CL-AGN host galaxies exhibit a 29% merger fraction (about 2x higher than non-CL-AGN controls) with morphology indicating modest disturbances, based on non-parametric metrics and visual inspection of DESI images.
Title resolution pending
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
fields
astro-ph.GA 4years
2026 4verdicts
UNVERDICTED 4representative citing papers
LAEs at z=2.4-4.5 are smaller and more starbursting than typical SFGs, with Lyα strength correlating negatively with size and positively with Sersic index and recent SFR ratio.
Resolved stellar property gradients in Milky Way analog progenitors show inside-out assembly with minor, temporary disruption from major mergers.
SSL model detects galaxy interaction signatures with recall 0.86 and low contamination while CAS at A>0.35 has recall 0.20 but higher precision, benchmarked on visual classification of 25.1% disturbed fraction.
citing papers explorer
-
Morphology of Optical Changing-Look AGN-host Galaxies: Evidence for an Important Role of Mergers
CL-AGN host galaxies exhibit a 29% merger fraction (about 2x higher than non-CL-AGN controls) with morphology indicating modest disturbances, based on non-parametric metrics and visual inspection of DESI images.
-
ODIN: Rest-frame Optical Morphologies and Star Formation Activity of Ly{\alpha} Emitters at z=2.4, 3.1, and 4.5
LAEs at z=2.4-4.5 are smaller and more starbursting than typical SFGs, with Lyα strength correlating negatively with size and positively with Sersic index and recent SFR ratio.
-
Resolved Ages and Stellar Metallicities in Progenitors of Milky Way Analogs: A Closer Look at their Star Formation Histories since $z=5$
Resolved stellar property gradients in Milky Way analog progenitors show inside-out assembly with minor, temporary disruption from major mergers.
-
Comparison and verification methods to trace interaction-driven disturbances in galaxies
SSL model detects galaxy interaction signatures with recall 0.86 and low contamination while CAS at A>0.35 has recall 0.20 but higher precision, benchmarked on visual classification of 25.1% disturbed fraction.