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measurement_script.py
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measurement_script.py
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import labrad
import numpy as np
from numpy import linalg as LA
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
from heapq import heappush, nlargest
import scipy.io as sio
from matplotlib.ticker import ScalarFormatter
import datetime
import time
import math
import os
import inspect
import sys
from tqdm import tqdm
import slackweb
import requests
meas_details_path = "C://Users//Lab//Young Lab Dropbox//Bruefors//Data//vault//Yu_Bruefors//meas_details//"
sns.set(
"talk",
"whitegrid",
"dark",
font_scale=1.2,
rc={"lines.linewidth": 2, "grid.linestyle": "--"},
)
cxn = labrad.connect()
cxn_2 = labrad.connect()
cxn_3 = labrad.connect()
tcdel = 3.0
ramp_step = 1000
ramp_delay = 2500
adc_channel_0 = 4
adc_channel_1 = 5
adc_channel_2 = 6
adc_channel_3 = 7
# Initialization
DV = cxn.data_vault
sim = cxn.sim900
sim.select_device()
LA1 = cxn.sr860 # source
LA1.select_device("sarachick GPIB Bus - GPIB0::6::INSTR")
LA2 = cxn_2.sr860
LA2.select_device("sarachick GPIB Bus - GPIB0::5::INSTR")
LA3 = cxn_3.sr860
LA3.select_device("sarachick GPIB Bus - GPIB0::4::INSTR")
MGz = cxn.ami_430
MGz.select_device("sarachick_serial_server - COM6")
MGy = cxn_2.ami_430
MGy.select_device("sarachick_serial_server - COM7")
MGx = cxn_3.ami_430
MGx.select_device("sarachick_serial_server - COM8")
LAs = [LA1, LA2, LA3]
time_constant_1 = LA1.time_constant()
sensitivity_1 = LA1.sensitivity()
time_constant_2 = LA2.time_constant()
sensitivity_2 = LA2.sensitivity()
time_constant_3 = LA3.time_constant()
sensitivity_3 = LA3.sensitivity()
wait_time = 1e6 * tcdel * time_constant_1
##########################################################################################
# Euler ZYX convention: rotate first Z, then Y, lastly X
# Given magnetic vectors a=(Bx,By,Bz) and b=(Bx2,By2,Bz2), output ZYX rotation angles to transform the normalized a to b
def find_vt_vb(p0, n0, c_delta): # input p0, n0, return vt, vb
return 0.5 * (n0 + p0) / (1.0 + c_delta), 0.5 * (n0 - p0) / (1.0 - c_delta)
def calc_rotation_matrix(a1, a2, a3, b1, b2, b3):
norm1 = np.sqrt(a1 ** 2 + a2 ** 2 + a3 ** 2)
norm2 = np.sqrt(b1 ** 2 + b2 ** 2 + b3 ** 2)
a1, a2, a3 = a1 / norm1, a2 / norm1, a3 / norm1
b1, b2, b3 = b1 / norm2, b2 / norm2, b3 / norm2
v1 = a2 * b3 - a3 * b2
v2 = a3 * b1 - a1 * b3
v3 = a1 * b2 - a2 * b1
v = np.mat([v1, v2, v3])
s = np.sqrt(v[0, 0] ** 2 + v[0, 1] ** 2 + v[0, 2] ** 2)
c = a1 * b1 + a2 * b2 + a3 * b3
vx = np.mat([[0, -v3, v2], [v3, 0, -v1], [-v2, v1, 0]])
I = np.mat([[1, 0, 0], [0, 1, 0], [0, 0, 1]])
return I + vx + vx * vx / (1 + c)
def rotate_vector(R, x, y, z):
v = np.mat([x, y, z])
new = np.array(R * v.T)
return new[0], new[1], new[2]
def get_meas_parameters(offset=None):
"""
Get a dictionary of paramteres of the function.
Credit : https://tottoto.net/python3-get-args-of-current-function/
Parameters
----------
offset : int
default value is None
Return
------
dictionary
The dictionary includes pairs of paremeter's name and the corresponding values.
"""
parent_frame = inspect.currentframe().f_back
info = inspect.getargvalues(parent_frame)
return {key: info.locals[key] for key in info.args[offset:]}
def set_lockin_parameters(amplitude=0.01, frequency=17.777):
"""
Initialize the lockin amp for voltage source.
