The Small‐Scale Clustering of Luminous Red Galaxies via Cross‐Correlation Techniques

2005 ◽  
Vol 619 (1) ◽  
pp. 178-192 ◽  
Author(s):  
Daniel J. Eisenstein ◽  
Michael Blanton ◽  
Idit Zehavi ◽  
Neta Bahcall ◽  
Jon Brinkmann ◽  
...  
Keyword(s):  
Cross Correlation ◽  
Small Scale ◽  
Luminous Red Galaxies ◽  
Correlation Techniques ◽  
Red Galaxies

scholarly journals A CROSS-CORRELATION ANALYSIS OF Mg II ABSORPTION LINE SYSTEMS AND LUMINOUS RED GALAXIES FROM THE SDSS DR5

2009 ◽  
Vol 698 (1) ◽  
pp. 819-839 ◽  
Author(s):  
Britt F. Lundgren ◽  
Robert J. Brunner ◽  
Donald G. York ◽  
Ashley J. Ross ◽  
Jean M. Quashnock ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Absorption Line ◽  
Cross Correlation ◽  
Luminous Red Galaxies ◽  
Cross Correlation Analysis ◽  
Red Galaxies

Very Small Scale Clustering and Merger Rate of Luminous Red Galaxies

2006 ◽  
Vol 644 (1) ◽  
pp. 54-60 ◽  
Author(s):  
Morad Masjedi ◽  
David W. Hogg ◽  
Richard J. Cool ◽  
Daniel J. Eisenstein ◽  
Michael R. Blanton ◽  
...  
Keyword(s):  
Small Scale ◽  
Luminous Red Galaxies ◽  
Merger Rate ◽  
Red Galaxies

scholarly journals Cross-Correlation of Planck CMB Lensing with DESI-Like LRGs

2020 ◽  
Author(s):  
Ellie Kitanidis ◽  
Martin White
Keyword(s):  
Large Scale ◽  
Cross Correlation ◽  
Theory Model ◽  
Microwave Background ◽  
Redshift Distribution ◽  
Luminous Red Galaxies ◽  
Bias Model ◽  
Cross Correlations ◽  
Galaxy Bias ◽  
Red Galaxies

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.

scholarly journals MODELING THE VERY SMALL SCALE CLUSTERING OF LUMINOUS RED GALAXIES

2009 ◽  
Vol 709 (1) ◽  
pp. 115-119 ◽  
Author(s):  
Douglas F. Watson ◽  
Andreas A. Berlind ◽  
Cameron K. McBride ◽  
Morad Masjedi
Keyword(s):  
Small Scale ◽  
Luminous Red Galaxies ◽  
Red Galaxies

Infrared Techniques for Measuring Ocean Surface Processes

2008 ◽  
Vol 25 (2) ◽  
pp. 307-326 ◽  
Author(s):  
Fabrice Veron ◽  
W. Kendall Melville ◽  
Luc Lenain
Keyword(s):  
Cross Correlation ◽  
Field Experiments ◽  
Measurement Techniques ◽  
Ocean Surface ◽  
Surface Velocity ◽  
Surface Processes ◽  
Small Scale ◽  
Surface Renewal ◽  
Correlation Techniques ◽  
Infrared Techniques

Abstract Ocean surface processes, and air–sea interaction in general, have recently received increased attention because it is now accepted that small-scale surface phenomena can play a crucial role in the air–sea fluxes of heat, mass, and momentum, with important implications for weather and climate studies. Yet, despite good progress in recent years, the air–sea interface and the adjacent atmospheric and marine boundary layers have proven to be difficult to measure in all but the most benign conditions. This has led to the need for novel measurement techniques to quantify processes of air–sea interaction. Here the authors present infrared techniques aimed at simultaneously studying multiple aspects of the air–sea interface and air–sea fluxes. The instrumentation was tested and deployed during several field experiments from Research Platform (R/P) FLIP and Scripps pier. It is shown that these techniques permit the detailed study of the ocean surface temperature and velocity fields. In particular, it is shown that cross-correlation techniques typically used in particle image velocimetry can be used to infer the ocean surface velocity field from passive infrared temperature images. In addition, when conditions make cross-correlation techniques less effective, an active infrared marking and tracking technique [which will be called thermal marker velocimetry (TMV)] can be successfully used to measure the surface velocity and its spatial and temporal derivatives. The thermal marker velocimetry technique also provides estimates of the heat transfer velocity and surface renewal frequencies. Finally, infrared altimetry is used to complement the temperature and kinematic data obtained from passive imagery and active marking. The data obtained during the testing and deployment of this instrumentation provide a novel description of the kinematics of the surface of the ocean.

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