Foreground removal using fastica: a showcase of LOFAR-EoR

被引:152
作者
Chapman, Emma [1 ]
Abdalla, Filipe B. [1 ]
Harker, Geraint [2 ,3 ]
Jelic, Vibor [4 ]
Labropoulos, Panagiotis [4 ,5 ]
Zaroubi, Saleem [5 ]
Brentjens, Michiel A. [4 ]
de Bruyn, A. G. [4 ,5 ]
Koopmans, L. V. E. [5 ]
机构
[1] UCL, Dept Phys & Astron, London WC1E 6BT, England
[2] Univ Colorado, Ctr Astrophys & Space Astron, Boulder, CO 80309 USA
[3] NASA, Ames Res Ctr, Lunar Sci Inst, Moffett Field, CA 94035 USA
[4] ASTRON, NL-7990 AA Dwingeloo, Netherlands
[5] Univ Groningen, Kapteyn Astron Inst, NL-9700 AV Groningen, Netherlands
关键词
methods: statistical; cosmology: theory; dark ages; reionization; first stars; diffuse radiation; ASTROPHYSICAL COMPONENT SEPARATION; 21 CENTIMETER FLUCTUATIONS; REDSHIFTED; 21-CM; INTERGALACTIC MEDIUM; REIONIZATION EPOCH; EMISSION; SIMULATIONS; TOMOGRAPHY; HYDROGEN; SIGNAL;
D O I
10.1111/j.1365-2966.2012.21065.x
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We introduce a new implementation of the fastica algorithm on simulated Low Frequency Array Epoch of Reionization data with the aim of accurately removing the foregrounds and extracting the 21-cm reionization signal. We find that the method successfully removes the foregrounds with an average fitting error of 0.5 per cent and that the 2D and 3D power spectra are recovered across the frequency range. We find that for scales above several point spread function scales, the 21-cm variance is successfully recovered though there is evidence of noise leakage into the reconstructed foreground components. We find that this blind independent component analysis technique provides encouraging results without the danger of prior foreground assumptions.
引用
收藏
页码:2518 / 2532
页数:15
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