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.
Author ORCID Identifier
JR Dennison https://orcid.org/0000-0002-5504-3353
Phillip Lundgreen https://orcid.org/0000-0002-3589-1224
OCLC
1143763718
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.
Disciplines
Physics
License
This work is licensed under a Creative Commons Attribution 4.0 License.
Identifier
https://doi.org/10.26078/8yj7-dk79
Recommended Citation
Dennison, J. R., & Lundgreen, P. (2019) Aluminum Secondary Electron Yield. Utah State University. https://doi.org/10.26078/8YJ7-DK79
Checksum
254885e7e15599adb623cd6b2d7f5c57
Additional Files
README.txt (6 kB)MD5: 84070b29b39ab5d193e17f4450a5728a
Lundgreen_2019_Space_Weather_Dataset_v1-7.csv (107 kB)
MD5: 35eae08f8e7083a8dd6e3579d38b0969
Lundgreen_2019_Space_Weather_Dataset_v1-7.xlsx (180 kB)
MD5: 65257b7db7051619ac2701c9c8ed25ca
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).