Evolution of UV-NIR structural properties of cluster galaxies

We study the structure and the internal colour gradients of cluster galaxies from UV to NIR restframe, in the redshift range z = 0.21-0.64. Structural parameters (half light radius r(e), mean surface brightness [mu](e) and Sersic index n) are derived for galaxies in the clusters A209 at z = 0.21 and EIS 0048 at z = 0.64. This data set, together with previous data for the cluster AC118 at z = 0.31, constitutes the first large (N similar to 270) sample of cluster galaxies whose internal structure in UV, optical (OPT) and NIR (U-, V- and H-band restframe) can be investigated up to a look-back time of similar to6 Gyr (Omega(m) = 0.3, Omega(Lambda) = 0.7 and H-0 = 70 km s(-1) Mpc(-1)). Galaxies are classified as spheroids or disks according to the shape of the light profile, and the evolution of the two populations are investigated separately. On average, both spheroids and disks are more concentrated at longer wavelengths: the galaxy sizes become smaller from UV to NIR, while Sersic indices increase. This trend shows an evolution in disks, where the mean ratio of optical to NIR Sersic indices decreases from z = 0.31 to z = 0.64. Colour gradients are on average negative at all redshifts and are stronger in disks than in spheroids. But while for spheroids both grad (UV-OPT) and grad (OPT-NIR) are only weakly dependent on redshift, the optical-NIR gradients of disks become significantly smaller at z = 0.64. Colour gradients and central colours are compared with models of metallicity, age, and dust extinction gradients. Metallicity turns out to be the primary driver of colour gradients in spheroids, the age gradient being constrained to be smaller than similar to25%. For disks, two kinds of models fit the present data: (i) age gradients (in the range [30, 50]%) with significant dust extinction, and (ii) pure dust models, in which the gradients of colour excess are a factor of two higher in EIS 0048 than in the other clusters. Since colour gradients of disks seem not to correlate significantly with inclination, we argue that age gradient models could represent a more likely explanation of the present data, in agreement with what expected on the basis of hierarchical merging scenarios.