Parameters
----------
amplitude : int or float
The ampitude value of the lockin.
frequency : int or float
Returns
-------
None
"""
LA1.sine_out_amplitude(amplitude)
LA1.frequency(frequency)
time.sleep(1)
print "\r", "parameters set done",
def create_file(DV, file_path, scan_name, scan_var, meas_var):
"""
Create a measurment file.
Parameters
----------
DV : object
file_path : string
scan_name : string
scan_var : list or tuple
meas_var : list or tuple
Returns
-------
int
The file number
"""
DV.cd("")
try:
DV.mkdir(file_path)
DV.cd(file_path)
except Exception:
DV.cd(file_path)
file_name = file_path + "_" + scan_name
dv_file = DV.new(file_name, scan_var, meas_var)
print "\r", "new file created, file numer: ", int(dv_file[1][0:5])
return int(dv_file[1][0:5])
def write_meas_parameters(
DV, file_path, file_number, date, scan_name, meas_parameters, amplitude, sensitivity
):
if not os.path.isfile(meas_details_path + file_path + ".txt"):
with open(meas_details_path + file_path + ".txt", "w+") as f:
pass
with open(meas_details_path + file_path + ".txt", "a") as f:
f.write("========" + "\n")
f.write(
"file_number: "
+ str(file_number)
+ "\n"
+ "date: "
+ str(date)
+ "\n"
+ "measurement:"
+ str(scan_name)
+ "\n"
)
for k, v in sorted(meas_parameters.items()):
print (k, v)
f.write(str(k) + ": " + str(v) + "\n")
DV.add_parameter(str(k), str(v))
for i, LA in enumerate(LAs):
tc = LA.time_constant()
sens = LA.sensitivity()
f.write("time_constant_" + str(i) + " : " + str(tc) + "\n")
f.write("sensitivity_" + str(i) + " : " + str(sens) + "\n")
DV.add_parameter("time_constant_" + str(i), tc)
DV.add_parameter("sensitivity_" + str(i), sens)
def write_meas_parameters_end(date1, date2, file_path):
with open(meas_details_path + file_path + ".txt", "a") as f:
f.write(
"end date: "
+ str(date2)
+ "\n"
+ "total time: "
+ str(date2 - date1)
+ "\n"
)
def get_variables():
variables = [DV.variables()[0][i][0] for i in range(len(DV.variables()[0]))] + [
DV.variables()[1][i][0] for i in range(len(DV.variables()[1]))
]
return variables
def plot_fig(
file_name,
file_num,
data,
cl,
xsize,
ysize,
xaxis,
yaxis,
xscale,
yscale,
xname,
yname,
logy,
var,
unit,
):
df = pd.DataFrame(data.T, columns=cl)
fig = plt.figure()
ax1 = fig.add_subplot(311)
ax2 = fig.add_subplot(312)
ax3 = fig.add_subplot(313)
df[yaxis[1]] = abs(df[yaxis[1]])
df.plot(x=xaxis, y=yaxis[0], logy=logy[0], ax=ax1, figsize=(xsize, ysize))
df.plot(x=xaxis, y=yaxis[1], logy=logy[1], ax=ax2, figsize=(xsize, ysize))
df.plot(x=xaxis, y=yaxis[2], logy=logy[2], ax=ax3, figsize=(xsize, ysize))
ax1.set_xlabel(xname)
ax1.set_ylabel(yname[0])
ax2.set_xlabel(xname)
ax2.set_ylabel(yname[1])
ax3.set_xlabel(xname)
ax3.set_ylabel(yname[2])
ax1.set_xlim(xscale[0], xscale[1])
ax2.set_xlim(xscale[0], xscale[1])
ax3.set_xlim(xscale[0], xscale[1])
ax1.set_ylim(yscale[0], yscale[1])
ax2.set_ylim(yscale[2], yscale[3])
ax3.set_ylim(yscale[4], yscale[5])
ax1.legend(
bbox_to_anchor=(0.85, 1.11), loc="upper left", borderaxespad=0, fontsize=18
)
ax2.legend(
bbox_to_anchor=(0.85, 1.11), loc="upper left", borderaxespad=0, fontsize=18
