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Geomagnetic field NMR relaxometer to monitor the working substance, sensor and electronics of the POS-1 Overhauser magnetometer

Authors:

Abstract

This paper presents a hardware-software solution to the problem of studying and controlling the amplitude-time characteristics of the nuclear precession signal of the working substance of the Overhauser sensors of POS-1 magnetometers. The aspects of development are considered: the technical task for the test bench, the hardware design of the device, its general functionality and its software components. Also presented are some results of studies conducted on the stand, demonstrating its efficiency and accuracy.
AIP Conference Proceedings 2174, 020261 (2019); https://doi.org/10.1063/1.5134412 2174, 020261
© 2019 Author(s).
Geomagnetic field NMR relaxometer to
monitor the working substance, sensor
and electronics of the POS-1 Overhauser
magnetometer
Cite as: AIP Conference Proceedings 2174, 020261 (2019); https://doi.org/10.1063/1.5134412
Published Online: 06 December 2019
V. A. Ushakov, A. Y. Denisov, A. V. Sergeev, E. D. Narkhov, and V. A. Sapunov
Geomagnetic Field NMR Relaxometer to Monitor the
Working Substance, Sensor and Electronics of the POS-1
Overhauser Magnetometer
V. A. Ushakova), A. Y. Denisov, A. V. Sergeev, E. D. Narkhov and
V. A. Sapunov b)
Ural Federal University, 19 Mira Street, Ekaterinburg, 620002, Russian Federation.
a)Corresponding author: Ushakov.fti@gmail.com
b)vasapunov@gmail.com
Abstract. This paper presents a hardware-software solution to the problem of studying and controlling the amplitude-
time characteristics of the nuclear precession signal of the working substance of the Overhauser sensors of POS-1
magnetometers. The aspects of development are considered: the technical task for the test bench, the hardware design of
the device, its general functionality and its software components. Also presented are some results of studies conducted on
the stand, demonstrating its efficiency and accuracy.
INTRODUCTION
The research laboratory of Quantum Magnetometry of the Ural Federal University is the leading developer of
high-precision magnetometers of a weak field, for various purposes, based on the Overhauser effect. In particular,
the laboratory is a manufacturer of serial magnetometers of the POS (Processor Overhauser Sensor) line, including
POS-1, which is widely represented in ground geological exploration, observatory and metrological practice, in
seismic and volcanic monitoring systems.
Proton Overhauser magnetometers measure the magnitude of the magnetic field induction with high accuracy
based on the fundamental connection between the proton gyromagnetic ratio and the frequency of free precession of
the total vector of nuclear magnetization:
,
00
B
γω
=
(1)
where ω0 is the Larmor precession frequency, γ = 2.67515255108 rad/(nTs) is the gyromagnetic ratio of the
proton, В0 is the modulus of the external magnetic field. Measuring the frequency of proton precession, the POS-1
calculates and provides the user with the magnitude of the field modulus with a high degree of accuracy, of the order
of 10-6.
The ideal signal of the free precession of the nuclear moments of the working substance is:
( )
,0,cosexp)(
00
2
>+
= At
T
t
AtS
θω
(2)
where T2 is the transverse relaxation time. The initial amplitude A is determined by the parameters of the working
substance, the design parameters of the sensor, the magnitude of the polarizing field or the effective polarizing field
Physics, Technologies and Innovation (PTI-2019)
AIP Conf. Proc. 2174, 020261-1–020261-6; https://doi.org/10.1063/1.5134412
Published by AIP Publishing. 978-0-7354-1921-6/$30.00
020261-1
(depending on the type of sensor), the polarization time and the measurement mode. After digitization, in order to
calculate the frequency as precisely as possible, the essential information for the hardware developer is actually the
characteristics of the signal envelope that are hidden for the average consumer: its amplitude and decay time.
Knowledge of these characteristics is especially important at the stages of development, production and performance
monitoring during long-term operation.
In addition to the initial amplitude, the key parameter that actually determines the duration of signal digitization
is the transverse relaxation time T2. In the Overhauser technology, relaxation essentially depends on the type and
content of the radical added to the working substance. Accordingly, highlighting the key contributions, we can
present the relaxation rate of the sensor working substance in the form:
,
111
202
cconst
TT g
++=
τ
(3)
where T20is the relaxation time of the pure solvent, τgis the decay time due to the gradient of the external field,
and c is the radical concentration. In the case of measurements in a shielded magnetic system, the gradient
component is directly proportional to the field [1]:
.
