Statistics – Computation
Scientific paper
Nov 1988
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1988a%26a...206..175l&link_type=abstract
Astronomy and Astrophysics (ISSN 0004-6361), vol. 206, no. 2, Nov. 1988, p. 175-189.
Statistics
Computation
22
Computational Astrophysics, Cosmology, Universe, Asymptotic Methods, Cross Correlation, Hubble Diagram, Red Shift
Scientific paper
Astrophysical observations indicate that the universe tends to be locally inhomogeneous and possess components other than nonrelativistic baryonic matter, yet those observations are generally analyzed within the framework of an idealized smooth, dust-filled cosmology. The usual cosmological parameters are generalized to multiple constituent, redshift dependent quantities and investigate the probes of the model provided by astrophysical property versus redshift relations. It is concluded that the volume-redshift (number count) test is the best discriminator between cosmologies, and in particular examine the implications of the Loh-Spillar data. The extent to which the composition of the universe can be determined from this sort of probe is also discussed.
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