On the Determination of Rotation Velocity and Dynamical Mass of Galaxies Based on Integrated H I Spectra

TL;DR

This paper presents a new method to determine galaxy rotation velocities and dynamical masses from integrated H I spectra, improving accuracy and robustness for large extragalactic surveys.

Contribution

A novel curve of growth-based approach to extract reliable kinematic parameters from H I spectra, enabling precise dynamical mass estimates from integrated data.

Findings

Predicts galaxy rotation velocities within 30 km/s accuracy.

Provides a dynamical mass estimation method with 0.3 dex precision.

Extends mass calibration to dark matter halo scales.

Abstract

The integrated 21 cm H I emission profile of a galaxy encodes valuable information on the kinematics, spatial distribution, and dynamical state of its cold interstellar medium. The line width, in particular, reflects the rotation velocity of the galaxy, which, in combination with a size scale, can be used to constrain the dynamical mass of the system. We introduce a new method based on the concept of the curve of growth to derive a set of robust parameters to characterize the line width, asymmetry, and concentration of the integrated H I spectra. We use mock spectra to evaluate the performance of our method, to estimate realistic systematic uncertainties for the proposed parameters, and to correct the line widths for the effects of instrumental resolution and turbulence broadening. Using a large sample of nearby galaxies with available spatially resolved kinematics, we demonstrate that the newly defined line widths can predict the rotational velocities of galaxies to within an accuracy of $\lesssim 30$ km s$^{-1}$. We use the calibrated line widths, in conjunction with the empirical relation between the size and mass of H I disks, to formulate a prescription for estimating the dynamical mass within the H I-emitting region of gas-rich galaxies. Our formalism yields dynamical masses accurate to $\sim 0.3$ dex based solely on quantities that can be derived efficiently and robustly from current and future extragalactic H I surveys. We further extend the dynamical mass calibration to the scale of the dark matter halo.