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Commit f7ed075f authored by Alexandros Asonitis's avatar Alexandros Asonitis
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Double Gate Devices Part 10 (Transfer measurement completed but not tested)

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.virtual_documents/hp4155/ADU for double gate devices/test_interface.ipynb → hp4155/ADU for double gate devices/double_gate_ADU_2.py
+ 224
− 0
View file @ f7ed075f
...@@ -5,7 +5,8 @@ sys.path.insert(0, '..') #append parent directory ...@@ -5,7 +5,8 @@ sys.path.insert(0, '..') #append parent directory
from interface import * from interface import *
from help import * from help import *
from measurements import *
import configparser
# Create the grids # Create the grids
#create the information grid #create the information grid
...@@ -75,6 +76,149 @@ add_widgets_to_list(Vg_gatediode,all_widgets) ...@@ -75,6 +76,149 @@ add_widgets_to_list(Vg_gatediode,all_widgets)
line = widgets.HBox([button,import_ini_button,export_ini_button]) line = widgets.HBox([button,import_ini_button,export_ini_button])
display(line,output) display(line,output)
device = hp4155a.HP4155a('GPIB0::17::INSTR')
def on_start_clicked(b):
with output:
clear_output()
#disable all widgets
disable_widgets(all_widgets)
Setup(device) #setup the device
if transfer_check.value == True:
match transfer_gates.value:
case 'VTG' if check_values(Vtg_transfer,'primary') and check_values(Vds_transfer,'secondary'):
pass
case 'VBG' if check_values(Vbg_transfer,'primary') and check_values(Vds_transfer,'secondary'):
pass
case 'BOTH' if check_values(Vbg_transfer,'primary') and check_values(Vds_transfer,'secondary') and check_values(Vtg_transfer,'primary'):
pass
case _ :
information_box("Transfer Measurement skipped due to invalid parameters")
if output_check.value == True:
match output_gates.value:
case 'VTG' if check_values(Vds_output,'primary') and check_values(Vtg_output,'secondary'):
pass
case 'VBG' if check_values(Vds_output,'primary') and check_values(Vbg_output,'secondary'):
pass
case 'BOTH' if check_values(Vds_output,'primary') and check_values(Vtg_output,'secondary') and check_values(Vbg_output,'secondary'):
pass
case _ :
information_box("Output Measurement skipped due to invalid parameters")
if gatediode_check.value == True:
match terminal.value:
case 'VTG' if check_values(Vg_gatediode,'primary'):
pass
case 'VBG' if check_values(Vg_gatediode,'primary'):
pass
case _ :
information_box("Gatediode Measurement skipped due to invalid parameters")
information_box("Measurement finished!")
enable_widgets(all_widgets)
def on_export_ini_clicked(b):
with output:
disable_widgets(all_widgets)
config = configparser.ConfigParser()
default_filename = 'ADU.ini'
file = save_as_ini(default_filename)
with open(file,'w') as configfile:
config.add_section('ALL VALUES ARE IN SI-UNITS!')
