Circuit: transient analysis and eye plot#

This example shows how you can use PyAEDT to create a circuit design, run a Nexxim time-domain simulation, and create an eye diagram.

Perform required imports#

Perform required imports.

import os
from matplotlib import pyplot as plt
import numpy as np
from pyaedt import Circuit
from pyaedt import generate_unique_project_name

Set non-graphical mode#

Set non-graphical mode, "PYAEDT_NON_GRAPHICAL"` is needed to generate documentation only. You can set non_graphical either to True or False.

non_graphical = os.getenv("PYAEDT_NON_GRAPHICAL", "False").lower() in ("true", "1", "t")

Launch AEDT with Circuit#

Launch AEDT 2022 R2 in graphical mode with Circuit.

cir = Circuit(projectname=generate_unique_project_name(), specified_version="2022.2", new_desktop_session=True, non_graphical=non_graphical)

Read IBIS file#

Read an IBIS file and place a buffer in the schematic.

ibis = cir.get_ibis_model_from_file(os.path.join(cir.desktop_install_dir, 'buflib', 'IBIS', 'u26a_800.ibs'))
ibs = ibis.buffers["DQ_u26a_800"].insert(0, 0)

Place ideal transmission line#

Place an ideal transmission line in the schematic and parametrize it.

tr1 = cir.modeler.components.components_catalog["Ideal Distributed:TRLK_NX"].place("tr1")
tr1.parameters["P"] = "50mm"

Create resistor and ground#

Create a resistor and ground in the schematic.

res = cir.modeler.components.create_resistor("R1", "1Meg")
gnd1 = cir.modeler.components.create_gnd()

Connect elements#

Connect elements in the schematic.


Place probe#

Place a probe and rename it to Vout.

pr1 = cir.modeler.components.components_catalog["Probes:VPROBE"].place("vout")
pr1.parameters["Name"] = "Vout"
pr2 = cir.modeler.components.components_catalog["Probes:VPROBE"].place("Vin")
pr2.parameters["Name"] = "Vin"

Create setup and analyze#

Create a transient analysis setup and analyze it.

trans_setup = cir.create_setup("TransientRun", "NexximTransient")
trans_setup.props["TransientData"] = ["0.01ns", "200ns"]

Create report outside AEDT#

Create a report outside AEDT using the get_solution_data method. This method allows you to get solution data and plot it outside AEDT without needing a UI.

report ="V(Vout)", domain="Time")
if not non_graphical:
solutions = domain="Time")
Simulation Results Plot
<Figure size 2000x1000 with 1 Axes>

Create report inside AEDT#

Create a report inside AEDT using the new_report object. This object is fully customizable and usable with most of the reports available in AEDT. The standard report is the main one used in Circuit and Twin Builder.

new_report ="V(Vout)")
new_report.domain = "Time"
if not non_graphical:
    new_report.add_limit_line_from_points([60, 80], [1, 1], "ns", "V")
    vout = new_report.traces[0]
    vout.set_trace_properties(trace_style=vout.LINESTYLE.Dot, width=2, trace_type=vout.TRACETYPE.Continuous,
                              color=(0, 0, 255))
    vout.set_symbol_properties(style=vout.SYMBOLSTYLE.Circle, fill=True, color=(255, 255, 0))
    ll = new_report.limit_lines[0]
    ll.set_line_properties(style=ll.LINESTYLE.Solid, width=4, hatch_above=True, violation_emphasis=True, hatch_pixels=2,
                           color=(0, 0, 255))
new_report.time_start = "20ns"
new_report.time_stop = "100ns"
sol = new_report.get_solution_data()
Simulation Results Plot
<Figure size 2000x1000 with 1 Axes>

Create eye diagram inside AEDT#

Create an eye diagram inside AEDT using the new_eye object.

new_eye ="V(Vout)")
new_eye.unit_interval = "1e-9s"
new_eye.time_stop = "100ns"

Create eye diagram outside AEDT#

Create the same eye diagram outside AEDT using Matplotlib and the get_solution_data method.

unit_interval = 1
offset = 0.25
tstop = 200
tstart = 0
t_steps = []
i = tstart + offset
while i < tstop:
    i += 2 * unit_interval

t = [[i for i in solutions.intrinsics["Time"] if k - 2 * unit_interval < i <= k] for k in
ys = [[i / 1000 for i, j in zip(solutions.data_real(), solutions.intrinsics["Time"]) if
       k - 2 * unit_interval < j <= k] for k in t_steps]
fig, ax = plt.subplots(sharex=True)
cellst = np.array([])
cellsv = np.array([])
for a, b in zip(t, ys):
    an = np.array(a)
    an = an - an.mean()
    bn = np.array(b)
    cellst = np.append(cellst, an)
    cellsv = np.append(cellsv, bn)
plt.plot(cellst.T,  cellsv.T, zorder=0)
Circuit Transient

Release AEDT#

Release AEDT.


Total running time of the script: ( 0 minutes 26.247 seconds)

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