English

De-contamination of cosmological 21-cm maps

Astrophysics 2008-12-21 v2

Abstract

We present a method for extracting the expected cosmological 21-cm signal from the epoch of reionization, taking into account contaminating radiations and random instrumental noise. The method is based on the maximum a-posteriori probability (MAP) formalism and employs the coherence of the contaminating radiation along the line-of-sight and the three-dimensional correlations of the cosmological signal. We test the method using a detailed and comprehensive modeling of the cosmological 21-cm signal and the contaminating radiation. The signal is obtained using a high resolution N-body simulation where the gas is assumed to trace the dark matter and is reionized by stellar radiation computed from semi-analytic galaxy formation recipes. We model contaminations to the cosmological signal from synchrotron and free-free galactic foregrounds and extragalactic sources including active galactic nuclei, radio haloes and relics, synchrotron and free-free emission from star forming galaxies, and free-free emission from dark matter haloes and the intergalactic medium. We provide tests of the reconstruction method for several rms values of instrumental noise from σN=1\sigma_{N}=1 to 250 mK. For low instrumental noise, the recovered signal, along individual lines-of-sight, fits the true cosmological signal with a mean rms difference of drms1.7±0.6d_{rms}\approx 1.7\pm 0.6 for σN=1\sigma_{N}=1 mK, and drms4.2±0.4d_{rms}\approx 4.2\pm 0.4 for σN=5\sigma_{N}=5 mK. The one-dimensional power spectrum is nicely reconstructed for all values of σN\sigma_{N} considered here, while the reconstruction of the two-dimensional power spectrum and the Minkowski functionals is good only for noise levels of the order of few mK.

Keywords

Cite

@article{arxiv.0712.0497,
  title  = {De-contamination of cosmological 21-cm maps},
  author = {Liron Gleser and Adi Nusser and Andrew J. Benson},
  journal= {arXiv preprint arXiv:0712.0497},
  year   = {2008}
}

Comments

19 pages, 17 figures, accepted for publication in MNRAS