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MaNGA AGN dwarf galaxies (MAD). III. The role of mergers and environment in active galactic nucleus activity in dwarf galaxies

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arxiv 2503.03742 v4 pith:KNWK24GV submitted 2025-03-05 astro-ph.GA

classification astro-ph.GA
keywords dwarfgalaxiesmergersblackenvironmentgalaxyactivityfraction
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Investigating whether and how galaxy mergers affect black hole growth can be determinant for black hole-galaxy evolution models and, in particular, for understanding how early Universe seed black holes grew to become supermassive. However, while mergers have been observed to enhance the active galactic nucleus (AGN) activity, and thus black hole growth in massive galaxies, it is yet not known how this relation and the role of the environment translates to dwarf galaxies (the most likely hosts of the early seed black holes), since there are scarce and mixed results in the literature. We want to assess the impact of galaxy mergers and the environment on AGN triggering in dwarf galaxies. We use a sample of 3280 dwarf galaxies with integral-field spectroscopic data from the MaNGA survey to study the AGN fraction throughout the merger process and how it is affected by the environment (characterized by galaxy isolation, being in a void, and group richness). We also compare the fraction of interacting galaxies in AGN and non-AGN dwarf galaxies. We find that dwarf galaxy mergers can ignite AGNs at separations below 20 kpc. The AGN fraction increases notoriously after the first pass and remains enhanced until the final stage. Despite this, mergers are not the dominant AGN triggering mechanism. We also find that the environment has a non-negligible impact on AGN activity in dwarf galaxies, as the AGN fraction increases when moving to lower density environments. These findings provide the most statistically robust constraints to date on the effects of dwarf galaxy mergers and environment on AGN activity and black hole growth.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Performance of morphological classifiers for galaxy mergers compared to current machine learning methods

    astro-ph.GA 2026-07 conditional novelty 5.0 of 10

    Updated G-M20 and G-C morphological cuts achieve ~70% merger precision comparable to ML, with better high-z robustness, but only select pre-mergers.

  2. Morphological Feature Distances Among the Spectral Types of SDSS Galaxies

    astro-ph.GA 2025-04 conditional novelty 4.0 of 10

    AGN and quasar host galaxies have morphological shapes closer to quiescent galaxies than to star-forming ones, with the contrast strongest among dwarf galaxies.

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