config.add_section('IT IS RECOMMENDED TO CHANGE THE INI FILE FROM THE INTERFACE AND DO NOT CHANGE ANY VALUES MANUALLY')
config.add_section('Transfer')
config.set('Transfer','Integration',integration_transfer.value)
config.add_section("Vgs_transfer")
for parameter,widget in Vgs_transfer.items():
config.set('Vgs_transfer',parameter,str(widget.value))
config.add_section('Vds_transfer')
for parameter,widget in Vds_transfer.items():
config.set('Vds_transfer',parameter,str(widget.value))
config.add_section('Output')
config.set('Output','Integration',integration_output.value)
config.add_section("Vgs_output")
for parameter,widget in Vgs_output.items():
config.set('Vgs_output',parameter,str(widget.value))
config.add_section('Vds_output')
for parameter,widget in Vds_output.items():
config.set('Vds_output',parameter,str(widget.value))
config.add_section('Gatediode')
config.set('Gatediode','Integration',integration_gatediode.value)
config.add_section("Vgs_gatediode")
for parameter,widget in Vgs_gatediode.items():
config.set('Vgs_gatediode',parameter,str(widget.value))
config.write(configfile)
enable_widgets(all_widgets)
def on_import_ini_clicked(b):
with output:
disable_widgets(all_widgets)
#load values to the interface
config = configparser.ConfigParser()
file = load_ini()
#print(file)
#read the values from each section
try:
config.read(file)
#transfer curve
integration_transfer.value = config.get('Transfer', "integration")
for parameter,widget in Vgs_transfer.items():
widget.value = config.get('Vgs_transfer',parameter)
for parameter,widget in Vds_transfer.items():
widget.value = config.get('Vds_transfer',parameter)
#output curve
integration_output.value = config.get('Output','integration')
for parameter,widget in Vgs_output.items():
widget.value = config.get('Vgs_output',parameter)
for parameter,widget in Vds_output.items():
widget.value = config.get('Vds_output',parameter)
# gatediode
integration_gatediode.value = config.get('Gatediode','integration')
for parameter,widget in Vgs_gatediode.items():
widget.value = config.get('Vgs_gatediode',parameter)
information_box("all parameters loaded succesfully")
except Exception as error:
if type(error).__name__ =='NoSectionError':
information_box(f"{error}.Explanation: Section(header) [section] does not exist. Create a new ini file or compare it with functional ini files!")
elif type(error).__name__=='NoOptionError':
information_box(f'{error}.Explanation: The variable name before the equal sign is not recognized. Create a new ini file or compare it with functional ini files!')
elif type(error).__name__ == 'TraitError':
information_box(f'{error}.Explanation: Invalid Parameter Setting. Check if you set an invalid value!')
elif type(error).__name__ =="DuplicateOptionError":
information_box(f"{error}. Explaination: The section contains the setted parameter more than once!")
else:
information_box(f"A {type(error).__name__} has occurred. Create A new ini file")
enable_widgets(all_widgets)
button.on_click(on_start_clicked)
#link the new widgets
import_ini_button.on_click(on_import_ini_clicked)
export_ini_button.on_click(on_export_ini_clicked)
hp4155/ADU for double gate devices/lib/help.py
+ 11
− 56
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...@@ -9,7 +9,17 @@ import tkinter.messagebox ...@@ -9,7 +9,17 @@ import tkinter.messagebox
import pandas as pd import pandas as pd
#Get dataframe from results
def get_dataframe_from_results(dict):
for old_key in results.keys():
if old_key[0]=='I':
new_key = old_key+"/A"
else: #V
new_key = old_key + "/V"
dictionary[new_key] = dictionary.pop(old_key)
df = pd.DataFrame(results)
return df
def plot_output(values,curves_var2,curves_var3): def plot_output(values,curves_var2,curves_var3):
x=np.array_split(np.array_split(values["VDS"],curves_var3),curves_var2) x=np.array_split(np.array_split(values["VDS"],curves_var3),curves_var2)
...@@ -152,61 +162,6 @@ def information_box(information): ...@@ -152,61 +162,6 @@ def information_box(information):
tkinter.messagebox.showinfo(message=information) tkinter.messagebox.showinfo(message=information)
root.destroy() root.destroy()
#saving functions : save parameters and dataframe to txt
def create_file(filename):
root = tk.Tk()
root.withdraw()
root.lift() #show window above all other applications
root.attributes("-topmost", True)#window stays above all other applications
file = filedialog.asksaveasfilename(defaultextension=".txt", filetypes=[("Text files","*.txt")],title = "save results path",initialfile =filename)
#check if the file path is correct(.txt)
while file.endswith(".txt") == False:
#open again filedialog with error message box
tk.messagebox.showerror(message='invalid filename!')