1
0
Bconst
g
=
τ
(4)
When investigating the relaxation rate in Overhauser sensors, it is necessary to take into account that connection
between T2 and the temperature of the working substance is significant, and sensor heats up during operation by an
average of 10 degrees. This connection is described by expression:
, 2const
T
T=
η
(5)
where T is the temperature in kelvins, η is the viscosity of the solvent [2]. Using this formula, it is possible to
calibrate temperature effects, when measuring the relaxation rate.
When designing and producing Overhauser sensors, in particular, POS-1 magnetometers, it is necessary to
monitor the NMR signal, namely, its amplitude and attenuation, in fact, the relaxation time (2). Automation of this
process - the creation of a specialized stand, makes it possible to quickly monitor the quality of the Overhauser
sensor, in particular, its key part - the working substance. The availability of information on the signal
characteristics allows the selection and study of the properties of various solvents and radicals, the selection of their
percentage ratios, and the synthesis of the radical to determine its percentage (efficiency of chemical synthesis).
The purpose of this work was to create and test the functionality of a software and hardware test bench to study
the amplitude-temporal characteristics of the nuclear precession signal of working substances of POS-1 Overhauser
sensors.
THE IMPLEMENTATION OF THE TEST BENCH FOR STUDYING AND TESTING
OVERHAUSER SENSORS OF POS-1 MAGNETOMETERS
Based on the characteristics of the POS-1 sensor, we will establish operating ranges of values within which the
stand should have the best accuracy indicators:
1. concentration of the radical 0.001 - 0.01 mmol/l;
2. optimal relaxation times are 0.33 s;
3. correlation time of noise 1 - 10 ms;
4. range of measured fields is from 20,000 to 100,000 nT, which according to (1) corresponds to frequencies of
about 0.8 to 4 kHz;
5. from the previous paragraph and the Kotelnikov-Nyquist theorem, the digitization frequency should be at
least 8 kHz (in actual practice, more than 15 kHz).
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From the hardware point of view, the stand represents the development of an existing laboratory measure of the
magnetic field. An external ADC module was added to it for communication between the electronics unit of the
magnetometer and the computer. An L-Card model E20-10 was chosen, which has the following characteristics:
digitization frequency up to 10 MHz, 14 bits, a voltage measurement range of ± 5 V, limits of permissible reduced
basic error of voltage measurements of ± 0.25%, limits of permissible relative basic error frequency conversion
ADC ± 0.005% [3].
The general block diagram of the device is shown in Fig. 1.
FIGURE 1. Installation block diagram (1 - magnetic screen consisting of four coaxial layers of permalloy alloy; 2 - two-layer
solenoid; 3 - power supply source of the solenoid; 4 - power supply unit of the current source of the solenoid; 5 - a magnetometer
consisting of an electronics unit (5) and an Overhauzer proton sensor (5’); 6 - battery for powering the magnetometer; 7 - a
computer equipped with developed software; 8 - oscilloscope; 9 - voltmeter; 10 - ADC.)
The LabView environment was chosen for the development of the software part of the complex, because it
allows visualizing each development stage of the program, and also has specialized libraries for the selected ADC.
The program is a sequential conversion of a digitized signal. The first step is the digitization of the nuclear
precession signal. In accordance with the specification, at the beginning of the signal there are transients that must
be excluded from processing (cut off 10-20 ms).
The second stage highlights the signal envelope with the help of a software-implemented quadrature detector
(6, 7). To find the envelope of the signal (2), it is convenient to use the Hilbert transform, thus obtaining the
quadrature component Q (t), orthogonal to the component S (t):
(6)
the improper integral being understood in the principal value sense. To perform this operation in the LabView
libraries there is a virtual instrument HHT. Accordingly, conducting quadrature detection, we select the signal
envelope [4]:
.)()(E(t)
22
tQtS +=
(7)
The third step is decimation of the signal using averaging to reduce the frequency of the signal to 1 kHz. This
frequency is selected based on the time correlation of the noise presented in the technical task.
At the fourth stage, a regression analysis is performed (8, 9). In our case, based on (2), it should be assumed that
the model has the form:
.)exp(f(t) cbta +=
(8)
020261-3
The function of this type is obtained using the generalization of the iterative least squares method and the
Levenberg-Marquardt steepest descent method, for which the LabView library has a special virtual instrument
«Exponential fit».
Comparing expressions (2) and (8), we obtain that A = a, and the relaxation time:
.
1
2
b
T=
(9)
To find the errors of the parameters found, use the virtual instrument Exponential Fit Intervals from the standard
LabView libraries.
