Visualizing Magnetic Fields Software Download
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Ever since I got my first magnet implant, I've been obsessed with magnetic fields. I wanted a way to share the fields that I sense with other people. My idea is to visualize magnetic fields through a light painting wearable. When a magnetic field is detected with a GMR sensor, a NeoPixel stick will light up to represent the field strength, and when photographed using long exposure you can visualize different strengths of the field. The way the NeoPixels lights up can be reprogrammed to create several interesting effects (blinking, colors, number of pixels lit up, etc...) to create visually interesting combinations.
In this Instructable you'll learn how to order, fabricate, program, and assemble your own light painting wearable to visualize magnetic fields. The functionality of the device is also pretty open-ended so that you can add different sensors or different types of Neopixels for more light painting possibilities!
Magcam's hardware, software, and service work closely together to thoroughly measure, visualize, and analyze the three-dimensional magnetic field of permanent magnets. Regardless of magnets' types, sizes, and shapes, Magcam has solutions.
Dive into the details of your magnets with Magcam's technology. More than 16000 sensors are integrated into the magnetic field camera. Each sensor independently measures the magnet's magnetic field, resulting in a 3-axis magnetic field distribution map. Magcam's MagScope software can derive important magnetic field characteristics from the collected measurement data for in-depth analysis.
Magcam's powerful software thoroughly analyses the collected magnetic field data and visualizes the magnetic field in 2D or 3D. It features a vast library of advanced analysis functions for a complete analysis of permanent magnets, permanent magnet rotors, or magnetic assemblies.
Sylvain Gravel is a research scientist at IREQ. Gravel, a theoretical physicist, has worked at IREQ since 1980, first as a graduate student and later as a full-time researcher. Over the years Gravel has been involved in modeling and simulation of physical phenomena related to lightning, electric fields in dielectrics, thermonuclear fusion (tokamak), hybrid vehicle dynamics, high-efficiency in-wheel motors, astrodynamics, HV lines de-icing and computational electromagnetics.
Gravel uses Tecplot 360 almost exclusively for its 3D capabilities, iso-surfaces, 3D contouring, slicing planes and 3D arrow plots on zone geometries and mainly for electric, magnetic and thermal simulations. He also uses the software to create animations of certain physical parameters to get a better understanding of their dynamics.
The World Magnetic Model is the standard model used by the U.S. Department of Defense, the U.K. Ministry of Defence, the North Atlantic Treaty Organization (NATO) and the International Hydrographic Organization (IHO), for navigation, attitude and heading referencing systems using the geomagnetic field. It is also used widely in civilian navigation and heading systems. The model, associated software, and documentation are distributed by NCEI on behalf of NGA. The model is produced at 5-year intervals, with the current model expiring on December 31, 2024.
With the recent increased availability of ultra-high field (UHF) magnetic resonance imaging (MRI), substantial progress has been made in visualizing the human brain, which can now be done in extraordinary detail. This review provides an extensive overview of the use of UHF MRI in visualizing the human subcortex for both healthy and patient populations. The high inter-subject variability in size and location of subcortical structures limits the usability of atlases in the midbrain. Fortunately, the combined results of this review indicate that a large number of subcortical areas can be visualized in individual space using UHF MRI. Current limitations and potential solutions of UHF MRI for visualizing the subcortex are also discussed.
The visualization of small subcortical structures benefits from UHF for a number of reasons. The first is the linear increase of signal-to-noise ratio (SNR) with field strength (McRobbie et al. 2006; Robitaille and Berliner 2007; Duyn 2012; van der Zwaag et al. 2015; Pohmann et al. 2015). This increased SNR can be used to improve the spatial resolution and visualize fine grained details due to reduced partial volume effects (PVE) (Lüsebrink et al. 2013; Federau and Gallichan 2016). Further, UHF MRI can provide increased T1-contrast between grey and white matter (van der Zwaag et al. 2015). Similarly, T2* differences tend to be larger at 7T than at lower fields, leading to larger contrasts which has been used for the identification of anatomical borders between the substantia nigra (SN) and STN which were previously challenging to visualize (Dula et al. 2010; Abosch et al. 2010; Cho et al. 2011b). Finally, the g-factor penalties in the middle of the brain are lower on 7T than on 3T, which means that higher acceleration factors can be achieved on 7T with a smaller SNR loss than on 3T (Wen et al. 2015). These advantages of UHF MRI make it a powerful tool for visualizing small nuclei in vivo.
