📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Determining 1D fast-ion velocity distribution functions from ion cyclotron emission data using deep neural networks (2021)

First Author: Schmidt B

Attributed to: Magnetic Research Fusion Programme 2019-2022 funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1063/5.0041456

Publication URI: http://dx.doi.org/10.1063/5.0041456

Type: Journal Article/Review

Parent Publication: Review of Scientific Instruments

Issue: 5