def Plot(fname1='run/out_chip2_nmos2_drain1_5v_vddat1_5v_gnadtgrounded_rad0Krad.txt',
fname2='run/beforeIrradiation/test_chip2_pmos5_drain1_5v_vddat1_5v_gnadtfloating.txt'):
# Process
info = Parse(fname1)
#info = Parse('run/out_chip1_pmos8_drain1_5v_vddat1_5v_gnadtgrounded_rad0Kradproper.txt')
info2 = Parse(fname2)
#info = Parse('run/beforeIrradiation/test_chip3_pmos5_drain1_5v_vddat1_5v_gnadtfloating.txt')
#setPlotDefaults(ROOT)
Style()
c1 = ROOT.TCanvas("c1","testbeam efficiency",50,50,600,600);
mg = ROOT.TMultiGraph();
gr1,gr1sq = GetTGraph(info,color=1)
gr2,gr2sq = GetTGraph(info2,'gr2',color=2)
gr1sq.Draw();
#gr2.Draw('same')
leg = ROOT.TLegend(0.45, 0.2, 0.85, 0.4);
leg.SetBorderSize(0);
leg.SetFillStyle(0);
#leg.AddEntry(gr3, "60V Bias");
#leg.AddEntry(gr2, "90V Bias");
leg.AddEntry(gr1, "PMOS");
leg.Draw();
c1.Update();
c1.WaitPrimitive();
data=[]
for i in info:
d = DataPoint(i[0],i[1],i[2],i[3])
data+=[d]
dset = DataSet(data,'data')
dset.set_transistor_dimensions(4.0, 0.18)
dset.calc_characteristics()
print 'Vthr: ',dset._vthr
print dset.get_characteristics()
vis = Visualizer('title', '2 1')
vis.add_plot(dset, ty='rawData', ind='0 0')
vis.add_plot(dset, ty='sqData', ind='1 0')
vis.get_plot()
#raw_input('wait')
my_type='NMOS'
if PMOS:
my_type = 'PMOS'
#ta.max_slope(dset)
dataa=np.loadtxt(fname1,unpack=True, skiprows=2)
#print dataa
if NSAMPLE>0:
ths=[]
rand = ROOT.TRandom3()
rand.SetSeed(4)
for i in range(0,NSAMPLE):
sampled_data = copy.deepcopy(dataa)
for n in range(0,len(sampled_data[1])):
sampled_data[1][n] += rand.Gaus(0.0,sampled_data[1][3]/3.0)
#print sampled_data[1][n],' ',dataa[1][n]
ths += [ta.global_plot_single(sampled_data, transistor= my_type, no_show=NSAMPLE>0)]
mean_ths = np.mean(ths)
print 'mean: ',mean_ths
print ths
rms_ths = []
for m in ths:
rms_ths += [m-mean_ths]
rms_th = math.sqrt(np.sum(np.square(rms_ths))/float(len(rms_ths)-1))
print 'std. dev.:',rms_th
else:
th = ta.global_plot_single(dataa, transistor= my_type, no_show=(NSAMPLE>0))
print th
configuration_file = ''
with open('config_deviceHV.yaml', 'r') as file:
configuration_file = yaml.load(file)
dev_hv = KeithleySMU2400Series(configuration_file,1)
dev_hv.disable_output()
dev_hv.enable_output()
data, number = dev_hv.sweep(dev_hv)
for d in data:
print 'Vg, Id, Id,errV,errI, Vd, Ig, Id,errVd,errIg'
print(d.x, d.y,d.x_err, d.y_err,d.w, d.z,d.w_err, d.z_err)
dset = DataSet(data,'data')
dset.set_transistor_dimensions(4.0, 0.18)
dset.calc_characteristics()
vis = Visualizer('title', '2 1')
vis.add_plot(dset, ty='rawData', ind='0 0')
vis.add_plot(dset, ty='sqData', ind='1 0')
vis.get_plot()
output_file = 'run/out_hv_iv_chip%s.txt' %(chip_number)
f=time.strftime(output_file)
f=open(f,'w+')
print >> f, time.strftime("[%Y-%m-%d %H:%M:%S]\n"), "<V>, <Id>, sd_V, sd_I, <Vd>, <Ig>, sd_Vd, sd_Ig\n",
for d in data:
print >> f,d.x, d.y, d.x_err, d.y_err,d.w, d.z,d.w_err, d.z_err