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Sunyaev–Zel'dovich predictions for the Planck Surveyor satellite using the Hubble Volume simulations

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posted on 2023-06-08, 04:59 authored by Scott T Kay, Andrew R Liddle, Peter ThomasPeter Thomas
We use the billion-particle Hubble Volume simulations to make statistical predictions for the distribution of galaxy clusters that will be observed by the Planck Surveyor satellite through their effect on the cosmic microwave background – the Sunyaev–Zel'dovich (SZ) effect. We utilize the lightcone data sets for both critical density (tCDM) and flat low-density (?CDM) cosmologies: a ‘full-sky’ survey out to z~0.5, two ‘octant’ data sets out to beyond z=1, and a 100 square degree data set extending to z~4. Making simple, but robust, assumptions regarding both the thermodynamic state of the gas and the detection of objects against an unresolved background, we present the expected number of SZ sources as a function of redshift and angular size, and also as a function of flux (for both the thermal and kinetic effects) for three of the relevant High Frequency Instrument frequency channels. We confirm the expectation that the Planck Surveyor will detect around 5×104 clusters, though the exact number is sensitive to the choice of several parameters including the baryon fraction, and also to the cluster density profile, so that either cosmology may predict more clusters. We also find that the majority of detected sources should be at z<1.5, and we estimate that around 1 per cent of clusters will be spatially resolved by the Planck Surveyor, though this has a large uncertainty.

History

Publication status

  • Published

File Version

  • Published version

Journal

Monthly Notices of the Royal Astronomical Society

ISSN

0035-8711

Publisher

Oxford University Press

Issue

2

Volume

325

Page range

835-844

Department affiliated with

  • Physics and Astronomy Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

First Open Access (FOA) Date

2016-03-22

First Compliant Deposit (FCD) Date

2016-11-10

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