The protostellar phase is an early stage in the process of star formation. For a one solar-mass star it lasts about 100,000 years. It starts with a core of increased density in a molecular cloud and ends with the formation of a T Tauri star, which then develops into a main sequence star. The dataset produced from the jet simulation has about 1300 time steps, total about 20TB data in storage. The movie image sequence is produced at LSU HPC resources, using parallel visualization software VisIt, developed by Lawrence Livermore National Lab (LLNL). The density of the expanding jet cloud is visualized by volume rendering with transparency, and the rovolving magnetic field is depicted by animated streamlines computed from the vector field.
Magpylib is a Python package for calculating 3D static magnetic fields of magnets, line currents and other sources. The computation is based on analytical expressions and therefore extremely fast. A user friendly geometry API enables convenient relative positioning between sources and observers.
Applications: SIMION is suitable for a wide variety ofsystems involving 2D or 3D, static low-frequency (MHz) RF fields: fromion flight through simple electrostatic and magnetic lenses toparticle guns to highly complex instruments, including time-of-flight,ion traps, RF quadrupoles, ICR cells, and other MS, ion source anddetector optics.
Audience: No program can be all things to all people.SIMION is aimed at a wide audience, with extensive use in bothacademia and industry, including by most of the major mass specmanufacturers. SIMION is positioned as an affordable package thatnevertheless provides solid implementations of many core capabilities(listed below), even a choice among multiple approaches (as whendefining geometries). The program uses direct methods such asfinite-difference that are straightforward to apply but are alsooptimized and extended, making SIMION suitable for a wide variety ofreal-world systems. The methods are interactive to promoteunderstanding, allowing you to adjust parameters during the simulationand immediately visualize the resultant fields and trajectories. Thesoftware is programmable, allowing users to extend and automatethe capabilities in novel ways. It is also substantiallydocumented. It runs on Windows and Linux.What SIMION is not: SIMION's scope does not, at leastcurrently in itself cover high-frequency (HF) radiation problems andcertain more advanced types of magnetic problems, though these areexpanding. For example, space-charge limited cathode emission,secondary emissions on curved surfaces, and certain fine geometries inBEM are really the realm of CPO. Some FEM packagesgo more into other physical areas beyond the scope of the particleoptics focus of SIMION 8.1. There is, however, the possibility to useSIMION with these other programs.
Thermoelastic optical-indicator microscopy (TEOIM) is another optical method for visualizing MWNF distribution. This paper presents the applications and methods of TEOIM, and the main focus is placed on a new type of optical indicators (OI), which are based on the metastructure. The previous publications of this TEOIM system include detailed information about the working principles and image processing methods26. Recently, it was shown that the TEOIM visualization system is applicable to a medical environment and is a promising tool for diagnosis for biological samples27. Simple indium-tin-oxide (ITO)-coated glasses are excellent indicators for a magnetic field visualization, but for electric field visualization, it is hard to find and fabricate indicators having high dielectric losses for visualizing the electric field. The current research presents an easy solution for this kind of indicators, and it is based on the periodic structure. For electric field visualization, the meander chain metasurface (MCM) was designed using ITO glasses. These designed metasurface-based indicators are able to visualize |Ex| and |Ey| components of the in-plane electric field separately.
Visualized and simulated distributions of the electric and magnetic fields of LPF. The first row represents the visualized and simulated results for in-plane magnetic field distributions (|Hin-plane|) using ITO glass indicator at (a) 3 GHz and (b) 4 GHz. (c) Simulation result corresponding to (b). The second row represents the visualized and simulated results for the x-component of electric field distribution (|Ex|) using MCMx-metasurface at (d) 3 GHz and (e) 4 GHz. (f) Simulation result corresponding to (e). The third row represents the visualized and simulated results for the y-component of electric field distribution (|Ey|) using MCMy-metasurface at (g) 3 GHz and (h) 4 GHz. (i) Simulation result corresponding to (h). The fourth row represents the calculated and simulated results for the in-plane electric field distribution (|Ein-plane|) at (j) 3 GHz and (k) 4 GHz. (l) Simulation result corresponding to (k). 2b1af7f3a8