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

Biswas, P and Kalinova, V and Roy, N and Patra, NN and Tyulneva, N (2023) The GMRT archive atomic gas survey - II. Mass modelling and dark matter halo properties across late-type spirals. In: Monthly Notices of the Royal Astronomical Society, 524 (4). pp. 6213-6228.

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Official URL: https://doi.org/10.1093/mnras/stad2285

Abstract

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. 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. © 2023 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.

Item Type: Journal Article
Publication: Monthly Notices of the Royal Astronomical Society
Publisher: Oxford University Press
Additional Information: The copyright for this article belongs to the Authors.
Keywords: 3D modeling; Curve fitting; Density of gases; Gases; Kinematics; Markov processes; Monte Carlo methods; Stars, Atomic gas; Dark matter halos; Galaxies general; Galaxies: fundamental parameters; Galaxies: Kinematics and dynamics; Galaxy:halo; Galaxy:stellar content; Kinematics models; Mass models; Scaling relations, Galaxies
Department/Centre: Division of Physical & Mathematical Sciences > Joint Astronomy Programme
Division of Physical & Mathematical Sciences > Physics
Date Deposited: 08 Nov 2023 05:59
Last Modified: 08 Nov 2023 05:59
URI: https://eprints.iisc.ac.in/id/eprint/83026

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