)
ax3.legend(
bbox_to_anchor=(0.85, 1.11), loc="upper left", borderaxespad=0, fontsize=18
)
ax1.legend().set_visible(False)
ax2.legend().set_visible(False)
ax3.legend().set_visible(False)
plt.rcParams["font.family"] = "sans-serif"
plt.rcParams["mathtext.fontset"] = "stixsans"
fig.patch.set_facecolor("white")
fig.tight_layout()
# plt.text(0.01, 0.99, horizontalalignment='left', verticalalignment='top', family='monospace', transform=ax1.transAxes, fontsize=18)
print "\r", "searching folder...",
flag = False
try:
os.mkdir(save_path + file_name)
except Exception:
pass
print "\r", "saving...",
try:
plt.savefig(
save_path
+ file_name
+ "//"
+ file_name
+ "_"
+ str(file_num)
+ " at "
+ str(var, 4)
+ " "
+ unit
+ ".png"
)
flag = True
except Exception:
flag = False
pass
def slack_post(file_path, file_number, date, scan_name, sweep_values):
print "\r", "slack plotting...",
try:
files = {
"file": open(
save_path
+ file_name
+ "//"
+ file_name
+ "_"
+ str(file_num)
+ " at "
+ str(var, 4)
+ " "
+ unit
+ ".png",
"rb",
)
}
param = {
"token": TOKEN,
"channels": CHANNEL,
"title": file_name
+ "_"
+ str(file_num)
+ " at "
+ str(var, 4)
+ " "
+ unit,
}
requests.post(
url="https://slack.com/api/files.upload", params=param, files=files
)
except Exception:
print "\r", "slack plotting failed",
pass
def sim_sweep(out_ch, vstart, vend, points, delay):
vs = [[0] * points]
vs = np.linspace(vstart, vend, num=points)
d_tmp = None
p1, p2, p3 = 0, 0, 0
for jj in range(points):
sim.dc_set_voltage(out_ch, float("{0:.4f}".format(vs[jj])))
# time.sleep(delay*0.9)
try:
# line_data = [DAC.read_voltage(k) for k in in_dac_ch]
p1, p2, p3 = LA1.x(), 1.0, 1.0
line_data = [p1, p2, p3]
except:
line_data = [p1, p2, p3]
if d_tmp is not None:
d_tmp = np.vstack([d_tmp, line_data])
else:
d_tmp = line_data
return d_tmp.T
def sim_dual_sweep(
out_ch_bottom,
out_ch_top,
vbg_start,
vbg_end,
vtg_start,
vtg_end,
points_vbg,
points_vtg,
delay,
):
vbg_s = np.linspace(vbg_start, vbg_end, num=points_vbg)
vtg_s = np.linspace(vtg_start, vtg_end, num=points_vtg)
d_tmp = None
p1, p2, p3 = 0, 0, 0
for jj in range(points_vbg):
sim.dc_set_voltage(out_ch_bottom, float("{0:.4f}".format(vbg_s[jj])))
sim.dc_set_voltage(out_ch_top, float("{0:.4f}".format(vtg_s[jj])))
time.sleep(delay * 0.7)
try:
# line_data = [DAC.read_voltage(k) for k in in_dac_ch]
p1, p2, p3 = LA1.x(), LA2.x(), 1.0
line_data = [p1, p2, p3]
except:
line_data = [p1, p2, p3]
if d_tmp is not None:
d_tmp = np.vstack([d_tmp, line_data])
else:
d_tmp = line_data
return d_tmp.T
def set_Vg_nodac(voltage_source, voltage_channel, start_v, end_v):
if voltage_source == "DAC":
DAC.buffer_ramp(
[voltage_channel], [4, 5, 6, 7], [start_v], [end_v], 100, 500, 1
)
time.sleep(1)
print "\r", "Voltage reached: ", end_v, " V",
elif voltage_source == "SIM":
sim_sweep(voltage_channel, start_v, end_v, 100, 0.02)
time.sleep(1)
print "\r", "Voltage reached: ", end_v, " V",
def set_Vg_dac(voltage_source, voltage_channel, start_v, end_v):
if voltage_source == "DAC":
DAC.buffer_ramp(
[voltage_channel],
