Dark matter in ALFALFA galaxies

Aims. This paper aims to investigate the galaxy-halo connection using a large sample of individual galaxies with H <ns0:sc>I</ns0:sc>-integrated spectra. We determined their dark matter content by applying a dynamical method based on H <ns0:sc>I</ns0:sc> line widths measured with the curve-of-growth technique, together with inclination corrections inferred from optical images. Methods. We built a sample of 2453 gas-rich, predominantly late-type galaxies spanning a stellar mass range of 108.7 M⊙ to 1011.4 M⊙ by matching them one-to-one with their counterparts from the ALFALFA survey and the TNG100 simulation, ensuring a direct match of stellar mass and H <ns0:sc>I</ns0:sc> radius. We generated mock images and mock H <ns0:sc>I</ns0:sc>-integrated spectra for TNG100 galaxies, and applied the same dynamical method to both ALFALFA and TNG100 mock galaxies to infer their dark matter masses. Results. Across all stellar mass bins, ALFALFA galaxies exhibit lower median dark matter masses than the mock TNG100 simulation results. In each bin, this offset is driven by a tail of galaxies with comparatively low dark matter content, which becomes more prominent toward higher stellar masses. In the highest mass bin (M* > 1011 M⊙), late-type ALFALFA galaxies show a median dark matter mass that is 23% lower than that of their counterparts in the TNG100 dark-matter-only simulation, with 32% of ALFALFA galaxies having MDM(< RHI) < 1011.5 M⊙, compared to 17% in the mock TNG100 sample. These results suggest that a larger fraction of massive late-type galaxies reside in relatively less massive dark matter haloes than predicted by the TNG100 simulation.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-01-29
DOI
https://doi.org/10.1051/0004-6361/202555983/pdf
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
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article

Dark matter in ALFALFA galaxies

J. Wang, Z. Zheng, R. Cai, M. Yang et al.
Springer Link (Chiba Institute of Technology)
Galaxies: Formation, Evolution, Phenomena
article

Dark matter in ALFALFA galaxies

J. Wang, Z. Zheng, R. Cai, M. Yang, Y. Lei, N. Yu, L. Zhu
article en

Abstract

Aims. This paper aims to investigate the galaxy-halo connection using a large sample of individual galaxies with H <ns0:sc>I</ns0:sc>-integrated spectra. We determined their dark matter content by applying a dynamical method based on H <ns0:sc>I</ns0:sc> line widths measured with the curve-of-growth technique, together with inclination corrections inferred from optical images. Methods. We built a sample of 2453 gas-rich, predominantly late-type galaxies spanning a stellar mass range of 108.7 M⊙ to 1011.4 M⊙ by matching them one-to-one with their counterparts from the ALFALFA survey and the TNG100 simulation, ensuring a direct match of stellar mass and H <ns0:sc>I</ns0:sc> radius. We generated mock images and mock H <ns0:sc>I</ns0:sc>-integrated spectra for TNG100 galaxies, and applied the same dynamical method to both ALFALFA and TNG100 mock galaxies to infer their dark matter masses. Results. Across all stellar mass bins, ALFALFA galaxies exhibit lower median dark matter masses than the mock TNG100 simulation results. In each bin, this offset is driven by a tail of galaxies with comparatively low dark matter content, which becomes more prominent toward higher stellar masses. In the highest mass bin (M* > 1011 M⊙), late-type ALFALFA galaxies show a median dark matter mass that is 23% lower than that of their counterparts in the TNG100 dark-matter-only simulation, with 32% of ALFALFA galaxies having MDM(< RHI) < 1011.5 M⊙, compared to 17% in the mock TNG100 sample. These results suggest that a larger fraction of massive late-type galaxies reside in relatively less massive dark matter haloes than predicted by the TNG100 simulation.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 96%
Galaxies: Formation, Evolution, Phenomena
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Dark matter in ALFALFA galaxies — J. Wang, Z. Zheng, et al. · Springer Link (Chiba Institute of Technology) (2026) | TGRS Research Map | TGRS