Labs/Lab2/process.py

199 lines
6.2 KiB
Python
Raw Normal View History

import os
import ltspice
import matplotlib.pyplot as plt
import numpy as np
simulations = {
"longchannel": (5.0, """
.include modelcard/1um.pm
.param supply = {}
.param ll = 1u
"""),
"50nm": (1.0, """
.include ./modelcard/50nm.pm
.param supply = {}
.param ll=50nm
"""),
"16nmlp": (0.9, """
.include ./modelcard/PTM_LP/16nm.pm
.param supply = {}
.param ll=16nm
"""),
"16nmhp": (0.7, """
.include ./modelcard/PTM_HP/16nm.pm
.param supply = {}
.param ll=16nm
""")
}
moss = {
2021-01-27 15:04:23 -08:00
"pmos": "M1 2 1 vdd vdd pmos W={10*ll} L={ll}",
"nmos": "M1 2 1 0 0 nmos W={10*ll} L= ll"
}
script_dc = """
vdd vdd 0 {supply}
Vgs 1 0 {supply}
Vds 2 0 {supply}
.op
.dc vds 0 {supply} {supply/100} Vgs 0 {supply} {supply/12}
*.step param lambda 50n 100n 10n
.meas ix(1:D) at vgs='supply'
.save I(vds)
.end
"""
script_ring = """
.subckt nn d g s ww=100nm
mnfet d g s gnd nmos L=ll w=ww
.ends
.subckt pp d g s ww=100nm
mpfet d g s vdd pmos L=ll w=ww
.ends
.subckt inv out inn size=100n beta=2
XPP out inn vdd pp ww='size*beta/(beta+1)'
XNN out inn 0 nn ww='size/(beta+1)'
.ENDS inv
.global gnd vdd
vdd vdd 0 'supply'
*Top level
.ic v(n0)=0
X0 n1 n0 inv size = '10*ll'
X1 n2 n1 inv size = '10*ll'
X2 n3 n2 inv size = '10*ll'
X3 n4 n3 inv size = '10*ll'
X4 n0 n4 inv size = '10*ll'
.tran 0.1p 3n
"""
def find_period(ident, script, model, mos, l):
time = l.get_time()
data = l.get_data('V(n0)')
largest = max(data)
smallest = min(data)
diff = largest-smallest
nearmax = [(i, dp) for (i, dp) in enumerate(data) if abs((largest-dp)/diff) < 0.01]
nearmin = [(i, dp) for (i, dp) in enumerate(data) if abs((smallest-dp)/diff) < 0.01]
group1, group2 = [], []
# Discard near-min values
while nearmin[0][0] < nearmax[0][0]:
nearmin.pop(0)
# Group first peak
while nearmax[0][0] < nearmin[0][0]:
i, dp = nearmax.pop(0)
group1.append((dp, time[i]))
# Discard near-min values
while nearmin[0][0] < nearmax[0][0]:
nearmin.pop(0)
# Group first peak
while nearmax[0][0] < nearmin[0][0]:
i, dp = nearmax.pop(0)
group2.append((dp, time[i]))
peak1 = max(group1)[1] * 1000000000000
peak2 = max(group2)[1] * 1000000000000
2021-01-27 15:04:23 -08:00
print(ident, peak2-peak1, 1/(peak2-peak1) * 1000)
def find_table(ident, script, model, mos, l):
vds = l.get_data('vds')
current_lo = l.get_data('I(vds)', 0)
current_hi = l.get_data('I(vds)', l.case_count - 1)
if mos == "nmos":
vgs1 = l.get_data('I(vds)', l.case_count - 2)
vgs2 = l.get_data('I(vds)', l.case_count - 1)
gm = (vgs2[-1]-vgs1[-1])/(simulations[model][0]/12)
vds = l.get_data('vds', l.case_count - 1)
ids = l.get_data('I(vds)', l.case_count - 1)
ro = (vds[-5] - vds[-1])/(ids[-5] - ids[-1])
print("{} & {:.2E} & {:.2E} & {:.4} & {:.2E} & {:.2E} & {:.2E} \\\\".format(
ident[3:].replace("_", " "), -gm, -ro, gm * ro, -current_lo[-1], -current_hi[-1], current_hi[-1]/current_lo[-1]))
if mos == "pmos":
vgs1 = l.get_data('I(vds)', 0)
vgs2 = l.get_data('I(vds)', 1)
gm = (vgs2[0]-vgs1[0])/(simulations[model][0]/12)
vds = l.get_data('vds', 0)
