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Corrections induced by primordial non-Gaussianity to the linear halo bias can be computed from a peak-background split or the widespread local bias model.
M. Kac, On the average number of real roots of a random algebraic equation
1943
Earlier work this paper cites.
S. O. Rice, Mathematical theory of random noise
1945
Earlier work this paper cites.
J. E. Gunn and J. R. I. Gott, On the Infall of Matter Into Clusters of Galaxies and Some Effects on Their Evolution
1972
Earlier work this paper cites.
N. Kaiser, On the spatial correlations of Abell clusters
1984
Earlier work this paper cites.
H. D. Politzer and M. B. Wise, Relations between spatial correlations of rich clusters of galaxies
1984
Earlier work this paper cites.
J. M. Bardeen, J. R. Bond, N. Kaiser, and A. S. Szalay, The statistics of peaks of Gaussian random fields
1986
Earlier work this paper cites.
B. Grinstein and M. B. Wise, Non-Gaussian fluctuations and the correlations of galaxies or rich clusters of galaxies
1986
Earlier work this paper cites.
S. Matarrese, F. Lucchin, and S. A. Bonometto, A path-integral approach to large-scale matter distribution originated by non-Gaussian fluctuations
1986
Earlier work this paper cites.
L. Appel and B. J. T. Jones, The Mass Function in Biased Galaxy Formation Scenarios
1990
Earlier work this paper cites.
F. Bernardeau, The gravity-induced quasi-Gaussian correlation hierarchy
1992
Earlier work this paper cites.
J. N. Fry and E. Gaztanaga, Biasing and hierarchical statistics in large-scale structure
1993
Earlier work this paper cites.
E. Regös and A. S. Szalay, Density and velocity correlations of peaks from random Gaussian fluctuations
1995
Earlier work this paper cites.
T. Matsubara, Diagrammatic Methods in Statistics and Biasing in the Large-Scale Structure of the Universe
1995
Earlier work this paper cites.
R. K. Sheth and G. Tormen, Large-scale bias and the peak background split
1999
Earlier work this paper cites.
T. Matsubara, Statistics of Smoothed Cosmic Fields in Perturbation Theory. I. Formulation and Useful Formulae in Second-Order Perturbation Theory
2003
Earlier work this paper cites.
R. Scoccimarro, E. Sefusatti, and M. Zaldarriaga, Probing primordial non-Gaussianity with large-scale structure
2004
Cited alongside, same era.
P. Creminelli, A. Nicolis, L. Senatore, M. Tegmark, and M. Zaldarriaga, Limits on non-Gaussianities from WMAP data
2006
Cited alongside, same era.
2008
Cited alongside, same era.
2008
Cited alongside, same era.
2008
2010
Later among the works it cites.
2011
Later among the works it cites.
2011
Later among the works it cites.
S. Shandera, N. Dalal, and D. Huterer, A generalized local ansatz and its effect on halo bias
2011
Later among the works it cites.
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Cited alongside, same era.
2008
Cited alongside, same era.
V. Desjacques, Baryon acoustic signature in the clustering of density maxima
2008
Cited alongside, same era.
2009
Cited alongside, same era.
2009
Cited alongside, same era.
2009
Cited alongside, same era.
V. Desjacques and U. Seljak, Primordial Non-Gaussianity in the Large-Scale Structure of the Universe
2010
Cited alongside, same era.
L. Verde, Non-Gaussianity from Large-Scale Structure Surveys
2010
Cited alongside, same era.
2012
Later among the works it cites.
2012
Later among the works it cites.
2012
Later among the works it cites.
2012
Later among the works it cites.
A. Paranjape and R. K. Sheth, Peaks theory and the excursion set approach
2012
Later among the works it cites.
2012
Later among the works it cites.
K. M. Smith, S. Ferraro, and M. LoVerde, Halo clustering and g NL
2012
Later among the works it cites.
2012
Later among the works it cites.
V. Desjacques, Local bias approach to the clustering of discrete density peaks
2013
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C. T. Byrnes and J.-O. Gong, General formula for the running of local f NL
2013
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R. K. Sheth, K. C. Chan, and R. Scoccimarro, Nonlocal Lagrangian bias
2013
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