Title

Aluminum Secondary Electron Yield

Description

Accurate modeling of spacecraft charging is essential to mitigate well-known and all-too-common deleterious and costly effects on spacecraft resulting from charging induced by interactions with the space plasma environment. This paper addresses how limited availability of electron emission and transport properties of spacecraft materials—in particular secondary electron yields—and the wide range measured for such properties pose a critical issue for modeling spacecraft charging. It describes a materials charging database being developed, which when used in concert with the strategies outlined herein for best practices for establishing optimized materials properties for spacecraft charging models and specific mission requirements and how these properties may change with prolonged exposure to the space environment, should provide tools for more accurate material selection, increased confidence in charge models, and a concomitant decrease in mission risk.

Document Type

Dataset

DCMI Type

Dataset

File Format

.cvs, .txt

Publication Date

11-11-2019

Funder

NASA Engineering and Safety Center (NESC)

Publisher

Utah State University

Award Number

NASA Engineering and Safety Center (NESC) 1852.245-74.

Methodology

This data was acquired from a number of different sourced either by direct data copy, or by use of the java applet Datathief. The only dat manipulation came in the duplication and division of datasets by their maximum value (Reduced form).

Referenced by

Publication pending.

Language

eng

Code Lists

See README file.

Comments

This data was acquired from a number of different sourced either by direct data copy, or by use of the java applet Datathief. The only dat manipulation came in the duplication and division of datasets by their maximum value (Reduced form).

Disciplines

Physics

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Identifier

https://doi.org/10.26078/8yj7-dk79

Files

Lundgreen_2019_DigitalCommonsREADMEtemplate_v1-2.txt (8 kB)
MD5: c260607ecac2807912d03e76f182b16f

Lundgreen_2019_Space_Weather_Dataset_v1-7.csv (107 kB)
MD5: 35eae08f8e7083a8dd6e3579d38b0969

Lundgreen_2019_Space_Weather_Dataset_v1-7.xlsx (180 kB)
MD5: 65257b7db7051619ac2701c9c8ed25ca

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