CaltechAUTHORS
Published August 20, 2016 | Version Submitted + Published
Journal Article Open

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

Creators

  • 1. ROR icon Leibniz Institute for Astrophysics Potsdam
  • 2. ROR icon Swinburne University of Technology
  • 3. ROR icon University of La Laguna
  • 4. ROR icon Instituto de Astrofísica de Canarias
  • 5. ROR icon University of Groningen
  • 6. ROR icon International Centre for Radio Astronomy Research
  • 7. ROR icon National Autonomous University of Mexico
  • 8. ROR icon Royal Military College of Canada
  • 9. ROR icon Massachusetts Institute of Technology
  • 10. ROR icon California Institute of Technology
  • 11. ROR icon Max Planck Institute for Astronomy
  • 12. ROR icon European Southern Observatory
  • 13. ROR icon Autonomous University of Madrid
  • 14. ROR icon University of Sydney
  • 15. ROR icon Instituto de Astrofísica de Andalucía
  • 16. ROR icon ETH Zurich
  • 17. ROR icon Complutense University of Madrid
  • 18. ROR icon University of Vienna

Abstract

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 < ν_(circ) < 320 km s^(−1) for galaxies of all morphological types at a given rotation velocity. For the low-mass galaxy population (60 < ν_(circ) < 170 km s^(−1), we use the HI Parkes All Sky Survey VF. For the massive galaxy population (170 < ν_(circ) < 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.

Additional Information

© 2016 The American Astronomical Society. Received 2016 May 11; revised 2016 July 22; accepted 2016 August 1; published 2016 August 18. The authors would like to express gratitude to Louis Abramson for kindly providing VF data and for assistance with interpreting it. We sincerely thank the referee for the insightful comments. S.B. acknowledges support from BMBF through the Erasmus-F project (grant number 05 A12BA1) and is grateful to Leibniz-Institut für Astrophysik Potsdam for its hospitality during her guest stay there in 2016. J.F.B. acknowledges support from grant AYA2013-48226-C3-1-P from the Spanish Ministry of Economy and Competitiveness (MINECO). C.J.W. acknowledges support through the Marie Curie Career Integration Grant 303912. S.F.S. thanks the CONACYT-125180 and DGAPA-IA100815 projects for providing support during this study. D.O. thanks the University of Western Australia for its support via a Research Collaboration Award. K.S. acknowledges funding from the Natural Sciences and Engineering Research Council of Canada. This study makes use of the data provided by the Calar Alto Legacy Integral Field Area (CALIFA) survey (http://www.califa.caha.es). This work is based on observations collected at the Centro Astronmico Hispano Alemán (CAHA) at Calar Alto, operated jointly by the Max-Planck-Institut fr Astronomie and the Instituto de Astrofisica de Andalucia (CSIC). CALIFA is the first legacy survey being performed at Calar Alto. We have extensively used the open source data analysis and visualization tools Matplotlib (Hunter 2007) and SciPy (Jones et al. 2001-2015).

Attached Files

Published - apjl_827_2_L36.pdf

Submitted - 1608.01677v1.pdf

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Additional details

Identifiers

Eprint ID
69765
Resolver ID
CaltechAUTHORS:20160819-080306432

Related works

Describes
https://arxiv.org/abs/1608.01677 (URL)

Funding

Bundesministerium für Bildung und Forschung (BMBF)
05 A12BA1
Ministerio de Economía y Competitividad (MINECO)
AYA2013-48226-C3-1-P
Marie Curie Fellowship
303912
Consejo Nacional de Ciencia y Tecnología (CONACYT)
125180
Dirección General Asuntos del Personal Académico (DGAPA)
IA100815
University of Western Australia
Natural Sciences and Engineering Research Council of Canada (NSERC)

Dates

Created
2016-08-22
Created from EPrint's datestamp field
Updated
2021-11-11
Created from EPrint's last_modified field

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