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Data sources: Datacite
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Dataset . 2021
License: CC BY
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Data for "Transient Density-Induced Dipolar Interactions in a Thin Vapor Cell"

Authors: Christaller, Florian; Mäusezahl, Max; Moumtsilis, Felix; Belz, Annika; Kübler, Harald; Alaeian, Hadiseh; Adams, Charles S.; +2 Authors

Data for "Transient Density-Induced Dipolar Interactions in a Thin Vapor Cell"

Abstract

Data for "Transient Density-Induced Dipolar Interactions in a Thin Vapor Cell" as .npz files. The "datasets.csv" file lists, where each dataset is used in the journal publication. Additionally, there are two Python scripts (.py) which show how to load and plot a dataset. The dataset can be selected by changing the file name string in the script. Note, that for loading and plotting the simulation dataset the "plot_simulation.py" script has to be used.

Keywords

Transient dipolar interaction, Light-induced atomic desorption, Micro-cell, Dipolar interaction, Nanosecond, Atomic physics, Rubidium vapor

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
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4
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