Galaxy clustering in the Two Micron All Sky Redshift Survey | | Posted on:2008-11-09 | Degree:Ph.D | Type:Thesis | | University:Harvard University | Candidate:Westover, Michael | Full Text:PDF | | GTID:2440390005466891 | Subject:Physics | | Abstract/Summary: | PDF Full Text Request | | To make cosmological measurements using the galaxy distribution we must first understand galaxy biasing the way in which the galaxy distribution differs from the underlying matter distribution. Here I present studies of galaxy biasing using the Two Micron All Sky Redshift Survey, a near-infrared selected survey not subject to many of the selection effects that limit other samples. The relationship between galaxy bias and luminosity is steeper for our near-infrared selected sample than it is for optical samples, with b/b * = 0.73 + 0.24L/L*. I found no dependence upon luminosity in the relative bias between early and late morphologically typed galaxies once the mean dependence of bias upon luminosity was removed.;I tested the relative biasing between early- and late-type galaxies using joint counts in cells. I found that a power law biasing model with bPL = 0.86--0.91 was a better fit than linear models. I did not see a significant increase in the quality of the fit when stochasticity was added to the model, in contrast with results from color- and spectral type-selected samples.;I tested the hierarchical scaling hypothesis and confirmed that the scale factors S3, S4, and S5 are independent of scale, as expected for a matter distribution evolved from Gaussian initial perturbations. There was no increase in the scale factors at large cell sizes as seen in some earlier surveys. I also measured the generalized dimensions Dq using a multifractal analysis and found smaller values than have been seen in optically-selected surveys and simulations, indicating that galaxies in the near-infrared selected sample may be more likely to reside in filamentary rather than sheet-like structures. | | Keywords/Search Tags: | Galaxy, Near-infrared selected, Using, Distribution, Biasing | PDF Full Text Request | Related items |
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