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Commit 0e92bae4 authored by Alexandros Asonitis's avatar Alexandros Asonitis
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added normalization unit to the ADU software

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hp4155/ADU/ADU_interface.ipynb
+ 7
− 7
View file @ 0e92bae4
%% Cell type:code id:6defdb49-06c2-469d-beb5-bc2e147e3f79 tags: %% Cell type:code id:6defdb49-06c2-469d-beb5-bc2e147e3f79 tags:
``` python ``` python
%run ADU_version_2.py %run ADU_version_2.py
``` ```
%% Output %% Output
%% Cell type:code id:10fec266-9d1a-451c-9bf3-6b75412eabaa tags: %% Cell type:code id:0331b265-0fe6-4749-ac85-099509f735ea tags:
``` python ``` python
``` ```
......
hp4155/ADU/ADU_version_2.py
+ 25
− 16
View file @ 0e92bae4
...@@ -74,6 +74,7 @@ def on_start_clicked(b): ...@@ -74,6 +74,7 @@ def on_start_clicked(b):
disable_widgets(all_widgets) disable_widgets(all_widgets)
width = sample["width"].value width = sample["width"].value
norm=normalization_factor(width) norm=normalization_factor(width)
norm_unit = sample["normalization"].value
Setup(device) #setup the device Setup(device) #setup the device
#start measurements #start measurements
...@@ -127,15 +128,18 @@ def on_start_clicked(b): ...@@ -127,15 +128,18 @@ def on_start_clicked(b):
#execute measurement #execute measurement
Vgs,Vds,Idmm,gm,Igmm=Transfer(smu1,smu2,smu3,smu4,integration_transfer.value,norm,device) Vgs,Vds,Idmm,gm,Igmm=Transfer(smu1,smu2,smu3,smu4,integration_transfer.value,norm,device)
#Idmm = np.array(Id)*normalization_factor(width) Id = np.array(Idmm)/normalization_factor(width)
#Igmm = np.array(Ig)*normalization_factor(width) Ig = np.array(Igmm)/normalization_factor(width)
#gmmm = np.array(gm)*normalization_factor(width) gm_S = np.array(gm)/normalization_factor(width)
#plot results #plot results
clear_output() clear_output()
plot_transfer(Vgs,Idmm,gm,points) plot_transfer(Vgs,Idmm,gm,points,norm_unit)
#save results #save results
header=['VGS(V)','VDS(V)','IDmm(mA/mm)',"IGmm(mA/mm)",'gm(mS/mm)',"ABS(IDmm)(mA/mm)","ABS(IGmm)(mA/mm)"] if norm_unit =='mA/mm':
data = {header[0]:Vgs,header[1]:Vds,header[2]:Idmm,header[3]:Igmm,header[4]:gm,header[5]:np.abs(Idmm),header[6]:np.abs(Igmm)} header=['VGS(V)','VDS(V)','IDmm(mA/mm)',"IGmm(mA/mm)",'gm(mS/mm)',"ABS(IDmm)(mA/mm)","ABS(IGmm)(mA/mm)","ID(A)","IG(A)","gm(S)"]
else:
header=['VGS(V)','VDS(V)','IDmm(µA/µm)',"IGmm(µA/µm)",'gm(µS/µm)',"ABS(IDmm)(µA/µm)","ABS(IGmm)(µA/µm)","ID(A)","IG(A)","gm(S)"]
data = {header[0]:Vgs,header[1]:Vds,header[2]:Idmm,header[3]:Igmm,header[4]:gm,header[5]:np.abs(Idmm),header[6]:np.abs(Igmm),header[7]:Id,header[8]:Ig,header[9]:gm_S}
df = pd.DataFrame(data) df = pd.DataFrame(data)
#write to file #write to file
...@@ -189,15 +193,18 @@ def on_start_clicked(b): ...@@ -189,15 +193,18 @@ def on_start_clicked(b):
#execute measurement #execute measurement
Vgs,Vds,Idmm,Igmm = Output(smu1,smu2,smu3,smu4,integration_output.value,norm,device) Vgs,Vds,Idmm,Igmm = Output(smu1,smu2,smu3,smu4,integration_output.value,norm,device)
#Idmm = np.array(Id)*normalization_factor(width) Id = np.array(Idmm)/normalization_factor(width)
#Igmm = np.array(Ig)*normalization_factor(width) Ig = np.array(Igmm)/normalization_factor(width)
#plot results #plot results
clear_output() clear_output()
plot_output(Vds,Idmm,Igmm,points) plot_output(Vds,Idmm,Igmm,points,norm_unit)
#save results #save results
header=['VGS(V)','VDS(V)','IDmm(mA/mm)',"IGmm(mA/mm)","ABS(IDmm)(mA/mm)","ABS(IGmm)(mA/mm)"] if norm_unit == 'mA/mm':
data = {header[0]:Vgs,header[1]:Vds,header[2]:Idmm,header[3]:Igmm,header[4]:np.abs(Idmm),header[5]:np.abs(Igmm)} header=['VGS(V)','VDS(V)','IDmm(mA/mm)',"IGmm(mA/mm)","ABS(IDmm)(mA/mm)","ABS(IGmm)(mA/mm)","ID(A)","IG(A)"]