[adc_channel_0, adc_channel_1, adc_channel_2, adc_channel_3],
[start_v],
[end_v],
100,
500,
1,
)
time.sleep(1)
print "\r", "Voltage reached: ", end_v, " V",
elif voltage_source == "SIM":
sim_sweep2(
voltage_channel,
[adc_channel_0, adc_channel_1, adc_channel_2, adc_channel_3],
start_v,
end_v,
100,
500 / 1e6,
)
time.sleep(1)
print "\r", "Voltage reached: ", end_v, " V",
def scan_Vg(
voltage_source,
meas_voltage_gain,
voltage_channel,
start_v,
end_v,
number_of_vg_points,
wait_time,
):
vg = np.linspace(start_v, end_v, number_of_vg_points)
print "\r", "Scanning Vg: Start_V:", start_v, " V; End_V:", end_v, " V",
if voltage_source == "DAC":
res = DAC.buffer_ramp(
[voltage_channel],
[adc_channel_0, adc_channel_1, adc_channel_2, adc_channel_3],
[start_v],
[end_v],
number_of_vg_points,
wait_time,
1,
)
aux_1, aux_2, aux_3, _ = res
res_1 = aux_1 * sensitivity_1 / 10.0
res_2 = aux_2 * sensitivity_2 / 10.0 / meas_voltage_gain
res_3 = aux_3 * sensitivity_3 / 10.0 / meas_voltage_gain
# Calculate resistance
res_5 = np.float64(1.0) * res_2 / res_1
res_6 = np.float64(1.0) * res_3 / res_1
# Calculate conductance
res_7 = np.float64(1.0) / res_5
res_8 = np.float64(1.0) / res_6
return np.array([res_1, res_2, res_3, res_5, res_6, res_7, res_8])
elif voltage_source == "SIM":
res = sim_sweep(
voltage_channel, start_v, end_v, number_of_vg_points, wait_time / 1e6
)
# res = sim_sweep2(dc_channel_0, [adc_channel_0, adc_channel_1,adc_channel_2,adc_channel_3], start_v, end_v, number_of_vg_points, wait_time/1e6)
res_1, res_2, res_3 = res
# Calculate resistance
res_5 = np.float64(1.0) * res_2 / res_1 / meas_voltage_gain
res_6 = np.float64(1.0) * res_3 / res_1 / meas_voltage_gain
# Calculate conductance
res_7 = np.float64(1.0) / res_5
res_8 = np.float64(1.0) / res_6
return np.array([res_1, res_2, res_3, res_5, res_6, res_7, res_8])
def scan_Vg_one(
voltage_source,
meas_voltage_gain,
amplitude,
voltage_channel,
start_v,
end_v,
number_of_vg_points,
wait_time,
):
vg = np.linspace(start_v, end_v, number_of_vg_points)
print "\r", "Scanning Vg: Start_V:", start_v, " V; End_V:", end_v, " V",
if voltage_source == "DAC":
res = DAC.buffer_ramp(
[voltage_channel],
[adc_channel_0, adc_channel_1, adc_channel_2, adc_channel_3],
[start_v],
[end_v],
number_of_vg_points,
wait_time,
1,
)
aux_1, aux_2, aux_3, _ = res
res_1 = aux_1 * sensitivity_1 / 10.0
res_2 = aux_2 * sensitivity_2 / 10.0 / meas_voltage_gain
res_3 = aux_3 * sensitivity_3 / 10.0 / meas_voltage_gain
# Calculate resistance
res_5 = np.float64(1.0) * res_2 / res_1
res_6 = np.float64(1.0) * res_3 / res_1
# Calculate conductance
res_7 = np.float64(1.0) / res_5
res_8 = np.float64(1.0) / res_6
return np.array([res_1, res_2, res_3, res_5, res_6, res_7, res_8])
elif voltage_source == "SIM":
res = sim_sweep(
voltage_channel, start_v, end_v, number_of_vg_points, wait_time / 1e6
)
# res = sim_sweep2(dc_channel_0, [adc_channel_0, adc_channel_1,adc_channel_2,adc_channel_3], start_v, end_v, number_of_vg_points, wait_time/1e6)
res_1, res_2, res_3 = res
current = amplitude / 1.0e8
