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宇宙線ミュオンを用いた磁場測定システムの実用性に関する研究

ハミッド, バシリ HAMID, BASIRI 九州大学

2023.09.25

概要

九州大学学術情報リポジトリ
Kyushu University Institutional Repository

Feasibility study of magnetic field measurement
system using cosmic-ray muons
ハミッド, バシリ

https://hdl.handle.net/2324/7157377
出版情報:Kyushu University, 2023, 博士(工学), 課程博士
バージョン:
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名 :

Name

:

Hamid Basiri

論 文 名 : Feasibility study of magnetic field measurement system using cosmic-ray muons
(宇宙線ミュオンを用いた磁場測定システムの実用性に関する研究)
Title



分 :甲

Category

論 文 内 容 の 要 旨
Thesis Summary
Over a hundred years ago, Victor Hess's groundbreaking discovery of cosmic rays marked a new era in the field of
particle physics. One of the most remarkable advancements in this field is the use of cosmic-ray muons. These particles,
showering the Earth's surface at a rate of roughly 10,000 per square meter per minute, have been deployed for a variety
of applications. Their unique properties, including the ability to penetrate deeply into any material, their universal
availability (even underground), nearly perfect detection efficiency, and non-destructive interaction with objects, make
them invaluable. One notable technique that leverages these properties is muon radiography, also known as muography.
This technique primarily serves two major purposes: it enables the survey of the internal structure of large objects
through the absorption ratio and facilitates the inspection of hidden nuclear materials based on scattering angle.
This technology was initially employed by Alvarez for the purpose of exploring hidden chambers within the pyramids.
Despite the initial promise and potential of this technology, there was a period of prolonged inactivity, largely due to the
technological demands of muography detectors which limited its widespread applications. Nevertheless, with the recent
breakthroughs in detector technology such as large-scale data acquisition system, commercial detector availability, and
data analysis technology made many researchers possible to apply muography for various targets. The application of
muography has expanded to areas such as volcanology, geotomography, nuclear waste investigations, nuclear reactor
inspections, detection of high-Z materials, imaging of cultural heritage artifacts, and even assessing infrastructure
degradation.
Magnetic fields are one of the principal forces in nature, playing an instrumental role in a multitude of natural
phenomena and technological applications, including but not limited to accelerators, medical imaging, electric cars, and
fusion reactors. However, existing methods for accurately measuring and monitoring magnetic fields are not without
limitations. Traditional magnetic field detection techniques, such as Hall effect sensors and loop coils, although useful
in providing valuable data on local magnetic fields, often lack for measuring large targets and they must touch the
magnetic field to provide us the information of the magnet and inserting the probe will cause some difficulties. As a
result, there is an increasing effort to improve magnetic field detection and characterization.
Muon particles are fundamentally elementary particles similar to electrons, but much heavier. They carry an electric
charge identical in magnitude to that of an electron, and we find both positive and negative muons. This characteristic
is crucial when discussing their behavior in magnetic fields. Due to their charged nature, muons are subject to the Lorentz
force when moving through a magnetic field, which can deflect their trajectory. Notably, this deflection is not random;

instead, it follows a helical path as dictated by the right-hand rule. The degree of deflection is influenced by several
factors, including the muon's velocity, charge, and the strength of the magnetic field. This study explores the feasibility
of using cosmic-ray muons, given their natural abundance, unique characteristics, and behavior in magnetic fields, as
potential tools for magnetic field measurement. Simultaneously, the effect of magnetic fields −0on muography images
and material identification is significant, yet there are no studies addressing the interference of magnetic fields in muonbased material identification systems, a promising technology for security inspections. In this thesis, we also investigate
the impacts of magnetic fields on scattering muography inspection systems.
Chapter 1 provides an in-depth look into the phenomenon of cosmic-ray muons and their creation processes. It
introduces muography, describing its historical evolution, principles, detectors, and applications. Additionally, it gives
an overview of the methods currently are being used for measuring magnetic fields. The chapter ends with defining the
study objectives and providing an overview of the thesis.
In Chapter 2, the methodology is discussed, delving into the motion of muons in a magnetic field and the models for
cosmic-ray spectrums, including the PARMA model. This chapter also explores the interactions of muons with matter
and presents the tools used for particle transport.
Chapter 3 focuses on magnetic field muography detectors. It describes and analyzes the transmission and deflection
methods proposed for the magnetic field studies using cosmic-ray muons, detailing the specific techniques and
considerations for designing detectors, and analyzing methods.
Chapter 4 presents feasibility simulations for the transmission and deflection methods in magnetic field studies. It further
delves into the proposed methods for the estimation of magnetic flux density and concludes with a summary of the
simulation results.
In the final chapter, Chapter 5, the main findings are summarized, and recommendations for future research are proposed.
This chapter ends with concluding remarks that restate the importance and potential of this research area.
In conclusion, this thesis aims to address a gap in current understanding by investigating the feasibility and potential of
cosmic-ray muons, or muography, for the detection, imaging, and measurement of magnetic fields. Despite the
significant progress and potential exhibited by muography in various applications, its use in detecting magnetic fields
remains largely unexplored. Furthermore, while existing magnetic field measurement techniques demonstrate
impressive capabilities, they are not without limitations that necessitate the exploration of alternative approaches such
as muography. This thesis reveals the potential of using cosmic-ray muons for magnetic field detection, showcasing a
series of promising techniques that undoubtedly deserve further investigation. At the same time, it highlights the
complexity and challenges involved in this new approach, underscoring the need for ongoing, focused research to fully
tap into this potential and broaden our understanding of magnetic fields. We hope that our contributions will advance
knowledge in this field and potentially pave the way for breakthroughs in the measurement and understanding of
magnetic fields.

