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Measuring X as a function of time

Sometimes we’d like to measure something as a function of elapsed wall clock time. QCoDeS provides a convenient default way of doing such a measurement, namely by using the ElapsedTimeParameter.

The main utility of having a default way of measuring time is the uniformity in data of different experiments.

[1]:
import os

import numpy as np

from qcodes.dataset import (
    Measurement,
    initialise_or_create_database_at,
    load_or_create_experiment,
    plot_dataset,
)
from qcodes.parameters import ElapsedTimeParameter, Parameter

Prepatory footwork: setup database and experiment

[2]:
initialise_or_create_database_at(os.path.join(os.getcwd(), 'x_as_a_function_of_time.db'))
load_or_create_experiment('tutorial', 'no_sample')
[2]:
tutorial#no_sample#1@/home/runner/work/Qcodes/Qcodes/docs/examples/DataSet/x_as_a_function_of_time.db
-----------------------------------------------------------------------------------------------------

The measurement itself

We’ll measure some Brownian motion. We set up a parameter for the noise.

[3]:
noise = Parameter('noise',
                  label='Position',
                  unit='m',
                  get_cmd=lambda: np.random.randn())
time = ElapsedTimeParameter('time')
[4]:
meas = Measurement()
meas.register_parameter(time)
meas.register_parameter(noise, setpoints=[time])
[4]:
<qcodes.dataset.measurements.Measurement at 0x7f1fdc282dd0>
[5]:
with meas.run() as datasaver:
    pos = 0
    time.reset_clock()
    for _ in range(100):
        pos += noise()
        now = time()
        datasaver.add_result((noise, pos), (time, now))

dataset = datasaver.dataset
Starting experimental run with id: 1.
[6]:
axs, cbs = plot_dataset(dataset)
../../_images/examples_DataSet_Measuring_X_as_a_function_of_time_8_0.png
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