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We present new clean maps of the CMB temperature anisotropies (as measured byPlanck) constructed with a novel internal linear combination (ILC) algorithmusing directional, scale-discretised wavelets --- Scale-discretised,directional wavelet ILC or SILC. Directional wavelets, when convolved withsignals on the sphere, can separate the anisotropic filamentary structureswhich are characteristic of both the CMB and foregrounds. Extending previouscomponent separation methods, which use the frequency, spatial and harmonicsignatures of foregrounds to separate them from the cosmological backgroundsignal, SILC can additionally use morphological information in the foregroundsand CMB to better localise the cleaning algorithm. We test the method on Planckdata and simulations, demonstrating consistency with existing componentseparation algorithms, and discuss how to optimise the use of morphologicalinformation by varying the number of directional wavelets as a function ofspatial scale. We find that combining the use of directional and axisymmetricwavelets depending on scale could yield higher quality CMB temperature maps.Our results set the stage for the application of SILC to polarisationanisotropies through an extension to spin wavelets.

SILC: a new Planck Internal Linear Combination CMB temperature map using directional wavelets