Evidence map›Paper›PMID 33415182›Full record

ArticleStructural dynamics (Melville, N.Y.)2020

Direct imaging of plasma waves using ultrafast electron microscopy.

Shuaishuai Sun, Xiaoyi Sun, Daniel Bartles, Elliot Wozniak, Joseph Williams, Peng Zhang, Chong-Yu Ruan

Abstract read
In one paragraph

Article in Structural dynamics (Melville, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shuaishuai SunDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA.ORCID https://orcid.org/0000-0002-9363-3901
Xiaoyi SunDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA.
Daniel BartlesDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA.
Elliot WozniakDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA.
Joseph WilliamsDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA.
Peng ZhangDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, USA.ORCID https://orcid.org/0000-0003-0606-6855
Chong-Yu RuanDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA.ORCID https://orcid.org/0000-0002-0166-4015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A femtosecond plasma imaging modality based on a new development of ultrafast electron microscope is introduced. We investigated the laser-induced formation of high-temperature electron microplasmas and their subsequent non-equilibrium evolution. Based on a straightforward field imaging principle, we directly retrieve detailed information about the plasma dynamics, including plasma wave structures, particle densities, and temperatures. We discover that directly subjected to a strong magnetic field, the photo-generated microplasmas manifest in novel transient cyclotron echoes and form new wave states across a broad range of field strengths and different laser fluences. Intriguingly, the transient cyclotron waves morph into a higher frequency upper-hybrid wave mode with the dephasing of local cyclotron dynamics. The quantitative real-space characterizations of the non-equilibrium plasma systems demonstrate the feasibilities of a new microscope system in studying the plasma dynamics or transient electric fields with high spatiotemporal resolutions.

Identifiers

PMID33415182
PMCPMC7772000

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.