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SquidLab - a user-friendly program for background subtraction and fitting of magnetization data

POSTER

Abstract

We present an open-source program with full user-friendly graphical interface for performing flexible and robust background subtraction and dipole fitting on magnetization data. For magnetic samples with small moment sizes or sample environments with large or asymmetric magnetic backgrounds, it can become necessary to separate background and sample contributions to each measured raw voltage measurement before fitting the dipole signal to extract magnetic moments.

Originally designed for use with pressure cells on an MPMS3 magnetometer, SquidLab is a modular object-oriented platform implemented in Matlab with a range of importers for different widely-available magnetometer systems and has been tested with a broad variety of background and signal types. The software allows background subtraction of baseline signals, signal preprocessing, and performing fits to dipole data. A plugin system allows users to easily extend the built-in functionality with their own importers, processes or fitting algorithms.

 

With over 500 downloads already to a rich variety of labs worldwide - SquidLab is proving an indispensible tool for high-pressure magnetic measurements and a whole host of other applications.

Publication: M.J. Coak, C. Liu, D.M. Jarvis, S. Park, M.J. Cliffe & P.A. Goddard, SquidLab - A user-friendly program for background subtraction and fitting of magnetization data - Review of Scientific Instruments, AIP Publishing, 2020, 91, 023901

Presenters

  • Matthew J Coak

    University of Warwick

Authors

  • Matthew J Coak

    University of Warwick

  • Cheng Liu

    University of Cambridge

  • David M Jarvis

    Institut Laue-Langevin, Univ of Cambridge, Institut Laue Langevin

  • Elizabeth Park

    Harvard University

  • Matthew J Cliffe

    University of Nottingham

  • Paul A Goddard

    Univ of Warwick, University of Warwick