A Test of the Adhesion Approximation for Gravitational Clustering

نویسندگان

  • Adrian L. Melott
  • Sergei F. Shandarin
  • David H. Weinberg
چکیده

We quantitatively compare a particle implementation of the adhesion approximation to fully non–linear, numerical “N–body” simulations. Our primary tool, cross–correlation of N–body simulations with the adhesion approximation, indicates good agreement, better than that found by the same test performed with the Zel’dovich approximation (hereafter ZA). However, the cross–correlation is not as good as that of the truncated Zel’dovich approximation (TZA), obtained by applying the Zel’dovich approximation after smoothing the initial density field with a Gaussian filter. We confirm that the adhesion approximation produces an excessively filamentary distribution. Relative to the N–body results, we also find that: (a) the power spectrum obtained from the adhesion approximation is more accurate than that from ZA or TZA, (b) the error in the phase angle of Fourier components is worse than that from TZA, and (c) the mass distribution function is more accurate than that from ZA or TZA. It appears that adhesion performs well statistically, but that TZA is more accurate dynamically, in the sense of moving mass to the right place. Subject Heading: Galaxies, formation, clustering–large–scale structure of the Universe

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Adhesive 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 کامل

A 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 کامل

Comparison of Dynamical Approximation Schemes for Non–Linear Gravitational Clustering

We have recently conducted a controlled comparison of a number of approximations for gravitational clustering against the same n–body simulations. These include ordinary linear perturbation theory (Eulerian), the lognormal approximation, the adhesion approximation, the frozen-flow approximation, the Zel’dovich approximation (describable as first–order Lagrangian perturbation theory), and its se...

متن کامل

Gravitational instability in the strongly nonlinear regime: A study of various approximations

We study the development of gravitational instability in the strongly non-linear regime. For this purpose we use a number of statistical indicators such as filamentary statistics, spectrum of overdense/underdense regions and the void probability function, each of which probes a particular aspect of gravitational clustering. We use these statistical indicators to discriminate between different a...

متن کامل

یکپارچه‌سازی بهینه انرژی باد در برنامه‌ریزی توسعه تولید انرژی الکتریکی با در نظر گرفتن نوسانات و عدم قطعیت

Wind Power generation integrated in electrical power system can cause of variation and uncertainty which must be considered in process of generation expansion planning (GEP). The goal of this study is to model the GEP problem integrated with wind power generation and introduce the fuzzy-probability model to consider variation and uncertainty of wind power generation. To verify and optimize the ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1993