Visualizing dispersive features in 2D image via minimum gradient method

He, Yu; Wang, Yan; Shen, Zhi -Xun

doi:10.1063/1.4993919

Title: Visualizing dispersive features in 2D image via minimum gradient method

Journal Article · Mon Jul 24 00:00:00 EDT 2017 · Review of Scientific Instruments

DOI:https://doi.org/10.1063/1.4993919· OSTI ID:1390307

He, Yu ^[1];

^[2]; Shen, Zhi -Xun ^[1]

SLAC National Accelerator Lab., Menlo Park, CA (United States); Stanford Univ., Stanford, CA (United States)
Stanford Univ., Stanford, CA (United States)

Here, we developed a minimum gradient based method to track ridge features in a 2D image plot, which is a typical data representation in many momentum resolved spectroscopy experiments. Through both analytic formulation and numerical simulation, we compare this new method with existing DC (distribution curve) based and higher order derivative based analyses. We find that the new method has good noise resilience and enhanced contrast especially for weak intensity features and meanwhile preserves the quantitative local maxima information from the raw image. An algorithm is proposed to extract 1D ridge dispersion from the 2D image plot, whose quantitative application to angle-resolved photoemission spectroscopy measurements on high temperature superconductors is demonstrated.

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Research Organization:: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC02-76SF00515

OSTI ID:: 1390307

Alternate ID(s):: OSTI ID: 1372410

Journal Information:: Review of Scientific Instruments, Vol. 88, Issue 7; ISSN 0034-6748

Publisher:: American Institute of Physics (AIP)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 11 works

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Cited By (2)

Photoemission signature of excitons Rustagi, Avinash; Kemper, Alexander F. Physical Review B, Vol. 97, Issue 23 https://doi.org/10.1103/physrevb.97.235310	journal	June 2018
Photoemission signature of excitons Rustagi, Avinash; Kemper, Alexander F. arXiv https://doi.org/10.48550/arxiv.1802.07270	text	January 2018

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