Bayesian spectroscopy in solid-state photo-physics

I Akai, K Iwamitsu, M Okada - Journal of Physics: Conference …, 2018 - iopscience.iop.org
We propose Bayesian spectroscopy (BS) both for the spectral analyses of optical spectra
and for normal mode analyses of coherent phonon (CP) signals in solid-state materials. In …

Sparse modeling of an extended X-ray absorption fine-structure spectrum based on a single-scattering formalism

I Akai, K Iwamitsu, Y Igarashi, M Okada… - Journal of the Physical …, 2018 - journals.jps.jp
We propose a new method for the analysis of extended X-ray absorption fine structures
(EXAFSs), by the application of sparse modeling using simplified basis functions based on …

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 …

Bayesian inference for plasmonic nanometrology

JM Lukens, A Passian - Physical Review A, 2021 - APS
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 …

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 …

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 …

< 講義ノート> 物性科学研究のためのデータ駆動科学入門

赤井一郎 - 物性研究・電子版, 2020 - repository.kulib.kyoto-u.ac.jp
データ駆動科学は, ベイズ推定やスパースモデリング等の機械学習の手法を計測・解析に組み込み,
従来の知見を超える情報を抽出する取り組みである. これまで科学計測は, 現象の源に原因があり …

[PDF][PDF] データ駆動型手法に基づいた内殻電子励起スペクトル解析法の開発

清原慎 - 2019 - repository.dl.itc.u-tokyo.ac.jp
材料は, 社会基盤を支える最も重要な要素の一つである. 古くは鉄から現代の超電導物質に至る
まで, 新しい材料の開発は社会を一変させる力を持っている. 近年は, 人工知能技術やソーシャル …

[PDF][PDF] MgO 基板に挟まれたCu2O 薄膜結晶における複雑な励起子発光スペクトルのベイズ分光

岩満一功, 有嶋駿士郎, 山代哲也… - 第29 回光物性 …, 2018 - phys.iina.kumamoto-u.ac.jp
We applied Bayesian spectroscopy to study polarization dependence of excitonic
photoluminescence (PL) spectra in a Cu2O thin-crystal sandwiched by paired MgO …