# Calculate resistance
res_5 = np.float64(1.0) * res_1 / current / meas_voltage_gain
res_6 = np.float64(1.0) * res_3 / res_1 / meas_voltage_gain
# Calculate conductance
res_7 = np.float64(1.0) / res_5
res_8 = np.float64(1.0) / res_6
return np.array([res_1, res_2, res_3, res_5, res_6, res_7, res_8])
def scan_Vg_dual(
voltage_source,
meas_voltage_gain,
out_ch_bottom,
out_ch_top,
vbg_start,
vbg_end,
vtg_start,
vtg_end,
points_vbg,
points_vtg,
wait_time,
):
if voltage_source == "DAC":
res = DAC.buffer_ramp(
[voltage_channel],
[adc_channel_0, adc_channel_1, adc_channel_2, adc_channel_3],
[start_v],
[end_v],
number_of_vg_points,
wait_time,
1,
)
aux_1, aux_2, aux_3, _ = res
res_1 = aux_1 * sensitivity_1 / 10.0
res_2 = aux_2 * sensitivity_2 / 10.0 / meas_voltage_gain
res_3 = aux_3 * sensitivity_3 / 10.0 / meas_voltage_gain
# Calculate resistance
res_5 = np.float64(1.0) * res_2 / res_1
res_6 = np.float64(1.0) * res_3 / res_1
# Calculate conductance
res_7 = np.float64(1.0) / res_5
res_8 = np.float64(1.0) / res_6
return np.array([res_1, res_2, res_3, res_5, res_6, res_7, res_8])
elif voltage_source == "SIM":
res = sim_dual_sweep(
out_ch_bottom,
out_ch_top,
vbg_start,
vbg_end,
vtg_start,
vtg_end,
points_vbg,
points_vtg,
wait_time / 1e6,
)
# res = sim_sweep2(dc_channel_0, [adc_channel_0, adc_channel_1,adc_channel_2,adc_channel_3], start_v, end_v, number_of_vg_points, wait_time/1e6)
res_1, res_2, res_3 = res
# Calculate resistance
res_5 = np.float64(1.0) * res_2 / res_1 / meas_voltage_gain
res_6 = np.float64(1.0) * res_3 / res_1 / meas_voltage_gain
# Calculate conductance
res_7 = np.float64(1.0) / res_5
res_8 = np.float64(1.0) / res_6
return np.array([res_1, res_2, res_3, res_5, res_6, res_7, res_8])
def scan_Vg_dual_one(
voltage_source,
meas_voltage_gain,
amplitude,
out_ch_bottom,
out_ch_top,
vbg_start,
vbg_end,
vtg_start,
vtg_end,
points_vbg,
points_vtg,
wait_time,
):
if voltage_source == "DAC":
res = DAC.buffer_ramp(
[voltage_channel],
[adc_channel_0, adc_channel_1, adc_channel_2, adc_channel_3],
[start_v],
[end_v],
number_of_vg_points,
wait_time,
1,
)
aux_1, aux_2, aux_3, _ = res
res_2 = aux_2 * sensitivity_2 / 10.0 / meas_voltage_gain
res_3 = aux_3 * sensitivity_3 / 10.0 / meas_voltage_gain
# Calculate resistance
res_5 = np.float64(1.0) * res_2 / res_1
res_6 = np.float64(1.0) * res_3 / res_1
# Calculate conductance
res_7 = np.float64(1.0) / res_5
res_8 = np.float64(1.0) / res_6
return np.array([res_1, res_2, res_3, res_5, res_6, res_7, res_8])
elif voltage_source == "SIM":
res = sim_dual_sweep(
out_ch_bottom,
out_ch_top,
vbg_start,
vbg_end,
vtg_start,
vtg_end,
points_vbg,
points_vtg,
wait_time / 1e6,
)
# res = sim_sweep2(dc_channel_0, [adc_channel_0, adc_channel_1,adc_channel_2,adc_channel_3], start_v, end_v, number_of_vg_points, wait_time/1e6)
res_1, res_2, res_3 = res
current = amplitude / 1.0e8
# Calculate resistance
res_5 = np.float64(1.0) * res_1 / current / meas_voltage_gain
res_6 = np.float64(1.0) * res_2 / current / meas_voltage_gain
# Calculate conductance
res_7 = np.float64(1.0) / res_5
res_8 = np.float64(1.0) / res_6