file = filedialog.asksaveasfilename(defaultextension=".txt", filetypes=[("Text files","*.txt")],title = "save results path",initialfile =filename)
root.destroy()
return file
def save_to_file(measurement,file,sample,integration,Vgs,Vds=None):
with open(file,'w') as f:
date = str(datetime.today().replace(microsecond=0))
f.write(f"{measurement} at {date}"+"\n")
f.write(f"Series:{sample['processing_number'].value}"+"\n")
f.write(f"Sample:{sample['sample'].value}"+"\n")
f.write(f"Field:{sample['field'].value}"+"\n")
f.write(f"Device:{sample['device'].value}"+"\n")
f.write(f"Device Width/um:{sample['width'].value}"+"\n\n")
f.write('Parameters\n')
f.write(f"VGS from {Vgs['start'].value}V to {Vgs['stop'].value}V with step {Vgs['step'].value}V"+"\n")
if Vds!=None:
f.write(f"VDS from {Vds['start'].value}V to {Vds['stop'].value}V with step {Vds['step'].value}V"+"\n")
#calculate the values
Vgs_comp=Vgs["comp"].value
Vgs_pcomp=Vgs["pcomp"].value
if Vgs_pcomp==0:
f.write(f"Gate Current Compliance/A:{Vgs_comp}"+"\n")
else:
f.write(f"Gate Power Compliance/A:{Vgs_pcomp}"+"\n")
if Vds!=None:
Vds_comp=Vds["comp"].value
Vds_pcomp=Vds["pcomp"].value
if Vds_pcomp ==0:
f.write(f"Drain Current Compliance/A:{Vds_comp}"+"\n")
else:
f.write(f"Drain Power Compliance/A:{Vds_pcomp}"+"\n")
f.write(f'Integration Time:{integration.value}'+"\n")
#all results start from the same line
if Vds == None:
f.write("\n\n")
f.write("\nResults\n")
#normalization factor to is for both normalizations 10**6/width mA/mm = uA/um = 10**(-6)A/um (returned from the tool) #normalization factor to is for both normalizations 10**6/width mA/mm = uA/um = 10**(-6)A/um (returned from the tool)
def normalization_factor(width): def normalization_factor(width):
factor = 10**6/width factor = 10**6/width
......
hp4155/ADU for double gate devices/lib/measurements.py
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...@@ -6,23 +6,9 @@ import sys ...@@ -6,23 +6,9 @@ import sys
sys.path.insert(0, '..') #append parent directory sys.path.insert(0, '..') #append parent directory
import hp4155a import hp4155a
import pandas as pd from help import *
import numpy as np
import matplotlib.pyplot as plt
#Get dataframe from results
def get_dataframe_from_results(dict):
for old_key in results.keys():
if old_key[0]=='I':
new_key = old_key+"/A"
else: #V
new_key = old_key + "/V"
dictionary[new_key] = dictionary.pop(old_key)
df = pd.DataFrame(results)
return df
def Setup(device): def Setup(device):
device.reset() device.reset()
...@@ -32,110 +18,370 @@ def Setup(device): ...@@ -32,110 +18,370 @@ def Setup(device):
#disable all irrelevant units #disable all irrelevant units
device.disable_not_smu() device.disable_not_smu()
def Transfer(config,device): # Transfer only VTG
#set all the smus def Transfer_VTG(VTG,VDS,integration,sample,device):
#smu2 and smu4 stay always the same during the transfer curve smu1 = device.smu_dict()
smu1.update(vname = 'VTG',iname='ITG',mode = 'V',func='VAR1')
smu2 = device.smu_dict() smu2 = device.smu_dict()
smu2.update(vname='VDS',iname='ID',mode = 'V',func = 'VAR2') smu2.update(vname='VDS',iname='ID',mode = 'V',func = 'VAR2')
