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Outflows from dwarf starbursts are ubiquitous: kinematics of z<0.3 GRB-SN hosts resolved with FLAMES

57   0   0.0 ( 0 )
 Added by C. C. Th\\\"one
 Publication date 2019
  fields Physics
and research's language is English




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The hosts of long duration gamma-ray bursts are predominantly starburst galaxies at subsolar metallicity. At redshifts z<1, this implies that most of them are low-mass dwarf galaxies similar to the populations of blue compact dwarfs and dwarf irregulars. What triggers the massive star-formation needed for producing a GRB progenitor is still largely unknown, as are the resolved gas properties and kinematics of these galaxies and their formation history. Here we present a sample of six spatially resolved GRB hosts at z<0.3 observed with 3D spectroscopy at high spectral resolution (R=8,000-13,000) using FLAMES/VLT. We analyze the resolved gas kinematics in the full and the abundances in a subsample. Only two galaxies show a regular disk-like rotation field, two are dispersion dominated and the others have several narrow emission components associated with different parts of the galaxy, which might indicate recent mergers. All galaxies show evidence for broad components underlying the main narrow emission with FWHM of 150-300 km/s. This broad component is more metal rich than the narrow components, blueshifted and follows a different velocity structure. We find a weak correlation between the star-formation rate and the FHWM of the broad component, its flux relative to the narrow component and the maximum outflow velocity of the gas, but we not find any correlation with the star-formation density, metallicity or stellar mass. We associate this broad component with a metal rich outflow from star-forming regions in the host. The GRB is not found at the brightest or most extreme region of the host but is always associated with a star-forming region showing a clear wind component. Our study shows the great potential of 3D spectroscopy to study the star-formation processes in galaxies hosting extreme transients, the need for high S/N and the dangers using un- or only partially resolved data.



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