STRRINGS: STReams in Residual Images of Nearby GalaxieS

Abstract Tidal features from galaxy mergers, particularly stellar streams, offer valuable insights into galaxy assembly and dark matter halo properties. This paper aims to identify a large sample of nearby stellar streams suitable for detailed modelling and comparison with simulations to enable population-level constraints on halo properties. We visually inspect and compile a tidal feature catalogue for 19,387 galaxies with redshift z ≤ 0.02 from the Siena Galaxy Atlas 2020 using original, model, and residual images from the DESI Legacy Imaging Surveys. Residual images, produced by subtracting models of all sources, enhance the detectability of faint asymmetries such as tidal features. We find that 11.9 ± 0.2% of galaxies host detectable tidal features, more frequently around early-type than late-type galaxies. The tidal feature fraction increases with stellar mass, from 2.4 ± 0.4% at ∼108M⊙ to 36.5 ± 1.2% at ∼5 × 1011M⊙. From this, we present the first release of STRRINGS: STReams in Residual Images of Nearby GalaxieS, a subsample of 35 galaxies with long, narrow streams suitable for modelling. We segment these streams and derive their geometry, surface brightness, colours, and stellar masses. The median g-band surface brightness is 26.8 mag arcsec−2, reaching 27.5 mag arcsec−2 for the faintest stream. Mass ratios are consistent with minor mergers, and we identify five potential dwarf galaxy progenitors. Our streams are typically longer (median 124 kpc) than the literature, with comparable widths. Stream mass correlates with length and colour, and wider streams lie at larger galactocentric radii. STRRINGS will be expanded and used to constrain halo properties in future work.

Publication Details

Journal
Apollo (University of Cambridge)
Published
2025-10-01
DOI
https://doi.org/10.17863/cam.121730
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
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article

STRRINGS: STReams in Residual Images of Nearby GalaxieS

Apollo (University of Cambridge)
Soil Moisture and Remote Sensing
article

STRRINGS: STReams in Residual Images of Nearby GalaxieS

article en

Abstract

Abstract Tidal features from galaxy mergers, particularly stellar streams, offer valuable insights into galaxy assembly and dark matter halo properties. This paper aims to identify a large sample of nearby stellar streams suitable for detailed modelling and comparison with simulations to enable population-level constraints on halo properties. We visually inspect and compile a tidal feature catalogue for 19,387 galaxies with redshift z ≤ 0.02 from the Siena Galaxy Atlas 2020 using original, model, and residual images from the DESI Legacy Imaging Surveys. Residual images, produced by subtracting models of all sources, enhance the detectability of faint asymmetries such as tidal features. We find that 11.9 ± 0.2% of galaxies host detectable tidal features, more frequently around early-type than late-type galaxies. The tidal feature fraction increases with stellar mass, from 2.4 ± 0.4% at ∼108M⊙ to 36.5 ± 1.2% at ∼5 × 1011M⊙. From this, we present the first release of STRRINGS: STReams in Residual Images of Nearby GalaxieS, a subsample of 35 galaxies with long, narrow streams suitable for modelling. We segment these streams and derive their geometry, surface brightness, colours, and stellar masses. The median g-band surface brightness is 26.8 mag arcsec−2, reaching 27.5 mag arcsec−2 for the faintest stream. Mass ratios are consistent with minor mergers, and we identify five potential dwarf galaxy progenitors. Our streams are typically longer (median 124 kpc) than the literature, with comparable widths. Stream mass correlates with length and colour, and wider streams lie at larger galactocentric radii. STRRINGS will be expanded and used to constrain halo properties in future work.

Apollo (University of Cambridge)
Openalex Percentile: Top 52%
Soil Moisture and Remote Sensing
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STRRINGS: STReams in Residual Images of Nearby GalaxieS · Apollo (University of Cambridge) (2025) | TGRS Research Map | TGRS