else:
header=['VGS(V)','VDS(V)','IDmm(µA/µm)',"IGmm(µA/µm)","ABS(IDmm)(µA/µm)","ABS(IGmm)(µA/µm)","ID(A)","IG(A)"]
data = {header[0]:Vgs,header[1]:Vds,header[2]:Idmm,header[3]:Igmm,header[4]:np.abs(Idmm),header[5]:np.abs(Igmm),header[6]:Id,header[7]:Ig}
df = pd.DataFrame(data) df = pd.DataFrame(data)
#write to file #write to file
...@@ -233,14 +240,16 @@ def on_start_clicked(b): ...@@ -233,14 +240,16 @@ def on_start_clicked(b):
smu3.update(VAR1=var1) smu3.update(VAR1=var1)
#execute measurement #execute measurement
Vgs,Igmm,ABSIgmm=Gatediode(smu1,smu3,smu4,integration_gatediode.value,norm,device) Vgs,Igmm,ABSIgmm=Gatediode(smu1,smu3,smu4,integration_gatediode.value,norm,device)
#Igmm = np.array(Ig)*normalization_factor(width) Ig = np.array(Igmm)/normalization_factor(width)
#ABSIgmm = np.array(ABSIg)*normalization_factor(width)
clear_output() clear_output()
plot_gatediode(Vgs,Igmm) plot_gatediode(Vgs,Igmm,norm_unit)
#save results #save results
header=['VGS(V)','IGmm(mA/mm)',"ABS(IGmm(mA/mm))"] if norm_unit == 'mA/mm':
data = {header[0]:Vgs,header[1]:Igmm,header[2]:ABSIgmm} header=['VGS(V)','IGmm(mA/mm)',"ABS(IGmm)(mA/mm)",'IG(A)']
else:
header=['VGS(V)','IGmm(µA/µm)',"ABS(IGmm)(µA/µm)",'IG(A)']
data = {header[0]:Vgs,header[1]:Igmm,header[2]:ABSIgmm,header[3]:Ig}
df = pd.DataFrame(data) df = pd.DataFrame(data)
filename =f"{sample['sample'].value}_{sample['field'].value}_{sample['device'].value}D.txt" filename =f"{sample['sample'].value}_{sample['field'].value}_{sample['device'].value}D.txt"
......
hp4155/ADU/lib/help.py
+ 23
− 8
View file @ 0e92bae4
...@@ -7,7 +7,7 @@ import tkinter.messagebox ...@@ -7,7 +7,7 @@ import tkinter.messagebox
import pandas as pd import pandas as pd
def plot_transfer(x,y1,y2,curves): def plot_transfer(x,y1,y2,curves,norm_unit='mA/mm'):
x = np.array_split(x,curves) x = np.array_split(x,curves)
y1 = np.array_split(y1,curves) y1 = np.array_split(y1,curves)
...@@ -17,7 +17,10 @@ def plot_transfer(x,y1,y2,curves): ...@@ -17,7 +17,10 @@ def plot_transfer(x,y1,y2,curves):
color = 'tab:red' color = 'tab:red'
ax1.set_xlabel('$V_{GS} (V)$') ax1.set_xlabel('$V_{GS} (V)$')
if norm_unit == 'mA/mm':
ax1.set_ylabel('$I_{D} (mA/mm)$', color = color) ax1.set_ylabel('$I_{D} (mA/mm)$', color = color)
else:
ax1.set_ylabel('$I_{D} (µA/µm)$', color = color)
for i in range(curves): for i in range(curves):
ax1.plot(x[i], y1[i], color = color) ax1.plot(x[i], y1[i], color = color)
...@@ -28,7 +31,10 @@ def plot_transfer(x,y1,y2,curves): ...@@ -28,7 +31,10 @@ def plot_transfer(x,y1,y2,curves):
ax2 = ax1.twinx() ax2 = ax1.twinx()
color = 'tab:green' color = 'tab:green'
if norm_unit == "mA/mm":
ax2.set_ylabel('$g_{m} (mS/mm)$', color = color) ax2.set_ylabel('$g_{m} (mS/mm)$', color = color)
else:
ax2.set_ylabel('$g_{m} (µS/µm)$', color = color)
for i in range(curves): for i in range(curves):
ax1.plot(x[i], y2[i], color = color) ax1.plot(x[i], y2[i], color = color)
#ax2.plot(Vgs, gm, color = color) #ax2.plot(Vgs, gm, color = color)
...@@ -41,7 +47,7 @@ def plot_transfer(x,y1,y2,curves): ...@@ -41,7 +47,7 @@ def plot_transfer(x,y1,y2,curves):
display(fig) display(fig)
def plot_output(x,y1,y2,curves): def plot_output(x,y1,y2,curves,norm_unit = "mA/mm"):
x = np.array_split(x,curves) x = np.array_split(x,curves)
y1 = np.array_split(y1,curves) y1 = np.array_split(y1,curves)
...@@ -50,14 +56,20 @@ def plot_output(x,y1,y2,curves): ...@@ -50,14 +56,20 @@ def plot_output(x,y1,y2,curves):
fig,ax1 = plt.subplots() fig,ax1 = plt.subplots()
color='tab:red' color='tab:red'
ax1.set_xlabel('$V_{DS} (V)$') ax1.set_xlabel('$V_{DS} (V)$')