return np.array([res_1, res_2, res_3, res_5, res_6, res_7, res_8])
def set_Bz(MGz, target_bz):
# MGz.conf_ramp_rate_field(1, 0.0406, 9.0)
MGz.conf_field_targ(float(target_bz))
MGz.ramp()
print "\r", "Ramping magnetic field to ", target_bz, " T",
flag = True
while flag:
try:
actual_field = float(MGz.get_field_mag())
flag = False
except:
flag = True
while abs(float(target_bz) - float(MGz.get_field_mag())) > 1.0e-4:
continue
time.sleep(1)
print "\r", "Magnetic field reached: ", target_bz, " T",
return float(MGz.get_field_mag())
def set_BxByBz(MGx, MGy, MGz, target_bx, target_by, target_bz):
# MGz.conf_ramp_rate_field(1, 0.0606, 9.0)
# MG.conf_ramp_rate_field(1, 0.0806, 12.0)
time.sleep(0.2)
MGz.conf_field_targ(float(target_bz))
MGz.ramp()
time.sleep(0.2)
MGy.conf_field_targ(float(target_by))
MGy.ramp()
time.sleep(0.2)
MGx.conf_field_targ(float(target_bx))
MGx.ramp()
time.sleep(0.2)
print "\r", "Ramping magnetic field (Bx, By, Bz): ", target_bx, target_by, target_bz, " T",
flag = True
while flag:
try:
actual_fieldz = float(MGz.get_field_mag())
time.sleep(0.2)
actual_fieldy = float(MGy.get_field_mag())
time.sleep(0.2)
actual_fieldx = float(MGx.get_field_mag())
time.sleep(0.2)
flag = False
except:
flag = True
while (
abs(float(target_bz) - actual_fieldz) > 1.0e-4
or abs(float(target_by) - actual_fieldy) > 1.0e-4
or abs(float(target_bx) - actual_fieldx) > 1.0e-4
):
actual_fieldz = float(MGz.get_field_mag())
time.sleep(0.2)
actual_fieldy = float(MGy.get_field_mag())
time.sleep(0.2)
actual_fieldx = float(MGx.get_field_mag())
time.sleep(0.2)
print "\r", "current magnetic field (Bx, By, Bz): ", actual_fieldx, actual_fieldy, actual_fieldz, " T", "target magnetic field: (Bx, By, Bz): ", target_bx, target_by, target_bz, " T",
time.sleep(0.5)
print "\r", "Magnetic field reached: (Bx, By, Bz): ", target_bx, target_by, target_bz, " T",
return (
float(MGx.get_field_mag()),
float(MGy.get_field_mag()),
float(MGz.get_field_mag()),
)
def sweep_Bz(b_start, b_end, points):
bs = np.linspace(b_start, b_end, num=points)
d_tmp = None
p1, p2, p3 = 0, 0, 0
set_Bz(MGz, b_start)
# time.sleep(180)
for i in range(points):
set_Bz(MGz, bs[i])
# time.sleep(delay*0.9)
try:
# line_data = [DAC.read_voltage(k) for k in in_dac_ch]
p1, p2, p3 = LA1.x(), 1.0, 1.0
line_data = [p1, p2, p3]
except:
line_data = [p1, p2, p3]
if d_tmp is not None:
d_tmp = np.vstack([d_tmp, line_data])
else:
d_tmp = line_data
return d_tmp.T
def scan_B_dual_one(meas_voltage_gain, amplitude, b_start, b_end, points_b):
res = sweep_Bz(b_start=b_start, b_end=b_end, points=points_b)
res_1, res_2, res_3 = res
current = amplitude / 1.0e8
# Calculate resistance
res_5 = np.float64(1.0) * res_1 / current / meas_voltage_gain
res_6 = np.float64(1.0) * res_3 / res_1 / meas_voltage_gain
# Calculate conductance
res_7 = np.float64(1.0) / res_5
res_8 = np.float64(1.0) / res_6
return np.array([res_1, res_2, res_3, res_5, res_6, res_7, res_8])
def read_T():
reconnected = False
while not reconnected:
try:
time.sleep(1.0)
print "\r", "Connecting to temperature server ..."
