Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-25T03:11:46.132Z Has data issue: false hasContentIssue false

Cross-correlation between cosmological and astrophysical datasets: the Planck and Herschel case

Published online by Cambridge University Press:  01 July 2015

Federico Bianchini
Affiliation:
SISSA, Via Bonomea 265, I-34136, Trieste, Italy email: [email protected]
Andrea Lapi
Affiliation:
SISSA, Via Bonomea 265, I-34136, Trieste, Italy email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

We present the first measurement of the correlation between the map of the CMB lensing potential derived from the Planck nominal mission data and z ≳ 1.5 galaxies detected by Herschel-ATLAS (H-ATLAS) survey covering about 550 deg2. We detect the cross-power spectrum with a significance of ∼ 8.5σ, ruling out the absence of correlation at 9σ. We check detection with a number of null tests. The amplitude of cross-correlation and the galaxy bias are estimated using joint analysis of the cross-power spectrum and the galaxy survey auto-spectrum, which allows to break degeneracy between these parameters. The estimated galaxy bias is consistent with previous estimates of the bias for the H-ATLAS data, while the cross-correlation amplitude is higher than expected for a ΛCDM model. The content of this work is to appear in a forthcoming paper Bianchini, et al. (2014).

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2015 

References

Bianchini, F., et al. 2014, in preparationGoogle Scholar
Lapi, A., et al. 2011, ApJ, 742, 24Google Scholar
Ade, P. A. R., et al. 2013, arXiv:1303.5076Google Scholar
Ade, P. A. R., et al. 2013, arXiv:1303.5077Google Scholar
Xia, J.-Q., et al. 2012, MNRAS, 422, 1324CrossRefGoogle Scholar
Gonzalez-Nuevo, J., et al. 2012, ApJ 749, 65CrossRefGoogle Scholar
Gonzlez-Nuevo, J., et al. 2014, arXiv:1401.4094Google Scholar