SquidLab

SquidLab performs advanced analysis of magnetization data to separate background contributions from sample signals and extract magnetic dipole moments.

Key Features:

• Background subtraction and signal processing: Processes raw voltage measurements to separate background contributions from sample signals for accurate analysis of small or weak magnetic moments.
• Dipole fitting capabilities: Supports dipole isolation using Levenberg-Marquardt non-linear least squares and singular value decomposition linear algebra algorithms for noisy and weak signals.
• Modular object-oriented implementation: Implemented in Matlab with a modular, object-oriented architecture to facilitate extension of analytical components.
• Compatibility and importers: Provides importers for magnetometer systems including MPMS, MPMS-XL, MPMS-IQuantum, MPMS3, and S700X.
• Extensibility via plugins: Allows development of custom importers, processing steps, and fitting algorithms through a plugin system.

Scientific Applications:

• Pressure-cell magnetometry on MPMS3: Analysis of measurements involving pressure cells on Quantum Design MPMS3 SQUID magnetometers.
• Small-moment and high-background measurements: Extraction of magnetic moments from samples with small moments or those measured in environments with large or asymmetric magnetic backgrounds.
• General magnetometry data analysis: Precise magnetization measurement and magnetic moment extraction across diverse experimental setups and signal types.

Methodology:

Preprocesses raw voltage measurements to subtract baseline/background signals and then fits processed data using Levenberg-Marquardt non-linear least squares and singular value decomposition for linear problems; implemented in Matlab with a modular object-oriented design and plugin support.