Results 11 to 20 of about 674 (209)
We present an innovative, cost-effective framework integrating laboratory Hyperspectral Imaging (HSI) of the Bechar 010 Lunar meteorite with ground-based lunar HSI and supervised Machine Learning (ML) to generate high-fidelity mineralogical maps.
Fatemeh Fazel Hesar +7 more
doaj +2 more sources
MINERALOGICAL ANALYSIS OF LUNAR ROCK PARTICLES
Mössbauer measurements on 57Fe in a series of LUNA-16 and LUNA-20 coarsegrain (mostly containing two distinct minerals) as well as fine-grain rock fragments have been performed. The diameter of the particles ranges from 0.2 to 0.5 mm ; a device for their reproducible adjustment and centering has been developed.
Zemčík, T., Raclavský, K.
openaire +2 more sources
Identification and quantification of minerals within Apollo samples using LWIR spectroscopy
The mineral composition of the lunar surface is a critical scientific objective, as it provides key insights into the evolution of the Moon. For instance, the variations in Mg-Fe composition of pyroxene solid solution could reveal the Moon’s crustal ...
Wanyue Liu +6 more
doaj +1 more source
LZS-1, Lanzarote (Canary Island, Spain) lunar (Apollo 14) basaltic soil simulant
The search for Terrestrial Analogues is essential for the development of future permanent or semi-permanent lunar bases. Terrestrial Analogues are zones where it is possible to probe not only scientific instruments, but also other astronaut capabilities ...
Fernando Alberquilla +3 more
doaj +1 more source
Constraining the Protoliths of the Apollo Granulite Suite
The Apollo granulite suite represents the metamorphosed products of impact-contaminated polymict and monomict lunar breccias. We combine bulk and mineral major and trace element systematics with noble gas isotopes to constrain the highland lithologies ...
J. F. Pernet-Fisher +4 more
doaj +1 more source
A Spectrophotometric Evaluation of Lunar Catharina Crater Using Support Vector Regression Analysis for FeO and TiO2 Estimations [PDF]
Support Vector Regression (SVR) is an extended version of the Support Vector Machine (SVM) algorithm. It is an effective machine learning tool for handling huge complex data sets. SVR algorithm is introduced to the existing lunar FeO and TiO2 concentrate
A. K. Padinharethodi +3 more
doaj +1 more source
Mineralogy of the lunar crust: Results from Clementine [PDF]
Abstract— The central peaks of 109 impact craters across the Moon are examined with Clementine ultraviolet‐visible (UVVIS) camera multispectral data. The craters range in diameter from 40 to 180 km and are believed to have exhumed material from 5–30 km beneath the surface to form the peaks, including both upper and lower crustal rocks depending on ...
Stefanie TOMPKINS, Carlé M. PIETERS
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ABSTRACT The EAC‐1A lunar mare simulant, a silty sand, was selected by the European Astronaut Center (EAC) for use in the LUNA analogue facility's lunar simulation testbed. Its stress‐ and strain‐dependent shear modulus and damping ratio were determined via resonant column testing on specimens prepared either from ambient moisture material or oven ...
Christos Vrettos
wiley +1 more source
Petrogenesis of Lunar Farside Highland Lithologies: Implications for Lunar Crust Formation
The lunar soil samples collected by the Chang’e-6 (CE-6) mission provide a unique opportunity to study the composition and formation of the lunar crust on the farside of the Moon.
Jiaqi Zheng +10 more
doaj +1 more source
ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang +3 more
wiley +1 more source

