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Autores
Orientador(es)
Resumo(s)
The Atacama Large Millimetre Array, located on the homonymous Chilean desert, constitutes one of
the world’s most advanced interferometric observatories. Covering the millimetre and sub-millimetre
wavelengths, the facility supports the needs of an ever-growing community within astronomy and
astrophysics research groups. As it happens with all ground-based astronomical instruments, however,
data storage and exploitation remain an outstanding challenge; while the former can be managed
through technical upgrades to the Array instrumentation, the latter largely depends on how the
archival data is accessed, analysed and presented to the user. Currently, ALMA observations are made
publicly available through the ASA (ALMA Science Archive) online platform. Despite offering
native, metadata-based filtering that can be applied to an observation’s various fields, such as
location, spectral windows or integration time, it is understood that the ASA would benefit from
supplementary tools improving its visualization components, allowing for a more direct assessment of
both the archive’s global state and its more localized clusters (e.g., field density distribution). This
thesis describes the status of an ongoing project within the Institute of Astrophysics and Space
Sciences (IA), foreseeing the development and production of a separate website that provides the user
with a set of data analysis and visualization tools; while other functionalities are predicted to be
included, the platform will mainly focus on the visual plotting of specific regions containing ALMA
observations, enabling the users to directly identify particularly deep regions of the sky. Apart from
allowing for a better scientific exploitation of pre-existing astronomical data through the combination
of interrelated observations, the visualization toolkit may also increase the archive’s appeal and utility
among non-expert users, promoting a larger public engagement with the ESO’s activities; on a longterm basis, it is intended that this platform will come to represent a valuable asset to the ALMA
community.
Descrição
Trabalho de projeto de mestrado, Engenharia Informática (Engenharia de Software), 2022, Universidade de Lisboa, Faculdade de Ciências
Palavras-chave
web computação científica visualização de dados astronomia Trabalhos de projeto de mestrado - 2022
