Master Thesis Online
Mémoire, COLLÉGIALITÉ
Bozet, Quentin 
Promotor(s) :
Sluse, Dominique
;
Delchambre, Ludovic
Date of defense : 27-Jun-2024/28-Jun-2024 • Permalink : http://hdl.handle.net/2268.2/19851
Details
| Title : | Mémoire, COLLÉGIALITÉ |
| Author : | Bozet, Quentin
|
| Date of defense : | 27-Jun-2024/28-Jun-2024 |
| Advisor(s) : | Sluse, Dominique
Delchambre, Ludovic
|
| Committee's member(s) : | Savic, Djordje
Christiaens, Valentin
|
| Language : | English |
| Number of pages : | 71 |
| Discipline(s) : | Physical, chemical, mathematical & earth Sciences > Space science, astronomy & astrophysics |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master en sciences spatiales, à finalité approfondie |
| Faculty: | Master thesis of the Faculté des Sciences |
Abstract
[en] In this work, we investigate the possibility of using machine learning algorithms
to detect strong gravitational lenses. Two classifiers were used to build the models: random forests and extremely randomized trees. We have shown that machine learning models provide accurate and reliable lens detection.
File(s)
Document(s)
Mémoire_Quentin_Bozet_Sciences_Spatiales_Version_Finale.pdf
Description:
Size: 3.01 MB
Format: Adobe PDF
Cite this master thesis
All documents available on MatheO are protected by copyright and subject to the usual rules for fair use.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.