A Deep 20 CM Radio Mosaic of the ESP Galaxy Redshift Survey

1997 ◽  
pp. 353-355
Author(s):  
I. Prandoni ◽  
L. Gregorini ◽  
P. Parma ◽  
G. Vettolani ◽  
H. R. de Ruiter ◽  
...  
Keyword(s):  
Redshift Survey ◽  
Galaxy Redshift

scholarly journals THE DEEP2 GALAXY REDSHIFT SURVEY: THE VORONOI-DELAUNAY METHOD CATALOG OF GALAXY GROUPS

2012 ◽  
Vol 751 (1) ◽  
pp. 50 ◽  
Author(s):  
Brian F. Gerke ◽  
Jeffrey A. Newman ◽  
Marc Davis ◽  
Alison L. Coil ◽  
Michael C. Cooper ◽  
...  
Keyword(s):  
Galaxy Groups ◽  
Redshift Survey ◽  
Galaxy Redshift ◽  
Deep2 Galaxy Redshift Survey

scholarly journals A faint galaxy redshift survey to B=24

1995 ◽  
Vol 273 (1) ◽  
pp. 157-168 ◽  
Author(s):  
K. Glazebrook ◽  
R. Ellis ◽  
M. Colless ◽  
T. Broadhurst ◽  
J. Allington-Smith ◽  
...  
Keyword(s):  
Faint Galaxy ◽  
Redshift Survey ◽  
Galaxy Redshift

scholarly journals The CNOC2 field galaxy redshift survey

1999 ◽  
Vol 357 (1750) ◽  
pp. 167-183 ◽  
Author(s):  
R. G Carlberg ◽  
H. K. C. Yee ◽  
S. L. Morris ◽  
H. Lin ◽  
M. Sawicki ◽  
...  
Keyword(s):  
Redshift Survey ◽  
Galaxy Redshift ◽  
Field Galaxy

scholarly journals FORECASTS OF DARK ENERGY CONSTRAINTS FROM BARYON ACOUSTIC OSCILLATIONS

2010 ◽  
Vol 25 (37) ◽  
pp. 3093-3113 ◽  
Author(s):  
YUN WANG
Keyword(s):  
Dark Energy ◽  
Figure Of Merit ◽  
Real Space ◽  
Number Density ◽  
Acoustic Oscillations ◽  
Energy Constraints ◽  
Redshift Survey ◽  
Galaxy Redshift ◽  
Baryon Acoustic Oscillations ◽  
Systematic Noise

The measurement of baryon acoustic oscillations (BAO) from a galaxy redshift survey provides one of the most promising methods for probing dark energy. In this paper, we clarify the assumptions that go into the forecasts of dark energy constraints from BAO. We show that assuming a constant nP0.2/G2(z) (where P0.2 is the real space galaxy power spectrum at k = 0.2 h/ Mpc and redshift z) gives a good approximation of the observed galaxy number density expected from a realistic flux-limited galaxy redshift survey. We find that assuming nP0.2/G2(z) = 10 gives very similar dark energy constraints to assuming nP0.2 = 3, but the latter corresponds to a galaxy number density larger than ~70% at z = 2. We show how the Figure-of-Merit (FoM) for constraining dark energy depends on the assumed galaxy number density, redshift accuracy, redshift range, survey area, and the systematic errors due to calibration and uncertainties in the theory of nonlinear evolution and galaxy biasing. We find that an additive systematic noise of up to 0.4–0.5% per Δz = 0.1 redshift slice does not lead to significant decrease in the BAO FoM.

scholarly journals Caltech Faint Galaxy Redshift Survey. IX. Source Detection and Photometry in the Hubble Deep Field Region

2000 ◽  
Vol 127 (1) ◽  
pp. 1-9 ◽  
Author(s):  
David W. Hogg ◽  
Michael A. Pahre ◽  
Kurt L. Adelberger ◽  
Roger Blandford ◽  
Judith G. Cohen ◽  
...  
Keyword(s):  
Field Region ◽  
Source Detection ◽  
Faint Galaxy ◽  
Redshift Survey ◽  
Galaxy Redshift ◽  
Hubble Deep Field

scholarly journals The DEEP2 galaxy redshift survey: the evolution of the blue fraction in groups and the field

2007 ◽  
Vol 376 (4) ◽  
pp. 1425-1444 ◽  
Author(s):  
Brian F. Gerke ◽  
Jeffrey A. Newman ◽  
S. M. Faber ◽  
Michael C. Cooper ◽  
Darren J. Croton ◽  
...  
Keyword(s):  
Redshift Survey ◽  
Galaxy Redshift ◽  
Deep2 Galaxy Redshift Survey

Parameterisation of Galaxy Spectra in the 2dF Galaxy Redshift Survey

2006 ◽  
pp. 331-336 ◽  
Author(s):  
Darren Madgwick ◽  
Ofer Lahav ◽  
Keith Taylor ◽  
the 2dFGRS Team
Keyword(s):  
Redshift Survey ◽  
Galaxy Redshift
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