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# of_interest.sort(key = lambda i: i[1].get(0.5) - i[1].get(0.0)) # early output swing
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# of_interest.sort(key = lambda i: i[1].get_repeated(1.0) - i[1].get_repeated(0.0)) # inverter strength
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for (params, curve) in of_interest[:5]:
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curve.plot(title = f"{params.human_name} mapping")
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curve.plot_slope(title = f"{params.human_name} slope")
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# if not params.is_inverter:
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# curve = curve.logically_inverted()
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if params.is_inverter:
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curve.plot_equilibrium(title = f"{params.human_name} equilibrium")
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