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The spatially resolved star formation history of mergers: A comparative study of the LIRGs IC1623, NGC6090, NGC2623, and Mice

Published 17 Jul 2017 in astro-ph.GA | (1707.05324v1)

Abstract: This paper presents the spatially resolved star formation history (2D-SFH) of a small sample of four local mergers: the early-stage mergers IC1623, NGC6090, and the Mice, and the more advanced merger NGC2623, by analyzing IFS data from the CALIFA survey and PMAS in LArr mode. Full spectral fitting techniques are applied to the datacubes to obtain the spatially resolved mass growth histories, the time evolution of the star formation rate intensity ($\Sigma_{SFR}$), and the local specific star formation rate, over three different timescales (30 Myr, 300 Myr, and 1 Gyr). The results are compared with non-interacting Sbc--Sc galaxies, to quantify if there is an enhancement of the star formation and to trace its time scale and spatial extent. Our results for the three LIRGs (IC1623W, NGC6090, and NGC2623) show that a major phase of star formation is occurring in time scales of 10${7}$ yr to few 10${8}$ yr, with global SFR enhancements of $\sim$2--6 with respect to main-sequence star forming (MSSF) galaxies. In the two early-stage mergers IC1623W and NGC6090, which are between first pericenter passage and coalescence, the most remarkable increase of the SFR with respect to non-interacting spirals occurred in the last 30 Myr, and it is spatially extended, with enhancements of factors 2--7 both in the centres ($r <$ 0.5 half light radius, HLR), and in the disks ($r >$ 1 HLR). In the more advanced merger NGC 2623 an extended phase of star formation occurred on a longer time-scale of $\sim$1 Gyr, with a SFR enhancement of a factor $\sim$2--3 larger than the one in Sbc--Sc MSSF galaxies over the same period, probably relic of the first pericenter passage epoch. A SFR enhancement in the last 30 Myr is also present, but only in NGC2623 centre, by a factor 3. In general, the spatially resolved SFHs of the LIRG-mergers are consistent with the predictions from high spatial resolution simulations.

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