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sweeps.py
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from qcodes.dataset.measurements import Measurement
import numpy as np
from qcodes.instrument.specialized_parameters import ElapsedTimeParameter
from time import sleep
from tqdm.notebook import tqdm
def do1d(param_set, start, stop, num_points, delay, *param_meas):
meas = Measurement()
meas.register_parameter(param_set) # register the first independent parameter
output = []
param_set.post_delay = delay
# do1D enforces a simple relationship between measured parameters
# and set parameters. For anything more complicated this should be reimplemented from scratch
for parameter in param_meas:
meas.register_parameter(parameter, setpoints=(param_set,))
output.append([parameter, None])
with meas.run() as datasaver:
for set_point in tqdm(np.linspace(start, stop, num_points)):
param_set.set(set_point)
for i, parameter in enumerate(param_meas):
output[i][1] = parameter.get()
datasaver.add_result((param_set, set_point),
*output)
dataid = datasaver.run_id # convenient to have for plotting
return dataid
def do2d(param_set1, start1, stop1, num_points1, delay1,
param_set2, start2, stop2, num_points2, delay2,
*param_meas):
# And then run an experiment
meas = Measurement()
meas.register_parameter(param_set1)
param_set1.post_delay = delay1
meas.register_parameter(param_set2)
param_set2.post_delay = delay2
output = []
for parameter in param_meas:
meas.register_parameter(parameter, setpoints=(param_set1,param_set2))
output.append([parameter, None])
with meas.run() as datasaver:
for set_point1 in tqdm(np.linspace(start1, stop1, num_points1), desc='first parameter'):
param_set1.set(set_point1)
for set_point2 in tqdm(np.linspace(start2, stop2, num_points2), desc='nested parameter', leave=False):
param_set2.set(set_point2)
for i, parameter in enumerate(param_meas):
output[i][1] = parameter.get()
datasaver.add_result((param_set1, set_point1),
(param_set2, set_point2),
*output)
param_set2.set(start2)
dataid = datasaver.run_id # convenient to have for plotting
return dataid
def do2ddyn(param_set1, start1, stop1, num_points1, dyn_param, dyn_value1,dyn_value2, delay1,
param_set2, start2, stop2, num_points2, delay2,
*param_meas):
# And then run an experiment
meas = Measurement()
meas.register_parameter(param_set1)
meas.register_parameter(dyn_param)
param_set1.post_delay = delay1
meas.register_parameter(param_set2)
param_set2.post_delay = delay2
output = []
for parameter in param_meas:
meas.register_parameter(parameter, setpoints=(param_set1,param_set2))
output.append([parameter, None])
with meas.run() as datasaver:
for set_point1 in tqdm(np.linspace(start1, stop1, num_points1), desc='first parameter'):
param_set1.set(set_point1)
dyn_set = set_point1*dyn_value1+dyn_value2
dyn_param.set(dyn_set)
for set_point2 in tqdm(np.linspace(start2, stop2, num_points2), desc='nested parameter', leave=False):
param_set2.set(set_point2)
for i, parameter in enumerate(param_meas):
output[i][1] = parameter.get()
datasaver.add_result((param_set1, set_point1),
(dyn_param, dyn_set)
(param_set2, set_point2),
*output)
param_set2.set(start2)
dataid = datasaver.run_id # convenient to have for plotting
return dataid
def time_sweep(num_points, delay, *param_meas):
print('ENTERED TIME SWEEP')
time = ElapsedTimeParameter('time')
meas = Measurement()
meas.register_parameter(time)
output = []
for parameter in param_meas:
meas.register_parameter(parameter, setpoints=(time,))
output.append([parameter, None])
with meas.run() as datasaver:
time.reset_clock()
for point in tqdm(range(num_points),position=0,leave=False):
for i, parameter in enumerate(param_meas):
output[i][1] = parameter.get()
now = time()
datasaver.add_result((time, now),
*output)
sleep(delay)
dataid = datasaver.run_id # convenient to have for plotting
return dataid
def measure_until(param_ind, exit_condition, delay, *param_meas):
meas = Measurement()
meas.register_parameter(param_ind)
output = []
for parameter in param_meas:
meas.register_parameter(parameter, setpoints=(param_ind,))
output.append([parameter, None])
with meas.run() as datasaver:
while not exit_condition(param_ind, param_meas):
for i, parameter in enumerate(param_meas):
output[i][1] = parameter.get()
datasaver.add_result((param_ind, param_ind.get()),
*output)
sleep(delay)
dataid = datasaver.run_id # convenient to have for plotting
return dataid
def do1d_until(param_ind, exit_condition, delay1,
param_set, start, stop, num_points, delay2,
*param_meas):
meas = Measurement()
meas.register_parameter(param_ind)
meas.register_parameter(param_set)
param_set.post_delay = delay2
output = []
for parameter in param_meas:
meas.register_parameter(parameter, setpoints=(param_ind, param_set))
output.append([parameter, None])
with meas.run() as datasaver:
while not exit_condition(param_ind, param_set, param_meas):
set_point1 = param_ind.get()
for set_point2 in np.linspace(start, stop, num_points):
param_set.set(set_point2)
for i, parameter in enumerate(param_meas):
output[i][1] = parameter.get()
datasaver.add_result((param_ind, set_point1),
(param_set, set_point2),
*output)
sleep(delay1)
dataid = datasaver.run_id # convenient to have for plotting
return dataid