Gravity and the Nonlinear Growth of Structure in the Carnegie-Spitzer-IMACS Redshift Survey
Daniel D. Kelson, Louis E. Abramson, Andrew J. Benson, Shannon G., Patel, Stephen A. Shectman, Alan Dressler, Patrick J. McCarthy, John S., Mulchaey, and Rik J. Williams

TL;DR
This paper develops an analytic model for the nonlinear growth of cosmic structures, validated with observational data, providing a new understanding of galaxy evolution and the distribution of density fluctuations.
Contribution
It introduces a Lagrangian-based analytic framework for density growth, validated with survey data, offering a novel exact description of nonlinear structure formation.
Findings
Analytic growth exponents match observational data within uncertainties.
Supports the decoupling of early density fluctuations from cosmic expansion.
Provides the first exact analytic model for nonlinear structure growth applicable to low redshift.
Abstract
A key obstacle to developing a satisfying theory of galaxy evolution is the difficulty in extending analytic descriptions of early structure formation into full nonlinearity, the regime in which galaxy growth occurs. Extant techniques, though powerful, are based on approximate numerical methods whose Monte Carlo-like nature hinders intuition building. Here, we develop a new solution to this problem and its empirical validation. We first derive closed-form analytic expectations for the evolution of fixed percentiles in the real-space cosmic density distribution, {\it averaged over representative volumes observers can track cross-sectionally\}. Using the Lagrangian forms of the fluid equations, we show that percentiles in ---the density relative to the median---should grow as , where and for Newtonian…
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