smu3 = device.smu_dict()
smu3.update(vname = 'VBG',iname='IBG',mode = 'V',func = 'COMM')
smu4 = device.smu_dict() smu4 = device.smu_dict()
smu4.update(vname ='VS',iname = 'IS',mode = 'COMM',func='CONS') smu4.update(vname ='VS',iname = 'IS',mode = 'COMM',func='CONS')
if config['mode'] =='VTG': device.setup_smu(1,smu1)
smu1 = device.smu_dict() device.setup_smu(2,smu2)
smu1.update(vname ='VTG',iname = 'ITG',mode ='V',func='VAR1') device.setup_smu(3,smu3)
device.setup_smu(1,smu4)
var1 = device.var1_dict()
var1.update(
mode=VTG['hyst'].value,
start=VTG['start'].value,
stop=VTG['stop'].value,
step=VTG['step'].value,
comp =VTG['comp'].value,
pcomp=VTG['pcomp'].value
)
device.setup_var1(var1)
points = number_of_points(VDS)
var2=device.var2_dict()
var2.update(
start=VDS['start'].value,
step=VDS['step'].value,
points=points,
comp=VDS['comp'].value,
pcomp=VDS['pcomp'].value
)
device.setup_var2(var2)
device.integration_time(integration)
device.display_mode("LIST")
smu3 = device.smu_dict()
smu3.update(vname='VBG',iname ='IBG',mode='V',func='COMM') #Here VBG is grounded
variables_list =["VTG","ITG","VDS","ID"] variables_list =["VTG","ITG","VDS","ID"]
device.variables_to_save(variables_list)
elif config['mode'] =='VBG': device.single_measurement()
smu1 = device.smu_dict() while device.operation_completed()==False:
smu1.update(vname ='VTG',iname = 'ITG',mode ='V',func='COMM')#Here VTG is grounded pass
smu3 = device.smu_dict() values = dict([(variable,device.return_values(variable)) for variable in variables_list])
smu3.update(vname='VBG',iname ='IBG',mode='V',func='VAR1') df = get_dataframe_from_results(values)
variables_list=["VDS","ID","VBG","IBG"]
else:#Both gates # calculate normalization factor
smu1 = device.smu_dict() norm = normalization_factor(sample["width"].value)
smu1.update(vname ='VTG',iname = 'ITG',mode ='V',func='VAR1')#Here VTG is grounded
# Append the normalized current
df["IDmm/uA/um"]= df["ID/A"]*norm
df["ITGmm/uA/um"]= df["ITG/A"]*norm
# Plot normalized Results VTG-IDmm
fig,ax1= plt.subplots()
x = np.array_split(df["VTG/V"],points)
y = np.array_split(df["IDmm/uA/um"].abs(),points)
labels =np.mean(np.array_spilt(df["VDS/V"],points),axis = 0) # VDS values for labels
ax1.set_xlabel('$V_{TG} (V)$')
ax1.set_ylabel('$I_{D} (uA/um)$')
ax1.set_yscale('log')
for i in range(points):
ax1.plot(x[i],y[i],label = f"VDS:{labels[i]}V")
# Adding title
fig.suptitle('Transfer Curve', fontweight ="bold")
fig.legend()
fig.tight_layout()
display(fig)
# Save the results
default_filename = f"{sample['sample'].value}_{sample['field'].value}_{sample['device'].value}_TOP_GATE_U.txt"
root = tk.Tk()
root.withdraw()
root.lift() #show window above all other applications
root.attributes("-topmost", True)#window stays above all other applications
file = filedialog.asksaveasfilename(defaultextension=".txt", filetypes=[("Text files","*.txt")],title = "save results path",initialfile =default_filename)
#check if the file path is correct(.txt)
while file.endswith(".txt") == False:
#open again filedialog with error message box
tk.messagebox.showerror(message='invalid filename!')
