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A precise method for visualizing dispersive features in image plots

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arxiv 1104.1524 v2 pith:H2DKJ7AE submitted 2011-04-08 physics.data-an

P. Zhang , P. Richard , T. Qian , Y.-M. Xu , X. Dai , H. Ding This is my paper · ORCID
classification physics.data-an
keywords methodcurvaturederivativeexperimentalextremaimageplotssecond
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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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  1. The Dirac nodal line network in non-symmorphic rutile semimetal RuO$_2$

    cond-mat.mes-hall 2019-08 reject novelty 5.0 of 10

    Micro-ARPES resolves two predicted Dirac nodal lines in RuO2 and reveals a third band crossing along XR that anchors a flat-band surface state.

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