Emission-line galaxy surveys as probes of the spatial distribution of dwarf galaxies. I. The University of Michigan survey

被引:20
作者
Lee, JC
Salzer, JJ
Law, DA
Rosenberg, JL
机构
[1] Wesleyan Univ, Dept Astron, Middletown, CT 06459 USA
[2] Univ Oxford, Dept Engn, Oxford OX1 3PJ, England
[3] Univ Massachusetts, Dept Phys & Astron, Amherst, MA 01003 USA
关键词
galaxies : clusters : general; galaxies : statistics; large-scale structure of universe;
D O I
10.1086/308967
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Objective-prism surveys which select galaxies on the basis of line-emission are extremely effective at detecting low-luminosity galaxies and constitute some of the deepest available samples of dwarfs. In this study, we confirm that emission-line galaxies (ELGs) in the University of Michigan (UM) objective-prism survey are reliable tracers of large-scale structure, and we utilize the depth of the samples to examine the spatial distribution of low-luminosity (M-B > -18.0) dwarfs relative to higher luminosity giant galaxies (M-B less than or equal to -18.0) in the Updated Zwicky Catalog (UZC). New spectroscopic data are presented for 26 UM survey objects. We analyze the relative clustering properties of the overall starbursting ELG and normal galaxy populations, using nearest neighbor and correlation function statistics. This allows us to determine whether the activity in ELGs is primarily caused by gravitational interactions. We conclude that galaxy-galaxy encounters are not the sole cause of activity in ELGs since ELGs tend to be more isolated and are more often found in the voids when compared to their normal galaxy counterparts. Furthermore, statistical analyses performed on low-luminosity dwarf ELGs show that the dwarfs are less clustered when compared to their nonactive giant neighbors. The UM dwarf samples have greater percentages of nearest neighbor separations at large values and lower correlation function amplitudes relative to the UZC giant galaxy samples. These results are consistent with the expectations of galaxy biasing.
引用
收藏
页码:606 / 622
页数:17
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