SPICE MESFET level 1 test

load "spice/mes1.osdi"
load "resistor.osdi"

model v vsource
vgs (g 0) v dc=0
vds (d 0) v dc=0
  
subckt ntest()
  model nf sp_mes1 type=1 rd=46 rs=46 vt0=-1.5 lambda=0.03 alpha=3 beta=1.4e-3 cgs=1p cgd=2p
  j1 (d g 0) nf $mfactor=2 area=3
ends

subckt ptest()
  model pf sp_mes1 type=-1 rd=46 rs=46 vt0=-1.5 lambda=0.03 alpha=3 beta=1.4e-3 cgs=1p cgd=2p
  j1 (d g 0) pf $mfactor=2 area=3
ends

control
  print devices
  print device("sp_mes1")
  
  save p(j1,gm) p(j1,cqgs) p(j1,cqgd) default
  
  elaborate circuit("ntest")
  print instance("j1")
  sweep vgs instance="vgs" parameter="dc" from=-1.75 to=0 step=0.25
  sweep vds instance="vds" parameter="dc" from=0 to=5 step=0.1
    analysis op1 op
  
  elaborate circuit("ptest")
  print instance("j1")
  sweep vgs instance="vgs" parameter="dc" from=1.75 to=0 step=-0.25
  sweep vds instance="vds" parameter="dc" from=0 to=-5 step=-0.1
    analysis op2 op
 
  postprocess(PYTHON, "runme.py")
endc

embed "runme.py" <<<FILE
from rawfile import rawread
import numpy as np
import matplotlib.pyplot as plt

raw = rawread('op1.raw')
plot = raw.get(sweeps=1)

fig1 = plt.figure(figsize=(8,8), dpi=100)
fig1.suptitle('N-MESFET level 1 test')
ax_dict = fig1.subplot_mosaic("""
AC
BD
""")

ax_dict["A"].set_title('DC response')
ax_dict["A"].set_ylabel('Id [mA]')
ax_dict["A"].set_xlabel('Vds [V]')

ax_dict["B"].set_title('gm')
ax_dict["B"].set_ylabel('gm [mS]')
ax_dict["B"].set_xlabel('Vds [V]')

ax_dict["C"].set_title('cgs')
ax_dict["C"].set_ylabel('cgs [pF]')
ax_dict["C"].set_xlabel('Vds [V]')

ax_dict["D"].set_title('cgd')
ax_dict["D"].set_ylabel('cgd [pF]')
ax_dict["D"].set_xlabel('Vds [V]')

for ii in range(plot.sweepGroups):
    sdata = plot.sweepData(ii)
    # print(sdata)
    traceName = 'vgs=%.2e' % sdata['vgs']
    ax_dict["A"].plot(plot[ii, 'd'], -plot[ii, 'vds:flow(br)']*1e3, label=traceName)
    ax_dict["B"].plot(plot[ii, 'd'], plot[ii, 'j1.gm']*1e3, label=traceName)
    ax_dict["C"].plot(plot[ii, 'd'], plot[ii, 'j1.cqgs']*1e12, label=traceName)
    ax_dict["D"].plot(plot[ii, 'd'], plot[ii, 'j1.cqgd']*1e12, label=traceName)
    
ax_dict["A"].legend(loc='upper left')
ax_dict["B"].legend(loc='upper left')
ax_dict["C"].legend(loc='upper right')
ax_dict["D"].legend(loc='upper right')

fig1.tight_layout()


raw = rawread('op2.raw')
plot = raw.get(sweeps=1)

fig2 = plt.figure(figsize=(8,8), dpi=100)
fig2.suptitle('P-MESFETT level 1 test')
ax_dict = fig2.subplot_mosaic("""
AC
BD
""")

ax_dict["A"].set_title('DC response')
ax_dict["A"].set_ylabel('Id [mA]')
ax_dict["A"].set_xlabel('Vds [V]')

ax_dict["B"].set_title('gm')
ax_dict["B"].set_ylabel('gm [mS]')
ax_dict["B"].set_xlabel('Vds [V]')

ax_dict["C"].set_title('cgs')
ax_dict["C"].set_ylabel('cgs [pF]')
ax_dict["C"].set_xlabel('Vds [V]')

ax_dict["D"].set_title('cgd')
ax_dict["D"].set_ylabel('cgd [pF]')
ax_dict["D"].set_xlabel('Vds [V]')

for ii in range(plot.sweepGroups):
    sdata = plot.sweepData(ii)
    # print(sdata)
    traceName = 'vgs=%.2e' % sdata['vgs']
    ax_dict["A"].plot(plot[ii, 'd'], -plot[ii, 'vds:flow(br)']*1e3, label=traceName)
    ax_dict["B"].plot(plot[ii, 'd'], plot[ii, 'j1.gm']*1e3, label=traceName)
    ax_dict["C"].plot(plot[ii, 'd'], plot[ii, 'j1.cqgs']*1e12, label=traceName)
    ax_dict["D"].plot(plot[ii, 'd'], plot[ii, 'j1.cqgd']*1e12, label=traceName)
    
ax_dict["A"].legend(loc='lower right')
ax_dict["B"].legend(loc='upper right')
ax_dict["C"].legend(loc='upper right')
ax_dict["D"].legend(loc='upper left')

fig2.tight_layout()

plt.show()
>>>FILE


