A precise method for visualizing dispersive features in image plots

P. Zhang; P. Richard; T. Qian; Y. M. Xu; X. Dai; H. Ding

doi:10.1063/1.3585113

A precise method for visualizing dispersive features in image plots

P. Zhang^*, P. Richard, T. Qian, Y. M. Xu, X. Dai, H. Ding

^*Corresponding author for this work

Research output: Contribution to journal › Journal Article › peer-review

256 Citations (Scopus)

Abstract

In order to improve the advantages and the reliability of the second derivative method in tracking the position of extrema from experimental curves, we develop a novel analysis method based on the mathematical concept of curvature. We derive the formulas for the curvature in one and two dimensions and demonstrate their applicability to simulated and experimental angle-resolved photoemission spectroscopy data. As compared to the second derivative, our new method improves the localization of the extrema and reduces the peak broadness for a better visualization on intensity image plots.

Original language	English
Article number	043712
Journal	Review of Scientific Instruments
Volume	82
Issue number	4
DOIs	https://doi.org/10.1063/1.3585113
Publication status	Published - Apr 2011
Externally published	Yes

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10.1063/1.3585113

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title = "A precise method for visualizing dispersive features in image plots",

abstract = "In order to improve the advantages and the reliability of the second derivative method in tracking the position of extrema from experimental curves, we develop a novel analysis method based on the mathematical concept of curvature. We derive the formulas for the curvature in one and two dimensions and demonstrate their applicability to simulated and experimental angle-resolved photoemission spectroscopy data. As compared to the second derivative, our new method improves the localization of the extrema and reduces the peak broadness for a better visualization on intensity image plots.",

author = "P. Zhang and P. Richard and T. Qian and Xu, \{Y. M.\} and X. Dai and H. Ding",

year = "2011",

month = apr,

doi = "10.1063/1.3585113",

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journal = "Review of Scientific Instruments",

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AU - Zhang, P.

AU - Richard, P.

AU - Qian, T.

AU - Xu, Y. M.

AU - Dai, X.

AU - Ding, H.

PY - 2011/4

Y1 - 2011/4

N2 - In order to improve the advantages and the reliability of the second derivative method in tracking the position of extrema from experimental curves, we develop a novel analysis method based on the mathematical concept of curvature. We derive the formulas for the curvature in one and two dimensions and demonstrate their applicability to simulated and experimental angle-resolved photoemission spectroscopy data. As compared to the second derivative, our new method improves the localization of the extrema and reduces the peak broadness for a better visualization on intensity image plots.

AB - In order to improve the advantages and the reliability of the second derivative method in tracking the position of extrema from experimental curves, we develop a novel analysis method based on the mathematical concept of curvature. We derive the formulas for the curvature in one and two dimensions and demonstrate their applicability to simulated and experimental angle-resolved photoemission spectroscopy data. As compared to the second derivative, our new method improves the localization of the extrema and reduces the peak broadness for a better visualization on intensity image plots.

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UR - https://openalex.org/W3104002959

UR - https://www.scopus.com/pages/publications/79955632712

U2 - 10.1063/1.3585113

DO - 10.1063/1.3585113

M3 - Journal Article

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VL - 82

JO - Review of Scientific Instruments

JF - Review of Scientific Instruments

IS - 4

M1 - 043712

ER -

A precise method for visualizing dispersive features in image plots

Abstract

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