Abstract
We propose an algorithm for the reconstruction of the signal induced by cosmic strings in the cosmic microwave background (CMB), from radio-interferometric data at arcminute resolution. Radio interferometry provides incomplete and noisy Fourier measurements of the string signal, which exhibits sparse or compressible magnitude of the gradient due to the Kaiser-Stebbins effect. In this context, the versatile framework of compressed sensing naturally applies for solving the corresponding inverse problem. Our algorithm notably takes advantage of a model of the prior statistical distribution of the signal fitted on the basis of realistic simulations. Enhanced performance relative to the standard CLEAN algorithm is demonstrated by simulated observations under noise conditions including primary and secondary CMB anisotropies.
Original language | English |
---|---|
Pages (from-to) | 2626-2636 |
Number of pages | 11 |
Journal | Monthly Notices of the Royal Astronomical Society |
Volume | 402 |
Issue number | 4 |
DOIs | |
Publication status | Published - 11 Mar 2010 |
Keywords
- Cosmic microwave background
- Techniques: image processing
- Techniques: interferometric
ASJC Scopus subject areas
- Space and Planetary Science
- Astronomy and Astrophysics