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Muography
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Страница 1
Table of Contents
List of Tables
List of Illustrations
Guide
Pages
Geophysical Monograph Series
Muography Geophysical Monograph 270 Exploring Earth's Subsurface with Elementary Particles
Страница 9
List of Contributors
Preface
1 Principles of Muography and Pioneering Works
ABSTRACT
1.1 INTRODUCTION
1.2 PRINCIPLES OF MUOGRAPHY
1.2.1 Muon Energy Spectrum
1.2.2 Geomagnetic Effects in the Muon Flux
1.2.3 Altitudinal Atmospheric Effects in the Muon Flux
1.2.4 Seasonal Atmospheric Effect in the Muon Flux
1.2.5 Muon Flux Reduction through Matter
1.2.6 Muon Scattering
1.2.7 Background Events in Muography
1.2.8 Required Measurement Times
1.2.9 Muographically Averaged Densimetric Thickness and Muographically Averaged Geometric Thickness
1.2.10 Limitations of Muography and Potential Geological Targets
1.3 PIONEERING WORKS
1.3.1 Early Works
1.3.2 Magmatic Convection
1.3.3 Phreatic Explosions and Magmatic Eruptions
1.3.4 Plate Tectonics and Volcanism
1.3.5 Underground Water
1.4 CONCLUSIONS
REFERENCES
Страница 34
2 Tomographic Imaging of Volcano Structures with Cosmic‐Ray Muons
ABSTRACT
2.1 INTRODUCTION
2.2 LINEAR INVERSION
2.3 FILTERED BACK PROJECTION
2.4 PERFORMANCE ESTIMATION WITH A FORWARD MODELING SIMULATION
2.5 RESULTS
2.6 DISCUSSION
2.7 CONCLUSIONS
ACKNOWLEDGEMENTS
REFERENCES
3 Joint Inversion of Muography and Gravity Data for 3D Density Imaging of Volcanoes
ABSTRACT
3.1 INTRODUCTION
3.2 GRAVITY MEASUREMENTS
3.3 LINEAR JOINT INVERSION
3.4 MORE EXACT FORMULATION
3.5 DENSITY BIAS
3.6 REGULARIZATION PARAMETERS
3.7 DISCUSSION
3.8 SUMMARY
REFERENCES
SUPPLEMENTAL INFORMATION S3.1. ANALYTICAL FORMULA FOR THE GRAVITATIONAL EFFECT
4 Machine Learning with Muographic Images as Input: An Application to Volcano Eruption Forecasting
ABSTRACT
4.1 INTRODUCTION 4.1.1 The Concept of Machine Learning
4.1.2 Volcano Eruption Forecasting With Machine Learning
4.2 MUOGRAPHIC OBSERVATION OF THE SAKURAJIMA VOLCANO
4.3 A CONCEPTUALIZATION OF VOLCANO ERUPTION FORECASTING WITH MUOGRAPHY
4.4 MUOGRAPHIC DATA PROCESSING WITH MACHINE LEARNING
4.4.1 Processing of Average Fluxes with Support Vector Machine
4.4.2 Processing of Average Fluxes with Neural Network
4.4.3 Muographic Image Processing With Convolutional Neural Network
4.5 DISCUSSION
ACKNOWLEDGMENTS
REFERENCES
Страница 71
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