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Inverse magnetometry = mollifier mag...
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Blick, Christian.
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Inverse magnetometry = mollifier magnetization distribution from geomagnetic field data /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Inverse magnetometry/ by Christian Blick ... [et al.].
Reminder of title:
mollifier magnetization distribution from geomagnetic field data /
other author:
Blick, Christian.
Published:
Cham :Springer International Publishing : : 2021.,
Description:
xii, 114 p. :ill., digital ;24 cm.
[NT 15003449]:
Introductory Remarks -- Basics of Magnetic Field Theory and Magnetization -- Dipole Potential Based Magnetometry -- Inverse Magnetometry -- Multi-Scale Inverse Mollifier Magnetometry -- Test Demonstrations -- Concluding Remarks.
Contained By:
Springer Nature eBook
Subject:
Geomagnetism - Mathematical models -
Online resource:
https://doi.org/10.1007/978-3-030-79508-5
ISBN:
9783030795085
Inverse magnetometry = mollifier magnetization distribution from geomagnetic field data /
Inverse magnetometry
mollifier magnetization distribution from geomagnetic field data /[electronic resource] :by Christian Blick ... [et al.]. - Cham :Springer International Publishing :2021. - xii, 114 p. :ill., digital ;24 cm. - Lecture notes in geosystems mathematics and computing,2512-3211. - Lecture notes in geosystems mathematics and computing..
Introductory Remarks -- Basics of Magnetic Field Theory and Magnetization -- Dipole Potential Based Magnetometry -- Inverse Magnetometry -- Multi-Scale Inverse Mollifier Magnetometry -- Test Demonstrations -- Concluding Remarks.
This monograph presents the geoscientific context arising in decorrelative geomagnetic exploration. First, an insight into the current state of research is given by reducing magnetometry to mathematically accessible, and thus calculable, decorrelated models. In this way, various questions and problems of magnetometry are made available to a broad scientific audience and the exploration industry. New stimuli are given, and innovative ways of modeling geologic strata by mollifier magnetometric techniques are shown. Potential data sets primarily of terrestrial origin constitute the main data basis in the book. For deep geology, the geomathematical decorrelation methods are designed in such a way that depth information (e.g., in boreholes) may be canonically entered. Overall, this book provides pioneering and ground-breaking innovative mathematical knowledge as a transfer methodology from the "reality space" of magnetometric measurements into the "virtual space" of mathematical-numerical modeling structures and mollifier solutions with novel geological application areas. It pursues a double goal: On the one hand, it represents a geoscientific set of rules for today's geoengineering, interested in the application of innovative modelling and simulation techniques to promising data sets and structures occurring in geomagnetics. On the other hand, the book serves as a collection of current material in Applied Mathematics to offer alternative methodologies in the theory of inverse problems.
ISBN: 9783030795085
Standard No.: 10.1007/978-3-030-79508-5doiSubjects--Topical Terms:
3518485
Geomagnetism
--Mathematical models
LC Class. No.: QC815.2
Dewey Class. No.: 538.7015118
Inverse magnetometry = mollifier magnetization distribution from geomagnetic field data /
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mollifier magnetization distribution from geomagnetic field data /
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Introductory Remarks -- Basics of Magnetic Field Theory and Magnetization -- Dipole Potential Based Magnetometry -- Inverse Magnetometry -- Multi-Scale Inverse Mollifier Magnetometry -- Test Demonstrations -- Concluding Remarks.
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This monograph presents the geoscientific context arising in decorrelative geomagnetic exploration. First, an insight into the current state of research is given by reducing magnetometry to mathematically accessible, and thus calculable, decorrelated models. In this way, various questions and problems of magnetometry are made available to a broad scientific audience and the exploration industry. New stimuli are given, and innovative ways of modeling geologic strata by mollifier magnetometric techniques are shown. Potential data sets primarily of terrestrial origin constitute the main data basis in the book. For deep geology, the geomathematical decorrelation methods are designed in such a way that depth information (e.g., in boreholes) may be canonically entered. Overall, this book provides pioneering and ground-breaking innovative mathematical knowledge as a transfer methodology from the "reality space" of magnetometric measurements into the "virtual space" of mathematical-numerical modeling structures and mollifier solutions with novel geological application areas. It pursues a double goal: On the one hand, it represents a geoscientific set of rules for today's geoengineering, interested in the application of innovative modelling and simulation techniques to promising data sets and structures occurring in geomagnetics. On the other hand, the book serves as a collection of current material in Applied Mathematics to offer alternative methodologies in the theory of inverse problems.
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Mathematics and Statistics (SpringerNature-11649)
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EB QC815.2
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