The CALIFA and HIPASS Circular Velocity Function for All Morphological Galaxy Types

Bekeraitė, S.; Walcher, C. J.; Wisotzki, L.; Croton, D. J.; Falcón-Barroso, J.; Lyubenova, M.; Obreschkow, D.; Sánchez, S. F.; Spekkens, K.; Torrey, P.; van de Ven, G.; Zwaan, M. A.; Ascasibar, Y.; Bland-Hawthorn, J.; González Delgado, R.; Husemann, B.; Marino, R. A.; Vogelsberger, M.; Ziegler, B.
Referencia bibliográfica

The Astrophysical Journal Letters, Volume 827, Issue 2, article id. L36, 6 pp. (2016).

Fecha de publicación:
8
2016
Número de autores
19
Número de autores del IAC
1
Número de citas
11
Número de citas referidas
10
Descripción
The velocity function (VF) is a fundamental observable statistic of the galaxy population that is similar to the luminosity function in importance, but much more difficult to measure. In this work we present the first directly measured circular VF that is representative between 60 \lt {v}{circ} \lt 320 km s‑1 for galaxies of all morphological types at a given rotation velocity. For the low-mass galaxy population (60 \lt {v}{circ} \lt 170 km s‑1), we use the HI Parkes All Sky Survey VF. For the massive galaxy population (170 \lt {v}{circ} \lt 320 km s‑1), we use stellar circular velocities from the Calar Alto Legacy Integral Field Area Survey (CALIFA). In earlier work we obtained the measurements of circular velocity at the 80% light radius for 226 galaxies and demonstrated that the CALIFA sample can produce volume-corrected galaxy distribution functions. The CALIFA VF includes homogeneous velocity measurements of both late and early-type rotation-supported galaxies and has the crucial advantage of not missing gas-poor massive ellipticals that HI surveys are blind to. We show that both VFs can be combined in a seamless manner, as their ranges of validity overlap. The resulting observed VF is compared to VFs derived from cosmological simulations of the z = 0 galaxy population. We find that dark-matter-only simulations show a strong mismatch with the observed VF. Hydrodynamic simulations fare better, but still do not fully reproduce observations.