# cxn4 = labrad.connect('evaporator-PC', 7682, password='pass')
cxn4 = labrad.connect()
tc = cxn4.lakeshore_372
tc.select_device()
Tmc, T_p = tc.mc(), tc.probe()
print "\r", "MXC: ", Tmc, "probe: ", T_p
time.sleep(1.0)
print "\r", "Reconnected successfully",
return Tmc, T_p
except Exception as e:
print "\r", str(e),
print "\r", "Could not reconnect to temperature server",
time.sleep(2.0)
def set_T(setpoint):
setpoint_updated = False
while not setpoint_updated:
try:
expression = "SETP 0, %03.2E\n" % setpoint
# print '\r', expression
tc.write(expression) # set the power for the current zone
Tmc, T_p = tc.mc(), tc.probe()
print "\r", "MXC: ", Tmc, "probe: ", T_p,
if setpoint < 1.0:
temperature_error = min(setpoint * 0.03, 0.01)
elif setpoint > 6.5 and setpoint < 10.0:
temperature_error = 0.3
elif setpoint > 10.0:
temperature_error = 1.0
else:
temperature_error = 0.1
while abs(Tmc - setpoint) > temperature_error:
time.sleep(2.0)
Tmc, T_p = tc.mc(), tc.probe()
print "\r", "current MXC: ", Tmc, "current probe: ", T_p,
print "\r", "Target temperature reached.",
return Tmc, T_p
setpoint_updated = True
except Exception as e:
print "\r", str(e),
print "\r", "Failed to update setpoint",
reconnected = False
while not reconnected:
try:
print "\r", "Connecting to temperature server ...",
# cxn4 = labrad.connect('evaporator-PC', 7682, password='pass')
cxn4 = labrad.connect()
tc = cxn4.lakeshore_372
tc.select_device()
Tmc, T_p = tc.mc(), tc.probe()
print "\r", "MXC: ", Tmc, "probe: ", T_p,
print "\r", "Reconnected successfully",
reconnected = True
except Exception as e:
print "\r", str(e),
print "\r", "Could not reconnect to temperature server",
time.sleep(2.0)
def scan_R_vs_Vg_Bz(
file_path,
voltage_source,
voltage_channel,
amplitude=0.01,
frequency=17.777,
gate_gain=1.0,
meas_voltage_gain=1.0,
bz_range=[0.0, 0.0],
vg_range=[-1.0, 1.0],
number_of_bz_lines=1,
number_of_vg_points=200,
wait_time=wait_time,
note="misc",
):
# Get date, parameters and scan name
cxn0 = labrad.connect()
DV = cxn0.data_vault
date1 = datetime.datetime.now()
meas_parameters = get_meas_parameters()
scan_name = sys._getframe().f_code.co_name
# Initial settings of lockins
set_lockin_parameters(amplitude, frequency)
# Create data file and save measurement parameters
scan_var = ("Vg_ind", "Vg", "Bz_ind", "Bz", "Bz_ac", "Tmc", "Tp")
meas_var = ("Ix", "V1", "V2", "R1", "R2", "G1", "G2")
file_number = create_file(DV, file_path, scan_name, scan_var, meas_var)
write_meas_parameters(
DV,
file_path,
file_number,
date1,
scan_name,
meas_parameters,
amplitude,
frequency,
)
# Create meshes
# t_lines = np.linspace(t_range[0], t_range[1], number_of_t_lines)
b_lines = np.linspace(bz_range[0], bz_range[1], number_of_bz_lines)
t_mc0, t_p0 = 0, 0
##### Measurements start #####
# go to initial gate volatge
set_Vg_nodac(voltage_source, voltage_channel, 0.0, vg_range[0])
for ind, val in enumerate(b_lines, 1):
actual_B = set_Bz(MGz, val)
print "\r", "Field Line:", ind, "out of ", number_of_bz_lines
vg_ind = np.linspace(1, number_of_vg_points, number_of_vg_points)
vg = gate_gain * np.linspace(vg_range[0], vg_range[1], number_of_vg_points)
b_ind = np.linspace(ind, ind, number_of_vg_points)
b_val = val * np.ones(number_of_vg_points)
b_ac = actual_B * np.ones(number_of_vg_points)
t_mc = t_mc0 * np.ones(number_of_vg_points)
t_p = t_p0 * np.ones(number_of_vg_points)
data1 = np.array([vg_ind, vg, b_ind, b_val, b_ac, t_mc, t_p])
# Scan Vg and acquire data
data2 = scan_Vg(
voltage_source,
meas_voltage_gain,
voltage_channel,
vg_range[0],
vg_range[1],
number_of_vg_points,
wait_time,
)
data = np.vstack((data1, data2))
DV.add(data.T)
plot_fig(