file = filedialog.asksaveasfilename(defaultextension=".txt", filetypes=[("Text files","*.txt")],title = "save results path",initialfile =default_filename)
root.destroy()
with open(file,'w') as f:
date = str(datetime.today().replace(microsecond=0))
f.write(f"Transfer Curve at {date}"+"\n")
f.write(f"Series:{sample['processing_number'].value}"+"\n")
f.write(f"Sample:{sample['sample'].value}"+"\n")
f.write(f"Field:{sample['field'].value}"+"\n")
f.write(f"Device:{sample['device'].value}"+"\n")
f.write(f"Device Width/um:{sample['width'].value}"+"\n")
f.write("Sweeping Gate:VTG"+"\n\n")
f.write('Parameters\n')
f.write(f"VTG from {VTG['start'].value}V to {VTG['stop'].value}V with step {VTG['step'].value}V"+"\n")
f.write(f"VDS from {VDS['start'].value}V to {VDS['stop'].value}V with step {VDS['step'].value}V"+"\n")
if VTG['pcomp'].value==0:
f.write(f"Top Gate Current Compliance/A:{VTG['comp'].value}"+"\n")
else:
f.write(f"Top Gate Power Compliance/A:{VTG['pcomp'].value}"+"\n")
if VDS['pcomp'].value == 0:
f.write(f"Drain Current Compliance/A:{VDS['comp'].value}"+"\n")
else:
f.write(f"Drain Power Compliance/A:{VDS['pcomp'].value}"+"\n")
f.write(f'Integration Time:{integration}'+"\n")
f.write("\nResults\n")
df.to_csv(file,sep=" ",mode='a')
return df
# Transfer only VBG
def transfer_VBG(VBG,VDS,integration,sample,device):
smu1 = device.smu_dict()
smu1.update(vname = 'VTG',iname='ITG',mode = 'V',func='COMM')
smu2 = device.smu_dict()
smu2.update(vname='VDS',iname='ID',mode = 'V',func = 'VAR2')
smu3 = device.smu_dict() smu3 = device.smu_dict()
smu3.update(vname='VBG',iname ='IBG',mode='V',func='VARD') smu3.update(vname = 'VBG',iname='IBG',mode = 'V',func = 'VAR1')
variables_list=["VTG","ITG","VDS","ID","VBG","IBG"] smu4 = device.smu_dict()
smu4.update(vname ='VS',iname = 'IS',mode = 'COMM',func='CONS')
device.setup_smu(1,smu1) device.setup_smu(1,smu1)
device.setup_smu(2,smu2) device.setup_smu(2,smu2)
device.setup_smu(3,smu3) device.setup_smu(3,smu3)
device.setup_smu(4,smu4) device.setup_smu(1,smu4)
var1 = device.var1_dict()
var1.update(
mode=VBG['hyst'].value,
start=VBG['start'].value,
stop=VBG['stop'].value,
step=VBG['step'].value,
comp =VBG['comp'].value,
pcomp=VBG['pcomp'].value
)
device.setup_var1(var1)
device.setup_var1(config["VAR1"]) points = number_of_points(VDS)
device.setup_var2(config["VAR2"])
if config["mode"]=='BOTH'
device.setup_vard(config["VARD"])
device.integration_time(config["integration"]) var2=device.var2_dict()
var2.update(
start=VDS['start'].value,
step=VDS['step'].value,
points=points,
comp=VDS['comp'].value,
pcomp=VDS['pcomp'].value
)
device.setup_var2(var2)
device.integration_time(integration)
device.display_mode("LIST") device.display_mode("LIST")
variables_list =["VBG","IBG","VDS","ID"]
device.variables_to_save(variables_list) device.variables_to_save(variables_list)
device.single_measurement() device.single_measurement()
while device.operation_completed()==False: while device.operation_completed()==False:
pass pass
values = dict([(variable,device.return_values(variable)) for variable in variables_list]) values = dict([(variable,device.return_values(variable)) for variable in variables_list])
df = get_dataframe_from_results(values) df = get_dataframe_from_results(values)
df["IDmm/uA/um"]= df["ID/A"]*config["norm"]
points = config["VAR2"]["Points"]
if 'ITG' in variables_list: # calculate normalization factor
df["ITGmm/uA/um"]= df["ITG/A"]*config["norm"] norm = normalization_factor(sample["width"].value)
