The large-scale space distribution of emission-line galaxies

Thesis/Dissertation · Mon Jan 01 04:00:00 EST 1990

OSTI ID:6155601

Aldering, G S

The utility of surveys of emission-line galaxies (ELGs) are investigated as an efficient means of studying the space distribution of galaxies on scales between 50 and 500/h Mpc. The motiviation for, and execution of, a narrowband filter survey for ELGs are described. The initial survey results are encouraging, with 32 candidate ELGs being detected within a region of 0.25 square degrees. A fast focal-reducing camera, capable of imaging a 20 x 20 min field onto a TI 800 x 800 CCD on the McGraw-Hill 1.3 meter telescope, was built to improve the efficiency of this survey. The design, construction, and testing of this instrument are discussed. Using newly discovered ELGs from the IRAS Faint Source Survey, the integral and differential counts are examined in an attempt to detect the galaxy underdensity caused by the Bootes Void. Finding the results ambiguous, a redshift survey of IRAS Faint Source Survey galaxies in the Bootes Void was begun. From this survey, the density contrast of the Bootes Void was determined. The fact that the Bootes Void continues to have such a large deficit of galaxies when examined with a filled survey, presents problems for the currently popular Cold Dark Matter cosmogonical model, both in its unbiased and biased forms. In addition, the presence of a sizable population of galaxies in the Bootes Void adds additional weight to the argument that galaxies are biased tracers of the mass distribution, and that some types of galaxies are more biased than others.

• Research Organization: Michigan Univ., Ann Arbor, MI (USA)
• OSTI ID: 6155601
• Country of Publication: United States
• Language: English

Related Subjects

640105* -- Astrophysics & Cosmology-- Galaxies
71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
COSMOLOGICAL MODELS
DATA
DISTRIBUTION
EMISSION SPECTRA
EXPERIMENTAL DATA
GALAXIES
INFORMATION
MASS DISTRIBUTION
MATHEMATICAL MODELS
NUMERICAL DATA
POPULATIONS
RED SHIFT
SPATIAL DISTRIBUTION
SPECTRA