From the 1 of 42 papers with an AI index.
16 citations
- Centre National de la Recherche ScientifiqueFR20 papers
- Universidad de Santiago de ChileCL17 papers
- Max Planck Institute for AstronomyDE16 papers
- Université Grenoble AlpesFR16 papers
- Institute of AstronomyRU15 papers
- University of CambridgeGB15 papers
- Galaxies, Etoiles, Physique et InstrumentationFR13 papers
- Institute of Astrophysics and Space SciencesPT13 papers
- Astronomical ObservatoryRS12 papers
- Atacama Large Millimeter Submillimeter ArrayCL12 papers
- California Institute of TechnologyUS12 papers
- Instituto de Astrofísica de CanariasES12 papers
15 papers · 1 filter
Seeing through the dust: Unraveling near-infrared variability in type 2 active galactic nuclei
J. Cerón-Meneses, P. Arévalo, P. Sánchez-Sáez +3
Near-infrared (NIR) variability studies of active galactic nuclei (AGNs) are still limited, as long-term multiepoch monitoring in the NIR is observationally challenging. The depth,…
ODIN: Clustering Properties of Ly Blobs at 2.4 and 3.1
Byeongha Moon, Yujin Yang, Eric Gawiser +18
Spatially extended Ly nebulae, known as Ly blobs (LABs), are a rare population at that are thought to trace proto-groups or the progenitors of massive galaxies in t…
Robust AGN and host-galaxy decomposition in optical spectral fitting
C. Aydar, A. Merloni, G. Zeltyn +24
Unraveling the growth of supermassive black holes and their connection to host galaxies requires disentangling the Active Galactic Nuclei (AGN) emission from that of the stellar po…
The influence of the Cosmic Web on the properties of dwarf galaxies in the Fornax-Eridanus Supercluster
X. Xu, P. Ravichandran, R. F. Peletier +4
We analyze a sample of low surface brightness dwarf galaxies (mu_e,g > 24.2 mag arcsec^-2), detected using interpretable machine learning tools from the DES survey. We use the Tano…
Caught in the web: galaxy mergers along cosmic filaments
Carolina Dulcien, Yara L. Jaffe, Jacob P. Crossett +31
Galaxy clusters grow through the accretion of galaxies from groups, filaments, and other clusters. During this process, galaxies may undergo pre-processing in lower-density environ…
Morphologies for DECaLS Galaxies through a combination of non-parametric indices and machine learning methods: A comprehensive catalog using the Galaxy Morphology Extractor (galmex) code
V. M. Sampaio, Y. Jaffé, C. Lima-Dias +5
Galaxy morphology encodes key information about formation and evolution. Large imaging surveys require automated, reproducible methods beyond visual inspection. Non--parametric ind…