The GLACE (GaLAxy Cluster Evolution) survey represents a groundbreaking effort to explore the evolution of galaxies within galaxy clusters. Using data from the Gran Telescopio de Canarias (GTC), GLACE investigates emission line galaxies (ELGs) and active galactic nuclei (AGN) hosts across various redshifts. Recent observations within the ZwCl 0024

The search for the electromagnetic counterparts to Gravitational Wave (GW) events has been rapidly gathering pace in recent years thanks to the increasing number and capabilities of both gravitational wave detectors and wide field survey telescopes. Difficulties remain, however, in detecting these counterparts due to their inherent scarcity

Context. Solar jets are collimated plasma flows moving along magnetic field lines and are accelerated at low altitude following magnetic reconnection. Several of them originate from anemone-shaped low-lying arcades, and the most impulsive ones tend to be relatively wider and display untwisting motions. Aims: We aim to establish typical behaviours

Gas flows into the centres of galaxies form an important ingredient to the formation, growth and evolution of galaxies. The process of gas falling into the central supermassive black hole (SMBH) can lead to high levels of non-stellar emission which results in an active galactic nucleus (AGN). However, the details of how such gas flows reach the

Aims: Various galaxy merger detection methods have been applied to diverse datasets. However, it is difficult to understand how they compare. Our aim is to benchmark the relative performance of merger detection methods based on machine learning (ML). Methods: We explore six leading ML methods using three main datasets. The first dataset consists of

Machine Learning applications such as the hybrid-CNN (Guigluon et al. 2024) allows to homogeneously combine Gaia RVS spectra, photometry (G, BP, RP), parallaxes and the XP coefficients to obtain precise stellar parameters down to S/N=15. In this contribution, I will focus on the scientific applications and new results facilitated by this machine