Deep learning-based statistical noise reduction for multidimensional spectral data-Reference-Cited by-同舟云学术

Deep learning-based statistical noise reduction for multidimensional spectral data

Published:2021-07-01 Issue:7 Volume:92 Page:073901
ISSN:0034-6748
Container-title:Review of Scientific Instruments
language:en
Short-container-title:Review of Scientific Instruments

Author:

Kim Younsik¹²,Oh Dongjin¹²,Huh Soonsang¹²,Song Dongjoon¹²,Jeong Sunbeom³,Kwon Junyoung¹²,Kim Minsoo¹²^ORCID,Kim Donghan¹²,Ryu Hanyoung¹²,Jung Jongkeun¹²,Kyung Wonshik¹²,Sohn Byungmin¹²,Lee Suyoung¹²,Hyun Jounghoon⁴,Lee Yeonghoon⁴,Kim Yeongkwan⁴,Kim Changyoung¹²^ORCID

Affiliation:

1. Center for Correlated Electron Systems, Institute for Basic Science, Seoul 08826, South Korea

2. Department of Physics and Astronomy, Seoul National University, Seoul 08826, South Korea

3. Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea

4. Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 34141, South Korea

Funder

Institute for Basic Science

Publisher

AIP Publishing

Subject

Instrumentation

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0054920

Reference31 articles.

1. Angle-resolved photoemission studies of the cuprate superconductors

2. Probing the Electronic Structure of Complex Systems by ARPES

3. New developments in laser-based photoemission spectroscopy and its scientific applications: a key issues review

4. Direct 3D mapping of the Fermi surface and Fermi velocity

5. Effects, determination, and correction of count rate nonlinearity in multi-channel analog electron detectors

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