English

Testing a simple recipe for estimating galaxy masses from minimal observational data

Cosmology and Nongalactic Astrophysics 2015-06-04 v1

Abstract

The accuracy and robustness of a simple method to estimate the total mass profile of a galaxy is tested using a sample of 65 cosmological zoom-simulations of individual galaxies. The method only requires information on the optical surface brightness and the projected velocity dispersion profiles and therefore can be applied even in case of poor observational data. In the simulated sample massive galaxies (σ200400\sigma \simeq 200-400 \kms\kms) at redshift z=0z=0 have almost isothermal rotation curves for broad range of radii (RMS 5\simeq 5% for the circular speed deviations from a constant value over 0.5Reff<r<3Reff0.5R_{\rm eff} < r < 3R_{\rm eff}). For such galaxies the method recovers the unbiased value of the circular speed. The sample averaged deviation from the true circular speed is less than 1\sim 1% with the scatter of 58\simeq 5-8% (RMS) up to R5ReffR \simeq 5R_{\rm eff}. Circular speed estimates of massive non-rotating simulated galaxies at higher redshifts (z=1z=1 and z=2z=2) are also almost unbiased and with the same scatter. For the least massive galaxies in the sample (σ<150\sigma < 150 \kms\kms) at z=0z=0 the RMS deviation is 79\simeq 7-9% and the mean deviation is biased low by about 121-2%. We also derive the circular velocity profile from the hydrostatic equilibrium (HE) equation for hot gas in the simulated galaxies. The accuracy of this estimate is about RMS 45\simeq 4-5% for massive objects (M>6.5×1012MM > 6.5\times 10^{12} M_\odot) and the HE estimate is biased low by 34\simeq 3-4%, which can be traced to the presence of gas motions. This implies that the simple mass estimate can be used to determine the mass of observed massive elliptical galaxies to an accuracy of 585-8 % and can be very useful for galaxy surveys.

Keywords

Cite

@article{arxiv.1204.0465,
  title  = {Testing a simple recipe for estimating galaxy masses from minimal observational data},
  author = {N. Lyskova and E. Churazov and I. Zhuravleva and T. Naab and L. Oser and O. Gerhard and X. Wu},
  journal= {arXiv preprint arXiv:1204.0465},
  year   = {2015}
}

Comments

15 pages, 14 figures, 1 table

R2 v1 2026-06-21T20:43:34.205Z