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Andròmeda, la nostra Galà xia Veïna
Andròmeda, la nostra Galàxia Veïn
The Ultraviolet Luminosity Density of the Universe from Photometric Redshifts of Galaxies in the Hubble Deep Field
Studies of the Hubble Deep Field (HDF) and other deep surveys have revealed
an apparent peak in the ultraviolet (UV) luminosity density, and therefore the
star-formation rate density, of the Universe at redshifts 1<z<2. We use
photometric redshifts of galaxies in the HDF to determine the comoving UV
luminosity density and find that, when errors (in particular, sampling error)
are properly accounted for, a flat distribution is statistically
indistinguishable from a distribution peaked at z~1.5. Furthermore, we examine
the effects of cosmological surface brightness (SB) dimming on these
measurements by applying a uniform SB cut to all galaxy fluxes after correcting
them to redshift z=5. We find that, comparing all galaxies at the same
intrinsic surface brightness sensitivity, the UV luminosity density contributed
by high intrinsic SB regions increases by almost two orders of magnitude from
z~0 to z~5. This suggests that there exists a population of objects with very
high star formation rates at high redshifts that apparently do not exist at low
redshifts. The peak of star formation, then, may occur somewhere beyond a
redshift z~>5.Comment: 4 pages total, including 3 embedded figures, to appear in the
proceedings of the Xth Rencontres de Blois, "The Birth of Galaxies." LaTeX
style file include
Recovering the real-space correlation function from photometric redshift surveys
Measurements of clustering in large-scale imaging surveys that make use of
photometric redshifts depend on the uncertainties in the redshift
determination. We have used light-cone simulations to show how the deprojection
method successfully recovers the real space correlation function when applied
to mock photometric redshift surveys. We study how the errors in the redshift
determination affect the quality of the recovered two-point correlation
function. Considering the expected errors associated to the planned photometric
redshift surveys, we conclude that this method provides information on the
clustering of matter useful for the estimation of cosmological parameters that
depend on the large scale distribution of galaxies.Comment: 11 pages, 8 figures. Accepted for publication in MNRA
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