Presentation Information

[8a-N306-9]Automated Detection of Onset Energies in Photoelectron and Inverse Photoelectron Spectra via Piecewise Polynomial Fitting

〇(M2)Daichi Egami1, Hiroyuki Yoshida1,2 (1.Chiba Univ., 2.Chiba Univ.)

Keywords:

Low-Energy Inverse Photoelectron Spectroscopy (LEIPS),Ultraviolet Photoelectron Spectroscopy (UPS),Automated Spectrum Analysis

Ionization energy and electron affinity are fundamental electronic properties of materials, determined from the onset of ultraviolet photoelectron spectroscopy (UPS) and low-energy inverse photoelectron spectroscopy (LEIPS) spectra, respectively. In this study, we propose an automated detection method in which each spectrum is divided into 0.05–0.5 eV intervals, each interval is fitted with a third-order polynomial, and the onset is defined as the intersection of tangent lines at the points of maximum and minimum slope. Compared to values obtained by experienced analysts, our method achieves an onset determination error of 0.02 eV.