Virtual experiments in computational magnetism with mag2exp.

Area of Science:

• Computational physics
• Materials science
• Data analysis

Background:

• Computational magnetism simulations, like micromagnetics, produce spatially resolved vector fields.
• Experimental techniques (magnetometry, microscopy, reciprocal space) yield comparable observables.
• Virtual experiments offer economic advantages over physical ones.

Purpose of the Study:

• Introduce mag2exp, a Python package for virtual magnetism experiments.
• Enable simulation of experimental measurements from computational magnetic field data.
• Facilitate economic and efficient scientific exploration.

Main Methods:

• Developed the mag2exp Python package.
• Input: Spatially resolved vector field of magnetization.
• Simulates magnetometry, microscopy, and reciprocal space techniques.

Main Results:

• Obtains simulated observables comparable to experimental measurements.
• Demonstrates the utility of virtual experiments for various research stages.
• Provides a cost-effective alternative to physical experimentation.

Conclusions:

• mag2exp facilitates virtual experimentation in magnetism research.
• The package aids in experimental design, setup optimization, and data interpretation.
• Virtual experiments using mag2exp are economical and efficient.