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Unions with UNIONS: Using galaxy-galaxy lensing to probe galaxy mergers

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arxiv 2502.00584 v2 pith:QALARO25 submitted 2025-02-01 astro-ph.GA

classification astro-ph.GA
keywords lensingsamplesstellarhalomassunionscontrolscurrent
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abstract

We use galaxy-galaxy lensing to investigate how the dark matter (DM) haloes and stellar content of galaxies with $0.012 \leq z \leq 0.32$ and $10 \leq \log_{10}(M_\star/\mathrm{M}_\odot) \leq 12$ change as a result of the merger process. To this end, we construct two samples of galaxies obtained from the Ultraviolet Near Infrared Optical Northern Survey (UNIONS), comprising 1 623 post-mergers and $\sim$30 000 non-merging controls, that live in low-density environments to use as our lenses. These samples are weighted to share the same distributions of stellar mass, redshift, and geometric mean distance to a galaxy's three nearest neighbours to ensure differences in the lensing signal are due to the merger process itself. We do not detect a statistically significant difference in the excess surface density profile of post-mergers and non-merging controls with current data. Fitting haloes composed of a point-like stellar mass component and an extended DM structure described by a Navarro-Frenk-White profile to the lensing measurements yields, for both samples, halo masses of $M_\text{halo} \sim 4\times10^{12}\,\mathrm{M}_\odot$ and a moderately negative correlation between $M_\text{halo}$ and concentration $c$. This allows us to rule out, at the 95% confidence level, merger-induced starbursts in which more than 60% of the stellar mass is formed in the burst. The application of our methods to upcoming surveys that are able to provide samples $\sim$10$\times$ larger than our current catalogue are expected to detect the weak-lensing signatures of mergers and further constrain their properties.

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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. Measuring satellite galaxy subhalo masses in redMaPPer clusters with UNIONS weak lensing data

    astro-ph.CO 2026-07 conditional novelty 4.0 of 10

    A large UNIONS weak-lensing sample finds an increasing subhalo-to-stellar-mass ratio with cluster-centric radius in redMaPPer clusters, qualitatively confirming tidal stripping of satellite dark matter halos.

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