English

Calibration of Scanning Thermal Microscope using Optimal Estimation of Function Parameters by Iterated Linearization

Data Analysis, Statistics and Probability 2025-01-16 v1 Materials Science

Abstract

Scanning thermal microscopy is a unique tool for the study of thermal properties at the nanoscale. However, calibration of the method is a crucial problem. When analyzing local thermal conductivity, direct calibration is not possible and reference samples are used instead. As the calibration dependence is non-linear and there are only a few calibration points, this represents a metrological challenge that needs complex data processing. In this contribution we present use of the OEFPIL algorithm for robust and single-step evaluation of local thermal conductivities and their uncertainties, simplifying this procedure. Furthermore, we test the suitability of SThM calibration for automated measurement.

Keywords

Cite

@article{arxiv.2501.08961,
  title  = {Calibration of Scanning Thermal Microscope using Optimal Estimation of Function Parameters by Iterated Linearization},
  author = {Anna Charvátová Campbell and Petr Klapetek and Radek Šlesinger and Jan Martinek and Václav Hortvík and Viktor Witkovský and Gejza Wimmer},
  journal= {arXiv preprint arXiv:2501.08961},
  year   = {2025}
}
R2 v1 2026-06-28T21:07:26.111Z