4.7 Article

PRECISE TULLY-FISHER RELATIONS WITHOUT GALAXY INCLINATIONS

Journal

ASTROPHYSICAL JOURNAL
Volume 777, Issue 2, Pages -

Publisher

IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/777/2/140

Keywords

distance scale; galaxies: distances and redshifts; galaxies: fundamental parameters; galaxies: kinematics and dynamics; galaxies: spiral; radio lines: galaxies

Funding

  1. UWA Research Collaboration [PG12104401]

Ask authors/readers for more resources

Power-law relations between tracers of baryonic mass and rotational velocities of disk galaxies, so-called Tully-Fisher relations (TFRs), offer a wealth of applications in galaxy evolution and cosmology. However, measurements of rotational velocities require galaxy inclinations, which are difficult to measure, thus limiting the range of TFR studies. This work introduces a maximum likelihood estimation (MLE) method for recovering the TFR in galaxy samples with limited or no information on inclinations. The robustness and accuracy of this method is demonstrated using virtual and real galaxy samples. Intriguingly, the MLE reliably recovers the TFR of all test samples, even without using any inclination measurements-that is, assuming a random sin i-distribution for galaxy inclinations. Explicitly, this inclination-free MLE recovers the three TFR parameters (zero-point, slope, scatter) with statistical errors only about 1.5 times larger than the best estimates based on perfectly known galaxy inclinations with zero uncertainty. Thus, given realistic uncertainties, the inclination-free MLE is highly competitive. If inclination measurements have mean errors larger than 10 degrees, it is better not to use any inclinations than to consider the inclination measurements to be exact. The inclination-free MLE opens interesting perspectives for future Hi surveys by the Square Kilometer Array and its pathfinders.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available