scholarly journals Measuring the halo mass of Mg II absorbers from their cross-correlation with Luminous Red Galaxies

2005 ◽  
Vol 1 (C199) ◽  
pp. 403-405
Author(s):  
Nicolas Bouché ◽  
M. T. Murphy ◽  
C. Péroux ◽  
I. Csabai
2009 ◽  
Vol 698 (1) ◽  
pp. 819-839 ◽  
Author(s):  
Britt F. Lundgren ◽  
Robert J. Brunner ◽  
Donald G. York ◽  
Ashley J. Ross ◽  
Jean M. Quashnock ◽  
...  

2005 ◽  
Vol 619 (1) ◽  
pp. 178-192 ◽  
Author(s):  
Daniel J. Eisenstein ◽  
Michael Blanton ◽  
Idit Zehavi ◽  
Neta Bahcall ◽  
Jon Brinkmann ◽  
...  

Author(s):  
Ellie Kitanidis ◽  
Martin White

Abstract Cross-correlations between the lensing of the cosmic microwave background (CMB) and other tracers of large-scale structure provide a unique way to reconstruct the growth of dark matter, break degeneracies between cosmology and galaxy physics, and test theories of modified gravity. We detect a cross-correlation between DESI-like luminous red galaxies (LRGs) selected from DECaLS imaging and CMB lensing maps reconstructed with the Planck satellite at a significance of S/N = 27.2 over scales ℓmin = 30, ℓmax = 1000. To correct for magnification bias, we determine the slope of the LRG cumulative magnitude function at the faint limit as s = 0.999 ± 0.015, and find corresponding corrections on the order of a few percent for $C^{\kappa g}_{\ell }, C^{gg}_{\ell }$ across the scales of interest. We fit the large-scale galaxy bias at the effective redshift of the cross-correlation zeff ≈ 0.68 using two different bias evolution agnostic models: a HaloFit times linear bias model where the bias evolution is folded into the clustering-based estimation of the redshift kernel, and a Lagrangian perturbation theory model of the clustering evaluated at zeff. We also determine the error on the bias from uncertainty in the redshift distribution; within this error, the two methods show excellent agreement with each other and with DESI survey expectations.


2005 ◽  
Vol 72 (4) ◽  
Author(s):  
Nikhil Padmanabhan ◽  
Christopher M. Hirata ◽  
Uroš Seljak ◽  
David J. Schlegel ◽  
Jonathan Brinkmann ◽  
...  

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