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Title: The GMRT archive atomic gas survey – II. Mass modelling and dark matter halo properties across late-type spirals

Journal Article · · Monthly Notices of the Royal Astronomical Society
 [1];  [2];  [1];  [3];  [2]
  1. Indian Institute of Science, Bangalore (India)
  2. Max Planck Institute for Radioastronomy, Bonn (Germany)
  3. Indian Institute of Technology Indore (India)

Studying the kinematics and mass modelling of galaxies from H i 21 cm data provides valuable insights into the properties of both the baryonic components and the dark matter halo in nearby galaxies. Despite many observational studies, mass modelling of galaxies remains challenging due to different limitations. For example, most of the previous studies involving mass modelling are based on rotation curves derived from 2D velocity fields from H i or H α spectroscopic observation which are often affected by beam smearing and projection effect. However, kinematic modelling done by fitting the ‘Tilted ring model’ to 3D data cube is not affected by these issues. In this study, we present and compare 3D kinematic modelling of a pilot sample of 11 galaxies from the GMRT archive atomic gas survey (GARCIA) using two different publicly available pipelines. We model the observed H i rotation curve using 3.6-μm infrared data and SDSS r-band data for stellar contribution, H i surface density profile for gas, and Navarro–Frenk–White profile for dark matter halo; and employ the Markov chain Monte Carlo optimization method for parameter estimation. Further, to validate our analysis, we revisit important scaling relations, e.g. the Mgas–Mstar relation, Mstar–Mhalo relation, Mgas–Mhalo relation and Baryonic Tully–Fisher relation. Here, the scaling relations from our analysis are broadly consistent with that reported in the literature. A larger sample of galaxies from GARCIA in the near future will allow studying these scaling relations in greater details.

Research Organization:
US Department of Energy (USDOE), Washington, DC (United States). Office of Science, Sloan Digital Sky Survey (SDSS)
Sponsoring Organization:
Alfred P. Sloan Foundation; JPL; Max Planck Society; NASA/IPAC Extragalactic Database (NED); National Aeronautics and Space Administration (NASA); National Science Foundation (NSF); Tata Institute of Fundamental Research; USDOE
OSTI ID:
1994218
Journal Information:
Monthly Notices of the Royal Astronomical Society, Journal Name: Monthly Notices of the Royal Astronomical Society Journal Issue: 4 Vol. 524; ISSN 1365-2966; ISSN 0035-8711
Publisher:
Oxford University PressCopyright Statement
Country of Publication:
United States
Language:
English

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