Astronomy and Astrophysics – Astrophysics
Scientific paper
2001-11-09
Mon.Not.Roy.Astron.Soc. 330 (2002) 443
Astronomy and Astrophysics
Astrophysics
17 pages, accepted for publication in MNRAS. Compressed Postscript version with better resolution figures can be downloaded fr
Scientific paper
10.1046/j.1365-8711.2002.05080.x
We compare two methods for deriving distances to early-type galaxies: fundamental plane (FP) and surface brightness fluctuations (SBF) distances for 170 galaxies. A third set of distances is provided by predictions derived from the density field of the IRAS redshift survey. Overall there is good agreement. However, several nearby, low-luminosity, mainly S0 galaxies have systematically low FP distances; we conclude that this is at least partly due to recent star formation and consequently low mass-to-light ratios. The tie between the Cepheid-calibrated SBF distances (Mpc) and the far-field calibrated FP distances (km/s) yields a Hubble constant H_0 = 68 +/- 3 km/s/Mpc, while the comparison between SBF and the IRAS-reconstructed distances yields H_0 = 74 +/- 2 (internal errorbars). Possible explanations for the marginal inconsistency include systematic errors in the redshift survey completeness estimates or in the FP aperture corrections, but at this point, the best estimate of H_0 from early-type galaxies may be a simple average of the above two estimates. After revising the SBF distances to be in agreement with the final set of Key Project Cepheid distances, we conclude H_0 = 73 +/- 4 +/- 11, where the second errorbar represents the total systematic uncertainty in the distance zero point. We also discuss the recently introduced "fluctuation star count" parameter Nbar as a less demanding alternative to (V-I) for calibrating SBF distances. The Nbar-calibrated SBF method is akin to a hybrid SBF-FP distance indicator, and we find that the use of Nbar actually improves the SBF distances. Further study of Nbar would provide useful constraints for elliptical galaxy formation models. (abridged)
Barris Brian J.
Blakeslee John P.
Hudson Michael J.
Lucey John R.
Narayanan Vijay K.
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