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STRUNK FERNÁNDEZ-VILLANUEVA JAN_7999674.pdf (474.12 KB)

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Bachelor thesis

Publication date

2023-06

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cc-by-nc-nd (c) Strunk, 2023
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/201817

3D Modelling of the Large Magellanic Cloud using Markov Chain Monte Carlo

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Abstract

The Large Magellanic Cloud (LMC) is one of the closest galaxies to the Milky Way, at a distance of about 50 kpc. With the latest Gaia Data Release, Gaia DR3, and its unprecedented precision and number of stars, the study of the galaxy can reach new depths. However, the uncertainty in the parallax for LMC stars is of the same order of magnitude of the values themselves, making the use of individual measurements to determine distance and structure unfeasible. In this work we will study the possibility of exploiting DR3 through the use of a Markov-Chain Monte Carlo (MCMC) algorithm. By studying the algorithm’s ability to return parameters used to generate synthetic models of the LMC with varying uncertainties, we will assess the feasibility of the use of Gaia parallaxes in the 3D modelling of the LMC structure.

Description

Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2023, Tutor: Tutors: Xavier Luri, Óscar Jiménez-Arranz

Subject

Núvols de Magalhães, Cadena de Màrkov Monte Carlo, Treballs de fi de grau

Subject (English)

Magellanic Clouds, Markov chain Monte Carlo, Bachelor's theses

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Treballs Finals de Grau (TFG) - Física

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STRUNK FERNÁNDEZ-VILLANUEVA, Jan. 3D Modelling of the Large Magellanic Cloud using Markov Chain Monte Carlo. [consulted: 12 of August of 2026]. Available at: https://hdl.handle.net/2445/201817

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