• No results found

VU Research Portal

N/A
N/A
Protected

Academic year: 2021

Share "VU Research Portal"

Copied!
3
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

VU Research Portal

The lunar crust

Martinot, Melissa

2019

document version

Publisher's PDF, also known as Version of record

Link to publication in VU Research Portal

citation for published version (APA)

Martinot, M. (2019). The lunar crust: A study of the lunar crust composition and organisation with spectroscopic data from the Moon Mineralogy Mapper.

General rights

Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain

• You may freely distribute the URL identifying the publication in the public portal ?

Take down policy

If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

E-mail address:

vuresearchportal.ub@vu.nl

(2)

English academic summary

Over the past 50 years, our knowledge of the Moon has grown immensely. Progress in lunar science occurred through several phases. The first phase happened in the 1960s and 70s, during the Apollo and Luna missions, with the study of samples returned from the lunar surface. Petrological characterisation of lunar samples sparked the Lunar Magma Ocean concept, from which ensued the traditional view of the lunar crust and mantle organisation: the crust is plagioclase-rich, and its mafic content increases with increasing depth. The lunar mantle is commonly thought to be olivine-rich, like that of the Earth. The second lunar exploration phase happened in the 1990s, when satellites were launched into lunar orbit, collecting the first global remote sensing datasets. Owing to their wide to global coverage, remote sensing brought new insight into lunar science that is complementary to that provided by lunar samples. During the third, current phase of lunar exploration, new datasets were collected by spacecrafts orbiting the Moon between the 2000s and today. The remote sensing datasets acquired during the second and third phases of lunar exploration progressively complicated the initially simple picture that scientists drew from earlier studies. Indeed, high resolution remote sensing images and radar data led to the identification of volcanic features (domes, irregular mare patches), and the unambiguous discovery of volatiles in permanently shadowed regions and in lunar samples originating at depth in the Moon, demonstrating the Moon’s complex geological history.

During this PhD, impact craters were used as natural drill holes through the lunar crust to sample material located underneath the surface. During impact, rocks from depth are emplaced in crater central peaks through elastic rebound, making it possible to investigate the composition of the crust at depth. Spectroscopic data from Chandrayaan-1’s Moon Mineralogy Mapper instrument were exploited to gather information on the composition of the crust in those central peaks.

In chapter 1, we present an algorithm for processing Moon Mineralogy Mapper spectroscopic data. The algorithm is tested on the mineralogical diversity Humboldt crater in order to validate it. Multiple pure crystalline plagioclase occurrences were detected in Humboldt crater’s central peak, whereas olivine and spinel occurrences possibly linked to a plutonic event were detected in the walls of Humboldt crater.

In chapter 2, we investigate the central peaks and peak rings of 36 craters allegedly sampling material originating between +10 and -20 km around the crust-mantle interface. Our analysis points to the existence of lateral heterogeneities at the crust-mantle interface depth. The vertical transition from crust to mantle material is not sharp, but rather seems gradual. Indeed, although the composition of pyroxene changes with depth from high-calcium to lower calcium contents, plagioclase was widely detected in craters allegedly sampling mantle material.

Chapter 3 shows that the anorthositic Feldspathic Highlands Terrane (FHT-a) crust does not become drasticallymore mafic with depth. However, data hint at a pyroxene compositional change with depth in the FHT-a crust, from high calcium to lower calcium contents. Our findings are in agreement with the recently proposed hypothesis that the lunar upper mantle is rich in low calcium pyroxene, rather than olivine.

(3)

Referenties

GERELATEERDE DOCUMENTEN

Gegeven dat we in Nederland al meer dan twintig jaar micro-economisch structuurbeleid voeren, vraagt men zich af waarom de aangegeven verandering niet eerder plaats vond, op

was widespread in both printed texts and illustrations, immediately comes to mind. Did it indeed reflect something perceived as a real social problem? From the punishment of

Mr Ostler, fascinated by ancient uses of language, wanted to write a different sort of book but was persuaded by his publisher to play up the English angle.. The core arguments

Through electronic funds transfer and attests that we can rely exclusively on the information you supply on ment forms: nic funds transfer will be made to the financial institution

An algebra task was chosen because previous efforts to model algebra tasks in the ACT-R architecture showed activity in five different modules when solving algebra problem;

To give recommendations with regard to obtaining legitimacy and support in the context of launching a non-technical innovation; namely setting up a Children’s Edutainment Centre with

Procentueel lijkt het dan wel alsof de Volkskrant meer aandacht voor het privéleven van Beatrix heeft, maar de cijfers tonen duidelijk aan dat De Telegraaf veel meer foto’s van

Replacing missing values with the median of each feature as explained in Section 2 results in a highest average test AUC of 0.7371 for the second Neural Network model fitted