if norm_unit == 'mA/mm':
ax1.set_ylabel('$I_{D} (mA/mm)$', color = color) ax1.set_ylabel('$I_{D} (mA/mm)$', color = color)
else:
ax1.set_ylabel('$I_{D} (µA/µm)$', color = color)
for i in range(curves): for i in range(curves):
ax1.plot(x[i],y1[i],color=color) ax1.plot(x[i],y1[i],color=color)
ax1.tick_params(axis ='y', labelcolor = color,which = 'both') ax1.tick_params(axis ='y', labelcolor = color,which = 'both')
ax2 = ax1.twinx() ax2 = ax1.twinx()
color = 'tab:green' color = 'tab:green'
if norm_unit == 'mA/mm':
ax2.set_ylabel('$I_{G} (mA/mm)$', color = color) ax2.set_ylabel('$I_{G} (mA/mm)$', color = color)
else:
ax2.set_ylabel('$I_{G} (µA/µm)$', color = color)
for i in range(curves): for i in range(curves):
ax2.plot(x[i], y2[i], color = color) ax2.plot(x[i], y2[i], color = color)
ax2.tick_params(axis ='y', labelcolor = color,which = 'both') ax2.tick_params(axis ='y', labelcolor = color,which = 'both')
...@@ -65,12 +77,15 @@ def plot_output(x,y1,y2,curves): ...@@ -65,12 +77,15 @@ def plot_output(x,y1,y2,curves):
plt.title("Output Curve",fontweight ="bold") plt.title("Output Curve",fontweight ="bold")
display(fig) display(fig)
def plot_gatediode(x,y): def plot_gatediode(x,y,norm_unit = "mA/mm"):
fig, ax1 = plt.subplots() fig, ax1 = plt.subplots()
color = 'tab:red' color = 'tab:red'
ax1.set_xlabel('$V_{GS} (V)$') ax1.set_xlabel('$V_{GS} (V)$')
if norm_unit == "mA/mm":
ax1.set_ylabel('$I_{G} (mA/mm)$', color = color) ax1.set_ylabel('$I_{G} (mA/mm)$', color = color)
else:
ax1.set_ylabel('$I_{G} (µA/µm)$', color = color)
ax1.set_yscale('log') ax1.set_yscale('log')
y = np.absolute(y) y = np.absolute(y)
......
hp4155/ADU/lib/interface_version_2.py
+ 6
− 9
View file @ 0e92bae4
...@@ -100,8 +100,7 @@ def information_box_new(): ...@@ -100,8 +100,7 @@ def information_box_new():
for i in range(3): for i in range(3):
for j in range(2): for j in range(2):
if i ==2 and j == 1: if i ==2 and j == 1:
pass information_grid[i,j]=widgets.Dropdown(options=['mA/mm','µA/µm'],value='mA/mm',layout=Layout(height=height, width=width))#mind the gap
#information_grid[i,j]=widgets.Dropdown(options=['mA/mm','µA/µm'],value='mA/mm',layout=Layout(height=height, width=width))#mind the gap
elif i == 2 and j == 0: elif i == 2 and j == 0:
information_grid[i,j]=widgets.BoundedFloatText( information_grid[i,j]=widgets.BoundedFloatText(
value=100, value=100,
...@@ -117,14 +116,12 @@ def information_box_new(): ...@@ -117,14 +116,12 @@ def information_box_new():
information_grid[2,0].description = "Device Width(µm):" information_grid[2,0].description = "Device Width(µm):"
information_grid[0,1].description = "Field(XYY):" information_grid[0,1].description = "Field(XYY):"
information_grid[1,1].description = "Device:" information_grid[1,1].description = "Device:"
#information_grid[2,1].description = "Normalization:" information_grid[2,1].description = "Normalization:"
for i in range(3): for i in range(3):
for j in range(2): for j in range(2):
try:
information_grid[i,j].style = style information_grid[i,j].style = style
except:
pass
display(sample_information) display(sample_information)
display(information_grid) display(information_grid)
...@@ -135,8 +132,8 @@ def information_box_new(): ...@@ -135,8 +132,8 @@ def information_box_new():
'sample' : information_grid[1,0], 'sample' : information_grid[1,0],
'field': information_grid[0,1], 'field': information_grid[0,1],
'device':information_grid[1,1], 'device':information_grid[1,1],
'width': information_grid[2,0] 'width': information_grid[2,0],
#'normalization': information_grid[2,1] 'normalization': information_grid[2,1]
} }
return information return information
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