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参考文献

91

[48] Bruno Rossi and Kenneth Greisen. Cosmic-ray theory. Reviews of Modern Physics,

13(4):240, 1941.

[49] Virgil L Highland. Some practical remarks on multiple scattering. Nuclear Instruments

and Methods, 129(2):497–499, 1975.

[50] Claude Amsler, Michael Doser, P Bloch, A Ceccucci, GF Giudice, A Höcker,

ML Mangano, A Masoni, S Spanier, NA Törnqvist, et al. Review of particle physics.

Physics Letters B, 667(1-5):1–6, 2008.

[51] Gerald R Lynch and Orin I Dahl. Approximations to multiple coulomb scattering.

Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions

with Materials and Atoms, 58(1):6–10, 1991.

[52] Donald E Groom, Nikolai V Mokhov, and Sergei I Striganov. Muon stopping power and

range tables 10 mev–100 tev. Atomic Data and Nuclear Data Tables, 78(2):183–356,

2001.

[53] John David Jackson. Classical electrodynamics, 1999.

[54] Daniel Sunday. Practical geometry algorithms: With c++ code. KDP Print US, 2021.

[55] S. Noda T. Kin, T. Komori and T. Amano. Method and device for discriminating energy

of radiation ray using machine learning. Japanese PatentsApplication, 2019-160460,

Deciusion to Grant a Patent on Jun.13,2023.

[56] Rene Brun and Fons Rademakers. ROOT — An object oriented data analysis framework. Nuclear Instruments and Methods in Physics Research Section A: Accelerators,

Spectrometers, Detectors and Associated Equipment, 389(1-2):81–86, 1997.

[57] MATLAB. 9.12.0.1956245 (R2022a). The MathWorks Inc., Natick, Massachusetts,

2022.

List of figures

1.1

1.2

1.3

1.4

1.5

1.6

1.7

Particle classification. . . . . . . . . . . . . . .

Schematic view of an extensive air shower. . . .

Absorption muography method. . . . . . . . .

Scattering muogaphy method. . . . . . . . . .

Muon multiple scattering. . . . . . . . . . . . .

A plastic scintillator based muography detector.

Application of muography (Image by Lynkeos).

2.1

2.2

2.3

2.4

2.5

2.6

10

13

A positive muon crossing a magnetic field. . . . . . . . . . . . . . . . . . .

Muons of various energies interacting with a 0.5 T, 20 cm thick magnetic field.

Muons of various energies interacting with a 5 T, 20 cm thick magnetic field.

Effect of a 500 mT magnetic field on the tracks of 1 GeV muons. . . . . . .

Energy spectrum of cosmic ray muons at sea level. . . . . . . . . . . . . .

Vertical differential cosmic ray muon momentum spectrum in the range of

0.2–10 GeV/c. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

2.7 The variation of cosmic ray muon flux with zenith angles in the range of 0 –

89° at sea level. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

2.8 Comparison of muon interactions shares in iron. . . . . . . . . . . . . . . .

2.9 Mean energy loss rate in some materials. . . . . . . . . . . . . . . . . . . .

2.10 Mass stopping power (= < −dE/dx >) for positive muons in copper as a

function of β γ = p/Mc over nine orders of magnitude in momentum (12

orders of magnitude in kinetic energy). The approximated cosmic muon

energy range is indicated with vertical blurred lines . . . . . . . . . . . . .

20

22

22

23

24

3.1

3.2

3.3

38

39

Transmission muography. . . . . . . . . . . . . . . . . . . . . . . . . . . .

Simulation used for muography image of 10 iron plates. . . . . . . . . . . .

Muography image of 10 iron plates for (a) normal muography and (b) in the

presence of a quadrupole magnetic field. . . . . . . . . . . . . . . . . . . .

