19 citations · 62 across the 13 of their papers we have counts for
15 papers
Towards a consistent framework of determining active galactic nucleus contribution fraction and host galaxy properties
Mi Chen, Lingyu Wang, Berta Margalef-Bentabol +3
Decomposing active galactic nucleus (AGN) emission from host-galaxy light is essential for identifying AGN-dominated systems and accurately deriving host-galaxy physical properties…
The major merger-active galactic nucleus connection up to the cosmic noon
A. La Marca, B. Margalef-Bentabol, L. Wang +3
Galaxy major mergers are a potential mechanism for triggering active galactic nuclei (AGN) activity, but their role remains debated, particularly beyond the local Universe. We aim…
Euclid Quick Data Release (Q1): Euclid spectroscopy of quasars. 1. Identification and redshift determination of 3500 bright quasars
Euclid Collaboration, Y. Fu, R. Bouwens +354
The slitless spectroscopy mode of the NISP onboard Euclid has enabled efficient spectroscopy of objects within a large FoV. We present a large and homogeneous sample of bright quas…
Observationally derived change in the star formation rate as mergers progress
W. J. Pearson, L. Wang, V. Rodriguez-Gomez +2
Galaxy mergers can change the rate at which stars are formed. We can trace when these changes occur in simulations of galaxy mergers. However, for observed galaxies we do not know…
Galactic bars and active galactic nucleus fuelling in the second half of cosmic history
A. La Marca, M. T. Nardone, L. Wang +3
We investigate the role of galactic bars in fuelling and triggering Active Galactic Nucleus (AGN) in disc galaxies up to . We utilise a Deep Learning model, fine-tuned o…
Euclid Quick Data Release (Q1). The active galaxies of Euclid
Euclid Collaboration, T. Matamoro Zatarain, S. Fotopoulou +355
We present a catalogue of candidate active galactic nuclei (AGN) in the Quick Release (Q1) fields. For each source we collect multi-wavelength photometry and spec…
Euclid Quick Data Release (Q1). Active galactic nuclei identification using diffusion-based inpainting of Euclid VIS images
Euclid Collaboration, G. Stevens, S. Fotopoulou +271
Light emission from galaxies exhibit diverse brightness profiles, influenced by factors such as galaxy type, structural features and interactions with other galaxies. Elliptical ga…
Euclid Quick Data Release (Q1). First Euclid statistical study of galaxy mergers and their connection to active galactic nuclei
Euclid Collaboration, A. La Marca, L. Wang +334
Galaxy major mergers are a key pathway to trigger AGN. We present the first detection of major mergers in the Euclid Deep Fields and analyse their connection with AGN. We construct…
Galaxy mergers classification using CNNs trained on Sérsic models, residuals and raw images
D. M. Chudy, W. J. Pearson, A. Pollo +5
Galaxy mergers are crucial for understanding galaxy evolution, and with large upcoming datasets, automated methods such as Convolutional Neural Networks (CNNs) are essential for ef…
Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field
R. Pearce-Casey, B. C. Nagam, J. Wilde +204
The Euclid Wide Survey (EWS) is predicted to find approximately 170 000 galaxy-galaxy strong lenses from its lifetime observation of 14 000 deg^2 of the sky. Detecting this many le…
Dust and Power: Unravelling the merger - active galactic nucleus connection in the second half of cosmic history
A. La Marca, B. Margalef-Bentabol, L. Wang +8
Galaxy mergers represent a fundamental physical process under hierarchical structure formation, but their role in triggering AGNs is still unclear. We aim to investigate the merger…
Determining the time before or after a galaxy merger event
W. J. Pearson, V. Rodriguez-Gomez, S. Kruk +1
Aims. This work aims to reproduce the time before or after a merger event of merging galaxies from the IllustrisTNG cosmological simulation using machine learning. Methods. Images…
Galaxy merger challenge: A comparison study between machine learning-based detection methods
B. Margalef-Bentabol, L. Wang, A. La Marca +14
Various galaxy merger detection methods have been applied to diverse datasets. However, it is difficult to understand how they compare. We aim to benchmark the relative performance…
Object classification with Convolutional Neural Networks: from KiDS to Euclid
G. A. Verdoes Kleijn, C. A. Marocico, Y. Mzayek +11
Large-scale imaging surveys have grown about 1000 times faster than the number of astronomers in the last 3 decades. Using Artificial Intelligence instead of astronomer's brains fo…
A multi-band AGN-SFG classifier for extragalactic radio surveys using machine learning
J. Karsten, L. Wang, B. Margalef-Bentabol +7
Extragalactic radio continuum surveys play an increasingly more important role in galaxy evolution and cosmology studies. While radio galaxies and radio quasars dominate at the bri…