Maximum a posteriori estimation for high-throughput peak fitting in X-ray photoelectron spectroscopy

oleh: Tarojiro Matsumura, Naoka Nagamura, Shotaro Akaho, Kenji Nagata, Yasunobu Ando

Format: Article
Diterbitkan: Taylor & Francis Group 2024-12-01

Deskripsi

We introduce a peak fitting method to estimate the model parameters and the number of peaks without using the conventional trial-and-error approach. The proposed method automatically removes excess peaks using maximum a posteriori estimation. The computation is performed efficiently by the spectrum-adapted expectation–conditional maximisation algorithm with deterministic annealing. We apply the proposed method to synthetic and experimental data from a tunnel field-effect transistor. The proposed method identified two peak components in the experimental data from a [Formula: see text] sheet, which are interpreted to be the Mo [Formula: see text] and Mo [Formula: see text] peaks. No peaks were detected on the [Formula: see text]-[Formula: see text] sheet and hexagonal boron nitride ([Formula: see text]-BN) within the measured binding energy range.