25

26

29

31

32

39

94

List of figures

3.4

3.5

3.6

3.7

3.8

3.9

3.10

3.11

3.12

3.13

3.14

3.15

3.16

3.17

3.18

3.19

3.20

3.21

3.22

3.23

4.1

4.2

4.3

4.4

4.5

4.6

4.7

4.8

Cumulative Distribution Function (CDF) and Probability Density Function

(PDF) of muons calculated by the PARMA model. . . . . . . . . . . . . .

Design of magnetic field measurement based on transmission muography. .

Figure of merit analysis . . . . . . . . . . . . . . . . . . . . . . . . . . .

Design of magnetic field measurement system using scattering muography .

Positive muons in a magnetic field. . . . . . . . . . . . . . . . . . . . . . .

Schematic of the PoCA algorithm. . . . . . . . . . . . . . . . . . . . . . .

Illustration of the magnetic field’s influence on PoCA points. . . . . . . . .

Magnetic field region and uranium target simulation geometry. . . . . . . .

Uranium target with no magnetic field. . . . . . . . . . . . . . . . . . . . .

Magnetic field of 100 mT and uranium target. . . . . . . . . . . . . . . . .

Magnetic field of 200 mT and uranium target. . . . . . . . . . . . . . . . .

Magnetic field of 500 mT and uranium target. . . . . . . . . . . . . . . . .

Magnetic field of 1 T and uranium target. . . . . . . . . . . . . . . . . . .

Magnetic field of 5 T and uranium target. . . . . . . . . . . . . . . . . . .

Geometry of simulation using 4 targets. . . . . . . . . . . . . . . . . . . .

Muography image of 4 targets using PoCA algorithm. . . . . . . . . . . .

Influence of magnetic field on the image of 4 targets. . . . . . . . . . . . .

Displacement of muons due to magnetic field. . . . . . . . . . . . . . . .

Setup of detectors and magnetic fields. . . . . . . . . . . . . . . . . . . .

Multi-layer muon energy spectrometer. . . . . . . . . . . . . . . . . . . .

Simulation setup and conditions for magnetic field imaging. . . . . . . . .

(a) Muography images (attenuation ratio maps) of nine blocks with magnetic

field flux densities of different magnitudes. (b) Magnetic field regions determined by the FOM methods are colored red, and the actual magnetic regions

are indicated by dashed lines. . . . . . . . . . . . . . . . . . . . . . . . . .

Geometry of simulation in PHITS. . . . . . . . . . . . . . . . . . . . . . .

Simulation of the set-up for this feasibility study (a), and effect of the magnetic field on the muon trajectories (b,c) illustrated for the case of 100 MeV

energy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Muon counting rate maps for a realistic simulation of the muon flux. . . . .

Geometry of simulations used for investigation of the effect of magnetic field

in material detection. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Muography image of uranium target using all PoCA points. . . . . . . . .

Muography image of uranium target using a threshold of 5 degree for scattering angle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

40

41

41

43

48

50

51

52

53

53

54

54

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55

56

56

57

58

59

62

64

65

67

68

69

71

71

71

List of figures

4.9

4.10

4.11

4.12

4.13

4.14

4.15

4.16

4.17

4.18

4.19

4.20

4.21

4.22

4.23

Distribution of PoCA points in voxels in the absence of magnetic field. . .

Distribution of PoCA points in voxels in the presence of magnetic field. . .

Number of PoCA points in each voxel. . . . . . . . . . . . . . . . . . . . .

Distribution of average scattering angles in voxels in the absence of magnetic

field. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Distribution of average scattering angles in voxels in the presence of magnetic

field. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Mean scattering angle inside each voxel. . . . . . . . . . . . . . . . . . . .

Predicted suspicious voxels using K-means clustering in the absence of

magnetic field. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Predicted suspicious voxels using K-means clustering in the presence of

magnetic field. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Scheme of the design of the simulation study for the muon inspection system.

Muography images under various magnetic fields. . . . . . . . . . . . . . .

Simulation geometry using a known magnetic field. . . . . . . . . . . . . .

Comparison of calculated and real values for muon energy. . . . . . . . . .

The designed simulation geometry used for the estimation of magnetic flux

density. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Imaging of the lead target and magnetic field. . . . . . . . . . . . . . . . .

Estimation of magnetic flux density using linear regression. . . . . . . . .

95

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75

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76

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78

79

80

81

82

List of tables

2.1

2.2

2.3

3.1

3.2

Energy loss of muons for different energies in iron . . . . . . . . . . . . .

Parameters used in and Bethe-Bloch formula. . . . . . . . . . . . . . . . .

Minimum and maximum energy loss rates of muons for different materials

within the cosmic muon energy range (0.1 to 100 GeV/c). . . . . . . . . . .

29

30

33

Radiation length calculations for various materials. . . . . . . . . . . . . .

Constant parameters. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

45

59

...

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