As a result, the received signal of nuclear precession of the working substance of the sensor under study, its
smoothed envelope, amplitude and relaxation time with errors are displayed on the front interface of the program.
The program interface is shown in Fig. 2.
FIGURE 2. Program panel with the display of the signal and its main characteristics
STAND TESTS
Experiments were carried out to check for compliance of the measured characteristics with theoretical
dependencies. The relaxation times are measured for three sensors with a known concentration of the radical to
verify the law (3). The experiment was performed with a minimum field of 20,000 nT to minimize the gradient
component. As can be seen from the graph in Fig. 3, the law (3) is fulfilled.
020261-4
0.002 0.004 0.006 0.008 0.010 0.012 0.014 0.016 0.018 0.020 0.022
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
2.2
2.4
Damping 1/T2, s-1
Concentration c, mmol/l
FIGURE 3. The dependence of the attenuation rate of the signal on the radical concentration
Next, relaxation times were measured for a single sensor in different fields in the range of 2000080000 nT, to
verify the law (4). The graph in Fig. 4 has the form described by expression (4).
20000 30000 40000 50000 60000 70000 80000
0.4
0.6
0.8
1.0
1.2
1.4
Damping 1/T
2
, s
-1
Magnetic field induction B, nT
FIGURE 4. The dependence of the attenuation rate of the signal from the magnetic field
Thus, from the presented experiments, it can be concluded that the developed installation can be used for
monitoring and research of POS-1 Overhauser sensors of magnetometers.
CONCLUSION
A testbed has been developed for analyzing the amplitude-time characteristics of the nuclear precession signal of
the working substance of the Overhauser magnetometers. The hardware and software algorithms used in it are
described. Experiments confirming the correspondence of the measured parameters to theoretical dependencies were
carried out.
020261-5
It is planned to further develop the system with the expansion of its functionality. In particular, the development
of a system up to a spectrometer for dynamic polarization of nuclei will make it possible to study solutions of stable
radicals, which are the working substances of Overhausier magnetometers.
REFERENCES
1. A. Carrington and E. MacLechlan, Magnetic Resonance and its Use in Chemistry (Mir, Moscow, 1970),
pp. 247252.
2. A. Abraham, Nuclear Magnetism (FLPH, Moscow, 1963), pp. 330–352.
3. A. V. Garmanov, Measuring Voltage Converters (LLC “L-Card”, Moscow, 2018), p. 60.
4. H. Liua, H. Dongb, Z. Liub and J. Ge, Instruments and Experimental Techniques 61(1), 5564 (2018).
020261-6
Article
Full-text available
The parameters in a nuclear magnetic resonance (NMR) free induction decay (FID) signal contain information that is useful in magnetic field measurement, magnetic resonance sounding (MRS) and other related applications. A real time sampled FID signal is well modeled as a finite mixture of exponential sequences plus noise. We propose to use the Hilbert-Huang Transform (HHT) for noise reduction and characterization, where the generalized Hilbert-Huang represents a way to decompose a signal into so-called intrinsic mode function (IMF) along with a trend, and obtain instantaneous frequency data. Moreover, the HHT for an FID signal's feature analysis is applied for the first time. First, acquiring the actual untuned FID signal by a developed prototype of proton magnetometer, and then the empirical mode decomposition (EMD) is performed to decompose the noise and original FID. Finally, the HHT is applied to the obtained IMFs to extract the Hilbert energy spectrum, to indicate the energy distribution of the signal on the frequency axis. By theory analysis and the testing of an actual FID signal, the results show that, compared with general noise reduction methods such as auto correlation and singular value decomposition (SVD), combined with the proposed method can further suppress the interfered signals effectively, and can obtain different components of FID signal, which can use to identify the magnetic anomaly, the existence of groundwater etc. This is a very important property since it can be exploited to separate the FID signal from noise and to estimate exponential sequence parameters of FID signal.
Magnetic Resonance and its Use in Chemistry
  • A Carrington
  • E Maclechlan
A. Carrington and E. MacLechlan, Magnetic Resonance and its Use in Chemistry (Mir, Moscow, 1970), pp. 247-252.
Measuring Voltage Converters (LLC “L-Card
  • A V Garmanov
A. V. Garmanov, Measuring Voltage Converters (LLC "L-Card", Moscow, 2018), p. 60.
  • H Liua
  • H Dongb
  • Z Liub
  • J Ge
H. Liua, H. Dongb, Z. Liub and J. Ge, Instruments and Experimental Techniques 61(1), 55-64 (2018).