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K. Nagata

17 papers hereh-index 17847 citations139 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author16

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • physics.data-an5
  • stat.ME4
  • cond-mat.dis-nn2
  • physics.comp-ph2
  • cs.LG1
  • eess.SP1
same name
  • K. Nagata — 45 papers, h 15
  • K. Nagata — 32 papers
  • K. Nagata — 25 papers, h 14
  • K. Nagata — 24 papers
  • K. Nagata — 17 papers
  • K. Nagata — 12 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102026
most citedSimultaneous Estimation of Noise Variance and Number of Peaks in Bayesian Spectral Deconvolution

52 citations · 98 across the 17 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

stat.ME2022

Bayesian Inference of Absorption Spectra Based on Binomial Distribution

Tomohiro Nabika, Kenji Nagata, Shun Katakami +2

In this paper, we propose a Bayesian spectral deconvolution method for absorption spectra. In conventional analysis, the noise mechanism of absorption spectral data is never consid…

physics.comp-ph2022

Bayesian Inference on Hamiltonian Selections for Mössbauer Spectroscopy

Ryota Moriguchi, Satoshi Tsutsui, Shun Katakami +3

Mössbauer spectroscopy, which provides knowledge related to electronic states in materials, has been applied to various fields such as condensed matter physics and material science…

stat.ME2022★ 7 cited

Bayesian Spectral Deconvolution of X-Ray Absorption Near Edge Structure Discriminating High- and Low-Energy Domains

Shuhei Kashiwamura, Shun Katakami, Ryo Yamagami +6

In this paper, we propose a Bayesian spectral deconvolution considering the properties of peaks in different energy domains. Bayesian spectral deconvolution regresses spectral data…

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