if 'IBG' in variables_list: # Append the normalized current
df["IBGmm/uA/um"]= df["IBG/A"]*config["norm"] df["IDmm/uA/um"]= df["ID/A"]*norm
df["IBGmm/uA/um"]= df["IBG/A"]*norm
VDS = np.array_split(df["VDS/V"],points) # Plot normalized Results VTG-IDmm
IDmm = np.array_split(df["IDmm/uA/um"].abs(),points)
fig,ax1= plt.subplots() fig,ax1= plt.subplots()
# Plot results x = np.array_split(df["VBG/V"],points)
if config["mode"]=='VTG': y = np.array_split(df["IDmm/uA/um"].abs(),points)
VTG = np.array_split(df["VTG/V"],points) labels =np.mean(np.array_spilt(df["VDS/V"],points),axis = 0) # VDS values for labels
ax1.set_xlabel('$V_{TG} (V)$')
ax1.set_ylabel('$I_{D} (uA/um)$')
ax1.set_yscale('log')
for i in range(points):
ax1.plot(VTG[i],IDmm[i],label = f"VDS:{np.mean(VDS[i])}V")
elif config["mode"]=='VBG':
VBG = np.array_split(df["VBG/V"],points)
ax1.set_xlabel('$V_{BG} (V)$') ax1.set_xlabel('$V_{BG} (V)$')
ax1.set_ylabel('$I_{D} (uA/um)$') ax1.set_ylabel('$I_{D} (uA/um)$')
ax1.set_yscale('log') ax1.set_yscale('log')
for i in range(points): for i in range(points):
ax1.plot(VBG[i],IDmm[i],label = f"VDS:{np.mean(VDS[i])}V") ax1.plot(x[i],y[i],label = f"VDS:{labels[i]}V")
else: #both
VTG = np.array_split(df["VTG/V"],points) # Adding title
VBG = np.array_split(df["VBG/V"],points) fig.suptitle('Transfer Curve', fontweight ="bold")
fig.legend()
fig.tight_layout()
display(fig)
# Save the results
default_filename = f"{sample['sample'].value}_{sample['field'].value}_{sample['device'].value}_BACK_GATE_U.txt"
root = tk.Tk()
root.withdraw()
root.lift() #show window above all other applications
root.attributes("-topmost", True)#window stays above all other applications
file = filedialog.asksaveasfilename(defaultextension=".txt", filetypes=[("Text files","*.txt")],title = "save results path",initialfile =default_filename)
#check if the file path is correct(.txt)
while file.endswith(".txt") == False:
#open again filedialog with error message box
tk.messagebox.showerror(message='invalid filename!')
file = filedialog.asksaveasfilename(defaultextension=".txt", filetypes=[("Text files","*.txt")],title = "save results path",initialfile =default_filename)
root.destroy()
with open(file,'w') as f:
date = str(datetime.today().replace(microsecond=0))
f.write(f"Transfer Curve at {date}"+"\n")
f.write(f"Series:{sample['processing_number'].value}"+"\n")
f.write(f"Sample:{sample['sample'].value}"+"\n")
f.write(f"Field:{sample['field'].value}"+"\n")
f.write(f"Device:{sample['device'].value}"+"\n")
f.write(f"Device Width/um:{sample['width'].value}"+"\n")
f.write("Sweeping Gate:VBG"+"\n\n")
f.write('Parameters\n')
f.write(f"VBG from {VBG['start'].value}V to {VBG['stop'].value}V with step {VTG['step'].value}V"+"\n")
f.write(f"VDS from {VDS['start'].value}V to {VDS['stop'].value}V with step {VDS['step'].value}V"+"\n")
#calculate the values
if VBG['pcomp'].value==0:
f.write(f"Back Gate Current Compliance/A:{VBG['comp'].value}"+"\n")
else:
f.write(f"Back Gate Power Compliance/A:{VBG['pcomp'].value}"+"\n")
if VDS['pcomp'].value == 0:
f.write(f"Drain Current Compliance/A:{VDS['comp'].value}"+"\n")
else:
f.write(f"Drain Power Compliance/A:{VDS['pcomp'].value}"+"\n")
f.write(f'Integration Time:{integration}'+"\n")
f.write("\nResults\n")
df.to_csv(file,sep=" ",mode='a')
return df
def Transfer_BOTH(VTG,VBG,VDS,integration,sample,device):
smu1 = device.smu_dict()
smu1.update(vname = 'VTG',iname='ITG',mode = 'V',func='VAR1')
