We report on a novel method to solve the basket-weaving problem.
Basket-weaving is a technique that is used to remove scan-line patterns from
single-dish radio maps. The new approach applies linear least-squares and works
on gridded maps from arbitrarily sampled data, which greatly improves
computational efficiency and robustness. It also allows masking of bad data,
which is useful for cases where radio frequency interference is present in the
data. We evaluate the algorithms using simulations and real data obtained with
the Effelsberg 100-m telescope.Comment: 11 pages, 11 figures, accepted by A&