A&A 408, 835-843 (2003)
DOI: 10.1051/0004-6361:20031108
Digital deblurring of CMB maps
II. Asymmetric point spread function
R. Vio1, J. G. Nagy2, L. Tenorio3, P. Andreani4, C. Baccigalupi5 and W. Wamsteker61 Chip Computers Consulting s.r.l., Viale Don L. Sturzo 82, S.Liberale di Marcon, 30020 Venice, Italy ESA-VILSPA, Apartado 50727, 28080 Madrid, Spain
e-mail: robertovio@tin.it
2 Department of Mathematics and Computer Science, Emory University, Atlanta, GA 30322, USA
e-mail: nagy@mathcs.emory.edu
3 Department of Mathematical and Computer Sciences, Colorado School of Mines, Golden CO 80401, USA
e-mail: ltenorio@Mines.EDU
4 Osservatorio Astronomico di Padova, vicolo dell'Osservatorio 5, 35122 Padua, Italy
e-mail: andreani@pd.astro.it
5 SISSA/ISAS, Via Beirut 4, 34014 Trieste, Italy
e-mail: bacci@sissa.it
6 ESA-VILSPA, Apartado 50727, 28080 Madrid, Spain
e-mail: willem.wamsteker@esa.int
(Received 11 March 2003 / Accepted 11 July 2003)
Abstract
In this second paper in a series dedicated to developing efficient
numerical techniques for the deblurring Cosmic Microwave Background (CMB)
maps, we consider the case of asymmetric point spread functions (PSF). Although
conceptually this problem is not different from the symmetric case, there are important
differences from the computational point of view because it is no longer possible to use some
of the efficient
numerical techniques that work with symmetric PSFs. We present procedures that permit the use
of efficient techniques even when this condition is not met. In particular, two methods are considered:
a procedure based on a Kronecker approximation technique that can be implemented with the
numerical methods used with symmetric PSFs but that has the limitation of requiring only
mildly asymmetric PSFs. The second is a variant of the classic Tikhonov technique that works even with
very asymmetric PSFs but that requires discarding the edges of the maps. We
provide details for efficient implementations of the algorithms. Their performance is tested on simulated
CMB maps.
Key words: methods: data analysis -- methods: statistical -- cosmology: cosmic microwave background
Offprint request: R. Vio, robertovio@tin.it
© ESO 2003

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