smu2 = device.smu_dict()
smu2.update(vname='VDS',iname='ID',mode = 'V',func = 'VAR2')
smu3 = device.smu_dict()
smu3.update(vname = 'VBG',iname='IBG',mode = 'V',func = 'VARD')
smu4 = device.smu_dict()
smu4.update(vname ='VS',iname = 'IS',mode = 'COMM',func='CONS')
device.setup_smu(1,smu1)
device.setup_smu(2,smu2)
device.setup_smu(3,smu3)
device.setup_smu(1,smu4)
var1 = device.var1_dict()
var1.update(
mode=VTG['hyst'].value,
start=VTG['start'].value,
stop=VTG['stop'].value,
step=VTG['step'].value,
comp =VTG['comp'].value,
pcomp=VTG['pcomp'].value
)
device.setup_var1(var1)
points = number_of_points(VDS)
var2=device.var2_dict()
var2.update(
start=VDS['start'].value,
step=VDS['step'].value,
points=points,
comp=VDS['comp'].value,
pcomp=VDS['pcomp'].value
)
device.setup_var2(var2)
#calculate parameters for VARD
ratio,offset = calculate_line(VTG,VBG)
# update VBG step
VBG["step"].value = ratio * VBG["step"].value
vard = device.vard_dict()
vard.update(
offset = offset,
ratio = ratio,
comp = VBG["comp"].value,
pcomp = VBG["pcomp"].value
)
device.setup_vard(vard)
device.integration_time(integration)
device.display_mode("LIST")
variables_list =["VBG","IBG","VDS","ID","VTG","ITG"]
device.variables_to_save(variables_list)
device.single_measurement()
while device.operation_completed()==False:
pass
values = dict([(variable,device.return_values(variable)) for variable in variables_list])
df = get_dataframe_from_results(values)
# calculate normalization factor
norm = normalization_factor(sample["width"].value)
# Append the normalized current
df["IDmm/uA/um"]= df["ID/A"]*norm
df["IBGmm/uA/um"]= df["IBG/A"]*norm
df["ITGmm/uA/um"]= df['ITG']*norm
# Plot normalized Results VTG-IDmm
fig,ax1= plt.subplots()
x1 = np.array_split(df["VBG/V"],points)
y = np.array_split(df["IDmm/uA/um"].abs(),points)
x2 = np.array_spilt(df["VTG/V"],points)
labels =np.mean(np.array_spilt(df["VDS/V"],points),axis = 0) # VDS values for labels
ax1.set_xlabel('$V_{BG} (V)$') ax1.set_xlabel('$V_{BG} (V)$')
ax1.set_ylabel('$I_{D} (uA/um)$') ax1.set_ylabel('$I_{D} (uA/um)$')
ax1.set_yscale('log') ax1.set_yscale('log')
for i in range(points): for i in range(points):
ax1.plot(VBG[i],IDmm[i],label = f"VDS:{np.mean(VDS[i])}V") ax1.plot(x1[i],y[i],label = f"VDS:{labels[i]}V")
#set opposite x axis # add opposite x axis
ax2 = ax1.twinx() ax2 = ax1.twiny()
ax2.set_xlabel('$V_{TG} (V)$') ax2.set_xlabel('$V_{TG} (V)$')
for i in range(points): for i in range(points):
ax2.plot(VTG[i],IDmm[i]) ax2.plot(x2[i],y[i])
# Adding title # Adding title
fig.suptitle('Transfer Curve', fontweight ="bold") fig.suptitle('Transfer Curve', fontweight ="bold")
...@@ -143,9 +389,63 @@ def Transfer(config,device): ...@@ -143,9 +389,63 @@ def Transfer(config,device):
fig.tight_layout() fig.tight_layout()
display(fig) display(fig)
return df
# Save the results
default_filename = f"{sample['sample'].value}_{sample['field'].value}_{sample['device'].value}_BOTH_GATES_U.txt"
root = tk.Tk()
root.withdraw()
root.lift() #show window above all other applications
root.attributes("-topmost", True)#window stays above all other applications
file = filedialog.asksaveasfilename(defaultextension=".txt", filetypes=[("Text files","*.txt")],title = "save results path",initialfile =default_filename)
#check if the file path is correct(.txt)
while file.endswith(".txt") == False:
#open again filedialog with error message box
tk.messagebox.showerror(message='invalid filename!')
