Source:http://linkedlifedata.com/resource/pubmed/id/21529018
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
4
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| pubmed:dateCreated |
2011-5-2
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| pubmed:abstractText |
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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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:status |
PubMed-not-MEDLINE
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| pubmed:month |
Apr
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| pubmed:issn |
1089-7623
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| pubmed:author | |
| pubmed:copyrightInfo |
© 2011 American Institute of Physics
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| pubmed:issnType |
Electronic
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| pubmed:volume |
82
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
043712
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| pubmed:year |
2011
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| pubmed:articleTitle |
A precise method for visualizing dispersive features in image plots.
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| pubmed:affiliation |
Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
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| pubmed:publicationType |
Journal Article
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