Physical properties of numerical clusters

Physical properties of numerical clusters

New Astronomy Reviews 42 (1998) 141-144 Physical Properties of Numerical Clusters Geraint Dept. of Astronomy, F. Lewis’ University of Washington...

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New Astronomy

Reviews 42 (1998) 141-144

Physical Properties of Numerical Clusters

Geraint Dept.

of Astronomy,

F. Lewis’

University of Washington, Box 351580, Seattle, W.A. 98195-1580, U.S.A. 6

Dept. Physics

& Astronomy, University of Victoria, B.C. V8 W 3P6, Canada

PO Box 3055,

Victoria,

Abstract As part of an on-going study of numerical simulations of large-scale structure formation we present an initial analysis of the physical properties, such as X-ray surface brightness distributions recent high-resolution Key words: Numerical

1

and weak lensing maps, of galaxy clusters. simulation of a “Virgo-sized” cluster.

Simulations,

X-rays,

Gravitational

We focus on a

Lensing

Introduction

The goal of theoretical cosmology is to understand the formation and evolution of galaxies, clusters and large-scale structure in the Universe. Due to non-linearities in the process of structure formation, and the complexity of large- and small-scale gas dynamics, the applicability of analytic techniques is severely limited. Over recent decades such problems have been tackled within the framework of numerical simulations. In this article we outline an ongoing simulations of cluster formation, project to analyze recent “state-of-the-art” focusing on properties that are directly accessible to observation.

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Simulations

Following previous work (Katz & White 1993), the employed simulations were undertaken with TreeSPH (Katz, Weinberg & Hernquist 1996), a smooth particle hydrodynamical code which uses hierarchical tree techniques to calculate the gravitational force. For the simulation presented here, a low resolution, 50h-’ Mpc run within a standard CDM cosmology (0 = l,gs = 0.7) was ’ E-mail:

gf Mastro .Washington.

edu

1387.6473/98/$ - see front matter 0 1998 Elsevier Science B.V. All rights reserved. PII:

S1387-6473(98)00036-O

Fig. 1. A map of the 2 + cluster centre.

undertaken cluster

using only dark matter.

was identified

for this second of the cluster highest

10 keV X-ray

ter particles

A system

and the simulation

run the particle

regions the resolution

within the cluster

3

corresponding

Qb = 0.05,

was N 15 kpc, with -

virial radius.

to a Virgo-like

centered

was increased

assuming

was found within this radius, undergoing and reheating

within two virial radii of the

was re-run,

resolution

and a gas component,

density

distribution

the vicinity

was added. 10,000

A similar number

radiative

on this cluster;

within

In the

dark mat-

of gas particles

cooling and star

formation

the gas via supernovae.

Observables

As outlined

above,

these

leading

to a number

directly

with observations.

3.1

X-ray

The

hydrodynamic

the state

simulations

of properties

contain of these

a wealth clusters

of physical that

processes,

can be compared

Maps

nature

and evolution

of the simulation

of the gas properties

allows a detailed within

knowledge

the cluster

potential,

of

G.F. Lewis I New Astronomy

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Reviews

42 (1998) 141-144

0

143

1

R h-’ Mpc Fig. 2. A map of the X-ray cluster centre.

weighted temperature

within two virial radii of the

allowing the determination of the X-ray emission of the gas (e.g. Raymond a map for a 2 + 10 keV pass-band is presented in & Smith 1977). Such Figure 1. Although no instrument response has been folded into this image, it is straightforward to add the characteristics of a particular X-ray telescope. 3.2

Temperature

Maps

With the development of increased spatial and spectral sensitivity, X-ray telescopes are now able to map the emission-weighted gas temperature over a cluster [e.g. Markevitch (1998)]. With the above prescription for X-ray emission, such maps can be calculated directly from the simulations, an example of which is presented in Figure 2. In a similar fashion to the X-ray images, an instrument response and resolution can be folded into such maps.

3.3

Lensing

Characteristics

One quantity directly available from such simulations is a map of the projected cluster mass distribution, and such maps can be used to study the gravitational lensing characteristics in such systems. This is illustrated in Figure 3, which presents the shear map for the simulation presented here. Although a coherent shear direction about the cluster is apparent, the degree of the shearing on scales of the virial radius is very small.

144

G.F. Lewis ! New Astronomy

8 ‘.

Reviews

42 (1998) 141-144

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Fig. 3. An X-ray lensing map. The frame is 4h-‘Mpc in extent, pixelated to ,512’. The contours present the log of the mass, while the crosses and ellipses represent the image shearing due to lensing. The cluster was placed at z = 0.2, with a source plan at z = 1. Even though the shear ellipses have been accentuated by a factor of several times, it is clear that the lensing potential of this cluster is weak.

4

Conclusions

This paper has outlined of an ongoing

allow an assessment

simulations

of the effects

true three-dimensional results

some of the physical

study of numerical

of cluster

of orientation

characteristics

of the analyses

observables

These

on the determination

of the underlying

will be presented

which are the focus formation. cluster.

in a forthcoming

article

will

of the

More detailed (Lewis

et al.

1998).

References Katz,

N., Weinberg,

Katz,

N. and White,

Lewis, G. F., Babul, 1998, In prep. Markevitch, Raymond,

D. H. and Hernquist,

L., 1996, Astrophys.

S. D. M., 1993, Astrophys. A., Katz,

N., Quinn,

J. Supp.,

105, 19

J., 412, 455

T., Hernquist,

L. and Weinberg,

M., 1998, astro-ph/9802059 J. C. and Smith, B. W., 1977, Astrophys. J. Supp., 35, 419

M. H.,