5 papers
Bringing Computation to the data: Interoperable serverless function execution for astrophysical data analysis in the SRCNet
Manuel Parra-Royón, Julián Garrido-Sánchez, Susana Sánchez-Expósito +10
Serverless computing is a paradigm in which the underlying infrastructure is fully managed by the provider, enabling applications and services to be executed with elastic resource…
Open Science and Artificial Intelligence for supporting the sustainability of the SRC Network: The espSRC case
J. Garrido, S. Sánchez-Expósito, A. Ruiz-Falcó +11
The SKA Observatory (SKAO), a landmark project in radio astronomy, seeks to address fundamental questions in astronomy. To process its immense data output, approximately 700 PB/yea…
MeerKAT view of Hickson Compact Groups: II. HI deficiency in the core and surrounding regions
A. Sorgho, L. Verdes-Montenegro, R. Ianjamasimanana +25
Hickson compact groups (HCGs) offer an ideal environment for investigating galaxy transformation as a result of interactions. It has been established that the evolutionary sequence…
MeerKAT view of Hickson Compact Groups:I. Data description and release
R. Ianjamasimanana, L. Verdes-Montenegro, A. Sorgho +25
Context: Hickson Compact Groups (HCGs) are dense gravitationally-bound collections of 4-10 galaxies ideal for studying gas and star formation quenching processes. Aims: We aim to u…
Classification of HI Galaxy Profiles Using Unsupervised Learning and Convolutional Neural Networks: A Comparative Analysis and Methodological Cases of Studies
Gabriel Jaimes-Illanes, Manuel Parra-Royon, Laura Darriba-Pol +5
Hydrogen, the most abundant element in the universe, is crucial for understanding galaxy formation and evolution. The 21 cm neutral atomic hydrogen - HI spectral line maps the gas…