Results 51 to 60 of about 292,957 (316)

The K20 survey. IV. The redshift distribution of Ks<20 galaxies: a test of galaxy formation models [PDF]

, 2002
We present the redshift distribution of a complete sample of 480 galaxies with Ks1 and z>1.5 respectively. A ``blind'' comparison is made with the predictions of a set of the most recent LambdaCDM hierarchical merging and pure luminosity evolution (PLE ...
Arimoto, Boselli, Broadhurst, Bruzual, Cimatti, Cohen, Cole, Cole, Cowie, Cowie, Daddi, Daddi, Daddi, Ferguson, Firth, Fontana, Gavazzi, Granato, Kauffmann, Kochanek, Madau, McCracken, Pozzetti, Primack, Renzini, Salpeter, Scalo, Totani   +27 more
core   +2 more sources

Baryon Acoustic Oscillations in 2D: Modeling Redshift-space Power Spectrum from Perturbation Theory [PDF]

, 2010
We present an improved prescription for matter power spectrum in redshift space taking a proper account of both the non-linear gravitational clustering and redshift distortion, which are of particular importance for accurately modeling baryon acoustic ...
A. J. S. Hamilton, Atsushi Taruya, F. Schmidt, J. A. Peacock, J. C. Jackson, K. Yamamoto, N. Kaiser, P. Peebles, S. Cole, S. Cole, Shun Saito, T. Nishimichi, T. Nishimichi, Takahiro Nishimichi, W. E. Ballinger   +14 more
core   +3 more sources

Evolution of the AGN UV luminosity function from redshift 7.5 [PDF]

Monthly notices of the Royal Astronomical Society, 2018
Determinations of the ultraviolet (UV) luminosity function of active galactic nuclei (AGN) at high redshifts are important for constraining the AGN contribution to reionization and understanding the growth of supermassive black holes.
Girish Kulkarni, G. Worseck, J. Hennawi
semanticscholar   +1 more source

Hubble Parameter and Baryon Acoustic Oscillation Measurement Constraints on the Hubble Constant, the Deviation from the Spatially Flat ΛCDM Model, the Deceleration–Acceleration Transition Redshift, and Spatial Curvature [PDF]

, 2017
We compile a complete collection of reliable Hubble parameter H(z) data to redshift z ≤ 2.36 and use them with the Gaussian Process method to determine continuous H(z) functions for various data subsets.
Hai-Bo Yu, Bharat Ratra, Fa-yin Wang
semanticscholar   +1 more source

A massive, quiescent galaxy at a redshift of 3.717 [PDF]

Nature, 2017
Finding massive galaxies that stopped forming stars in the early Universe presents an observational challenge because their rest-frame ultraviolet emission is negligible and they can only be reliably identified by extremely deep near-infrared surveys ...
K. Glazebrook, C. Schreiber, I. Labbé, T. Nanayakkara, G. Kacprzak, P. Oesch, C. Papovich, L. Spitler, C. Straatman, K. Tran, T. Yuan   +10 more
semanticscholar   +1 more source

Leveraging Machine Learning for Photometric Redshift Estimation of JWST Galaxies

Edinburgh Student Journal of Science
With the launch of JWST, the volume and complexity of astronomical data are increasing, a trend that will continue with future instruments such as SKA and Euclid. It is inevitable that data-driven methods will become more prominent alongside model-driven
Julie Kalná, Ryan Begley, Callum Donnan
doaj   +1 more source

Status of racial disparities between black and white women undergoing assisted reproductive technology in the US

Reproductive Biology and Endocrinology, 2020
Background Numerous studies have demonstrated substantial differences in assisted reproductive technology outcomes between black non-Hispanic and white non-Hispanic women. We sought to determine if disparities in assisted reproductive technology outcomes
D. B. Seifer, B. Simsek, E. Wantman, A. M. Kotlyar   +3 more
doaj   +1 more source

Six Peaks Visible in the Redshift Distribution of 46,400 SDSS Quasars Agree with the Preferred Redshifts Predicted by the Decreasing Intrinsic Redshift Model

, 2006
The redshift distribution of all 46,400 quasars in the Sloan Digital Sky Survey (SDSS) Quasar Catalog III, Third Data Release, is examined. Six Peaks that fall within the redshift window below z = 4, are visible.
Bajan K., Bajan K., Box T. C., Burbidge G., D. McDiarmid, Karlsson K. G., Karlsson K. G., Karlsson K. G., Lake R. G., M. B. Bell, Roeder R. C.   +10 more
core   +2 more sources

Hierarchical Bayesian inference of galaxy redshift distributions from photometric surveys [PDF]

, 2016
Accurately characterizing the redshift distributions of galaxies is essential for analysing deep photometric surveys and testing cosmological models.
Leistedt, Boris, Mortlock, Daniel J., Peiris, Hiranya V.   +2 more
core   +2 more sources

Morpho-photometric redshifts [PDF]

Monthly Notices of the Royal Astronomical Society, 2019
ABSTRACT Machine learning (ML) is one of two standard approaches (together with SED fitting) for estimating the redshifts of galaxies when only photometric information is available. ML photo-z solutions have traditionally ignored the morphological information available in galaxy images or partly included it in the form of hand-crafted ...
openaire   +2 more sources