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Ravi K. Sheth

Researcher at University of Pennsylvania

Publications -  350
Citations -  45122

Ravi K. Sheth is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Galaxy & Halo. The author has an hindex of 87, co-authored 344 publications receiving 42885 citations. Previous affiliations of Ravi K. Sheth include International Centre for Theoretical Physics & Fermilab.

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Lagrangian bias in the local bias model

TL;DR: In this paper, it is shown that if the Lagrangian bias is local, and the initial conditions are Gaussian, then the two-point cross-correlation between halos and mass should be linearly proportional to the mass-mass auto-correlations.
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Nonlinear Properties and Time Evolution of Gravitational Galaxy Clustering

TL;DR: In this article, the volume integrals of the N-point correlation functions are expressed as functions of the quasi-equilibrium parameter b in a closed from which is exact to all orders of b. The authors show that the ξ N scale as (N/2) N−1 (ξ 2 ) N− 1 for smal b, but break out of this scaling as b evolves.
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The Excursion set approach: Stratonovich approximation and Cholesky decomposition

TL;DR: The excursion set approach is a framework for estimating how the number density of nonlinear structures in the cosmic web depends on the expansion history of the universe and the nature of gravity as discussed by the authors.
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The half mass radius of MaNGA galaxies: Effect of IMF gradients

TL;DR: In this paper , the authors show that a gradient which has larger magnitude in the center increases the estimated total stellar mass (M ∗ ) and reduces the scale which contains half this mass (R e, ∗ ), compared to when the gradient is ignored.
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On the anisotropic density distribution on large scales

TL;DR: In this article, the authors derived a formula for the anisotropic density distribution around haloes and voids on large scales, which is in good agreement with measurements and is consistent with a model in which the alignment is produced by the initial inertia rather than shear tensor.