Absorption line-strengths of 18 late-type spiral galaxies observed with SAURON
Katia Ganda, Reynier F. Peletier, Richard M. McDermid, Jes\'us, Falc\'on-Barroso, P.T. de Zeeuw, Roland Bacon, Michele Cappellari, Roger L., Davies, Eric Emsellem, Davor Krajnovi\'c, Harald Kuntschner, Marc Sarzi,, Glenn van de Ven

TL;DR
This study maps absorption line-strengths in 18 late-type spiral galaxies using SAURON, revealing their stellar population properties, age, metallicity, and star formation histories, and comparing them with early-type galaxies.
Contribution
First detailed two-dimensional line-strength maps for late-type spirals using SAURON, analyzing their stellar populations and star formation histories in comparison with other galaxy types.
Findings
Late-type spirals have higher Hbeta and lower metal indices than ellipticals.
Indices correlate with morphological type and central velocity dispersion.
Star formation in smaller galaxies is ongoing, while larger galaxies have ceased star formation.
Abstract
We present absorption line-strength maps for a sample of 18 Sb-Sd galaxies observed using the integral-field spectrograph SAURON. The SAURON spectral range allows the measurement of the Lick/IDS indices Hbeta, Fe5015 and Mgb, which can be used to estimate the stellar population parameters. We present here the two-dimensional line-strength maps for each galaxy. From the maps, we learn that late-type spiral galaxies tend to have high Hbeta and low Fe5015 and Mgb values, and that the Hbeta index has often a positive gradient over the field, while the metal indices peak in the central region. We investigate the relations between the central line-strength indices and their correlations with morphological type and central velocity dispersion, and compare the observed behaviour with that for ellipticals, lenticulars and early-type spirals from the SAURON survey. We find that our galaxies lie…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