ids = l.get_data('I(vds)', 0)
ro = (vds[50] - vds[0])/(ids[50] - ids[0])
print("{} & {:.2E} & {:.2E} & {:.4} & {:.2E} & {:.2E} & {:.2E} \\\\".format(
ident[3:].replace("_", " "), -gm, -ro, gm * ro, current_hi[0], current_lo[0], current_lo[0]/current_hi[0]))
def find_onoff(ident, script, model, mos, l):
vds = l.get_data('vds')
current_lo = l.get_data('I(vds)', 0)
current_hi = l.get_data('I(vds)', l.case_count - 1)
2021-01-18 13:56:27 -08:00
if mos == "nmos":
2021-01-27 15:04:23 -08:00
print("node: {}\toff: {:.2E}\ton: {:.2E}\tratio: {:.2E}".format(ident, -current_lo[-1], -current_hi[-1], current_hi[-1]/current_lo[-1]))
2021-01-18 13:56:27 -08:00
if mos == "pmos":
2021-01-27 15:04:23 -08:00
print("node: {}\toff: {:.2E}\ton: {:.2E}\tratio: {:.2E}".format(ident, current_hi[0], current_lo[0], current_lo[0]/current_hi[0]))
def find_gm(ident, script, model, mos, l):
vds = l.get_data('vds')
gms = []
2021-01-18 13:56:27 -08:00
if mos == "nmos":
vgs1 = l.get_data('I(vds)', l.case_count - 2)
vgs2 = l.get_data('I(vds)', l.case_count - 1)
gm = (vgs2[-1]-vgs1[-1])/(simulations[model][0]/12)
print(ident, -gm * 1000, "mA/V")
vds = l.get_data('vds', l.case_count - 1)
ids = l.get_data('I(vds)', l.case_count - 1)
ro = (vds[-5] - vds[-1])/(ids[-5] - ids[-1])
print(ident, -ro, "O")
print(ident, gm * ro)
if mos == "pmos":
vgs1 = l.get_data('I(vds)', 0)
vgs2 = l.get_data('I(vds)', 1)
gm = (vgs2[0]-vgs1[0])/(simulations[model][0]/12)
print(ident, -gm * 1000, "mA/V")
vds = l.get_data('vds', 0)
ids = l.get_data('I(vds)', 0)
ro = (vds[50] - vds[0])/(ids[50] - ids[0])
print(ident, -ro, "O")
print(ident, gm * ro)
def render_current(ident, script, model, mos, l):
vds = l.get_data('vds')
for i in range(l.case_count):
curr = l.get_data('I(vds)', i)
plt.plot(vds, curr)
plt.savefig(ident + "_current.png", dpi=192)
plt.close()
2021-01-18 13:56:27 -08:00
def run_sim(script, model, mos, callback, file_type = "dc"):
scriptname = "{}_{}_{}".format(file_type, model, mos)
with open(scriptname + ".cir", "w") as f:
f.write(simulations[model][1].format(simulations[model][0]))
if mos is not None: f.write(moss[mos])
f.write(script)
2021-01-14 19:57:37 -08:00
if not os.path.exists(scriptname + ".raw"):
sp = os.popen("wine ~/.wine/drive_c/Program\ Files/LTC/LTspiceXVII/XVIIx64.exe -b {}.cir -ascii"
.format(scriptname))
sp.read()
l = ltspice.Ltspice(scriptname + ".raw")
l.parse()
callback(scriptname, script, model, mos, l)
2021-01-27 15:04:23 -08:00
print(" --- LaTeX --- ")
for node in simulations.keys():
for mos in moss.keys():
run_sim(script_dc, node, mos, find_table)
2021-01-18 13:56:27 -08:00
print(" --- gm, ro --- ")
for mos in moss.keys():
for node in simulations.keys():
run_sim(script_dc, node, mos, find_gm)
print(" --- onoff --- ")
2021-01-27 15:04:23 -08:00
for node in simulations.keys():
for mos in moss.keys():
run_sim(script_dc, node, mos, find_onoff)
2021-01-18 13:56:27 -08:00
print(" --- period --- ")
for node in simulations.keys():
2021-01-18 13:56:27 -08:00
run_sim(script_ring, node, None, find_period, "t")