file = filedialog.asksaveasfilename(defaultextension=".txt", filetypes=[("Text files","*.txt")],title = "save results path",initialfile =default_filename)
root.destroy()
with open(file,'w') as f:
date = str(datetime.today().replace(microsecond=0))
f.write(f"Transfer Curve at {date}"+"\n")
f.write(f"Series:{sample['processing_number'].value}"+"\n")
f.write(f"Sample:{sample['sample'].value}"+"\n")
f.write(f"Field:{sample['field'].value}"+"\n")
f.write(f"Device:{sample['device'].value}"+"\n")
f.write(f"Device Width/um:{sample['width'].value}"+"\n")
f.write("Sweeping Gates:VBG,VTG"+"\n\n")
f.write('Parameters\n')
f.write(f"VBG from {VBG['start'].value}V to {VBG['stop'].value}V with step {VBG['step'].value}V"+"\n")
f.write(f"VTG from {VTG['start'].value}V to {VTG['stop'].value}V with step {VTG['step'].value}V"+"\n")
f.write(f"VDS from {VDS['start'].value}V to {VDS['stop'].value}V with step {VDS['step'].value}V"+"\n")
#calculate the values
if VBG['pcomp'].value==0:
f.write(f"Back Gate Current Compliance/A:{VBG['comp'].value}"+"\n")
else:
f.write(f"Back Gate Power Compliance/A:{VBG['pcomp'].value}"+"\n")
if VTG['pcomp'].value==0:
f.write(f"Top Gate Current Compliance/A:{VTG['comp'].value}"+"\n")
else:
f.write(f"Top Gate Power Compliance/A:{VTG['pcomp'].value}"+"\n")
if VDS['pcomp'].value == 0:
f.write(f"Drain Current Compliance/A:{VDS['comp'].value}"+"\n")
else:
f.write(f"Drain Power Compliance/A:{VDS['pcomp'].value}"+"\n")
f.write(f'Integration Time:{integration}'+"\n")
f.write("\nResults\n")
df.to_csv(file,sep=" ",mode='a')
return df
def Output(config,device): def Output(config,device):
......
hp4155/ADU for double gate devices/test_interface.ipynb
+ 5
− 5
View file @ f7ed075f
...@@ -25,7 +25,7 @@ ...@@ -25,7 +25,7 @@
{ {
"data": { "data": {
"application/vnd.jupyter.widget-view+json": { "application/vnd.jupyter.widget-view+json": {
"model_id": "bd255b2a4fa44ffc81415a0fc7b31db5", "model_id": "99771e380b9e41e1bfb264445c9638b5",
"version_major": 2, "version_major": 2,
"version_minor": 0 "version_minor": 0
}, },
...@@ -39,7 +39,7 @@ ...@@ -39,7 +39,7 @@
{ {
"data": { "data": {
"application/vnd.jupyter.widget-view+json": { "application/vnd.jupyter.widget-view+json": {
"model_id": "255f18a4397845dcac07e5b2f7f05012", "model_id": "bf6c9f74778f4a7d81d2e50e50f29646",
"version_major": 2, "version_major": 2,
"version_minor": 0 "version_minor": 0
}, },
...@@ -53,7 +53,7 @@ ...@@ -53,7 +53,7 @@
{ {
"data": { "data": {
"application/vnd.jupyter.widget-view+json": { "application/vnd.jupyter.widget-view+json": {
"model_id": "4f1eaa6498994c99b1f9143b0d3ac60a", "model_id": "e309adbb7d1d4f368b10a2007a9b2787",
"version_major": 2, "version_major": 2,
"version_minor": 0 "version_minor": 0
}, },
...@@ -67,7 +67,7 @@ ...@@ -67,7 +67,7 @@
{ {
"data": { "data": {
"application/vnd.jupyter.widget-view+json": { "application/vnd.jupyter.widget-view+json": {
"model_id": "5646c807fb214670ab6322a989f0c83f", "model_id": "529852ccf3c342b7909d07c05e4094df",
"version_major": 2, "version_major": 2,
"version_minor": 0 "version_minor": 0
}, },
...@@ -81,7 +81,7 @@ ...@@ -81,7 +81,7 @@
{ {
"data": { "data": {
"application/vnd.jupyter.widget-view+json": { "application/vnd.jupyter.widget-view+json": {
"model_id": "4f87449e353e4236943096bceea9c2fe", "model_id": "b88a1fddf7d84747b34b69c7c54b6004",
"version_major": 2, "version_major": 2,
"version_minor": 0 "version_minor": 0
}, },
......
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