The Lunar Lander Neutron and Dosimetry (LND) Experiment on Chang’E 4

被引:1
|
作者
Robert F. Wimmer-Schweingruber
Jia Yu
Stephan I. Böttcher
Shenyi Zhang
Sönke Burmeister
Henning Lohf
Jingnan Guo
Zigong Xu
Björn Schuster
Lars Seimetz
Johan L. Freiherr von Forstner
Ali Ravanbakhsh
Violetta Knierim
Stefan Kolbe
Hauke Woyciechowski
Shrinivasrao R. Kulkarni
Bin Yuan
Guohong Shen
Chunqing Wang
Zheng Chang
Thomas Berger
Christine E. Hellweg
Daniel Matthiä
Donghui Hou
Alke Knappmann
Charlotte Büschel
Xufeng Hou
Baoguo Ren
Qiang Fu
机构
[1] Kiel University,Institute of Experimental and Applied Physics
[2] Chinese Academy of Sciences,National Space Science Center
[3] University of Chinese Academy of Sciences,CAS Key Laboratory of Geospace Environment, Dept. of Geophys. & Planet Sci.
[4] Beijing Key Laboratory of Space Environment Exploration,Institute of Aerospace Medicine
[5] University of Science and Technology of China,China Electronics Technology Group Corporation
[6] CAS Center for Excellence in Comparative Planetology,National Astronomical Observatories
[7] German Aerospace Center,undefined
[8] NO,undefined
[9] 18th Research Institute,undefined
[10] Chinese Academy of Sciences,undefined
来源
Space Science Reviews | 2020年 / 216卷
关键词
Space radiation; Moon; Dosimetry; Neutrons; Exploration;
D O I
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学科分类号
摘要
Chang’E 4 is the first mission to the far side of the Moon and consists of a lander, a rover, and a relay spacecraft. Lander and rover were launched at 18:23 UTC on December 7, 2018 and landed in the von Kármán crater at 02:26 UTC on January 3, 2019. Here we describe the Lunar Lander Neutron & Dosimetry experiment (LND) which is part of the Chang’E 4 Lander scientific payload. Its chief scientific goal is to obtain first active dosimetric measurements on the surface of the Moon. LND also provides observations of fast neutrons which are a result of the interaction of high-energy particle radiation with the lunar regolith and of their thermalized counterpart, thermal neutrons, which are a sensitive indicator of subsurface water content.
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