Domain adaptation with an ensemble of CNN and transformer models trained on DES detects 20,180 LSBGs and 434 UDGs in KiDS DR5, with structural parameters and environmental trends consistent with known samples.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
dataset 1
citation-polarity summary
fields
astro-ph.GA 3years
2026 3verdicts
UNVERDICTED 3roles
dataset 1polarities
use dataset 1representative citing papers
Baryonic fraction in certain galaxies correlates with baryonic acceleration as approximately a_bar inverse, placing known dark-matter-deficient galaxies at the high-acceleration extreme and predicting low dark matter content for ultra-diffuse galaxies brighter than 25 mag arcsec^{-2}.
ATTILA tool identifies 24 new ultra-diffuse galaxies in Hydra I, doubling the known population to 48, plus 92 additional low surface brightness galaxies, while recovering over 80% of previously known ones.
citing papers explorer
-
From DES to KiDS: Domain adaptation for cross-survey detection of low-surface-brightness galaxies
Domain adaptation with an ensemble of CNN and transformer models trained on DES detects 20,180 LSBGs and 434 UDGs in KiDS DR5, with structural parameters and environmental trends consistent with known samples.
-
A correlation predicting galaxies without dark matter
Baryonic fraction in certain galaxies correlates with baryonic acceleration as approximately a_bar inverse, placing known dark-matter-deficient galaxies at the high-acceleration extreme and predicting low dark matter content for ultra-diffuse galaxies brighter than 25 mag arcsec^{-2}.
-
Advancing the detection of low surface brightness galaxies. I. ATTILA: multi-tAsking deTecTIon tool for Lsb gAlaxies
ATTILA tool identifies 24 new ultra-diffuse galaxies in Hydra I, doubling the known population to 48, plus 92 additional low surface brightness galaxies, while recovering over 80% of previously known ones.