High-throughput XPS spectrum modeling with autonomous background subtraction for 3d5/2 peak mapping of SnS
T Matsumura, N Nagamura, S Akaho… - … and Technology of …, 2023 - Taylor & Francis
We propose a fitting model that automatically conducts the background subtraction during
high-throughput peak fitting. The fitting model consists of the pseudo-Voigt mixture model …
high-throughput peak fitting. The fitting model consists of the pseudo-Voigt mixture model …
Spectral Analysis of X‐Ray Absorption Near Edge Structure in α‐Fe2O3 Based on Bayesian Spectroscopy
K Iwamitsu, T Yokota, K Murata… - … status solidi (b), 2020 - Wiley Online Library
A Bayesian spectroscopy technique is proposed to decompose weak pre‐edge structures
from an X‐ray absorption near edge structure (XANES) spectrum. This methodology can …
from an X‐ray absorption near edge structure (XANES) spectrum. This methodology can …
Spectral decomposition of components weaker than noise intensity by bayesian spectroscopy
Using Bayesian spectroscopy, we have performed model selection to extract weak spectral
components from an absorption spectrum of a Cu2O thin crystal sandwiched between a pair …
components from an absorption spectrum of a Cu2O thin crystal sandwiched between a pair …
Bayesian spectroscopy of synthesized soft X-ray absorption spectra showing magnetic circular dichroism at the Ni-L3, -L2 edges
T Yamasaki, K Iwamitsu, H Kumazoe… - … and Technology of …, 2021 - Taylor & Francis
We proposed a data-driven science study by Bayesian spectroscopy to analyze an X-ray
magnetic circular dichroism (XMCD) spectrum and magnetic moments. In Bayesian …
magnetic circular dichroism (XMCD) spectrum and magnetic moments. In Bayesian …
Replica-exchange Monte Carlo method incorporating auto-tuning algorithm based on acceptance ratios for effective Bayesian spectroscopy
K Iwamitsu, Y Nishi, T Yamasaki… - Journal of the Physical …, 2021 - journals.jps.jp
To promote the widespread use of Bayesian spectroscopy using a replica-exchange Monte
Carlo (RXMC) method, we proposed an auto-tuning algorithm for step widths (magnitude of …
Carlo (RXMC) method, we proposed an auto-tuning algorithm for step widths (magnitude of …
Bayesian inference for plasmonic nanometrology
We introduce a Bayesian method for the characterization of plasmonic nanoparticles, which
is applicable to both near-and far-field problems. Designed to combine data generated from …
is applicable to both near-and far-field problems. Designed to combine data generated from …
Bayesian Spectroscopy on Polarization Dependent Photoluminescence Spectra of Doubly‐Split Excitons in a Cu2O Thin‐Crystal Sandwiched by MgO Substrates
A Kiridoshi, S Aihara, S Arishima… - … status solidi (b), 2018 - Wiley Online Library
By using Bayesian spectroscopy, we studied polarization dependence of
photoluminescence (PL) spectra in doubly‐split 1S yellow ortho‐excitons in a Cu2O thin …
photoluminescence (PL) spectra in doubly‐split 1S yellow ortho‐excitons in a Cu2O thin …
Bayesian Spectroscopy with a Replica Exchange Monte Carlo Method on an Excitonic Absorption Spectrum of a Cu2O Thin Crystal
To study a bi-axial stress effect in a Cu 2 O thin crystal sandwiched by paired MgO
substrates, we have applied Bayesian spectroscopy to decompose an absorption spectrum …
substrates, we have applied Bayesian spectroscopy to decompose an absorption spectrum …
Model Design in Bayesian Spectral Deconvolution
M Ukita - Journal of the Physical Society of Japan, 2022 - journals.jps.jp
Bayesian spectral deconvolution is a powerful tool for analyzing complex spectra with
overlapping peaks. It can not only decompose the overlapping peaks and estimate …
overlapping peaks. It can not only decompose the overlapping peaks and estimate …
計測と情報を融合するデータ駆動科学アプローチ
赤井一郎， 岩満一功， 熊添博之… - 日本化学会情報化学部会誌, 2020 - jstage.jst.go.jp
データ駆動科学 [1] は, 深層学習 [2], ベイズ推定 [3], スパース・モデリング [4] 等の機械学習 [5]
を駆使し, 計測されたデータを起点として, 様々な科学的研究を深化させる試みである …
を駆使し, 計測されたデータを起点として, 様々な科学的研究を深化させる試みである …