Large-N expansions applied to gravitational clustering
نویسنده
چکیده
We develop a path-integral formalism to study the formation of large-scale structures in the universe. Starting from the equations of motion of hydrodynamics (single-stream approximation) we derive the action which describes the statistical properties of the density and velocity fields for Gaussian initial conditions. Then, we present large-N expansions (associated with a generalization to N fields or with a semi-classical expansion) of the path-integral defined by this action. This provides a systematic expansion for two-point functions such as the response function and the usual two-point correlation. We present the results of two such expansions (and related variants) at oneloop order for a SCDM and a ΛCDM cosmology. We find that the response function exhibits fast oscillations in the non-linear regime with an amplitude which either follows the linear prediction (for the direct steepest-descent scheme) or decays (for the 2PI effective action scheme). On the other hand, the correlation function agrees with the standard one-loop result in the quasi-linear regime and remains well-behaved in the highly non-linear regime. This suggests that these large-N expansions could provide a good framework to study the dynamics of gravitational clustering in the non-linear regime. Moreover, the use of various expansion schemes allows one to estimate their range of validity without the need of N−body simulations and could provide a better accuracy in the weakly non-linear regime.
منابع مشابه
Dynamics of gravitational clustering V. Subleading corrections in the quasi-linear regime
We investigate the properties of the standard perturbative expansions which describe the early stages of the dynamics of gravitational clustering. We show that for hierarchical scenarios with no small-scale cutoff perturbation theory always breaks down beyond a finite order q+. Besides, the degree of divergence increases with the order of the perturbative terms so that renormalization procedure...
متن کاملA new approach to gravitational clustering: a path-integral formalism and large-N expansions
We show that the formation of large-scale structures through gravitational instability in the expanding universe can be fully described through a path-integral formalism. We derive the action S[f ] which gives the statistical weight associated with any phase-space distribution function f(x,p, t). This action S describes both the average over the Gaussian initial conditions and the Vlasov-Poisso...
متن کاملAdhesive Gravitational Clustering
The notion of adhesion has been advanced for the phenomenon of stabilization of large–scale structure emerging from gravitational instability of a cold medium. Recently, the physical origin of adhesion has been identified: a systematic derivation of the equations of motion for the density and the velocity fields leads naturally to the key equation of the ‘adhesion approximation’ – however, unde...
متن کاملA New Method for Clustering Wireless Sensor Networks to Improve the Energy Consumption
Clustering is an effective approach for managing nodes in Wireless Sensor Network (WSN). A new method of clustering mechanism with using Binary Gravitational Search Algorithm (BGSA) in WSN, is proposed in this paper to improve the energy consumption of the sensor nodes. Reducing the energy consumption of sensors in WSNs is the objective of this paper that is through selecting the sub optimum se...
متن کاملA Review on Gravitational Search Algorithm and its Applications to Data Clustering & Classification
− Natural phenomenon‘s and swarms behavior are the warm area of research among the researchers. A large number of algorithms have been developed on the account of natural phenomenon‘s and swarms behavior. These algorithms have been implemented on the various computational problems for the sake of solutions and provided significant results than conventional methods but there is no such algorithm...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006