A blind HI mass function from the arecibo ultra-deep survey (AUDS)

61Citations
Citations of this article
23Readers
Mendeley users who have this article in their library.

Abstract

The Arecibo Ultra-Deep Survey (AUDS) combines the unique sensitivity of the telescope with the wide field of the Arecibo L-band Feed Array (ALFA) to directly detect 21 cm HI emission from galaxies at distances beyond the local Universe bounded by the lower frequency limit of ALFA (z = 0.16). AUDS has collected 700 h of integration time in two fields with a combined area of 1.35 deg2. In this paper, we present data from 60 per cent of the total survey, corresponding to a sensitivity level of 80 μJy. We discuss the data reduction, the search for galaxies, parametrization, optical identification and completeness. We detect 102 galaxies in the mass range of log (MHI/M)-2 log h = 5.6-10.3. We compute the HI mass function (HIMF) at the highest redshifts so far measured. A fit of a Schechter function results in α =-1.37 ± 0.03, ϕ* = (7.72 ± 1.4) × 10-3 h3 Mpc-3 and log (M*HI/M⊙) = (9.75 ± 0.041) + 2 log h. Using the measured HIMF, we find a cosmic HI density of ΩHI = (2.33 ± 0.07) × 10-4 h-1 for the sample (z = 0.065).We discuss further uncertainties arising from cosmic variance. Because of its depth, AUDS is the first survey that can determine parameters for the HIMF in independent redshift bins from a single homogeneous data set. The results indicate little evolution of the comoving mass function and ΩHI within this redshift range. We calculate a weighted average for ΩHI in the range 0

Cite

CITATION STYLE

APA

Hoppmann, L., Staveley-Smith, L., Freudling, W., Zwaan, M. A., Minchin, R. F., & Calabretta, M. R. (2015). A blind HI mass function from the arecibo ultra-deep survey (AUDS). Monthly Notices of the Royal Astronomical Society, 452(4), 3726–3741. https://doi.org/10.1093/mnras/stv1084

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free