Magnetic Analysis

This book offers systematic and up-to-date treatment of the whole area of magnetic domains. It contains many contributions that have not been published before. The comprehensive survey of this important area gives a good introduction to students and is also interesting to researchers.

This book offers systematic and up-to-date treatment of the whole area of magnetic domains.

This book introduces the MagLev testing method for density measurement and density-based applications of diamagnetic and low-magnetic objects using permanent magnets. The book surveys the most relevant papers on the theory and model of various MagLev methods that have become the foundation to elucidate the principles of MagLev and the conditions for stable levitation. A thorough summary of the improvements demonstrates the applications and potential of the MagLev method in many fields. This book is separated into 11 chapters to present MagLev testing method fully, including a review of the background of MagLev, theories and basic principles of the stable levitation of object, different dimensions of applications of MagLev in the fields of mechanical engineering, chemistry, and bioengineering, and sophisticated applications of manipulation and separation.

Finally Master how to analyze aeromagnetic data with Oasis Montaj software With Two case studies projects included.

This book presents some of the most exciting developments in the field of nuclear magnetic resonance (NMR) : for example, new developments in NMR instrumentation, new magnet technology, RF coil design, the design of novel NMR sensors, and new developments of methods in solution and solid-state NMR. These range from new methods for the fast acquisition of 2D spectrum to NMR studies of molecular interactions in ionic solutions. The book will be a useful reference for practitioners in the field and at the same time will appeal to a broad audience interested in the general area of NMR.

This book discusses the modeling and analysis of magnetic resonance imaging (MRI) data acquired from the human brain. The data processing pipelines described rely on R. The book is intended for readers from two communities: Statisticians who are interested in neuroimaging and looking for an introduction to the acquired data and typical scientific problems in the field; and neuroimaging students wanting to learn about the statistical modeling and analysis of MRI data. Offering a practical introduction to the field, the book focuses on those problems in data analysis for which implementations within R are available. It also includes fully worked examples and as such serves as a tutorial on MRI analysis with R, from which the readers can derive their own data processing scripts.