English

A precise method for visualizing dispersive features in image plots

Data Analysis, Statistics and Probability 2011-05-04 v2

Abstract

In order to improve the advantages and the reliability of the second derivative method in tracking the position of extrema from experimental curves, we develop a novel analysis method based on the mathematical concept of curvature. We derive the formulas for the curvature in one and two dimensions and demonstrate their applicability to simulated and experimental angle-resolved photoemission spectroscopy data. As compared to the second derivative, our new method improves the localization of the extrema and reduces the peak broadness for a better visualization on intensity image plots.

Keywords

Cite

@article{arxiv.1104.1524,
  title  = {A precise method for visualizing dispersive features in image plots},
  author = {P. Zhang and P. Richard and T. Qian and Y. -M. Xu and X. Dai and H. Ding},
  journal= {arXiv preprint arXiv:1104.1524},
  year   = {2011}
}

Comments

7 pages, 4 figures. Copyright 2011 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in Review of Scientific Instruments and may be found at http://link.aip.org/link/doi/10.1063/1.3585113

R2 v1 2026-06-21T17:51:14.619Z