DC magnetometry¶

In this tutorial, the Ubermag micromagnetic simulation software is used to create a 3-dimensional magnetic structure, on which DC magnetometry can be performed. DC magnetometry is a measurement technique that enables the magnetic dipole moment of a sample to be measured. Magnetometers come in many varieties, such as Vibrating Sample Magnetometers and Superconducting Quantum Interference Device magnetometers, but these all have the ability to measure the sample's magnetisation.

Magnetometry Reference frame¶

In mag2exp the experimental reference for magnetometry is defined to be congruent to the sample reference frame.

The micromagnetic simulation¶

A micromagnetic simulation can be set up using Ubermag to obtain a 3-dimensional magnetic structure.

In [1]:

%matplotlib inline
import discretisedfield as df
import matplotlib.pyplot as plt
import micromagneticmodel as mm
import numpy as np
import oommfc as oc
import ubermagutil.units as uu

np.random.seed(1)

region = df.Region(p1=(-150e-9, -150e-9, 0), p2=(150e-9, 150e-9, 20e-9))
mesh = df.Mesh(region=region, cell=(5e-9, 5e-9, 5e-9))

system = mm.System(name="Box2")

system.energy = (
    mm.Exchange(A=1.6e-11) + mm.DMI(D=4e-3, crystalclass="T") + mm.Zeeman(H=(0, 0, 0))
)

Ms = 1.1e6  # A/m


def m_fun(pos):
    return 2 * np.random.rand(3) - 1


# create system with above geometry and initial magnetisation
system.m = df.Field(mesh, dim=3, value=m_fun, norm=Ms)

Plot the initial magnetisation:

In [2]:

# NBVAL_IGNORE_OUTPUT
system.m.plane("z").mpl()

Relax the system and plot its magnetisation.

In [3]:

# NBVAL_IGNORE_OUTPUT
# minimize the energy
md = oc.MinDriver()
md.drive(system)

# Plot relaxed configuration: vectors in z-plane
system.m.plane("z").mpl()

Running OOMMF (ExeOOMMFRunner)[2022/05/11 14:21]... (4.2 s)

We can now compute the net magnetisation of the sample.

DC Magnetisation¶

In [4]:

import mag2exp

The mag2exp.magnetometry.magnetisation function can be used to obtain the samples magnetisation in each dimension in A/m.

In [5]:

# NBVAL_IGNORE_OUTPUT
mag2exp.magnetometry.magnetisation(system.m)

Out[5]:

(3518.084594232684, 8389.317283463413, -25604.572753826702)

We can set up a loop to mimic the experimental procedure of a magnetometer. We can apply an increasing field along $z$ direction and measure the magnetisation in this direction.

In [6]:

mag_arr = []
H_arr = []
for H in np.linspace(0, 1000000, 20):
    system.energy.zeeman.H = (0, 0, H)
    md.drive(system, verbose=0)
    H_arr.append(H)
    mag_arr.append(mag2exp.magnetometry.magnetisation(system.m))

In [7]:

# NBVAL_IGNORE_OUTPUT
plt.scatter(np.array(H_arr) * 4 * np.pi * 1e-7, np.array(mag_arr)[:, 2])
plt.ylabel(r"$M_z$ (A/m)")
plt.xlabel("Applied field (T)")
plt.show()

This procedure can also be carried out using oommfc.HysteresisDriver().

In [ ]: